SQL эксперт - Вклад участника [ru]

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2010-06-03T05:48:32Z

Admin:

SQL эксперт:Отказ от ответственности

2010-06-01T15:26:45Z

Admin: Защищена страница «SQL эксперт:Отказ от ответственности» ([edit=sysop] (бессрочно) [move=sysop] (бессрочно))

SQLE.RU, Интернет-энциклопедия с открытым содержимым, является добровольным сообществом личностей и групп, создающих общее хранилище человеческих знаний. Её строение позволяет любому, кто имеет доступ к Интернету и браузер, изменять её содержание. Поэтому, пожалуйста, примите во внимание, что приведённые здесь сведения могут быть не проверенными профессионалами, обладающими знаниями в соответствующих областях, необходимыми для предоставления вам полной, точной или заслуживающей доверия информации о любом понятии в SQLE.RU.

Нельзя сказать, что в SQLE.RU не так уж много полезной и точной информации, однако вы должны сознавать, что SQLE.RU не может никаким способом гарантировать правильность приведённых в ней данных. Во время прочтения они могли быть только что изменены, испорчены, либо написаны тем, чьё мнение отличается от общепринятого в области знаний, интересующей вас.

Мы ищем пути проверки и отбора вызывающих наибольшее доверие версий статей, но мы не можем ничего гарантировать. Наше наибольшее достижение — это избранные участниками статьи, но даже они могли быть испорчены или искажены кем-то за несколько мгновений до прочтения вами.

Никто из авторов, участников, спонсоров, администраторов, операторов и лиц, как-либо ещё связанных с SQLE.RU, не несёт ответственность за появление неточной или ложной информации, а также за использование вами данных, содержащихся на этих веб-страницах либо найденных по ссылкам с них.
Пожалуйста, примите во внимание, что вся информация, находящаяся здесь, предоставлена свободно, как акт доброй воли, без заключения каких-либо договорённостей или договоров между вами и владельцами или пользователями данного сайта, владельцами серверов, на которых он размещён, авторами SQLE.RU, администраторами проекта, операторами либо кем-то ещё, любым образом связанными с этим или родственными ему проектами, которые [договора] могут стать предметом прямых претензий. Вам предоставляется ограниченное право копировать содержимое этого сайта — данное право не предусматривает и не подразумевает никакой договорной или иной ответственности за любую часть SQLE.RU или её агентов, участников, организаторов или других пользователей.

Любые торговые марки, знаки и названия товаров, служб и организаций, права на дизайн, авторские и смежные права, которые упоминаются, используются или цитируются в статьях, принадлежат их законным владельцам. Их использование здесь не даёт вам право на любое другое использование, кроме предусмотренного авторами статей SQLE.RU в соответствии со схемой лицензирования GFDL. Если не указано иное, SQLE.RU никак не связан с правообладателями, и поэтому SQLE.RU не может распоряжаться правами на использование материалов, защищённых авторским правом. Вы несёте ответственность за использование этих и подобных материалов.

Обратите внимание, что чтение, распространение или изменение информации, размещённой в SQLE.RU, может являться нарушением законов той страны, в которой вы просматриваете этот сайт. SQLE.RU не призывает к нарушению никаких законов. Законы вашей страны могут трактовать защиту свободы слова не так широко, как законы России — в этом случае SQLE.RU не несёт ответственности за любые потенциальные нарушения этих законов вами при создании ссылок на этот сайт или другом использовании любой содержащейся здесь информации.

Несмотря на то, что пользователи могут исправлять ошибки или убирать ошибочные суждения, они не обязаны этого делать. Поэтому вся информация предоставляется без гарантии полезности для любой цели либо пригодности к какому-либо использованию.

SQLE.RU не может нести ответственность за любой нанесённый ущерб, так как является добровольным сообществом, свободно организованным для создания открытых образовательных, культурных и информационных ресурсов. Информация предоставляется как акт доброй воли и не существует соглашения или акта о намерениях между вами и SQLE.RU относительно использования или изменения информации, не предусмотренного GNU Free Documentation License. Также никто в SQLE.RU не несёт ответственности за изменение, редактирование или удаление любой информации, добавленной вами в SQLE.RU или другие связанные с ней проекты.

Спасибо, что потратили своё время на чтение этой страницы. Желаем вам получить только приятные впечатления от пользования SQLE.RU.

Заглавная страница

2010-06-01T15:26:35Z

Admin: Защищена страница «Заглавная страница» ([edit=sysop] (бессрочно) [move=sysop] (бессрочно))

<div style="text-align: center; width: 90%; padding: 0.5em; margin: auto;">
На данный момент уже '''{{NUMBEROFPAGES}}''' {{plural: {{NUMBEROFPAGES}} |страница|страниц}} и '''{{NUMBEROFFILES}}''' {{plural: {{NUMBEROFFILES}} |файл|файлов}}.
</div>

== SQL/MySQL ==
{| width="100%"
|- valign="top"
| style="width: 25%;"|
* [[SQL/MySQL/Backup Load | Backup Load]]
* [[SQL/MySQL/Command MySQL | Command MySQL]]
* [[SQL/MySQL/Cursor | Cursor]]
* [[SQL/MySQL/Data Type | Data Type]]
* [[SQL/MySQL/Database | Database]]
* [[SQL/MySQL/Date Time | Date Time]]
| style="width: 25%;"|
* [[SQL/MySQL/Flow Control | Flow Control]]
* [[SQL/MySQL/Function | Function]]
* [[SQL/MySQL/Insert Delete Update | Insert Delete Update]]
* [[SQL/MySQL/Join | Join]]
* [[SQL/MySQL/Key | Key]]
* [[SQL/MySQL/Math | Math]]
| style="width: 25%;"|
* [[SQL/MySQL/Procedure Function | Procedure Function]]
* [[SQL/MySQL/Select Clause | Select Clause]]
* [[SQL/MySQL/String | String]]
* [[SQL/MySQL/Table Index | Table Index]]
* [[SQL/MySQL/Transaction | Transaction]]
* [[SQL/MySQL/Trigger | Trigger]]
| style="width: 25%;"|
* [[SQL/MySQL/User Permission | User Permission]]
* [[SQL/MySQL/View | View]]
* [[SQL/MySQL/Where Clause | Where Clause]]
|}

== Учебник MySQL ==
{| width="100%"
|- valign="top"
| style="width: 25%;"|
* [[MySQL Tutorial/Aggregate Functions | Aggregate Functions]]
* [[MySQL Tutorial/Cast Functions Operators | Cast Functions Operators]]
* [[MySQL Tutorial/Comparison Functions Operators | Comparison Functions Operators]]
* [[MySQL Tutorial/Control Flow Functions | Control Flow Functions]]
* [[MySQL Tutorial/Cursor | Cursor]]
* [[MySQL Tutorial/Data Dictionary | Data Dictionary]]
* [[MySQL Tutorial/Data Types | Data Types]]
* [[MySQL Tutorial/Database | Database]]
| style="width: 25%;"|
* [[MySQL Tutorial/Date Time Functions | Date Time Functions]]
* [[MySQL Tutorial/Encryption Compression Functions | Encryption Compression Functions]]
* [[MySQL Tutorial/Information Functions | Information Functions]]
* [[MySQL Tutorial/Insert Update Delete | Insert Update Delete]]
* [[MySQL Tutorial/Introduction | Introduction]]
* [[MySQL Tutorial/Logic Operator | Logic Operator]]
* [[MySQL Tutorial/Math Numeric Functions | Math Numeric Functions]]
* [[MySQL Tutorial/Miscellaneous Functions | Miscellaneous Functions]]
| style="width: 25%;"|
* [[MySQL Tutorial/MySQL Utilities | MySQL Utilities]]
* [[MySQL Tutorial/Privilege | Privilege]]
* [[MySQL Tutorial/Procedure Function | Procedure Function]]
* [[MySQL Tutorial/Regular Expressions | Regular Expressions]]
* [[MySQL Tutorial/Select Query | Select Query]]
* [[MySQL Tutorial/String Functions | String Functions]]
* [[MySQL Tutorial/Subquery | Subquery]]
* [[MySQL Tutorial/Table | Table]]
| style="width: 25%;"|
* [[MySQL Tutorial/Table Join | Table Join]]
* [[MySQL Tutorial/Trigger | Trigger]]
* [[MySQL Tutorial/View | View]]
|}

== Oracle PL/SQL ==
{| width="100%"
|- valign="top"
| style="width: 25%;"|
* [[Oracle PL/SQL/Aggregate Functions | Aggregate Functions]]
* [[Oracle PL/SQL/Analytical Functions | Analytical Functions]]
* [[Oracle PL/SQL/Char Functions | Char Functions]]
* [[Oracle PL/SQL/Constraints | Constraints]]
* [[Oracle PL/SQL/Conversion Functions | Conversion Functions]]
* [[Oracle PL/SQL/Cursor | Cursor]]
* [[Oracle PL/SQL/Data Type | Data Type]]
* [[Oracle PL/SQL/Date Timezone | Date Timezone]]
| style="width: 25%;"|
* [[Oracle PL/SQL/Hierarchical Query | Hierarchical Query]]
* [[Oracle PL/SQL/Index | Index]]
* [[Oracle PL/SQL/Insert Delete Update | Insert Delete Update]]
* [[Oracle PL/SQL/Large Objects | Large Objects]]
* [[Oracle PL/SQL/Numeric Math Functions | Numeric Math Functions]]
* [[Oracle PL/SQL/Object Oriented Database | Object Oriented Database]]
* [[Oracle PL/SQL/PL SQL | PL SQL]]
* [[Oracle PL/SQL/Regular Expressions | Regular Expressions]]
| style="width: 25%;"|
* [[Oracle PL/SQL/Report Column Page | Report Column Page]]
* [[Oracle PL/SQL/Result Set | Result Set]]
* [[Oracle PL/SQL/SQL Plus | SQL Plus]]
* [[Oracle PL/SQL/Select Query | Select Query]]
* [[Oracle PL/SQL/Sequence | Sequence]]
* [[Oracle PL/SQL/Stored Procedure Function | Stored Procedure Function]]
* [[Oracle PL/SQL/Subquery | Subquery]]
* [[Oracle PL/SQL/System Packages | System Packages]]
| style="width: 25%;"|
* [[Oracle PL/SQL/System Tables Views | System Tables Views]]
* [[Oracle PL/SQL/Table | Table]]
* [[Oracle PL/SQL/Table Joins | Table Joins]]
* [[Oracle PL/SQL/Trigger | Trigger]]
* [[Oracle PL/SQL/User Previliege | User Previliege]]
* [[Oracle PL/SQL/View | View]]
* [[Oracle PL/SQL/XML | XML]]
|}

== Учебник Oracle PL/SQL ==
{| width="100%"
|- valign="top"
| style="width: 25%;"|
* [[Oracle PL/SQL Tutorial/Aggregate Functions | Aggregate Functions]]
* [[Oracle PL/SQL Tutorial/Analytical Functions | Analytical Functions]]
* [[Oracle PL/SQL Tutorial/Character String Functions | Character String Functions]]
* [[Oracle PL/SQL Tutorial/Collections | Collections]]
* [[Oracle PL/SQL Tutorial/Conversion Functions | Conversion Functions]]
* [[Oracle PL/SQL Tutorial/Cursor | Cursor]]
* [[Oracle PL/SQL Tutorial/Date Timestamp Functions | Date Timestamp Functions]]
* [[Oracle PL/SQL Tutorial/Function Procedure Packages | Function Procedure Packages]]
* [[Oracle PL/SQL Tutorial/Index | Index]]
* [[Oracle PL/SQL Tutorial/Insert Update Delete | Insert Update Delete]]
| style="width: 25%;"|
* [[Oracle PL/SQL Tutorial/Introduction | Introduction]]
* [[Oracle PL/SQL Tutorial/Large Objects | Large Objects]]
* [[Oracle PL/SQL Tutorial/Linear Regression Functions | Linear Regression Functions]]
* [[Oracle PL/SQL Tutorial/Miscellaneous Functions | Miscellaneous Functions]]
* [[Oracle PL/SQL Tutorial/Numerical Math Functions | Numerical Math Functions]]
* [[Oracle PL/SQL Tutorial/Object Oriented | Object Oriented]]
* [[Oracle PL/SQL Tutorial/PL SQL Data Types | PL SQL Data Types]]
* [[Oracle PL/SQL Tutorial/PL SQL Operators | PL SQL Operators]]
* [[Oracle PL/SQL Tutorial/PL SQL Programming | PL SQL Programming]]
* [[Oracle PL/SQL Tutorial/PL SQL Statements | PL SQL Statements]]
| style="width: 25%;"|
* [[Oracle PL/SQL Tutorial/Query Select | Query Select]]
* [[Oracle PL/SQL Tutorial/Regular Expressions Functions | Regular Expressions Functions]]
* [[Oracle PL/SQL Tutorial/SQL Data Types | SQL Data Types]]
* [[Oracle PL/SQL Tutorial/SQL PLUS Session Environment | SQL PLUS Session Environment]]
* [[Oracle PL/SQL Tutorial/Sequences | Sequences]]
* [[Oracle PL/SQL Tutorial/Set | Set]]
* [[Oracle PL/SQL Tutorial/Statistical Functions | Statistical Functions]]
* [[Oracle PL/SQL Tutorial/System Packages | System Packages]]
* [[Oracle PL/SQL Tutorial/System Tables Data Dictionary | System Tables Data Dictionary]]
* [[Oracle PL/SQL Tutorial/Table | Table]]
| style="width: 25%;"|
* [[Oracle PL/SQL Tutorial/Table Joins | Table Joins]]
* [[Oracle PL/SQL Tutorial/Transaction | Transaction]]
* [[Oracle PL/SQL Tutorial/Trigger | Trigger]]
* [[Oracle PL/SQL Tutorial/User Privilege | User Privilege]]
* [[Oracle PL/SQL Tutorial/View | View]]
* [[Oracle PL/SQL Tutorial/XML | XML]]
|}

== PostgreSQL ==
{| width="100%"
|- valign="top"
| style="width: 25%;"|
* [[PostgreSQL/Aggregate Functions | Aggregate Functions]]
* [[PostgreSQL/Analytical Functions | Analytical Functions]]
* [[PostgreSQL/Array | Array]]
* [[PostgreSQL/Constraints | Constraints]]
* [[PostgreSQL/Cursor | Cursor]]
* [[PostgreSQL/Data Type | Data Type]]
| style="width: 25%;"|
* [[PostgreSQL/Database | Database]]
* [[PostgreSQL/Date Timezone | Date Timezone]]
* [[PostgreSQL/Index | Index]]
* [[PostgreSQL/Inheritance | Inheritance]]
* [[PostgreSQL/Insert Delete Update | Insert Delete Update]]
* [[PostgreSQL/Math Functions | Math Functions]]
| style="width: 25%;"|
* [[PostgreSQL/Postgre SQL | Postgre SQL]]
* [[PostgreSQL/Select Query | Select Query]]
* [[PostgreSQL/Sequence | Sequence]]
* [[PostgreSQL/Store Procedure Function | Store Procedure Function]]
* [[PostgreSQL/String Functions | String Functions]]
* [[PostgreSQL/Subquery | Subquery]]
| style="width: 25%;"|
* [[PostgreSQL/Table | Table]]
* [[PostgreSQL/Table Joins | Table Joins]]
* [[PostgreSQL/Transaction | Transaction]]
* [[PostgreSQL/User Previliege | User Previliege]]
* [[PostgreSQL/View | View]]
|}

== SQL Server/T-SQL ==
{| width="100%"
|- valign="top"
| style="width: 25%;"|
* [[SQL Server/T-SQL/Aggregate Functions | Aggregate Functions]]
* [[SQL Server/T-SQL/Analytical Functions | Analytical Functions]]
* [[SQL Server/T-SQL/Constraints | Constraints]]
* [[SQL Server/T-SQL/Cursor | Cursor]]
* [[SQL Server/T-SQL/Data Set | Data Set]]
* [[SQL Server/T-SQL/Data Type | Data Type]]
| style="width: 25%;"|
* [[SQL Server/T-SQL/Database | Database]]
* [[SQL Server/T-SQL/Date Timezone | Date Timezone]]
* [[SQL Server/T-SQL/Index | Index]]
* [[SQL Server/T-SQL/Insert Delete Update | Insert Delete Update]]
* [[SQL Server/T-SQL/Math Functions | Math Functions]]
* [[SQL Server/T-SQL/Select Query | Select Query]]
| style="width: 25%;"|
* [[SQL Server/T-SQL/Sequence | Sequence]]
* [[SQL Server/T-SQL/Store Procedure Function | Store Procedure Function]]
* [[SQL Server/T-SQL/String Functions | String Functions]]
* [[SQL Server/T-SQL/Subquery | Subquery]]
* [[SQL Server/T-SQL/System | System]]
* [[SQL Server/T-SQL/Table | Table]]
| style="width: 25%;"|
* [[SQL Server/T-SQL/Table Joins | Table Joins]]
* [[SQL Server/T-SQL/Transact SQL | Transact SQL]]
* [[SQL Server/T-SQL/Transaction | Transaction]]
* [[SQL Server/T-SQL/Trigger | Trigger]]
* [[SQL Server/T-SQL/View | View]]
* [[SQL Server/T-SQL/XML | XML]]
|}

== Учебник SQL Server/T-SQL ==
{| width="100%"
|- valign="top"
| style="width: 25%;"|
* [[SQL Server/T-SQL Tutorial/Aggregate Functions | Aggregate Functions]]
* [[SQL Server/T-SQL Tutorial/Analytical Functions | Analytical Functions]]
* [[SQL Server/T-SQL Tutorial/CLR | CLR]]
* [[SQL Server/T-SQL Tutorial/Constraints | Constraints]]
* [[SQL Server/T-SQL Tutorial/Cursor | Cursor]]
* [[SQL Server/T-SQL Tutorial/Data Convert Functions | Data Convert Functions]]
* [[SQL Server/T-SQL Tutorial/Data Types | Data Types]]
* [[SQL Server/T-SQL Tutorial/Database | Database]]
| style="width: 25%;"|
* [[SQL Server/T-SQL Tutorial/Date Functions | Date Functions]]
* [[SQL Server/T-SQL Tutorial/Index | Index]]
* [[SQL Server/T-SQL Tutorial/Insert Delete Update | Insert Delete Update]]
* [[SQL Server/T-SQL Tutorial/Math Functions | Math Functions]]
* [[SQL Server/T-SQL Tutorial/Procedure Function | Procedure Function]]
* [[SQL Server/T-SQL Tutorial/Query | Query]]
* [[SQL Server/T-SQL Tutorial/Sequence Indentity | Sequence Indentity]]
* [[SQL Server/T-SQL Tutorial/Set Operations | Set Operations]]
| style="width: 25%;"|
* [[SQL Server/T-SQL Tutorial/String Functions | String Functions]]
* [[SQL Server/T-SQL Tutorial/Subquery | Subquery]]
* [[SQL Server/T-SQL Tutorial/System Functions | System Functions]]
* [[SQL Server/T-SQL Tutorial/System Settings | System Settings]]
* [[SQL Server/T-SQL Tutorial/System Tables Views | System Tables Views]]
* [[SQL Server/T-SQL Tutorial/Table | Table]]
* [[SQL Server/T-SQL Tutorial/Table Join | Table Join]]
* [[SQL Server/T-SQL Tutorial/Transact SQL | Transact SQL]]
| style="width: 25%;"|
* [[SQL Server/T-SQL Tutorial/Transaction | Transaction]]
* [[SQL Server/T-SQL Tutorial/Trigger | Trigger]]
* [[SQL Server/T-SQL Tutorial/User Role | User Role]]
* [[SQL Server/T-SQL Tutorial/View | View]]
* [[SQL Server/T-SQL Tutorial/XML | XML]]
|}

SQL эксперт:Отказ от ответственности

2010-06-01T15:23:47Z

Admin: Новая страница: «SQLE.RU, Интернет-энциклопедия с открытым содержимым, является добровольным сообществом лич…»

Заглавная страница

2010-05-26T19:11:31Z

Admin:

Заглавная страница

2010-05-26T17:30:53Z

Admin:

Заглавная страница

2010-05-26T16:10:07Z

Admin:

<div style="text-align: center; width: 90%; padding: 0.5em; margin: auto;">
На данный момент уже '''{{NUMBEROFPAGES}}''' {{plural: {{NUMBEROFPAGES}} |страница|страниц}} и '''{{NUMBEROFFILES}}''' {{plural: {{NUMBEROFFILES}} |файл|файлов}}.
</div>

== SQL/MySQL ==
{| width="100%"
|- valign="top"
|
* [[SQL/MySQL/Backup Load | Backup Load]]
* [[SQL/MySQL/Command MySQL | Command MySQL]]
* [[SQL/MySQL/Cursor | Cursor]]
* [[SQL/MySQL/Data Type | Data Type]]
* [[SQL/MySQL/Database | Database]]
* [[SQL/MySQL/Date Time | Date Time]]
|
* [[SQL/MySQL/Flow Control | Flow Control]]
* [[SQL/MySQL/Function | Function]]
* [[SQL/MySQL/Insert Delete Update | Insert Delete Update]]
* [[SQL/MySQL/Join | Join]]
* [[SQL/MySQL/Key | Key]]
* [[SQL/MySQL/Math | Math]]
|
* [[SQL/MySQL/Procedure Function | Procedure Function]]
* [[SQL/MySQL/Select Clause | Select Clause]]
* [[SQL/MySQL/String | String]]
* [[SQL/MySQL/Table Index | Table Index]]
* [[SQL/MySQL/Transaction | Transaction]]
* [[SQL/MySQL/Trigger | Trigger]]
|
* [[SQL/MySQL/User Permission | User Permission]]
* [[SQL/MySQL/View | View]]
* [[SQL/MySQL/Where Clause | Where Clause]]
|}

== Учебник MySQL ==
{| width="100%"
|- valign="top"
|
* [[MySQL Tutorial/Aggregate Functions | Aggregate Functions]]
* [[MySQL Tutorial/Cast Functions Operators | Cast Functions Operators]]
* [[MySQL Tutorial/Comparison Functions Operators | Comparison Functions Operators]]
* [[MySQL Tutorial/Control Flow Functions | Control Flow Functions]]
* [[MySQL Tutorial/Cursor | Cursor]]
* [[MySQL Tutorial/Data Dictionary | Data Dictionary]]
* [[MySQL Tutorial/Data Types | Data Types]]
* [[MySQL Tutorial/Database | Database]]
|
* [[MySQL Tutorial/Date Time Functions | Date Time Functions]]
* [[MySQL Tutorial/Encryption Compression Functions | Encryption Compression Functions]]
* [[MySQL Tutorial/Information Functions | Information Functions]]
* [[MySQL Tutorial/Insert Update Delete | Insert Update Delete]]
* [[MySQL Tutorial/Introduction | Introduction]]
* [[MySQL Tutorial/Logic Operator | Logic Operator]]
* [[MySQL Tutorial/Math Numeric Functions | Math Numeric Functions]]
* [[MySQL Tutorial/Miscellaneous Functions | Miscellaneous Functions]]
|
* [[MySQL Tutorial/MySQL Utilities | MySQL Utilities]]
* [[MySQL Tutorial/Privilege | Privilege]]
* [[MySQL Tutorial/Procedure Function | Procedure Function]]
* [[MySQL Tutorial/Regular Expressions | Regular Expressions]]
* [[MySQL Tutorial/Select Query | Select Query]]
* [[MySQL Tutorial/String Functions | String Functions]]
* [[MySQL Tutorial/Subquery | Subquery]]
* [[MySQL Tutorial/Table | Table]]
|
* [[MySQL Tutorial/Table Join | Table Join]]
* [[MySQL Tutorial/Trigger | Trigger]]
* [[MySQL Tutorial/View | View]]
|}

== Oracle PL/SQL ==
{| width="100%"
|- valign="top"
|
* [[Oracle PL/SQL/Aggregate Functions | Aggregate Functions]]
* [[Oracle PL/SQL/Analytical Functions | Analytical Functions]]
* [[Oracle PL/SQL/Char Functions | Char Functions]]
* [[Oracle PL/SQL/Constraints | Constraints]]
* [[Oracle PL/SQL/Conversion Functions | Conversion Functions]]
* [[Oracle PL/SQL/Cursor | Cursor]]
* [[Oracle PL/SQL/Data Type | Data Type]]
* [[Oracle PL/SQL/Date Timezone | Date Timezone]]
|
* [[Oracle PL/SQL/Hierarchical Query | Hierarchical Query]]
* [[Oracle PL/SQL/Index | Index]]
* [[Oracle PL/SQL/Insert Delete Update | Insert Delete Update]]
* [[Oracle PL/SQL/Large Objects | Large Objects]]
* [[Oracle PL/SQL/Numeric Math Functions | Numeric Math Functions]]
* [[Oracle PL/SQL/Object Oriented Database | Object Oriented Database]]
* [[Oracle PL/SQL/PL SQL | PL SQL]]
* [[Oracle PL/SQL/Regular Expressions | Regular Expressions]]
|
* [[Oracle PL/SQL/Report Column Page | Report Column Page]]
* [[Oracle PL/SQL/Result Set | Result Set]]
* [[Oracle PL/SQL/SQL Plus | SQL Plus]]
* [[Oracle PL/SQL/Select Query | Select Query]]
* [[Oracle PL/SQL/Sequence | Sequence]]
* [[Oracle PL/SQL/Stored Procedure Function | Stored Procedure Function]]
* [[Oracle PL/SQL/Subquery | Subquery]]
* [[Oracle PL/SQL/System Packages | System Packages]]
|
* [[Oracle PL/SQL/System Tables Views | System Tables Views]]
* [[Oracle PL/SQL/Table | Table]]
* [[Oracle PL/SQL/Table Joins | Table Joins]]
* [[Oracle PL/SQL/Trigger | Trigger]]
* [[Oracle PL/SQL/User Previliege | User Previliege]]
* [[Oracle PL/SQL/View | View]]
* [[Oracle PL/SQL/XML | XML]]
|}

== Учебник Oracle PL/SQL ==
{| width="100%"
|- valign="top"
|
* [[Oracle PL/SQL Tutorial/Aggregate Functions | Aggregate Functions]]
* [[Oracle PL/SQL Tutorial/Analytical Functions | Analytical Functions]]
* [[Oracle PL/SQL Tutorial/Character String Functions | Character String Functions]]
* [[Oracle PL/SQL Tutorial/Collections | Collections]]
* [[Oracle PL/SQL Tutorial/Conversion Functions | Conversion Functions]]
* [[Oracle PL/SQL Tutorial/Cursor | Cursor]]
* [[Oracle PL/SQL Tutorial/Date Timestamp Functions | Date Timestamp Functions]]
* [[Oracle PL/SQL Tutorial/Function Procedure Packages | Function Procedure Packages]]
* [[Oracle PL/SQL Tutorial/Index | Index]]
* [[Oracle PL/SQL Tutorial/Insert Update Delete | Insert Update Delete]]
|
* [[Oracle PL/SQL Tutorial/Introduction | Introduction]]
* [[Oracle PL/SQL Tutorial/Large Objects | Large Objects]]
* [[Oracle PL/SQL Tutorial/Linear Regression Functions | Linear Regression Functions]]
* [[Oracle PL/SQL Tutorial/Miscellaneous Functions | Miscellaneous Functions]]
* [[Oracle PL/SQL Tutorial/Numerical Math Functions | Numerical Math Functions]]
* [[Oracle PL/SQL Tutorial/Object Oriented | Object Oriented]]
* [[Oracle PL/SQL Tutorial/PL SQL Data Types | PL SQL Data Types]]
* [[Oracle PL/SQL Tutorial/PL SQL Operators | PL SQL Operators]]
* [[Oracle PL/SQL Tutorial/PL SQL Programming | PL SQL Programming]]
* [[Oracle PL/SQL Tutorial/PL SQL Statements | PL SQL Statements]]
|
* [[Oracle PL/SQL Tutorial/Query Select | Query Select]]
* [[Oracle PL/SQL Tutorial/Regular Expressions Functions | Regular Expressions Functions]]
* [[Oracle PL/SQL Tutorial/SQL Data Types | SQL Data Types]]
* [[Oracle PL/SQL Tutorial/SQL PLUS Session Environment | SQL PLUS Session Environment]]
* [[Oracle PL/SQL Tutorial/Sequences | Sequences]]
* [[Oracle PL/SQL Tutorial/Set | Set]]
* [[Oracle PL/SQL Tutorial/Statistical Functions | Statistical Functions]]
* [[Oracle PL/SQL Tutorial/System Packages | System Packages]]
* [[Oracle PL/SQL Tutorial/System Tables Data Dictionary | System Tables Data Dictionary]]
* [[Oracle PL/SQL Tutorial/Table | Table]]
|
* [[Oracle PL/SQL Tutorial/Table Joins | Table Joins]]
* [[Oracle PL/SQL Tutorial/Transaction | Transaction]]
* [[Oracle PL/SQL Tutorial/Trigger | Trigger]]
* [[Oracle PL/SQL Tutorial/User Privilege | User Privilege]]
* [[Oracle PL/SQL Tutorial/View | View]]
* [[Oracle PL/SQL Tutorial/XML | XML]]
|}

== PostgreSQL ==
{| width="100%"
|- valign="top"
|
* [[PostgreSQL/Aggregate Functions | Aggregate Functions]]
* [[PostgreSQL/Analytical Functions | Analytical Functions]]
* [[PostgreSQL/Array | Array]]
* [[PostgreSQL/Constraints | Constraints]]
* [[PostgreSQL/Cursor | Cursor]]
* [[PostgreSQL/Data Type | Data Type]]
|
* [[PostgreSQL/Database | Database]]
* [[PostgreSQL/Date Timezone | Date Timezone]]
* [[PostgreSQL/Index | Index]]
* [[PostgreSQL/Inheritance | Inheritance]]
* [[PostgreSQL/Insert Delete Update | Insert Delete Update]]
* [[PostgreSQL/Math Functions | Math Functions]]
|
* [[PostgreSQL/Postgre SQL | Postgre SQL]]
* [[PostgreSQL/Select Query | Select Query]]
* [[PostgreSQL/Sequence | Sequence]]
* [[PostgreSQL/Store Procedure Function | Store Procedure Function]]
* [[PostgreSQL/String Functions | String Functions]]
* [[PostgreSQL/Subquery | Subquery]]
|
* [[PostgreSQL/Table | Table]]
* [[PostgreSQL/Table Joins | Table Joins]]
* [[PostgreSQL/Transaction | Transaction]]
* [[PostgreSQL/User Previliege | User Previliege]]
* [[PostgreSQL/View | View]]
|}

== SQL Server/T-SQL ==
{| width="100%"
|- valign="top"
|
* [[SQL Server/T-SQL/Aggregate Functions | Aggregate Functions]]
* [[SQL Server/T-SQL/Analytical Functions | Analytical Functions]]
* [[SQL Server/T-SQL/Constraints | Constraints]]
* [[SQL Server/T-SQL/Cursor | Cursor]]
* [[SQL Server/T-SQL/Data Set | Data Set]]
* [[SQL Server/T-SQL/Data Type | Data Type]]
|
* [[SQL Server/T-SQL/Database | Database]]
* [[SQL Server/T-SQL/Date Timezone | Date Timezone]]
* [[SQL Server/T-SQL/Index | Index]]
* [[SQL Server/T-SQL/Insert Delete Update | Insert Delete Update]]
* [[SQL Server/T-SQL/Math Functions | Math Functions]]
* [[SQL Server/T-SQL/Select Query | Select Query]]
|
* [[SQL Server/T-SQL/Sequence | Sequence]]
* [[SQL Server/T-SQL/Store Procedure Function | Store Procedure Function]]
* [[SQL Server/T-SQL/String Functions | String Functions]]
* [[SQL Server/T-SQL/Subquery | Subquery]]
* [[SQL Server/T-SQL/System | System]]
* [[SQL Server/T-SQL/Table | Table]]
|
* [[SQL Server/T-SQL/Table Joins | Table Joins]]
* [[SQL Server/T-SQL/Transact SQL | Transact SQL]]
* [[SQL Server/T-SQL/Transaction | Transaction]]
* [[SQL Server/T-SQL/Trigger | Trigger]]
* [[SQL Server/T-SQL/View | View]]
* [[SQL Server/T-SQL/XML | XML]]
|}

== Учебник SQL Server/T-SQL ==
{| width="100%"
|- valign="top"
|
* [[SQL Server/T-SQL Tutorial/Aggregate Functions | Aggregate Functions]]
* [[SQL Server/T-SQL Tutorial/Analytical Functions | Analytical Functions]]
* [[SQL Server/T-SQL Tutorial/CLR | CLR]]
* [[SQL Server/T-SQL Tutorial/Constraints | Constraints]]
* [[SQL Server/T-SQL Tutorial/Cursor | Cursor]]
* [[SQL Server/T-SQL Tutorial/Data Convert Functions | Data Convert Functions]]
* [[SQL Server/T-SQL Tutorial/Data Types | Data Types]]
* [[SQL Server/T-SQL Tutorial/Database | Database]]
|
* [[SQL Server/T-SQL Tutorial/Date Functions | Date Functions]]
* [[SQL Server/T-SQL Tutorial/Index | Index]]
* [[SQL Server/T-SQL Tutorial/Insert Delete Update | Insert Delete Update]]
* [[SQL Server/T-SQL Tutorial/Math Functions | Math Functions]]
* [[SQL Server/T-SQL Tutorial/Procedure Function | Procedure Function]]
* [[SQL Server/T-SQL Tutorial/Query | Query]]
* [[SQL Server/T-SQL Tutorial/Sequence Indentity | Sequence Indentity]]
* [[SQL Server/T-SQL Tutorial/Set Operations | Set Operations]]
|
* [[SQL Server/T-SQL Tutorial/String Functions | String Functions]]
* [[SQL Server/T-SQL Tutorial/Subquery | Subquery]]
* [[SQL Server/T-SQL Tutorial/System Functions | System Functions]]
* [[SQL Server/T-SQL Tutorial/System Settings | System Settings]]
* [[SQL Server/T-SQL Tutorial/System Tables Views | System Tables Views]]
* [[SQL Server/T-SQL Tutorial/Table | Table]]
* [[SQL Server/T-SQL Tutorial/Table Join | Table Join]]
* [[SQL Server/T-SQL Tutorial/Transact SQL | Transact SQL]]
|
* [[SQL Server/T-SQL Tutorial/Transaction | Transaction]]
* [[SQL Server/T-SQL Tutorial/Trigger | Trigger]]
* [[SQL Server/T-SQL Tutorial/User Role | User Role]]
* [[SQL Server/T-SQL Tutorial/View | View]]
* [[SQL Server/T-SQL Tutorial/XML | XML]]
|}

MediaWiki:Sidebar

2010-05-26T10:33:47Z

Admin:

MediaWiki:Sidebar

2010-05-26T10:33:10Z

Admin: Новая страница: «* Резделы ** SQL/MySQL ** MySQL_Tutorial | Учебник MySQL ** Oracle_PL/SQL | Oracle PL/SQL ** Oracle_PL/SQL_Tutorial | Учебник Oracle PL/SQL ** …»

Заглавная страница

2010-05-26T10:27:15Z

Admin:

<div style="text-align: center; width: 90%; padding: 0.5em; margin: auto;">
На данный момент уже '''{{NUMBEROFPAGES}}''' {{plural: {{NUMBEROFPAGES}} |страница|страниц}} и '''{{NUMBEROFFILES}}''' {{plural: {{NUMBEROFFILES}} |файл|файлов}}.
</div>

== SQL/MySQL ==
* [[SQL/MySQL/Backup Load | Backup Load]]
* [[SQL/MySQL/Command MySQL | Command MySQL]]
* [[SQL/MySQL/Cursor | Cursor]]
* [[SQL/MySQL/Data Type | Data Type]]
* [[SQL/MySQL/Database | Database]]
* [[SQL/MySQL/Date Time | Date Time]]
* [[SQL/MySQL/Flow Control | Flow Control]]
* [[SQL/MySQL/Function | Function]]
* [[SQL/MySQL/Insert Delete Update | Insert Delete Update]]
* [[SQL/MySQL/Join | Join]]
* [[SQL/MySQL/Key | Key]]
* [[SQL/MySQL/Math | Math]]
* [[SQL/MySQL/Procedure Function | Procedure Function]]
* [[SQL/MySQL/Select Clause | Select Clause]]
* [[SQL/MySQL/String | String]]
* [[SQL/MySQL/Table Index | Table Index]]
* [[SQL/MySQL/Transaction | Transaction]]
* [[SQL/MySQL/Trigger | Trigger]]
* [[SQL/MySQL/User Permission | User Permission]]
* [[SQL/MySQL/View | View]]
* [[SQL/MySQL/Where Clause | Where Clause]]

== Учебник MySQL ==
* [[MySQL Tutorial/Aggregate Functions | Aggregate Functions]]
* [[MySQL Tutorial/Cast Functions Operators | Cast Functions Operators]]
* [[MySQL Tutorial/Comparison Functions Operators | Comparison Functions Operators]]
* [[MySQL Tutorial/Control Flow Functions | Control Flow Functions]]
* [[MySQL Tutorial/Cursor | Cursor]]
* [[MySQL Tutorial/Data Dictionary | Data Dictionary]]
* [[MySQL Tutorial/Data Types | Data Types]]
* [[MySQL Tutorial/Database | Database]]
* [[MySQL Tutorial/Date Time Functions | Date Time Functions]]
* [[MySQL Tutorial/Encryption Compression Functions | Encryption Compression Functions]]
* [[MySQL Tutorial/Information Functions | Information Functions]]
* [[MySQL Tutorial/Insert Update Delete | Insert Update Delete]]
* [[MySQL Tutorial/Introduction | Introduction]]
* [[MySQL Tutorial/Logic Operator | Logic Operator]]
* [[MySQL Tutorial/Math Numeric Functions | Math Numeric Functions]]
* [[MySQL Tutorial/Miscellaneous Functions | Miscellaneous Functions]]
* [[MySQL Tutorial/MySQL Utilities | MySQL Utilities]]
* [[MySQL Tutorial/Privilege | Privilege]]
* [[MySQL Tutorial/Procedure Function | Procedure Function]]
* [[MySQL Tutorial/Regular Expressions | Regular Expressions]]
* [[MySQL Tutorial/Select Query | Select Query]]
* [[MySQL Tutorial/String Functions | String Functions]]
* [[MySQL Tutorial/Subquery | Subquery]]
* [[MySQL Tutorial/Table | Table]]
* [[MySQL Tutorial/Table Join | Table Join]]
* [[MySQL Tutorial/Trigger | Trigger]]
* [[MySQL Tutorial/View | View]]

== Oracle PL/SQL ==
* [[Oracle PL/SQL/Aggregate Functions | Aggregate Functions]]
* [[Oracle PL/SQL/Analytical Functions | Analytical Functions]]
* [[Oracle PL/SQL/Char Functions | Char Functions]]
* [[Oracle PL/SQL/Constraints | Constraints]]
* [[Oracle PL/SQL/Conversion Functions | Conversion Functions]]
* [[Oracle PL/SQL/Cursor | Cursor]]
* [[Oracle PL/SQL/Data Type | Data Type]]
* [[Oracle PL/SQL/Date Timezone | Date Timezone]]
* [[Oracle PL/SQL/Hierarchical Query | Hierarchical Query]]
* [[Oracle PL/SQL/Index | Index]]
* [[Oracle PL/SQL/Insert Delete Update | Insert Delete Update]]
* [[Oracle PL/SQL/Large Objects | Large Objects]]
* [[Oracle PL/SQL/Numeric Math Functions | Numeric Math Functions]]
* [[Oracle PL/SQL/Object Oriented Database | Object Oriented Database]]
* [[Oracle PL/SQL/PL SQL | PL SQL]]
* [[Oracle PL/SQL/Regular Expressions | Regular Expressions]]
* [[Oracle PL/SQL/Report Column Page | Report Column Page]]
* [[Oracle PL/SQL/Result Set | Result Set]]
* [[Oracle PL/SQL/SQL Plus | SQL Plus]]
* [[Oracle PL/SQL/Select Query | Select Query]]
* [[Oracle PL/SQL/Sequence | Sequence]]
* [[Oracle PL/SQL/Stored Procedure Function | Stored Procedure Function]]
* [[Oracle PL/SQL/Subquery | Subquery]]
* [[Oracle PL/SQL/System Packages | System Packages]]
* [[Oracle PL/SQL/System Tables Views | System Tables Views]]
* [[Oracle PL/SQL/Table | Table]]
* [[Oracle PL/SQL/Table Joins | Table Joins]]
* [[Oracle PL/SQL/Trigger | Trigger]]
* [[Oracle PL/SQL/User Previliege | User Previliege]]
* [[Oracle PL/SQL/View | View]]
* [[Oracle PL/SQL/XML | XML]]

== Учебник Oracle PL/SQL ==
* [[Oracle PL/SQL Tutorial/Aggregate Functions | Aggregate Functions]]
* [[Oracle PL/SQL Tutorial/Analytical Functions | Analytical Functions]]
* [[Oracle PL/SQL Tutorial/Character String Functions | Character String Functions]]
* [[Oracle PL/SQL Tutorial/Collections | Collections]]
* [[Oracle PL/SQL Tutorial/Conversion Functions | Conversion Functions]]
* [[Oracle PL/SQL Tutorial/Cursor | Cursor]]
* [[Oracle PL/SQL Tutorial/Date Timestamp Functions | Date Timestamp Functions]]
* [[Oracle PL/SQL Tutorial/Function Procedure Packages | Function Procedure Packages]]
* [[Oracle PL/SQL Tutorial/Index | Index]]
* [[Oracle PL/SQL Tutorial/Insert Update Delete | Insert Update Delete]]
* [[Oracle PL/SQL Tutorial/Introduction | Introduction]]
* [[Oracle PL/SQL Tutorial/Large Objects | Large Objects]]
* [[Oracle PL/SQL Tutorial/Linear Regression Functions | Linear Regression Functions]]
* [[Oracle PL/SQL Tutorial/Miscellaneous Functions | Miscellaneous Functions]]
* [[Oracle PL/SQL Tutorial/Numerical Math Functions | Numerical Math Functions]]
* [[Oracle PL/SQL Tutorial/Object Oriented | Object Oriented]]
* [[Oracle PL/SQL Tutorial/PL SQL Data Types | PL SQL Data Types]]
* [[Oracle PL/SQL Tutorial/PL SQL Operators | PL SQL Operators]]
* [[Oracle PL/SQL Tutorial/PL SQL Programming | PL SQL Programming]]
* [[Oracle PL/SQL Tutorial/PL SQL Statements | PL SQL Statements]]
* [[Oracle PL/SQL Tutorial/Query Select | Query Select]]
* [[Oracle PL/SQL Tutorial/Regular Expressions Functions | Regular Expressions Functions]]
* [[Oracle PL/SQL Tutorial/SQL Data Types | SQL Data Types]]
* [[Oracle PL/SQL Tutorial/SQL PLUS Session Environment | SQL PLUS Session Environment]]
* [[Oracle PL/SQL Tutorial/Sequences | Sequences]]
* [[Oracle PL/SQL Tutorial/Set | Set]]
* [[Oracle PL/SQL Tutorial/Statistical Functions | Statistical Functions]]
* [[Oracle PL/SQL Tutorial/System Packages | System Packages]]
* [[Oracle PL/SQL Tutorial/System Tables Data Dictionary | System Tables Data Dictionary]]
* [[Oracle PL/SQL Tutorial/Table | Table]]
* [[Oracle PL/SQL Tutorial/Table Joins | Table Joins]]
* [[Oracle PL/SQL Tutorial/Transaction | Transaction]]
* [[Oracle PL/SQL Tutorial/Trigger | Trigger]]
* [[Oracle PL/SQL Tutorial/User Privilege | User Privilege]]
* [[Oracle PL/SQL Tutorial/View | View]]
* [[Oracle PL/SQL Tutorial/XML | XML]]

== PostgreSQL ==
* [[PostgreSQL/Aggregate Functions | Aggregate Functions]]
* [[PostgreSQL/Analytical Functions | Analytical Functions]]
* [[PostgreSQL/Array | Array]]
* [[PostgreSQL/Constraints | Constraints]]
* [[PostgreSQL/Cursor | Cursor]]
* [[PostgreSQL/Data Type | Data Type]]
* [[PostgreSQL/Database | Database]]
* [[PostgreSQL/Date Timezone | Date Timezone]]
* [[PostgreSQL/Index | Index]]
* [[PostgreSQL/Inheritance | Inheritance]]
* [[PostgreSQL/Insert Delete Update | Insert Delete Update]]
* [[PostgreSQL/Math Functions | Math Functions]]
* [[PostgreSQL/Postgre SQL | Postgre SQL]]
* [[PostgreSQL/Select Query | Select Query]]
* [[PostgreSQL/Sequence | Sequence]]
* [[PostgreSQL/Store Procedure Function | Store Procedure Function]]
* [[PostgreSQL/String Functions | String Functions]]
* [[PostgreSQL/Subquery | Subquery]]
* [[PostgreSQL/Table | Table]]
* [[PostgreSQL/Table Joins | Table Joins]]
* [[PostgreSQL/Transaction | Transaction]]
* [[PostgreSQL/User Previliege | User Previliege]]
* [[PostgreSQL/View | View]]

== SQL Server/T-SQL ==
* [[SQL Server/T-SQL/Aggregate Functions | Aggregate Functions]]
* [[SQL Server/T-SQL/Analytical Functions | Analytical Functions]]
* [[SQL Server/T-SQL/Constraints | Constraints]]
* [[SQL Server/T-SQL/Cursor | Cursor]]
* [[SQL Server/T-SQL/Data Set | Data Set]]
* [[SQL Server/T-SQL/Data Type | Data Type]]
* [[SQL Server/T-SQL/Database | Database]]
* [[SQL Server/T-SQL/Date Timezone | Date Timezone]]
* [[SQL Server/T-SQL/Index | Index]]
* [[SQL Server/T-SQL/Insert Delete Update | Insert Delete Update]]
* [[SQL Server/T-SQL/Math Functions | Math Functions]]
* [[SQL Server/T-SQL/Select Query | Select Query]]
* [[SQL Server/T-SQL/Sequence | Sequence]]
* [[SQL Server/T-SQL/Store Procedure Function | Store Procedure Function]]
* [[SQL Server/T-SQL/String Functions | String Functions]]
* [[SQL Server/T-SQL/Subquery | Subquery]]
* [[SQL Server/T-SQL/System | System]]
* [[SQL Server/T-SQL/Table | Table]]
* [[SQL Server/T-SQL/Table Joins | Table Joins]]
* [[SQL Server/T-SQL/Transact SQL | Transact SQL]]
* [[SQL Server/T-SQL/Transaction | Transaction]]
* [[SQL Server/T-SQL/Trigger | Trigger]]
* [[SQL Server/T-SQL/View | View]]
* [[SQL Server/T-SQL/XML | XML]]

== Учебник SQL Server/T-SQL ==
* [[SQL Server/T-SQL Tutorial/Aggregate Functions | Aggregate Functions]]
* [[SQL Server/T-SQL Tutorial/Analytical Functions | Analytical Functions]]
* [[SQL Server/T-SQL Tutorial/CLR | CLR]]
* [[SQL Server/T-SQL Tutorial/Constraints | Constraints]]
* [[SQL Server/T-SQL Tutorial/Cursor | Cursor]]
* [[SQL Server/T-SQL Tutorial/Data Convert Functions | Data Convert Functions]]
* [[SQL Server/T-SQL Tutorial/Data Types | Data Types]]
* [[SQL Server/T-SQL Tutorial/Database | Database]]
* [[SQL Server/T-SQL Tutorial/Date Functions | Date Functions]]
* [[SQL Server/T-SQL Tutorial/Index | Index]]
* [[SQL Server/T-SQL Tutorial/Insert Delete Update | Insert Delete Update]]
* [[SQL Server/T-SQL Tutorial/Math Functions | Math Functions]]
* [[SQL Server/T-SQL Tutorial/Procedure Function | Procedure Function]]
* [[SQL Server/T-SQL Tutorial/Query | Query]]
* [[SQL Server/T-SQL Tutorial/Sequence Indentity | Sequence Indentity]]
* [[SQL Server/T-SQL Tutorial/Set Operations | Set Operations]]
* [[SQL Server/T-SQL Tutorial/String Functions | String Functions]]
* [[SQL Server/T-SQL Tutorial/Subquery | Subquery]]
* [[SQL Server/T-SQL Tutorial/System Functions | System Functions]]
* [[SQL Server/T-SQL Tutorial/System Settings | System Settings]]
* [[SQL Server/T-SQL Tutorial/System Tables Views | System Tables Views]]
* [[SQL Server/T-SQL Tutorial/Table | Table]]
* [[SQL Server/T-SQL Tutorial/Table Join | Table Join]]
* [[SQL Server/T-SQL Tutorial/Transact SQL | Transact SQL]]
* [[SQL Server/T-SQL Tutorial/Transaction | Transaction]]
* [[SQL Server/T-SQL Tutorial/Trigger | Trigger]]
* [[SQL Server/T-SQL Tutorial/User Role | User Role]]
* [[SQL Server/T-SQL Tutorial/View | View]]
* [[SQL Server/T-SQL Tutorial/XML | XML]]

SQL Server/T-SQL Tutorial/Subquery/Inline view

2010-05-26T10:25:43Z

Admin: 1 версия

== A query that required a derived table.==



<source lang="sql">
6> CREATE TABLE MyTempTable
7> (
8> ThisCol varchar(10)
9> )
10> GO
1>
2> CREATE TABLE sales(
3> stor_id char(4) NOT NULL,
4> ord_num varchar(20) NOT NULL,
5> ord_date datetime NOT NULL,
6> qty smallint NOT NULL,
7> payterms varchar(12) NOT NULL,
8> title_id varchar(80)
9> )
10> GO
1> insert sales values("1", "QA7442.3", "09/13/94", 75, "ON Billing","1")
2> insert sales values("2", "D4482", "09/14/94", 10, "Net 60", "1")
3> insert sales values("3", "N914008", "09/14/94", 20, "Net 30", "2")
4> insert sales values("4", "N914014", "09/14/94", 25, "Net 30", "3")
5> insert sales values("5", "423LL922", "09/14/94", 15, "ON Billing","3")
6> insert sales values("6", "423LL930", "09/14/94", 10, "ON Billing","2")
7> GO
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
1>
2>
3> INSERT MyTempTable
4> SELECT Col1
5> FROM (SELECT DISTINCT Col1 = CONVERT(varchar(10), qty),
6> Col2 = qty
7> FROM sales) xyz
8> ORDER BY Col2
9> GO
(5 rows affected)
1>
2>
3>
4> SELECT * FROM MyTempTable
5> GO
ThisCol
----------
10
15
20
25
75
(5 rows affected)
1>
2> drop table sales
3> DROP TABLE MyTempTable
4> GO
1></source>

== A query that uses a correlated subquery in its SELECT clause to retrieve the most recent Billing for each Banker==



<source lang="sql">
4>
5>
6> create table Billings (
7> BankerID INTEGER,
8> BillingNumber INTEGER,
9> BillingDate datetime,
10> BillingTotal INTEGER,
11> TermsID INTEGER,
12> BillingDueDate datetime ,
13> PaymentTotal INTEGER,
14> CreditTotal INTEGER
15>
16> );
17> GO
1>
2> INSERT INTO Billings VALUES (1, 1, "2005-01-22", 165, 1,"2005-04-22",123,321);
3> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (2, 2, "2001-02-21", 165, 1,"2002-02-22",123,321);
2> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (3, 3, "2003-05-02", 165, 1,"2005-04-12",123,321);
2> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (4, 4, "1999-03-12", 165, 1,"2005-04-18",123,321);
2> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (5, 5, "2000-04-23", 165, 1,"2005-04-17",123,321);
2> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (6, 6, "2001-06-14", 165, 1,"2005-04-18",123,321);
2> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (7, 7, "2002-07-15", 165, 1,"2005-04-19",123,321);
2> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (8, 8, "2003-08-16", 165, 1,"2005-04-20",123,321);
2> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (9, 9, "2004-09-17", 165, 1,"2005-04-21",123,321);
2> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (0, 0, "2005-10-18", 165, 1,"2005-04-22",123,321);
2> GO
(1 rows affected)
1>
2>
3>
4> create table Bankers(
5> BankerID Integer,
6> BankerName VARCHAR(20),
7> BankerContactLName VARCHAR(20),
8> BankerContactFName VARCHAR(20),
9> BankerCity VARCHAR(20),
10> BankerState VARCHAR(20),
11> BankerZipCode VARCHAR(20),
12> BankerPhone VARCHAR(20)
13> )
14> GO
1>
2> insert into Bankers values (1, "ABC Inc.","Joe","Smith","Vancouver","BC","11111","111-111-1111");
3> GO
(1 rows affected)
1> insert into Bankers values (2, "DEF Inc.","Red","Rice", "New York", "DE","22222","222-222-2222");
2> GO
(1 rows affected)
1> insert into Bankers values (3, "HJI Inc.","Kit","Cat", "Paris", "CA","33333","333-333-3333");
2> GO
(1 rows affected)
1> insert into Bankers values (4, "QWE Inc.","Git","Black","Regina", "ER","44444","444-444-4444");
2> GO
(1 rows affected)
1> insert into Bankers values (5, "RTY Inc.","Wil","Lee", "Toronto", "YU","55555","555-555-5555");
2> GO
(1 rows affected)
1> insert into Bankers values (6, "YUI Inc.","Ted","Larry","Calgary", "TY","66666","666-666-6666");
2> GO
(1 rows affected)
1> insert into Bankers values (7, "OIP Inc.","Yam","Act", "San Franc","FG","77777","777-777-7777");
2> GO
(1 rows affected)
1> insert into Bankers values (8, "SAD Inc.","Hit","Eat", "Orland", "PO","88888","888-888-8888");
2> GO
(1 rows affected)
1> insert into Bankers values (9, "DFG Inc.","Sad","Lee", "Wisler", "PL","99999","999-999-9999");
2> GO
(1 rows affected)
1> insert into Bankers values (0, "GHJ Inc.","Bit","Lee", "Ticker", "MN","00000","000-000-0000");
2> GO
(1 rows affected)
1>
2>
3> SELECT DISTINCT BankerName,
4> (SELECT MAX(BillingDate) FROM Billings
5> WHERE Billings.BankerID = Bankers.BankerID) AS LatestInv
6> FROM Bankers
7> ORDER BY LatestInv DESC
8>
9>
10> drop table Billings;
11> drop table Bankers;
12> GO
BankerName LatestInv
-------------------- -----------------------
GHJ Inc. 2005-10-18 00:00:00.000
ABC Inc. 2005-01-22 00:00:00.000
DFG Inc. 2004-09-17 00:00:00.000
SAD Inc. 2003-08-16 00:00:00.000
HJI Inc. 2003-05-02 00:00:00.000
OIP Inc. 2002-07-15 00:00:00.000
YUI Inc. 2001-06-14 00:00:00.000
DEF Inc. 2001-02-21 00:00:00.000
RTY Inc. 2000-04-23 00:00:00.000
QWE Inc. 1999-03-12 00:00:00.000
(10 rows affected)</source>

== Creating a Derived Table==



<source lang="sql">
7> SELECT * FROM (SELECT "Fred" As FirstName, "Flintstone" As LastName)
8> AS CartoonCharacter
9>
FirstName LastName
--------- ----------
Fred Flintstone</source>

== Finding First Employee Using a Derived Table==



<source lang="sql">
3>
4> CREATE TABLE employee(
5> id INTEGER NOT NULL PRIMARY KEY,
6> first_name VARCHAR(10),
7> last_name VARCHAR(10),
8> salary DECIMAL(10,2),
9> start_Date DATETIME,
10> region VARCHAR(10),
11> city VARCHAR(20),
12> managerid INTEGER
13> );
14> GO
1> INSERT INTO employee VALUES (1, "Jason" , "Martin", 5890,"2005-03-22","North","Vancouver",3);
2> GO
(1 rows affected)
1> INSERT INTO employee VALUES (2, "Alison", "Mathews",4789,"2003-07-21","South","Utown",4);
2> GO
(1 rows affected)
1> INSERT INTO employee VALUES (3, "James" , "Smith", 6678,"2001-12-01","North","Paris",5);
2> GO
(1 rows affected)
1> INSERT INTO employee VALUES (4, "Celia" , "Rice", 5567,"2006-03-03","South","London",6);
2> GO
(1 rows affected)
1> INSERT INTO employee VALUES (5, "Robert", "Black", 4467,"2004-07-02","East","Newton",7);
2> GO
(1 rows affected)
1> INSERT INTO employee VALUES (6, "Linda" , "Green" , 6456,"2002-05-19","East","Calgary",8);
2> GO
(1 rows affected)
1> INSERT INTO employee VALUES (7, "David" , "Larry", 5345,"2008-03-18","West","New York",9);
2> GO
(1 rows affected)
1> INSERT INTO employee VALUES (8, "James" , "Cat", 4234,"2007-07-17","West","Regina",9);
2> GO
(1 rows affected)
1> INSERT INTO employee VALUES (9, "Joan" , "Act", 6123,"2001-04-16","North","Toronto",10);
2> GO
(1 rows affected)
1>
2> select * from employee;
3> GO
id first_name last_name salary start_Date region city managerid
----------- ---------- ---------- ------------ ----------------------- ---------- -------------------- -----------
1 Jason Martin 5890.00 2005-03-22 00:00:00.000 North Vancouver 3
2 Alison Mathews 4789.00 2003-07-21 00:00:00.000 South Utown 4
3 James Smith 6678.00 2001-12-01 00:00:00.000 North Paris 5
4 Celia Rice 5567.00 2006-03-03 00:00:00.000 South London 6
5 Robert Black 4467.00 2004-07-02 00:00:00.000 East Newton 7
6 Linda Green 6456.00 2002-05-19 00:00:00.000 East Calgary 8
7 David Larry 5345.00 2008-03-18 00:00:00.000 West New York 9
8 James Cat 4234.00 2007-07-17 00:00:00.000 West Regina 9
9 Joan Act 6123.00 2001-04-16 00:00:00.000 North Toronto 10
(9 rows affected)
1>
2>
3>
4>
5> SELECT
6> O.*
7> FROM
8> Employee AS O
9> JOIN
10> (
11> SELECT
12> MIN (ID) AS ID
13> FROM
14> Employee
15> GROUP BY
16> ID
17> ) AS X ON X.ID = O.ID
18>
19>
20>
21> drop table employee;
22> GO
id first_name last_name salary start_Date region city managerid
----------- ---------- ---------- ------------ ----------------------- ---------- -------------------- -----------
1 Jason Martin 5890.00 2005-03-22 00:00:00.000 North Vancouver 3
2 Alison Mathews 4789.00 2003-07-21 00:00:00.000 South Utown 4
3 James Smith 6678.00 2001-12-01 00:00:00.000 North Paris 5
4 Celia Rice 5567.00 2006-03-03 00:00:00.000 South London 6
5 Robert Black 4467.00 2004-07-02 00:00:00.000 East Newton 7
6 Linda Green 6456.00 2002-05-19 00:00:00.000 East Calgary 8
7 David Larry 5345.00 2008-03-18 00:00:00.000 West New York 9
8 James Cat 4234.00 2007-07-17 00:00:00.000 West Regina 9
9 Joan Act 6123.00 2001-04-16 00:00:00.000 North Toronto 10
(9 rows affected)
1></source>

== In-Line Views (Derived Tables)==



<source lang="sql">
4>
5>
6> CREATE TABLE titles(
7> title_id varchar(20),
8> title varchar(80) NOT NULL,
9> type char(12) NOT NULL,
10> pub_id char(4) NULL,
11> price money NULL,
12> advance money NULL,
13> royalty int NULL,
14> ytd_sales int NULL,
15> notes varchar(200) NULL,
16> pubdate datetime NOT NULL
17> )
18> GO
1>
2> insert titles values ("1", "Secrets", "popular_comp", "1389", $20.00, $8000.00, 10, 4095,"Note 1","06/12/94")
3> insert titles values ("2", "The", "business", "1389", $19.99, $5000.00, 10, 4095,"Note 2","06/12/91")
4> insert titles values ("3", "Emotional", "psychology", "0736", $7.99, $4000.00, 10, 3336,"Note 3","06/12/91")
5> insert titles values ("4", "Prolonged", "psychology", "0736", $19.99, $2000.00, 10, 4072,"Note 4","06/12/91")
6> insert titles values ("5", "With", "business", "1389", $11.95, $5000.00, 10, 3876,"Note 5","06/09/91")
7> insert titles values ("6", "Valley", "mod_cook", "0877", $19.99, $0.00, 12, 2032,"Note 6","06/09/91")
8> insert titles values ("7", "Any?", "trad_cook", "0877", $14.99, $8000.00, 10, 4095,"Note 7","06/12/91")
9> insert titles values ("8", "Fifty", "trad_cook", "0877", $11.95, $4000.00, 14, 1509,"Note 8","06/12/91")
10> GO
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
1>
2> CREATE TABLE authors(
3> au_id varchar(11),
4> au_lname varchar(40) NOT NULL,
5> au_fname varchar(20) NOT NULL,
6> phone char(12) NOT NULL DEFAULT ("UNKNOWN"),
7> address varchar(40) NULL,
8> city varchar(20) NULL,
9> state char(2) NULL,
10> zip char(5) NULL,
11> contract bit NOT NULL
12> )
13> GO
1> insert authors values("1", "Joe", "Abra", "111 111-1111", "6 St.", "Berkeley", "CA", "11111", 1)
2> insert authors values("2", "Jack", "Majo", "222 222-2222", "3 St.", "Oakland" , "CA", "22222", 1)
3> insert authors values("3", "Pink", "Cherry", "333 333-3333", "5 Ln.", "Vancouver", "BC", "33333", 1)
4> insert authors values("4", "Blue", "Albert", "444 444-4444", "7 Av.", "Vancouver", "BC", "44444", 1)
5> insert authors values("5", "Red", "Anne", "555 555-5555", "6 Av.", "Regina", "SK", "55555", 1)
6> insert authors values("6", "Black", "Michel", "666 666-6666", "3 Pl.", "Regina", "SK", "66666", 1)
7> insert authors values("7", "White", "Sylvia", "777 777-7777", "1 Pl.", "Rockville", "MD", "77777", 1)
8> insert authors values("8", "Yellow","Heather","888 888-8888", "3 Pu", "Vacaville", "CA", "88888", 0)
9> insert authors values("9", "Gold", "Dep", "999 999-9999", "5 Av.", "Oakland", "CA", "99999", 0)
10> insert authors values("10", "Siler", "Dean", "000 000-0000", "4 Av.", "Oakland", "CA", "00000", 1)
11> GO
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
1>
2> CREATE TABLE titleauthor(
3> au_id varchar(20),
4> title_id varchar(20),
5> au_ord tinyint NULL,
6> royaltyper int NULL
7> )
8> GO
1>
2> insert titleauthor values("1", "2", 1, 60)
3> insert titleauthor values("2", "3", 1, 100)
4> insert titleauthor values("3", "4", 1, 100)
5> insert titleauthor values("4", "5", 1, 100)
6> insert titleauthor values("5", "6", 1, 100)
7> insert titleauthor values("6", "7", 2, 40)
8> insert titleauthor values("7", "8", 1, 100)
9> insert titleauthor values("8", "9", 1, 100)
10> GO
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
1>
2> SELECT a.au_lname, tt.title
3> FROM authors a JOIN
4> (SELECT title, au_id FROM titleauthor ta
5> JOIN titles t ON t.title_id = ta.title_id) tt
6> ON a.au_id = tt.au_id
7> GO
au_lname title
---------------------------------------- --------------------------------------------------------------------------------
Joe The
Jack Emotional
Pink Prolonged
Blue With
Red Valley
Black Any?
White Fifty
(7 rows affected)
1>
2>
3> drop table titleauthor;
4> drop table authors;
5> drop table titles;
6> GO
1></source>

== Join with (inline)Table Expressions==



<source lang="sql">
5> CREATE TABLE Orders (
6> OrderID int IDENTITY (1, 1) NOT NULL ,
7> CustomerID nchar (5) NULL ,
8> EmployeeID int NULL ,
9> OrderDate datetime NULL ,
10> RequiredDate datetime NULL ,
11> ShippedDate datetime NULL ,
12> ShipVia int NULL ,
13> Freight money NULL DEFAULT (0),
14> ShipName nvarchar (40) NULL ,
15> ShipAddress nvarchar (60) NULL ,
16> ShipCity nvarchar (15) NULL ,
17> ShipRegion nvarchar (15) NULL ,
18> ShipPostalCode nvarchar (10) NULL ,
19> ShipCountry nvarchar (15) NULL
20> )
21> GO
1>
2>
3>
4> SELECT O.OrderID, O.EmployeeID, O.CustomerID, O.OrderDate
5> FROM dbo.Orders AS O
6> JOIN (SELECT EmployeeID, MAX(OrderID) AS MaxOid
7> FROM dbo.Orders
8> GROUP BY EmployeeID) AS D
9> ON O.OrderID = D.MaxOid;
10> GO
OrderID EmployeeID CustomerID OrderDate
----------- ----------- ---------- -----------------------
(0 rows affected)
1>
2> drop table Orders;
3> GO
1></source>

== Queries in the FROM Clause==



<source lang="sql">
3>
4>
5> CREATE TABLE employee(
6> id INTEGER NOT NULL PRIMARY KEY,
7> first_name VARCHAR(10),
8> last_name VARCHAR(10),
9> salary DECIMAL(10,2),
10> start_Date DATETIME,
11> region VARCHAR(10),
12> city VARCHAR(20),
13> managerid INTEGER
14> );
15> GO
1> INSERT INTO employee VALUES (1, "Jason" , "Martin", 5890,"2005-03-22","North","Vancouver",3);
2> GO
(1 rows affected)
1> INSERT INTO employee VALUES (2, "Alison", "Mathews",4789,"2003-07-21","South","Utown",4);
2> GO
(1 rows affected)
1> INSERT INTO employee VALUES (3, "James" , "Smith", 6678,"2001-12-01","North","Paris",5);
2> GO
(1 rows affected)
1> INSERT INTO employee VALUES (4, "Celia" , "Rice", 5567,"2006-03-03","South","London",6);
2> GO
(1 rows affected)
1> INSERT INTO employee VALUES (5, "Robert", "Black", 4467,"2004-07-02","East","Newton",7);
2> GO
(1 rows affected)
1> INSERT INTO employee VALUES (6, "Linda" , "Green" , 6456,"2002-05-19","East","Calgary",8);
2> GO
(1 rows affected)
1> INSERT INTO employee VALUES (7, "David" , "Larry", 5345,"2008-03-18","West","New York",9);
2> GO
(1 rows affected)
1> INSERT INTO employee VALUES (8, "James" , "Cat", 4234,"2007-07-17","West","Regina",9);
2> GO
(1 rows affected)
1> INSERT INTO employee VALUES (9, "Joan" , "Act", 6123,"2001-04-16","North","Toronto",10);
2> GO
(1 rows affected)
1>
2> select * from employee;
3> GO
id first_name last_name salary start_Date region city managerid
----------- ---------- ---------- ------------ ----------------------- ---------- -------------------- -----------
1 Jason Martin 5890.00 2005-03-22 00:00:00.000 North Vancouver 3
2 Alison Mathews 4789.00 2003-07-21 00:00:00.000 South Utown 4
3 James Smith 6678.00 2001-12-01 00:00:00.000 North Paris 5
4 Celia Rice 5567.00 2006-03-03 00:00:00.000 South London 6
5 Robert Black 4467.00 2004-07-02 00:00:00.000 East Newton 7
6 Linda Green 6456.00 2002-05-19 00:00:00.000 East Calgary 8
7 David Larry 5345.00 2008-03-18 00:00:00.000 West New York 9
8 James Cat 4234.00 2007-07-17 00:00:00.000 West Regina 9
9 Joan Act 6123.00 2001-04-16 00:00:00.000 North Toronto 10
(9 rows affected)
1>
2>
3> SELECT first_name
4> FROM (SELECT *
5> FROM employee
6> WHERE id >= 2) AS empno_10000
7> GO
first_name
----------
Alison
James
Celia
Robert
Linda
David
James
Joan
(8 rows affected)
1>
2>
3> drop table employee;
4> GO
1>
2></source>

== Select from nested select statements==



<source lang="sql">
3> CREATE TABLE titles(
4> title_id varchar(20),
5> title varchar(80) NOT NULL,
6> type char(12) NOT NULL,
7> pub_id char(4) NULL,
8> price money NULL,
9> advance money NULL,
10> royalty int NULL,
11> ytd_sales int NULL,
12> notes varchar(200) NULL,
13> pubdate datetime NOT NULL
14> )
15> GO
1>
2> insert titles values ("1", "Secrets", "popular_comp", "1389", $20.00, $8000.00, 10, 4095,"Note 1","06/12/94")
3> insert titles values ("2", "The", "business", "1389", $19.99, $5000.00, 10, 4095,"Note 2","06/12/91")
4> insert titles values ("3", "Emotional", "psychology", "0736", $7.99, $4000.00, 10, 3336,"Note 3","06/12/91")
5> insert titles values ("4", "Prolonged", "psychology", "0736", $19.99, $2000.00, 10, 4072,"Note 4","06/12/91")
6> insert titles values ("5", "With", "business", "1389", $11.95, $5000.00, 10, 3876,"Note 5","06/09/91")
7> insert titles values ("6", "Valley", "mod_cook", "0877", $19.99, $0.00, 12, 2032,"Note 6","06/09/91")
8> insert titles values ("7", "Any?", "trad_cook", "0877", $14.99, $8000.00, 10, 4095,"Note 7","06/12/91")
9> insert titles values ("8", "Fifty", "trad_cook", "0877", $11.95, $4000.00, 14, 1509,"Note 8","06/12/91")
10> GO
1>
2>
3>
4> SELECT rank, title_id, ytd_sales, title
5> FROM (SELECT
6> T1.title_id,
7> ytd_sales,
8> T1.title,
9> (SELECT COUNT(DISTINCT T2.ytd_sales) FROM titles AS T2
10> WHERE T1.ytd_sales <= T2.ytd_sales) AS rank
11> FROM titles AS T1) AS X
12> WHERE (ytd_sales IS NOT NULL) AND (rank <= 10)
13> ORDER BY rank
14> GO
rank title_id ytd_sales title
----------- -------------------- ----------- --------------------------------------------------------------------------------
1 1 4095 Secrets
1 2 4095 The
1 7 4095 Any?
2 4 4072 Prolonged
3 5 3876 With
4 3 3336 Emotional
5 6 2032 Valley
6 8 1509 Fifty
1>
2>
3> drop table titles;
4> GO</source>

== SELECT <list> FROM (query that returns a regular result set) AS <alias name> JOIN <some other base or derived table>==



<source lang="sql">
7>
8>
9>
10> CREATE TABLE Customers (
11> CustomerID nchar (5) NOT NULL ,
12> CompanyName nvarchar (40) NOT NULL ,
13> ContactName nvarchar (30) NULL ,
14> ContactTitle nvarchar (30) NULL ,
15> Address nvarchar (60) NULL ,
16> City nvarchar (15) NULL ,
17> Region nvarchar (15) NULL ,
18> PostalCode nvarchar (10) NULL ,
19> Country nvarchar (15) NULL ,
20> Phone nvarchar (24) NULL ,
21> Fax nvarchar (24) NULL
22> )
23> GO
1>
2> INSERT Customers VALUES("1","A","Maria", "Sales", "Str. 57", "Berlin" ,NULL,"12209", "Germany","111-1111111","111-1111111")
3> INSERT Customers VALUES("2","M","Joe", "Owner", "Ave. 231","Vancouver" ,NULL,"05023", "Mexico", "(222) 222-3332",NULL)
4> INSERT Customers VALUES("3","H","Thomas", "Sales", "Sq. 111","London" ,NULL,"1D00P", "UK", "(444) 444-4444","(444) 444-4444")
5> INSERT Customers VALUES("4","B","Berg", "Order", "Blv 8","Toronto" ,NULL,"00222", "Sweden", "4444-55 55 65","5555-55 55 55")
6> INSERT Customers VALUES("5","S","Moos", "Sales", "Fort 57","New York" ,NULL,"68306", "Germany","6666-66666","6666-77777")
7> INSERT Customers VALUES("6","F","Cite", "Manager","24 ","Dalles" ,NULL,"67000", "France", "88.60.15.31","88.60.15.32")
8> INSERT Customers VALUES("7","C","Sommer", "Owner", "Araq, 67","Paris" ,NULL,"28023", "Spain", "(91) 555 22 82","(91) 555 91 99")
9> INSERT Customers VALUES("8","P","Leb", "Owner", "12 ","Beijing" ,NULL,"13008", "France", "91.24.45.40","91.24.45.41")
10> INSERT Customers VALUES("9","D","Elizabeth","Manager","23 Blvd.","Tsawassen","BC", "T2F8M4","Canada", "(604) 555-4729","(604) 555-3745")
11> go
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
1> CREATE TABLE Orders (
2> OrderID int NOT NULL ,
3> CustomerID nchar (5) NULL ,
4> EmployeeID int NULL ,
5> OrderDate datetime NULL ,
6> RequiredDate datetime NULL ,
7> ShippedDate datetime NULL ,
8> ShipVia int NULL ,
9> Freight money NULL DEFAULT (0),
10> ShipName nvarchar (40) NULL ,
11> ShipAddress nvarchar (60) NULL ,
12> ShipCity nvarchar (15) NULL ,
13> ShipRegion nvarchar (15) NULL ,
14> ShipPostalCode nvarchar (10) NULL ,
15> ShipCountry nvarchar (15) NULL
16> )
17> GO
1>
2>
3> CREATE TABLE Products (
4> ProductID int NOT NULL ,
5> ProductName nvarchar (40) NOT NULL ,
6> SupplierID int NULL ,
7> CategoryID int NULL ,
8> QuantityPerUnit nvarchar (20) NULL ,
9> UnitPrice money NULL,
10> UnitsInStock smallint NULL,
11> UnitsOnOrder smallint NULL,
12> ReorderLevel smallint NULL,
13> Discontinued bit NOT NULL
14> )
15> GO
1> INSERT Products VALUES(1,"F",15,4,"10 - 999 g pkgs.",61.5,66,6,6,6)
2> INSERT Products VALUES(2,"M",14,4,"24 - 888 g pkgs.",34.8,74,7,7,7)
3> INSERT Products VALUES(3,"R",17,8,"24 - 777 g jars",17,171,0,5,0)
4> INSERT Products VALUES(4,"L",4,7,"5 kg pkg.",10,4,20,5,0)
5> INSERT Products VALUES(5,"R",12,1,"24 - 0.5 l bottles",1.23,445,0,25,0)
6> INSERT Products VALUES(6,"L",23,1,"500 ml",18,57,1,20,0)
7> INSERT Products VALUES(7,"O",12,2,"12 boxes",13,23,0,15,0)
8> go
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
1>
2>
3> CREATE TABLE OrderDetails (
4> OrderID int NOT NULL ,
5> ProductID int NOT NULL ,
6> UnitPrice money NOT NULL DEFAULT (0),
7> Quantity smallint NOT NULL DEFAULT (1),
8> Discount real NOT NULL DEFAULT (0)
9> )
10> GO
1> INSERT OrderDetails VALUES(10248,11,14,12,0)
2> INSERT OrderDetails VALUES(10248,42,9.8,10,0)
3> INSERT OrderDetails VALUES(10248,72,34.8,5,0)
4> INSERT OrderDetails VALUES(10249,14,18.6,9,0)
5> INSERT OrderDetails VALUES(10249,51,42.4,40,0)
6> INSERT OrderDetails VALUES(10250,41,7.7,10,0)
7> INSERT OrderDetails VALUES(10250,51,42.4,35,0.15)
8> INSERT OrderDetails VALUES(10250,65,16.8,15,0.15)
9> INSERT OrderDetails VALUES(10251,22,16.8,6,0.05)
10> INSERT OrderDetails VALUES(10251,57,15.6,15,0.05)
11> go
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
1>
2>
3> SELECT DISTINCT c.rupanyName
4> FROM Customers AS c
5> JOIN
6> (SELECT CustomerID
7> FROM Orders o
8> JOIN OrderDetails od
9> ON o.OrderID = od.OrderID
10> JOIN Products p
11> ON od.ProductID = p.ProductID
12> WHERE p.ProductName = "Chocolade") AS spen
13> ON c.CustomerID = spen.CustomerID
14> JOIN
15> (SELECT CustomerID
16> FROM Orders o
17> JOIN OrderDetails od
18> ON o.OrderID = od.OrderID
19> JOIN Products p
20> ON od.ProductID = p.ProductID
21> WHERE ProductName = "Vegie-spread") AS spap
22> ON c.CustomerID = spap.CustomerID
23> GO
CompanyName
----------------------------------------
(0 rows affected)
1>
2> drop table Products;
3> drop table OrderDetails;
4> drop table Orders;
5> drop table Customers;
6> GO</source>

== Subqueries and Derived Tables==



<source lang="sql">
Understanding Subqueries
Subqueries are the means by which you can do two or more SELECTs at the same time but return only one result set
Nested scalar subqueries are those subqueries that return a single row and column in their result set.
8>
9> CREATE TABLE employee(
10> id INTEGER NOT NULL PRIMARY KEY,
11> first_name VARCHAR(10),
12> last_name VARCHAR(10),
13> salary DECIMAL(10,2),
14> start_Date DATETIME,
15> region VARCHAR(10),
16> city VARCHAR(20)
17> );
18> GO
1> INSERT INTO employee VALUES (1, "Jason" , "Martin", 5890,"2005-03-22","North","Vancouver");
2> INSERT INTO employee VALUES (2, "Alison", "Mathews",4789,"2003-07-21","South","Utown");
3> INSERT INTO employee VALUES (3, "James" , "Smith", 6678,"2001-12-01","North","Paris");
4> INSERT INTO employee VALUES (4, "Celia" , "Rice", 5567,"2006-03-03","South","London");
5> INSERT INTO employee VALUES (5, "Robert", "Black", 4467,"2004-07-02","East","Newton");
6> INSERT INTO employee VALUES (6, "Linda" , "Green" , 6456,"2002-05-19","East","Calgary");
7> INSERT INTO employee VALUES (7, "David" , "Larry", 5345,"2008-03-18","West","New York");
8> INSERT INTO employee VALUES (8, "James" , "Cat", 4234,"2007-07-17","West","Regina");
9> INSERT INTO employee VALUES (9, "Joan" , "Act", 6123,"2001-04-16","North","Toronto");
10> GO
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
1> select * from employee;
2> GO
id first_name last_name salary start_Date region city
----------- ---------- ---------- ------------ ----------------------- ---------- --------------------
1 Jason Martin 5890.00 2005-03-22 00:00:00.000 North Vancouver
2 Alison Mathews 4789.00 2003-07-21 00:00:00.000 South Utown
3 James Smith 6678.00 2001-12-01 00:00:00.000 North Paris
4 Celia Rice 5567.00 2006-03-03 00:00:00.000 South London
5 Robert Black 4467.00 2004-07-02 00:00:00.000 East Newton
6 Linda Green 6456.00 2002-05-19 00:00:00.000 East Calgary
7 David Larry 5345.00 2008-03-18 00:00:00.000 West New York
8 James Cat 4234.00 2007-07-17 00:00:00.000 West Regina
9 Joan Act 6123.00 2001-04-16 00:00:00.000 North Toronto
(9 rows affected)
1>
2> CREATE TABLE title(
3> id INTEGER,
4> job_title VARCHAR(20)
5> );
6> GO
1> INSERT INTO title VALUES (1, "developer");
2> INSERT INTO title VALUES (1, "manager");
3> INSERT INTO title VALUES (2, "tester");
4> INSERT INTO title VALUES (2, "programmer");
5> INSERT INTO title VALUES (3, "boss");
6> INSERT INTO title VALUES (4, "sales");
7> INSERT INTO title VALUES (5, "market");
8> INSERT INTO title VALUES (6, "coder");
9> INSERT INTO title VALUES (7, "tester");
10> INSERT INTO title VALUES (8, "developer");
11> INSERT INTO title VALUES (9, "manager");
12> GO
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
1>
2>
3> --Finding the Date of the Last Order
4> SELECT MAX (Start_Date) FROM Employee
5> --Finding the Most-Recent Employee
6>
7> SELECT * FROM Employee WHERE Start_Date =(SELECT MAX (Start_Date) FROM Employee)
8>
9>
10>
11> drop table employee;
12> drop table title;
13> GO
-----------------------
2008-03-18 00:00:00.000
(1 rows affected)
id first_name last_name salary start_Date region city
----------- ---------- ---------- ------------ ----------------------- ---------- --------------------
7 David Larry 5345.00 2008-03-18 00:00:00.000 West New York
(1 rows affected)
1></source>

SQL Server/T-SQL Tutorial/Subquery

2010-05-26T10:25:43Z

Admin: 1 версия

* [[SQL Server/T-SQL Tutorial/Subquery/Correlated subquery | Correlated subquery]]
* [[SQL Server/T-SQL Tutorial/Subquery/Inline view | Inline view]]
* [[SQL Server/T-SQL Tutorial/Subquery/Subquery | Subquery]]

SQL Server/T-SQL Tutorial

2010-05-26T10:25:43Z

Admin: 1 версия

* [[SQL Server/T-SQL Tutorial/Aggregate Functions | Aggregate Functions]]
* [[SQL Server/T-SQL Tutorial/Analytical Functions | Analytical Functions]]
* [[SQL Server/T-SQL Tutorial/CLR | CLR]]
* [[SQL Server/T-SQL Tutorial/Constraints | Constraints]]
* [[SQL Server/T-SQL Tutorial/Cursor | Cursor]]
* [[SQL Server/T-SQL Tutorial/Data Convert Functions | Data Convert Functions]]
* [[SQL Server/T-SQL Tutorial/Data Types | Data Types]]
* [[SQL Server/T-SQL Tutorial/Database | Database]]
* [[SQL Server/T-SQL Tutorial/Date Functions | Date Functions]]
* [[SQL Server/T-SQL Tutorial/Index | Index]]
* [[SQL Server/T-SQL Tutorial/Insert Delete Update | Insert Delete Update]]
* [[SQL Server/T-SQL Tutorial/Math Functions | Math Functions]]
* [[SQL Server/T-SQL Tutorial/Procedure Function | Procedure Function]]
* [[SQL Server/T-SQL Tutorial/Query | Query]]
* [[SQL Server/T-SQL Tutorial/Sequence Indentity | Sequence Indentity]]
* [[SQL Server/T-SQL Tutorial/Set Operations | Set Operations]]
* [[SQL Server/T-SQL Tutorial/String Functions | String Functions]]
* [[SQL Server/T-SQL Tutorial/Subquery | Subquery]]
* [[SQL Server/T-SQL Tutorial/System Functions | System Functions]]
* [[SQL Server/T-SQL Tutorial/System Settings | System Settings]]
* [[SQL Server/T-SQL Tutorial/System Tables Views | System Tables Views]]
* [[SQL Server/T-SQL Tutorial/Table | Table]]
* [[SQL Server/T-SQL Tutorial/Table Join | Table Join]]
* [[SQL Server/T-SQL Tutorial/Transact SQL | Transact SQL]]
* [[SQL Server/T-SQL Tutorial/Transaction | Transaction]]
* [[SQL Server/T-SQL Tutorial/Trigger | Trigger]]
* [[SQL Server/T-SQL Tutorial/User Role | User Role]]
* [[SQL Server/T-SQL Tutorial/View | View]]
* [[SQL Server/T-SQL Tutorial/XML | XML]]

SQL Server/T-SQL Tutorial/Subquery/Correlated subquery

2010-05-26T10:25:41Z

Admin: 1 версия

== A correlated subquery relies on the main query for its processing.==



<source lang="sql">
Correlated subqueries rely on a value from the main query to retrieve its rows you will always see a column from the main query being referenced by the subquery.
9>
10>
11> CREATE TABLE authors(
12> au_id varchar(11),
13> au_lname varchar(40) NOT NULL,
14> au_fname varchar(20) NOT NULL,
15> phone char(12) NOT NULL DEFAULT ("UNKNOWN"),
16> address varchar(40) NULL,
17> city varchar(20) NULL,
18> state char(2) NULL,
19> zip char(5) NULL,
20> contract bit NOT NULL
21> )
22> GO
1> insert authors values("1", "Joe", "Abra", "111 111-1111", "6 St.", "Berkeley", "CA", "11111", 1)
2> insert authors values("2", "Jack", "Majo", "222 222-2222", "3 St.", "Oakland" , "CA", "22222", 1)
3> insert authors values("3", "Pink", "Cherry", "333 333-3333", "5 Ln.", "Vancouver", "BC", "33333", 1)
4> insert authors values("4", "Blue", "Albert", "444 444-4444", "7 Av.", "Vancouver", "BC", "44444", 1)
5> insert authors values("5", "Red", "Anne", "555 555-5555", "6 Av.", "Regina", "SK", "55555", 1)
6> insert authors values("6", "Black", "Michel", "666 666-6666", "3 Pl.", "Regina", "SK", "66666", 1)
7> insert authors values("7", "White", "Sylvia", "777 777-7777", "1 Pl.", "Rockville", "MD", "77777", 1)
8> insert authors values("8", "Yellow","Heather","888 888-8888", "3 Pu", "Vacaville", "CA", "88888", 0)
9> insert authors values("9", "Gold", "Dep", "999 999-9999", "5 Av.", "Oakland", "CA", "99999", 0)
10> insert authors values("10", "Siler", "Dean", "000 000-0000", "4 Av.", "Oakland", "CA", "00000", 1)
11> GO
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
1>
2> CREATE TABLE titleauthor(
3> au_id varchar(20),
4> title_id varchar(20),
5> au_ord tinyint NULL,
6> royaltyper int NULL
7> )
8> GO
1>
2> insert titleauthor values("1", "2", 1, 60)
3> insert titleauthor values("2", "3", 1, 100)
4> insert titleauthor values("3", "4", 1, 100)
5> insert titleauthor values("4", "5", 1, 100)
6> insert titleauthor values("5", "6", 1, 100)
7> insert titleauthor values("6", "7", 2, 40)
8> insert titleauthor values("7", "8", 1, 100)
9> insert titleauthor values("8", "9", 1, 100)
10> GO
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
1>
2> SELECT DISTINCT au_lname, au_fname
3> FROM authors
4> WHERE 10 IN (SELECT royaltyper
5> FROM titleauthor
6> WHERE titleauthor.au_id = authors.au_id)
7> GO
au_lname au_fname
---------------------------------------- --------------------
(0 rows affected)
1>
2> drop table titleauthor;
3> drop table authors;
4> GO
1>
2></source>

== Correlated subquery using Group By==



<source lang="sql">
4>
5>
6> CREATE TABLE Product(
7> ProductID int NOT NULL,
8> Name nvarchar(25) NOT NULL,
9> ProductNumber nvarchar(25) ,
10> Color nvarchar(15) NULL,
11> StandardCost money NOT NULL,
12> Size nvarchar(5) NULL,
13> Weight decimal(8, 2) NULL,
14> ProductLine nchar(20) NULL,
15> SellStartDate datetime NOT NULL,
16> SellEndDate datetime NULL
17> )
18> GO
1> insert into Product values(1,"Product A", "1","Red",123.123,"1",1,"ProductLine A","1999-03-22","2000-03-22");
2> GO
(1 rows affected)
1>
2>
3> insert into Product values(2,"Product B", "2","Yellow",234.234,"1",3,"ProductLine B","2000-03-22","2001-03-22");
4> GO
(1 rows affected)
1>
2>
3> insert into Product values(3,"Product C", "3","Pink",345.345,"1",3,"ProductLine V","2001-09-22","2006-02-22");
4> GO
(1 rows affected)
1>
2>
3> insert into Product values(4,"Product D", "4","White",456.456,"1",4,"ProductLine D","2002-08-22","2006-03-22");
4> GO
(1 rows affected)
1>
2>
3> insert into Product values(5,"Product E", "5","Black",567.567,"1",5,"ProductLine E","2003-01-22","2003-04-22");
4> GO
(1 rows affected)
1>
2>
3> insert into Product values(6,"Product F", "6","Blue",678.678,"1",6,"ProductLine W","2004-02-22","2005-05-22");
4> GO
(1 rows affected)
1>
2>
3> insert into Product values(7,"Product G", "7","Drak",789.789,"1",7,"ProductLine Q","2005-03-22","2006-03-22");
4> GO
(1 rows affected)
1>
2>
3> insert into Product values(8,"Product H", "8","Gray",234.123,"1",8,"ProductLine F","2006-04-22","2006-09-22");
4> GO
(1 rows affected)
1>
2>
3> insert into Product values(9,"Product I", "9","Red",543.123,"1",9,"ProductLine R","2007-05-22","2008-03-22");
4> GO
(1 rows affected)
1>
2>
3> insert into Product values(0,"Product J", "0","Gold",765.123,"1",0,"ProductLine J","2008-06-22","2009-03-22");
4> GO
(1 rows affected)
1>
2>
3>
4>
5>
6> CREATE TABLE SalesOrderDetail(
7> SalesOrderID int NOT NULL,
8> SalesOrderDetailID int NOT NULL,
9> CarrierTrackingNumber nvarchar(25) NULL,
10> OrderQty smallint NOT NULL,
11> ProductID int NOT NULL,
12> SpecialOfferID int NOT NULL,
13> UnitPrice money NOT NULL,
14> UnitPriceDiscount money NOT NULL DEFAULT (0.0),
15> LineTotal AS ISNULL([UnitPrice] * (1.0 - [UnitPriceDiscount]) * [OrderQty], 0.0)
16> );
17> GO
1>
2> insert into SalesOrderDetail values (1,1,"1",1,1,1,$1,$1);
3> GO
(1 rows affected)
1>
2>
3> insert into SalesOrderDetail values (2,2,"2",2,2,2,$2,$2);
4> GO
(1 rows affected)
1>
2>
3> insert into SalesOrderDetail values (3,3,"3",3,3,3,$3,$3);
4> GO
(1 rows affected)
1>
2>
3> insert into SalesOrderDetail values (4,4,"4",4,4,4,$4,$4);
4> GO
(1 rows affected)
1>
2>
3> insert into SalesOrderDetail values (5,5,"5",5,5,5,$5,$5);
4> GO
(1 rows affected)
1>
2>
3> insert into SalesOrderDetail values (6,6,"6",6,6,6,$6,$6);
4> GO
(1 rows affected)
1>
2>
3> insert into SalesOrderDetail values (7,7,"7",7,7,7,$7,$7);
4> GO
(1 rows affected)
1>
2>
3> insert into SalesOrderDetail values (8,8,"8",8,8,8,$8,$8);
4> GO
(1 rows affected)
1>
2>
3> insert into SalesOrderDetail values (9,9,"9",9,9,9,$9,$9);
4> GO
(1 rows affected)
1>
2>
3>
4>
5> SELECT ProductID
6> , Name
7> FROM Product AS P
8> WHERE 1 =
9> (SELECT ProductID
10> FROM SalesOrderDetail As SD
11> WHERE P.ProductID = SD.ProductID
12> GROUP BY ProductID)
13> GO
ProductID Name
----------- -------------------------
1 Product A
(1 rows affected)
1>
2> drop table Product;
3> GO
1>
2>
3> drop table SalesOrderDetail;
4> GO</source>

== Correlated subquery using TOP 1==



<source lang="sql">
6>
7> CREATE TABLE Product(
8> ProductID int NOT NULL,
9> Name nvarchar(25) NOT NULL,
10> ProductNumber nvarchar(25) ,
11> Color nvarchar(15) NULL,
12> StandardCost money NOT NULL,
13> Size nvarchar(5) NULL,
14> Weight decimal(8, 2) NULL,
15> ProductLine nchar(20) NULL,
16> SellStartDate datetime NOT NULL,
17> SellEndDate datetime NULL
18> )
19> GO
1> insert into Product values(1,"Product A", "1","Red",123.123,"1",1,"ProductLine A","1999-03-22","2000-03-22");
2> GO
(1 rows affected)
1> insert into Product values(2,"Product B", "2","Yellow",234.234,"1",3,"ProductLine B","2000-03-22","2001-03-22");
2> GO
(1 rows affected)
1> insert into Product values(3,"Product C", "3","Pink",345.345,"1",3,"ProductLine V","2001-09-22","2006-02-22");
2> GO
(1 rows affected)
1> insert into Product values(4,"Product D", "4","White",456.456,"1",4,"ProductLine D","2002-08-22","2006-03-22");
2> GO
(1 rows affected)
1> insert into Product values(5,"Product E", "5","Black",567.567,"1",5,"ProductLine E","2003-01-22","2003-04-22");
2> GO
(1 rows affected)
1> insert into Product values(6,"Product F", "6","Blue",678.678,"1",6,"ProductLine W","2004-02-22","2005-05-22");
2> GO
(1 rows affected)
1> insert into Product values(7,"Product G", "7","Drak",789.789,"1",7,"ProductLine Q","2005-03-22","2006-03-22");
2> GO
(1 rows affected)
1> insert into Product values(8,"Product H", "8","Gray",234.123,"1",8,"ProductLine F","2006-04-22","2006-09-22");
2> GO
(1 rows affected)
1> insert into Product values(9,"Product I", "9","Red",543.123,"1",9,"ProductLine R","2007-05-22","2008-03-22");
2> GO
(1 rows affected)
1> insert into Product values(0,"Product J", "0","Gold",765.123,"1",0,"ProductLine J","2008-06-22","2009-03-22");
2> GO
(1 rows affected)
1>
2>
3>
4> CREATE TABLE SalesOrderDetail(
5> SalesOrderID int NOT NULL,
6> SalesOrderDetailID int NOT NULL,
7> CarrierTrackingNumber nvarchar(25) NULL,
8> OrderQty smallint NOT NULL,
9> ProductID int NOT NULL,
10> SpecialOfferID int NOT NULL,
11> UnitPrice money NOT NULL,
12> UnitPriceDiscount money NOT NULL DEFAULT (0.0),
13> LineTotal AS ISNULL([UnitPrice] * (1.0 - [UnitPriceDiscount]) * [OrderQty], 0.0)
14> );
15> GO
1>
2> insert into SalesOrderDetail values (1,1,"1",1,1,1,$1,$1);
3> GO
(1 rows affected)
1> insert into SalesOrderDetail values (2,2,"2",2,2,2,$2,$2);
2> GO
(1 rows affected)
1> insert into SalesOrderDetail values (3,3,"3",3,3,3,$3,$3);
2> GO
(1 rows affected)
1> insert into SalesOrderDetail values (4,4,"4",4,4,4,$4,$4);
2> GO
(1 rows affected)
1> insert into SalesOrderDetail values (5,5,"5",5,5,5,$5,$5);
2> GO
(1 rows affected)
1> insert into SalesOrderDetail values (6,6,"6",6,6,6,$6,$6);
2> GO
(1 rows affected)
1> insert into SalesOrderDetail values (7,7,"7",7,7,7,$7,$7);
2> GO
(1 rows affected)
1> insert into SalesOrderDetail values (8,8,"8",8,8,8,$8,$8);
2> GO
(1 rows affected)
1> insert into SalesOrderDetail values (9,9,"9",9,9,9,$9,$9);
2> GO
(1 rows affected)
1>
2> SELECT ProductID
3> , Name
4> FROM Product AS P
5> WHERE 1 =
6> (SELECT TOP 1 ProductID
7> FROM SalesOrderDetail As SD
8> WHERE P.ProductID = SD.ProductID)
9> GO
ProductID Name
----------- -------------------------
1 Product A
(1 rows affected)
1>
2> drop table Product;
3> GO
1>
2>
3> drop table SalesOrderDetail;
4> GO</source>

== using SELECT DISTINCT or a GROUP BY statement in the inner query==



<source lang="sql">
6>
7>
8>
9> CREATE TABLE Product(
10> ProductID int NOT NULL,
11> Name nvarchar(25) NOT NULL,
12> ProductNumber nvarchar(25) ,
13> Color nvarchar(15) NULL,
14> StandardCost money NOT NULL,
15> Size nvarchar(5) NULL,
16> Weight decimal(8, 2) NULL,
17> ProductLine nchar(20) NULL,
18> SellStartDate datetime NOT NULL,
19> SellEndDate datetime NULL
20> )
21> GO
1> insert into Product values(1,"Product A", "1","Red",123.123,"1",1,"ProductLine A","1999-03-22","2000-03-22");
2> GO
(1 rows affected)
1> insert into Product values(2,"Product B", "2","Yellow",234.234,"1",3,"ProductLine B","2000-03-22","2001-03-22");
2> GO
(1 rows affected)
1> insert into Product values(3,"Product C", "3","Pink",345.345,"1",3,"ProductLine V","2001-09-22","2006-02-22");
2> GO
(1 rows affected)
1> insert into Product values(4,"Product D", "4","White",456.456,"1",4,"ProductLine D","2002-08-22","2006-03-22");
2> GO
(1 rows affected)
1> insert into Product values(5,"Product E", "5","Black",567.567,"1",5,"ProductLine E","2003-01-22","2003-04-22");
2> GO
(1 rows affected)
1> insert into Product values(6,"Product F", "6","Blue",678.678,"1",6,"ProductLine W","2004-02-22","2005-05-22");
2> GO
(1 rows affected)
1> insert into Product values(7,"Product G", "7","Drak",789.789,"1",7,"ProductLine Q","2005-03-22","2006-03-22");
2> GO
(1 rows affected)
1> insert into Product values(8,"Product H", "8","Gray",234.123,"1",8,"ProductLine F","2006-04-22","2006-09-22");
2> GO
(1 rows affected)
1> insert into Product values(9,"Product I", "9","Red",543.123,"1",9,"ProductLine R","2007-05-22","2008-03-22");
2> GO
(1 rows affected)
1> insert into Product values(0,"Product J", "0","Gold",765.123,"1",0,"ProductLine J","2008-06-22","2009-03-22");
2> GO
(1 rows affected)
1>
2>
3>
4> CREATE TABLE SalesOrderDetail(
5> SalesOrderID int NOT NULL,
6> SalesOrderDetailID int NOT NULL,
7> CarrierTrackingNumber nvarchar(25) NULL,
8> OrderQty smallint NOT NULL,
9> ProductID int NOT NULL,
10> SpecialOfferID int NOT NULL,
11> UnitPrice money NOT NULL,
12> UnitPriceDiscount money NOT NULL DEFAULT (0.0),
13> LineTotal AS ISNULL([UnitPrice] * (1.0 - [UnitPriceDiscount]) * [OrderQty], 0.0)
14> );
15> GO
1>
2> insert into SalesOrderDetail values (1,1,"1",1,1,1,$1,$1);
3> GO
(1 rows affected)
1> insert into SalesOrderDetail values (2,2,"2",2,2,2,$2,$2);
2> GO
(1 rows affected)
1> insert into SalesOrderDetail values (3,3,"3",3,3,3,$3,$3);
2> GO
(1 rows affected)
1> insert into SalesOrderDetail values (4,4,"4",4,4,4,$4,$4);
2> GO
(1 rows affected)
1> insert into SalesOrderDetail values (5,5,"5",5,5,5,$5,$5);
2> GO
(1 rows affected)
1> insert into SalesOrderDetail values (6,6,"6",6,6,6,$6,$6);
2> GO
(1 rows affected)
1> insert into SalesOrderDetail values (7,7,"7",7,7,7,$7,$7);
2> GO
(1 rows affected)
1> insert into SalesOrderDetail values (8,8,"8",8,8,8,$8,$8);
2> GO
(1 rows affected)
1> insert into SalesOrderDetail values (9,9,"9",9,9,9,$9,$9);
2> GO
(1 rows affected)
1>
2>
3> SELECT ID
4> , Name
5> FROM Product AS P
6> WHERE 1 =
7> (SELECT DISTINCT ProductID
8> FROM SalesOrderDetail As SD
9> WHERE P.ProductID = SD.ProductID)
10> GO
1>
2> drop table Product;
3> GO
1>
2>
3> drop table SalesOrderDetail;
4> GO</source>

SQL Server/T-SQL Tutorial/Subquery/Subquery

2010-05-26T10:25:40Z

Admin: 1 версия

== <> ALL with subquery==



<source lang="sql">
5> CREATE TABLE authors(
6> au_id varchar(11),
7> au_lname varchar(40) NOT NULL,
8> au_fname varchar(20) NOT NULL,
9> phone char(12) NOT NULL DEFAULT ("UNKNOWN"),
10> address varchar(40) NULL,
11> city varchar(20) NULL,
12> state char(2) NULL,
13> zip char(5) NULL,
14> contract bit NOT NULL
15> )
16> GO
1> insert authors values("1", "Joe", "Abra", "111 111-1111", "6 St.", "Berkeley", "CA", "11111", 1)
2> insert authors values("2", "Jack", "Majo", "222 222-2222", "3 St.", "Oakland" , "CA", "22222", 1)
3> insert authors values("3", "Pink", "Cherry", "333 333-3333", "5 Ln.", "Vancouver", "BC", "33333", 1)
4> insert authors values("4", "Blue", "Albert", "444 444-4444", "7 Av.", "Vancouver", "BC", "44444", 1)
5> insert authors values("5", "Red", "Anne", "555 555-5555", "6 Av.", "Regina", "SK", "55555", 1)
6> insert authors values("6", "Black", "Michel", "666 666-6666", "3 Pl.", "Regina", "SK", "66666", 1)
7> insert authors values("7", "White", "Sylvia", "777 777-7777", "1 Pl.", "Rockville", "MD", "77777", 1)
8> insert authors values("8", "Yellow","Heather","888 888-8888", "3 Pu", "Vacaville", "CA", "88888", 0)
9> insert authors values("9", "Gold", "Dep", "999 999-9999", "5 Av.", "Oakland", "CA", "99999", 0)
10> insert authors values("10", "Siler", "Dean", "000 000-0000", "4 Av.", "Oakland", "CA", "00000", 1)
11> GO
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
1>
2>
3> CREATE TABLE titleauthor(
4> au_id varchar(20),
5> title_id varchar(20),
6> au_ord tinyint NULL,
7> royaltyper int NULL
8> )
9> GO
1>
2> insert titleauthor values("1", "2", 1, 60)
3> insert titleauthor values("2", "3", 1, 100)
4> insert titleauthor values("3", "4", 1, 100)
5> insert titleauthor values("4", "5", 1, 100)
6> insert titleauthor values("5", "6", 1, 100)
7> insert titleauthor values("6", "7", 2, 40)
8> insert titleauthor values("7", "8", 1, 100)
9> insert titleauthor values("8", "9", 1, 100)
10> GO
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
1>
2>
3>
4> SELECT "Author ID"=A.au_id,
5> "Author"=CONVERT(varchar(20), RTRIM(au_lname) + ", "
6> + RTRIM(au_fname)), state
7> FROM authors A
8> WHERE A.au_id <> ALL
9> (SELECT B.au_id FROM titleauthor B)
10> GO
Author ID Author state
----------- -------------------- -----
9 Gold, Dep CA
10 Siler, Dean CA
(2 rows affected)
1>
2>
3> SELECT "Author ID"=A.au_id,
4> "Author"=CONVERT(varchar(20), RTRIM(au_lname) + ", "
5> + RTRIM(au_fname)), state
6> FROM authors A
7> WHERE A.au_id NOT IN
8> (SELECT B.au_id FROM titleauthor B)
9> GO
Author ID Author state
----------- -------------------- -----
9 Gold, Dep CA
10 Siler, Dean CA
(2 rows affected)
1>
2>
3> drop table authors;
4> drop table titleauthor;
5> GO
1></source>

== A query that uses three subqueries==



<source lang="sql">
5>
6>
7>
8> create table Bankers(
9> BankerID Integer,
10> BankerName VARCHAR(20),
11> BankerContactLName VARCHAR(20),
12> BankerContactFName VARCHAR(20),
13> BankerCity VARCHAR(20),
14> BankerState VARCHAR(20),
15> BankerZipCode VARCHAR(20),
16> BankerPhone VARCHAR(20)
17> )
18> GO
1>
2> insert into Bankers values (1, "ABC Inc.","Joe","Smith","Vancouver","BC","11111","111-111-1111");
3> GO
(1 rows affected)
1> insert into Bankers values (2, "DEF Inc.","Red","Rice", "New York", "DE","22222","222-222-2222");
2> GO
(1 rows affected)
1> insert into Bankers values (3, "HJI Inc.","Kit","Cat", "Paris", "CA","33333","333-333-3333");
2> GO
(1 rows affected)
1> insert into Bankers values (4, "QWE Inc.","Git","Black","Regina", "ER","44444","444-444-4444");
2> GO
(1 rows affected)
1> insert into Bankers values (5, "RTY Inc.","Wil","Lee", "Toronto", "YU","55555","555-555-5555");
2> GO
(1 rows affected)
1> insert into Bankers values (6, "YUI Inc.","Ted","Larry","Calgary", "TY","66666","666-666-6666");
2> GO
(1 rows affected)
1> insert into Bankers values (7, "OIP Inc.","Yam","Act", "San Franc","FG","77777","777-777-7777");
2> GO
(1 rows affected)
1> insert into Bankers values (8, "SAD Inc.","Hit","Eat", "Orland", "PO","88888","888-888-8888");
2> GO
(1 rows affected)
1> insert into Bankers values (9, "DFG Inc.","Sad","Lee", "Wisler", "PL","99999","999-999-9999");
2> GO
(1 rows affected)
1> insert into Bankers values (0, "GHJ Inc.","Bit","Lee", "Ticker", "MN","00000","000-000-0000");
2> GO
(1 rows affected)
1>
2>
3> create table Billings (
4> BankerID INTEGER,
5> BillingNumber INTEGER,
6> BillingDate datetime,
7> BillingTotal INTEGER,
8> TermsID INTEGER,
9> BillingDueDate datetime ,
10> PaymentTotal INTEGER,
11> CreditTotal INTEGER
12>
13> );
14> GO
1>
2> INSERT INTO Billings VALUES (1, 1, "2005-01-22", 165, 1,"2005-04-22",123,321);
3> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (2, 2, "2001-02-21", 165, 1,"2002-02-22",123,321);
2> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (3, 3, "2003-05-02", 165, 1,"2005-04-12",123,321);
2> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (4, 4, "1999-03-12", 165, 1,"2005-04-18",123,321);
2> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (5, 5, "2000-04-23", 165, 1,"2005-04-17",123,321);
2> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (6, 6, "2001-06-14", 165, 1,"2005-04-18",123,321);
2> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (7, 7, "2002-07-15", 165, 1,"2005-04-19",123,321);
2> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (8, 8, "2003-08-16", 165, 1,"2005-04-20",123,321);
2> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (9, 9, "2004-09-17", 165, 1,"2005-04-21",123,321);
2> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (0, 0, "2005-10-18", 165, 1,"2005-04-22",123,321);
2> GO
(1 rows affected)
1>
2> SELECT Summary1.BankerState, Summary1.BankerName, TopInState.SumOfBillings
3> FROM
4> (SELECT V_Sub.BankerState, V_Sub.BankerName,
5> SUM(I_Sub.BillingTotal) AS SumOfBillings
6> FROM Billings AS I_Sub JOIN Bankers AS V_Sub
7> ON I_Sub.BankerID = V_Sub.BankerID
8> GROUP BY V_Sub.BankerState, V_Sub.BankerName) AS Summary1
9> JOIN
10> (SELECT Summary2.BankerState,
11> MAX(Summary2.SumOfBillings) AS SumOfBillings
12> FROM
13> (SELECT V_Sub.BankerState, V_Sub.BankerName,
14> SUM(I_Sub.BillingTotal) AS SumOfBillings
15> FROM Billings AS I_Sub JOIN Bankers AS V_Sub
16> ON I_Sub.BankerID = V_Sub.BankerID
17> GROUP BY V_Sub.BankerState, V_Sub.BankerName) AS Summary2
18> GROUP BY Summary2.BankerState) AS TopInState
19> ON Summary1.BankerState = TopInState.BankerState AND
20> Summary1.SumOfBillings = TopInState.SumOfBillings
21> ORDER BY Summary1.BankerState
22> GO
BankerState BankerName SumOfBillings
-------------------- -------------------- -------------
BC ABC Inc. 165
CA HJI Inc. 165
DE DEF Inc. 165
ER QWE Inc. 165
FG OIP Inc. 165
MN GHJ Inc. 165
PL DFG Inc. 165
PO SAD Inc. 165
TY YUI Inc. 165
YU RTY Inc. 165
(10 rows affected)
1>
2> drop table Bankers;
3> drop table Billings;
4> GO
1></source>

== A subquery can be used with other comparison operators: ==



<source lang="sql">
5>
6> CREATE TABLE employee(
7> id INTEGER NOT NULL PRIMARY KEY,
8> first_name VARCHAR(10),
9> last_name VARCHAR(10),
10> salary DECIMAL(10,2),
11> start_Date DATETIME,
12> region VARCHAR(10),
13> city VARCHAR(20)
14> );
15> GO
1> INSERT INTO employee VALUES (1, "Jason" , "Martin", 5890,"2005-03-22","North","Vancouver");
2> INSERT INTO employee VALUES (2, "Alison", "Mathews",4789,"2003-07-21","South","Utown");
3> INSERT INTO employee VALUES (3, "James" , "Smith", 6678,"2001-12-01","North","Paris");
4> INSERT INTO employee VALUES (4, "Celia" , "Rice", 5567,"2006-03-03","South","London");
5> INSERT INTO employee VALUES (5, "Robert", "Black", 4467,"2004-07-02","East","Newton");
6> INSERT INTO employee VALUES (6, "Linda" , "Green" , 6456,"2002-05-19","East","Calgary");
7> INSERT INTO employee VALUES (7, "David" , "Larry", 5345,"2008-03-18","West","New York");
8> INSERT INTO employee VALUES (8, "James" , "Cat", 4234,"2007-07-17","West","Regina");
9> INSERT INTO employee VALUES (9, "Joan" , "Act", 6123,"2001-04-16","North","Toronto");
10> GO
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
1> select * from employee;
2> GO
id first_name last_name salary start_Date region city
----------- ---------- ---------- ------------ ----------------------- ---------- --------------------
1 Jason Martin 5890.00 2005-03-22 00:00:00.000 North Vancouver
2 Alison Mathews 4789.00 2003-07-21 00:00:00.000 South Utown
3 James Smith 6678.00 2001-12-01 00:00:00.000 North Paris
4 Celia Rice 5567.00 2006-03-03 00:00:00.000 South London
5 Robert Black 4467.00 2004-07-02 00:00:00.000 East Newton
6 Linda Green 6456.00 2002-05-19 00:00:00.000 East Calgary
7 David Larry 5345.00 2008-03-18 00:00:00.000 West New York
8 James Cat 4234.00 2007-07-17 00:00:00.000 West Regina
9 Joan Act 6123.00 2001-04-16 00:00:00.000 North Toronto
(9 rows affected)
1>
2> CREATE TABLE title(
3> id INTEGER,
4> job_title VARCHAR(20)
5> );
6> GO
1> INSERT INTO title VALUES (1, "developer");
2> INSERT INTO title VALUES (2, "manager");
3>
4> GO
(1 rows affected)
(1 rows affected)
1>
2> SELECT DISTINCT id
3> FROM employee
4> WHERE id <
5> (SELECT id
6> FROM title
7> WHERE job_title = "developer")
8>
9>
10>
11> drop table employee;
12> drop table title;
13> GO
id
-----------
(0 rows affected)
1> --Any comparison operator can be used, provided the inner query returns exactly one row.
2></source>

== Building a Nested Subquery==



<source lang="sql">
A subquery is a SELECT query that is nested within another SELECT, INSERT, UPDATE, or DELETE statement.
A subquery can also be nested inside another subquery.
Subqueries can often be re-written into regular JOINs.
Sometimes an existence subquery can perform better than equivalent non-subquery methods.
A correlated subquery is a subquery whose results depend on the values of the outer query.

SELECT <SELECT list>
FROM <SomeTable>
WHERE <SomeColumn> = (
SELECT <single column>
FROM <SomeTable>
WHERE <condition that results in only one row returned>)
Or:
SELECT <SELECT list>
FROM <SomeTable>
WHERE <SomeColumn> IN (
SELECT <single column>
FROM <SomeTable>
[WHERE <condition>])</source>

== Delete with subquery==



<source lang="sql">
4> CREATE TABLE employee(
5> id INTEGER NOT NULL PRIMARY KEY,
6> first_name VARCHAR(10),
7> last_name VARCHAR(10),
8> salary DECIMAL(10,2),
9> start_Date DATETIME,
10> region VARCHAR(10),
11> city VARCHAR(20)
12> );
13> GO
1> INSERT INTO employee VALUES (1, "Jason" , "Martin", 5890,"2005-03-22","North","Vancouver");
2> INSERT INTO employee VALUES (2, "Alison", "Mathews",4789,"2003-07-21","South","Utown");
3> INSERT INTO employee VALUES (3, "James" , "Smith", 6678,"2001-12-01","North","Paris");
4> INSERT INTO employee VALUES (4, "Celia" , "Rice", 5567,"2006-03-03","South","London");
5> INSERT INTO employee VALUES (5, "Robert", "Black", 4467,"2004-07-02","East","Newton");
6> INSERT INTO employee VALUES (6, "Linda" , "Green" , 6456,"2002-05-19","East","Calgary");
7> INSERT INTO employee VALUES (7, "David" , "Larry", 5345,"2008-03-18","West","New York");
8> INSERT INTO employee VALUES (8, "James" , "Cat", 4234,"2007-07-17","West","Regina");
9> INSERT INTO employee VALUES (9, "Joan" , "Act", 6123,"2001-04-16","North","Toronto");
10> GO
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
1> select * from employee;
2> GO
id first_name last_name salary start_Date region city
----------- ---------- ---------- ------------ ----------------------- ---------- --------------------
1 Jason Martin 5890.00 2005-03-22 00:00:00.000 North Vancouver
2 Alison Mathews 4789.00 2003-07-21 00:00:00.000 South Utown
3 James Smith 6678.00 2001-12-01 00:00:00.000 North Paris
4 Celia Rice 5567.00 2006-03-03 00:00:00.000 South London
5 Robert Black 4467.00 2004-07-02 00:00:00.000 East Newton
6 Linda Green 6456.00 2002-05-19 00:00:00.000 East Calgary
7 David Larry 5345.00 2008-03-18 00:00:00.000 West New York
8 James Cat 4234.00 2007-07-17 00:00:00.000 West Regina
9 Joan Act 6123.00 2001-04-16 00:00:00.000 North Toronto
(9 rows affected)
1>
2> CREATE TABLE title(
3> id INTEGER,
4> job_title VARCHAR(20)
5> );
6> GO
1> INSERT INTO title VALUES (1, "developer");
2> INSERT INTO title VALUES (1, "manager");
3> INSERT INTO title VALUES (2, "tester");
4> INSERT INTO title VALUES (2, "programmer");
5> INSERT INTO title VALUES (3, "boss");
6> INSERT INTO title VALUES (4, "sales");
7> INSERT INTO title VALUES (5, "market");
8> INSERT INTO title VALUES (6, "coder");
9> INSERT INTO title VALUES (7, "tester");
10> INSERT INTO title VALUES (8, "developer");
11> INSERT INTO title VALUES (9, "manager");
12> GO
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
1>
2>
3> DELETE FROM Employee
4> WHERE ID NOT IN
5> (SELECT ID FROM Title)
6>
7> drop table employee;
8> drop table title;
9> GO
(0 rows affected)
1>
2></source>

== Doing calculation with subquery==



<source lang="sql">
5> CREATE TABLE employee(
6> id INTEGER NOT NULL PRIMARY KEY,
7> first_name VARCHAR(10),
8> last_name VARCHAR(10),
9> salary DECIMAL(10,2),
10> start_Date DATETIME,
11> region VARCHAR(10),
12> city VARCHAR(20),
13> managerid INTEGER
14> );
15> GO
1> INSERT INTO employee VALUES (1, "Jason" , "Martin", 5890,"2005-03-22","North","Vancouver",3);
2> GO
(1 rows affected)
1> INSERT INTO employee VALUES (2, "Alison", "Mathews",4789,"2003-07-21","South","Utown",4);
2> GO
(1 rows affected)
1> INSERT INTO employee VALUES (3, "James" , "Smith", 6678,"2001-12-01","North","Paris",5);
2> GO
(1 rows affected)
1> INSERT INTO employee VALUES (4, "Celia" , "Rice", 5567,"2006-03-03","South","London",6);
2> GO
(1 rows affected)
1> INSERT INTO employee VALUES (5, "Robert", "Black", 4467,"2004-07-02","East","Newton",7);
2> GO
(1 rows affected)
1> INSERT INTO employee VALUES (6, "Linda" , "Green" , 6456,"2002-05-19","East","Calgary",8);
2> GO
(1 rows affected)
1> INSERT INTO employee VALUES (7, "David" , "Larry", 5345,"2008-03-18","West","New York",9);
2> GO
(1 rows affected)
1> INSERT INTO employee VALUES (8, "James" , "Cat", 4234,"2007-07-17","West","Regina",9);
2> GO
(1 rows affected)
1> INSERT INTO employee VALUES (9, "Joan" , "Act", 6123,"2001-04-16","North","Toronto",10);
2> GO
(1 rows affected)
1>
2> select * from employee;
3> GO
id first_name last_name salary start_Date region city managerid
----------- ---------- ---------- ------------ ----------------------- ---------- -------------------- -----------
1 Jason Martin 5890.00 2005-03-22 00:00:00.000 North Vancouver 3
2 Alison Mathews 4789.00 2003-07-21 00:00:00.000 South Utown 4
3 James Smith 6678.00 2001-12-01 00:00:00.000 North Paris 5
4 Celia Rice 5567.00 2006-03-03 00:00:00.000 South London 6
5 Robert Black 4467.00 2004-07-02 00:00:00.000 East Newton 7
6 Linda Green 6456.00 2002-05-19 00:00:00.000 East Calgary 8
7 David Larry 5345.00 2008-03-18 00:00:00.000 West New York 9
8 James Cat 4234.00 2007-07-17 00:00:00.000 West Regina 9
9 Joan Act 6123.00 2001-04-16 00:00:00.000 North Toronto 10
(9 rows affected)
1>
2>
3> SELECT ID, Salary, Salary - (SELECT Avg(Salary) FROM Employee)
4> As AvgSalaryDifference
5> FROM Employee
6> GO
ID Salary AvgSalaryDifference
----------- ------------ ----------------------------------------
1 5890.00 384.555556
2 4789.00 -716.444444
3 6678.00 1172.555556
4 5567.00 61.555556
5 4467.00 -1038.444444
6 6456.00 950.555556
7 5345.00 -160.444444
8 4234.00 -1271.444444
9 6123.00 617.555556
(9 rows affected)
1>
2>
3>
4> drop table employee;
5> GO</source>

== ID NOT IN (SELECT ID FROM Title)==



<source lang="sql">
6> CREATE TABLE employee(
7> id INTEGER NOT NULL PRIMARY KEY,
8> first_name VARCHAR(10),
9> last_name VARCHAR(10),
10> salary DECIMAL(10,2),
11> start_Date DATETIME,
12> region VARCHAR(10),
13> city VARCHAR(20)
14> );
15> GO
1> INSERT INTO employee VALUES (1, "Jason" , "Martin", 5890,"2005-03-22","North","Vancouver");
2> INSERT INTO employee VALUES (2, "Alison", "Mathews",4789,"2003-07-21","South","Utown");
3> INSERT INTO employee VALUES (3, "James" , "Smith", 6678,"2001-12-01","North","Paris");
4> INSERT INTO employee VALUES (4, "Celia" , "Rice", 5567,"2006-03-03","South","London");
5> INSERT INTO employee VALUES (5, "Robert", "Black", 4467,"2004-07-02","East","Newton");
6> INSERT INTO employee VALUES (6, "Linda" , "Green" , 6456,"2002-05-19","East","Calgary");
7> INSERT INTO employee VALUES (7, "David" , "Larry", 5345,"2008-03-18","West","New York");
8> INSERT INTO employee VALUES (8, "James" , "Cat", 4234,"2007-07-17","West","Regina");
9> INSERT INTO employee VALUES (9, "Joan" , "Act", 6123,"2001-04-16","North","Toronto");
10> GO
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
1> select * from employee;
2> GO
id first_name last_name salary start_Date region city
----------- ---------- ---------- ------------ ----------------------- ---------- --------------------
1 Jason Martin 5890.00 2005-03-22 00:00:00.000 North Vancouver
2 Alison Mathews 4789.00 2003-07-21 00:00:00.000 South Utown
3 James Smith 6678.00 2001-12-01 00:00:00.000 North Paris
4 Celia Rice 5567.00 2006-03-03 00:00:00.000 South London
5 Robert Black 4467.00 2004-07-02 00:00:00.000 East Newton
6 Linda Green 6456.00 2002-05-19 00:00:00.000 East Calgary
7 David Larry 5345.00 2008-03-18 00:00:00.000 West New York
8 James Cat 4234.00 2007-07-17 00:00:00.000 West Regina
9 Joan Act 6123.00 2001-04-16 00:00:00.000 North Toronto
(9 rows affected)
1>
2> CREATE TABLE title(
3> id INTEGER,
4> job_title VARCHAR(20)
5> );
6> GO
1> INSERT INTO title VALUES (1, "developer");
2> INSERT INTO title VALUES (1, "manager");
3> INSERT INTO title VALUES (2, "tester");
4> INSERT INTO title VALUES (2, "programmer");
5> INSERT INTO title VALUES (3, "boss");
6> INSERT INTO title VALUES (4, "sales");
7> INSERT INTO title VALUES (5, "market");
8> INSERT INTO title VALUES (6, "coder");
9> INSERT INTO title VALUES (7, "tester");
10> INSERT INTO title VALUES (8, "developer");
11> INSERT INTO title VALUES (9, "manager");
12> GO
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
1>
2>
3> SELECT ID, First_Name
4> FROM Employee
5> WHERE ID NOT IN
6> (SELECT ID FROM Title)
7> GO
ID First_Name
----------- ----------
(0 rows affected)
1>
2> drop table employee;
3> drop table title;
4> GO
1></source>

== Join and sub query==



<source lang="sql">
3> CREATE TABLE Orders (
4> OrderID int NOT NULL ,
5> CustomerID nchar (5) NULL ,
6> EmployeeID int NULL ,
7> OrderDate datetime NULL ,
8> RequiredDate datetime NULL ,
9> ShippedDate datetime NULL ,
10> ShipVia int NULL ,
11> Freight money NULL DEFAULT (0),
12> ShipName nvarchar (40) NULL ,
13> ShipAddress nvarchar (60) NULL ,
14> ShipCity nvarchar (15) NULL ,
15> ShipRegion nvarchar (15) NULL ,
16> ShipPostalCode nvarchar (10) NULL ,
17> ShipCountry nvarchar (15) NULL
18> )
19> GO
1>
2>
3> CREATE TABLE OrderDetails (
4> OrderID int NOT NULL ,
5> ProductID int NOT NULL ,
6> UnitPrice money NOT NULL DEFAULT (0),
7> Quantity smallint NOT NULL DEFAULT (1),
8> Discount real NOT NULL DEFAULT (0)
9> )
10> GO
1> INSERT OrderDetails VALUES(10248,11,14,12,0)
2> INSERT OrderDetails VALUES(10248,42,9.8,10,0)
3> INSERT OrderDetails VALUES(10248,72,34.8,5,0)
4> INSERT OrderDetails VALUES(10249,14,18.6,9,0)
5> INSERT OrderDetails VALUES(10249,51,42.4,40,0)
6> INSERT OrderDetails VALUES(10250,41,7.7,10,0)
7> INSERT OrderDetails VALUES(10250,51,42.4,35,0.15)
8> INSERT OrderDetails VALUES(10250,65,16.8,15,0.15)
9> INSERT OrderDetails VALUES(10251,22,16.8,6,0.05)
10> INSERT OrderDetails VALUES(10251,57,15.6,15,0.05)
11> go
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
1>
2> DECLARE @FirstDate smalldatetime
3>
4> SELECT @FirstDate = MIN(OrderDate) FROM Orders
5>
6> SELECT DISTINCT o.OrderDate, od.ProductID
7> FROM Orders o
8> JOIN OrderDetails od
9> ON o.OrderID = od.OrderID
10> WHERE o.OrderDate = @FirstDate
11> GO
OrderDate ProductID
----------------------- -----------
(0 rows affected)
1>
2> SELECT DISTINCT o.OrderDate, od.ProductID
3> FROM Orders o
4> JOIN OrderDetails od
5> ON o.OrderID = od.OrderID
6> WHERE o.OrderDate = (SELECT MIN(OrderDate) FROM Orders)
7> GO
OrderDate ProductID
----------------------- -----------
(0 rows affected)
1>
2> drop table orders;
3> drop table OrderDetails;
4> GO
1></source>

== Subqueries and Comparison Operators: ===



<source lang="sql">
4>
5> CREATE TABLE employee(
6> id INTEGER NOT NULL PRIMARY KEY,
7> first_name VARCHAR(10),
8> last_name VARCHAR(10),
9> salary DECIMAL(10,2),
10> start_Date DATETIME,
11> region VARCHAR(10),
12> city VARCHAR(20)
13> );
14> GO
1> INSERT INTO employee VALUES (1, "Jason" , "Martin", 5890,"2005-03-22","North","Vancouver");
2> INSERT INTO employee VALUES (2, "Alison", "Mathews",4789,"2003-07-21","South","Utown");
3> INSERT INTO employee VALUES (3, "James" , "Smith", 6678,"2001-12-01","North","Paris");
4> INSERT INTO employee VALUES (4, "Celia" , "Rice", 5567,"2006-03-03","South","London");
5> INSERT INTO employee VALUES (5, "Robert", "Black", 4467,"2004-07-02","East","Newton");
6> INSERT INTO employee VALUES (6, "Linda" , "Green" , 6456,"2002-05-19","East","Calgary");
7> INSERT INTO employee VALUES (7, "David" , "Larry", 5345,"2008-03-18","West","New York");
8> INSERT INTO employee VALUES (8, "James" , "Cat", 4234,"2007-07-17","West","Regina");
9> INSERT INTO employee VALUES (9, "Joan" , "Act", 6123,"2001-04-16","North","Toronto");
10> GO
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
1> select * from employee;
2> GO
id first_name last_name salary start_Date region city
----------- ---------- ---------- ------------ ----------------------- ---------- --------------------
1 Jason Martin 5890.00 2005-03-22 00:00:00.000 North Vancouver
2 Alison Mathews 4789.00 2003-07-21 00:00:00.000 South Utown
3 James Smith 6678.00 2001-12-01 00:00:00.000 North Paris
4 Celia Rice 5567.00 2006-03-03 00:00:00.000 South London
5 Robert Black 4467.00 2004-07-02 00:00:00.000 East Newton
6 Linda Green 6456.00 2002-05-19 00:00:00.000 East Calgary
7 David Larry 5345.00 2008-03-18 00:00:00.000 West New York
8 James Cat 4234.00 2007-07-17 00:00:00.000 West Regina
9 Joan Act 6123.00 2001-04-16 00:00:00.000 North Toronto
(9 rows affected)
1>
2> CREATE TABLE title(
3> id INTEGER,
4> job_title VARCHAR(20)
5> );
6> GO
1> INSERT INTO title VALUES (1, "developer");
2> INSERT INTO title VALUES (2, "tester");
3> GO
(1 rows affected)
(1 rows affected)
1>
2>
3> SELECT * FROM employee
4> WHERE id =
5> (SELECT id
6> FROM title
7> WHERE job_title = "developer")
8> GO
id first_name last_name salary start_Date region city
----------- ---------- ---------- ------------ ----------------------- ---------- --------------------
1 Jason Martin 5890.00 2005-03-22 00:00:00.000 North Vancouver
(1 rows affected)
1>
2>
3> drop table employee;
4> drop table title;
5> GO
1></source>

== Subqueries and IN Operator==



<source lang="sql">
The IN operator allows the specification of a set of expressions (or constants) that
are subsequently used for the query search.
8>
9>
10> CREATE TABLE employee(
11> id INTEGER NOT NULL PRIMARY KEY,
12> first_name VARCHAR(10),
13> last_name VARCHAR(10),
14> salary DECIMAL(10,2),
15> start_Date DATETIME,
16> region VARCHAR(10),
17> city VARCHAR(20)
18> );
19> GO
1> INSERT INTO employee VALUES (1, "Jason" , "Martin", 5890,"2005-03-22","North","Vancouver");
2> INSERT INTO employee VALUES (2, "Alison", "Mathews",4789,"2003-07-21","South","Utown");
3> INSERT INTO employee VALUES (3, "James" , "Smith", 6678,"2001-12-01","North","Paris");
4> INSERT INTO employee VALUES (4, "Celia" , "Rice", 5567,"2006-03-03","South","London");
5> INSERT INTO employee VALUES (5, "Robert", "Black", 4467,"2004-07-02","East","Newton");
6> INSERT INTO employee VALUES (6, "Linda" , "Green" , 6456,"2002-05-19","East","Calgary");
7> INSERT INTO employee VALUES (7, "David" , "Larry", 5345,"2008-03-18","West","New York");
8> INSERT INTO employee VALUES (8, "James" , "Cat", 4234,"2007-07-17","West","Regina");
9> INSERT INTO employee VALUES (9, "Joan" , "Act", 6123,"2001-04-16","North","Toronto");
10> GO
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
1> select * from employee;
2> GO
id first_name last_name salary start_Date region city
----------- ---------- ---------- ------------ ----------------------- ---------- --------------------
1 Jason Martin 5890.00 2005-03-22 00:00:00.000 North Vancouver
2 Alison Mathews 4789.00 2003-07-21 00:00:00.000 South Utown
3 James Smith 6678.00 2001-12-01 00:00:00.000 North Paris
4 Celia Rice 5567.00 2006-03-03 00:00:00.000 South London
5 Robert Black 4467.00 2004-07-02 00:00:00.000 East Newton
6 Linda Green 6456.00 2002-05-19 00:00:00.000 East Calgary
7 David Larry 5345.00 2008-03-18 00:00:00.000 West New York
8 James Cat 4234.00 2007-07-17 00:00:00.000 West Regina
9 Joan Act 6123.00 2001-04-16 00:00:00.000 North Toronto
(9 rows affected)
1>
2> CREATE TABLE title(
3> id INTEGER,
4> job_title VARCHAR(20)
5> );
6> GO
1> INSERT INTO title VALUES (1, "developer");
2> INSERT INTO title VALUES (1, "manager");
3> INSERT INTO title VALUES (2, "tester");
4> INSERT INTO title VALUES (2, "programmer");
5> INSERT INTO title VALUES (3, "boss");
6> INSERT INTO title VALUES (4, "sales");
7> INSERT INTO title VALUES (5, "market");
8> INSERT INTO title VALUES (6, "coder");
9> INSERT INTO title VALUES (7, "tester");
10> INSERT INTO title VALUES (8, "developer");
11> INSERT INTO title VALUES (9, "manager");
12> GO
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
1>
2>
3> SELECT * FROM employee WHERE id IN (SELECT id FROM title)
4> GO
id first_name last_name salary start_Date region city
----------- ---------- ---------- ------------ ----------------------- ---------- --------------------
1 Jason Martin 5890.00 2005-03-22 00:00:00.000 North Vancouver
2 Alison Mathews 4789.00 2003-07-21 00:00:00.000 South Utown
3 James Smith 6678.00 2001-12-01 00:00:00.000 North Paris
4 Celia Rice 5567.00 2006-03-03 00:00:00.000 South London
5 Robert Black 4467.00 2004-07-02 00:00:00.000 East Newton
6 Linda Green 6456.00 2002-05-19 00:00:00.000 East Calgary
7 David Larry 5345.00 2008-03-18 00:00:00.000 West New York
8 James Cat 4234.00 2007-07-17 00:00:00.000 West Regina
9 Joan Act 6123.00 2001-04-16 00:00:00.000 North Toronto
(9 rows affected)
1>
2>
3> drop table employee;
4> drop table title;
5> GO
1></source>

== Subqueries are SELECT statements that are nested within another T-SQL statement.==



<source lang="sql">
5>
6> CREATE TABLE titles(
7> title_id varchar(20),
8> title varchar(80) NOT NULL,
9> type char(12) NOT NULL,
10> pub_id char(4) NULL,
11> price money NULL,
12> advance money NULL,
13> royalty int NULL,
14> ytd_sales int NULL,
15> notes varchar(200) NULL,
16> pubdate datetime NOT NULL
17> )
18> GO
1>
2> insert titles values ("1", "Secrets", "popular_comp", "1389", $20.00, $8000.00, 10, 4095,"Note 1","06/12/94")
3> insert titles values ("2", "The", "business", "1389", $19.99, $5000.00, 10, 4095,"Note 2","06/12/91")
4> insert titles values ("3", "Emotional", "psychology", "0736", $7.99, $4000.00, 10, 3336,"Note 3","06/12/91")
5> insert titles values ("4", "Prolonged", "psychology", "0736", $19.99, $2000.00, 10, 4072,"Note 4","06/12/91")
6> insert titles values ("5", "With", "business", "1389", $11.95, $5000.00, 10, 3876,"Note 5","06/09/91")
7> insert titles values ("6", "Valley", "mod_cook", "0877", $19.99, $0.00, 12, 2032,"Note 6","06/09/91")
8> insert titles values ("7", "Any?", "trad_cook", "0877", $14.99, $8000.00, 10, 4095,"Note 7","06/12/91")
9> insert titles values ("8", "Fifty", "trad_cook", "0877", $11.95, $4000.00, 14, 1509,"Note 8","06/12/91")
10> GO
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
1>
2> CREATE TABLE sales(
3> stor_id char(4) NOT NULL,
4> ord_num varchar(20) NOT NULL,
5> ord_date datetime NOT NULL,
6> qty smallint NOT NULL,
7> payterms varchar(12) NOT NULL,
8> title_id varchar(80)
9> )
10> GO
1> insert sales values("1", "QA7442.3", "09/13/94", 75, "ON Billing","1")
2> insert sales values("2", "D4482", "09/14/94", 10, "Net 60", "1")
3> insert sales values("3", "N914008", "09/14/94", 20, "Net 30", "2")
4> insert sales values("4", "N914014", "09/14/94", 25, "Net 30", "3")
5> insert sales values("5", "423LL922", "09/14/94", 15, "ON Billing","3")
6> insert sales values("6", "423LL930", "09/14/94", 10, "ON Billing","2")
7>
8> GO
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
1>
2> SELECT title, price
3> FROM titles
4> WHERE title_id IN
5> (SELECT title_id
6> FROM sales
7> WHERE qty > 30)
8> GO
title price
-------------------------------------------------------------------------------- ---------------------
Secrets 20.0000
(1 rows affected)
1>
2> drop table sales;
3> drop table titles;
4> GO
1></source>

== Subqueries can be nested.==



<source lang="sql">
4> CREATE TABLE employee(
5> id INTEGER NOT NULL PRIMARY KEY,
6> first_name VARCHAR(10),
7> last_name VARCHAR(10),
8> salary DECIMAL(10,2),
9> start_Date DATETIME,
10> region VARCHAR(10),
11> city VARCHAR(20)
12> );
13> GO
1> INSERT INTO employee VALUES (1, "Jason" , "Martin", 5890,"2005-03-22","North","Vancouver");
2> INSERT INTO employee VALUES (2, "Alison", "Mathews",4789,"2003-07-21","South","Utown");
3> INSERT INTO employee VALUES (3, "James" , "Smith", 6678,"2001-12-01","North","Paris");
4> INSERT INTO employee VALUES (4, "Celia" , "Rice", 5567,"2006-03-03","South","London");
5> INSERT INTO employee VALUES (5, "Robert", "Black", 4467,"2004-07-02","East","Newton");
6> INSERT INTO employee VALUES (6, "Linda" , "Green" , 6456,"2002-05-19","East","Calgary");
7> INSERT INTO employee VALUES (7, "David" , "Larry", 5345,"2008-03-18","West","New York");
8> INSERT INTO employee VALUES (8, "James" , "Cat", 4234,"2007-07-17","West","Regina");
9> INSERT INTO employee VALUES (9, "Joan" , "Act", 6123,"2001-04-16","North","Toronto");
10> GO
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
1> select * from employee;
2> GO
id first_name last_name salary start_Date region city
----------- ---------- ---------- ------------ ----------------------- ---------- --------------------
1 Jason Martin 5890.00 2005-03-22 00:00:00.000 North Vancouver
2 Alison Mathews 4789.00 2003-07-21 00:00:00.000 South Utown
3 James Smith 6678.00 2001-12-01 00:00:00.000 North Paris
4 Celia Rice 5567.00 2006-03-03 00:00:00.000 South London
5 Robert Black 4467.00 2004-07-02 00:00:00.000 East Newton
6 Linda Green 6456.00 2002-05-19 00:00:00.000 East Calgary
7 David Larry 5345.00 2008-03-18 00:00:00.000 West New York
8 James Cat 4234.00 2007-07-17 00:00:00.000 West Regina
9 Joan Act 6123.00 2001-04-16 00:00:00.000 North Toronto
(9 rows affected)
1>
2> CREATE TABLE title(
3> id INTEGER,
4> job_title VARCHAR(20)
5> );
6> GO
1> INSERT INTO title VALUES (1, "developer");
2> INSERT INTO title VALUES (1, "manager");
3> INSERT INTO title VALUES (2, "tester");
4> INSERT INTO title VALUES (2, "programmer");
5> INSERT INTO title VALUES (3, "boss");
6> INSERT INTO title VALUES (4, "sales");
7> INSERT INTO title VALUES (5, "market");
8> INSERT INTO title VALUES (6, "coder");
9> INSERT INTO title VALUES (7, "tester");
10> INSERT INTO title VALUES (8, "developer");
11> INSERT INTO title VALUES (9, "manager");
12> GO
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
1>
2>
3> SELECT ID, First_Name
4> FROM Employee
5> WHERE ID IN
6> ( SELECT ID
7> FROM Title
8> WHERE ID IN
9> ( SELECT id
10> FROM Employee
11> WHERE Start_Date > "3-1-2003")
12> )
13> GO
ID First_Name
----------- ----------
1 Jason
2 Alison
4 Celia
5 Robert
7 David
8 James
(6 rows affected)
1> drop table employee;
2> drop table title;
3> GO
1>
2></source>

== Subquery returned more than 1 value. This is not permitted when the subquery follows =, !=, <, <= , >, >= or when the subquery is used as an expression.==



<source lang="sql">
5> CREATE TABLE titles(
6> title_id varchar(20),
7> title varchar(80) NOT NULL,
8> type char(12) NOT NULL,
9> pub_id char(4) NULL,
10> price money NULL,
11> advance money NULL,
12> royalty int NULL,
13> ytd_sales int NULL,
14> notes varchar(200) NULL,
15> pubdate datetime NOT NULL
16> )
17> GO
1>
2> insert titles values ("1", "Secrets", "popular_comp", "1389", $20.00, $8000.00, 10, 4095,"Note 1","06/12/94")
3> insert titles values ("2", "The", "business", "1389", $19.99, $5000.00, 10, 4095,"Note 2","06/12/91")
4> insert titles values ("3", "Emotional", "psychology", "0736", $7.99, $4000.00, 10, 3336,"Note 3","06/12/91")
5> insert titles values ("4", "Prolonged", "psychology", "0736", $19.99, $2000.00, 10, 4072,"Note 4","06/12/91")
6> insert titles values ("5", "With", "business", "1389", $11.95, $5000.00, 10, 3876,"Note 5","06/09/91")
7> insert titles values ("6", "Valley", "mod_cook", "0877", $19.99, $0.00, 12, 2032,"Note 6","06/09/91")
8> insert titles values ("7", "Any?", "trad_cook", "0877", $14.99, $8000.00, 10, 4095,"Note 7","06/12/91")
9> insert titles values ("8", "Fifty", "trad_cook", "0877", $11.95, $4000.00, 14, 1509,"Note 8","06/12/91")
10> GO
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
1>
2>
3> CREATE TABLE roysched(
4> title_id varchar(20),
5> lorange int NULL,
6> hirange int NULL,
7> royalty int NULL
8> )
9> GO
1>
2>
3> insert roysched values("1", 0, 10000, 10)
4> insert roysched values("2", 10001, 20000, 12)
5> insert roysched values("3", 20001, 30000, 14)
6> insert roysched values("4", 30001, 40000, 16)
7> insert roysched values("5", 40001, 50000, 18)
8>
9> GO
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
1>
2>
3>
4> SELECT titles.title_id, title, royalty
5> FROM titles
6> WHERE titles.royalty >=
7> (SELECT 1.25 * roysched.royalty FROM roysched)
8>
9> GO
Msg 512, Level 16, State 1, Server J\SQLEXPRESS, Line 4
Subquery returned more than 1 value. This is not permitted when the subquery follows =, !=, <, <= , >, >= or when the subquery is used as an expression.
1>
2> drop table titles;
3> drop table roysched;
4> GO
1>
2></source>

== subquery with >===



<source lang="sql">
3> CREATE TABLE titles(
4> title_id varchar(20),
5> title varchar(80) NOT NULL,
6> type char(12) NOT NULL,
7> pub_id char(4) NULL,
8> price money NULL,
9> advance money NULL,
10> royalty int NULL,
11> ytd_sales int NULL,
12> notes varchar(200) NULL,
13> pubdate datetime NOT NULL
14> )
15> GO
1>
2> insert titles values ("1", "Secrets", "popular_comp", "1389", $20.00, $8000.00, 10, 4095,"Note 1","06/12/94")
3> insert titles values ("2", "The", "business", "1389", $19.99, $5000.00, 10, 4095,"Note 2","06/12/91")
4> insert titles values ("3", "Emotional", "psychology", "0736", $7.99, $4000.00, 10, 3336,"Note 3","06/12/91")
5> insert titles values ("4", "Prolonged", "psychology", "0736", $19.99, $2000.00, 10, 4072,"Note 4","06/12/91")
6> insert titles values ("5", "With", "business", "1389", $11.95, $5000.00, 10, 3876,"Note 5","06/09/91")
7> insert titles values ("6", "Valley", "mod_cook", "0877", $19.99, $0.00, 12, 2032,"Note 6","06/09/91")
8> insert titles values ("7", "Any?", "trad_cook", "0877", $14.99, $8000.00, 10, 4095,"Note 7","06/12/91")
9> insert titles values ("8", "Fifty", "trad_cook", "0877", $11.95, $4000.00, 14, 1509,"Note 8","06/12/91")
10> GO
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
1>
2>
3> CREATE TABLE roysched(
4> title_id varchar(20),
5> lorange int NULL,
6> hirange int NULL,
7> royalty int NULL
8> )
9> GO
1>
2>
3> insert roysched values("1", 0, 10000, 10)
4> insert roysched values("2", 10001, 20000, 12)
5> insert roysched values("3", 20001, 30000, 14)
6> insert roysched values("4", 30001, 40000, 16)
7> insert roysched values("5", 40001, 50000, 18)
8>
9> GO
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
1>
2>
3> SELECT titles.title_id, title, royalty
4> FROM titles
5> WHERE titles.royalty >=
6> (SELECT 1.25 * AVG(roysched.royalty) FROM roysched)
7> GO
title_id title royalty
-------------------- -------------------------------------------------------------------------------- -----------
(0 rows affected)
1>
2> drop table titles;
3> drop table roysched;
4> GO
1>
2></source>

== Using Subqueries to Check for the Existence of Matches==



<source lang="sql">
13>
14> CREATE TABLE employee(
15> id INTEGER NOT NULL PRIMARY KEY,
16> first_name VARCHAR(10),
17> last_name VARCHAR(10),
18> salary DECIMAL(10,2),
19> start_Date DATETIME,
20> region VARCHAR(10),
21> city VARCHAR(20)
22> );
23> GO
1> INSERT INTO employee VALUES (1, "Jason" , "Martin", 5890,"2005-03-22","North","Vancouver");
2> GO
(1 rows affected)
1> INSERT INTO employee VALUES (2, "Alison", "Mathews",4789,"2003-07-21","South","Utown");
2> GO
(1 rows affected)
1> INSERT INTO employee VALUES (3, "James" , "Smith", 6678,"2001-12-01","North","Paris");
2> GO
(1 rows affected)
1> INSERT INTO employee VALUES (4, "Celia" , "Rice", 5567,"2006-03-03","South","London");
2> GO
(1 rows affected)
1> INSERT INTO employee VALUES (5, "Robert", "Black", 4467,"2004-07-02","East","Newton");
2> GO
(1 rows affected)
1> INSERT INTO employee VALUES (6, "Linda" , "Green" , 6456,"2002-05-19","East","Calgary");
2> GO
(1 rows affected)
1> INSERT INTO employee VALUES (7, "David" , "Larry", 5345,"2008-03-18","West","New York");
2> GO
(1 rows affected)
1> INSERT INTO employee VALUES (8, "James" , "Cat", 4234,"2007-07-17","West","Regina");
2> GO
(1 rows affected)
1> INSERT INTO employee VALUES (9, "Joan" , "Act", 6123,"2001-04-16","North","Toronto");
2> GO
(1 rows affected)
1>
2> select * from employee;
3> GO
id first_name last_name salary start_Date region city
----------- ---------- ---------- ------------ ----------------------- ---------- --------------------
1 Jason Martin 5890.00 2005-03-22 00:00:00.000 North Vancouver
2 Alison Mathews 4789.00 2003-07-21 00:00:00.000 South Utown
3 James Smith 6678.00 2001-12-01 00:00:00.000 North Paris
4 Celia Rice 5567.00 2006-03-03 00:00:00.000 South London
5 Robert Black 4467.00 2004-07-02 00:00:00.000 East Newton
6 Linda Green 6456.00 2002-05-19 00:00:00.000 East Calgary
7 David Larry 5345.00 2008-03-18 00:00:00.000 West New York
8 James Cat 4234.00 2007-07-17 00:00:00.000 West Regina
9 Joan Act 6123.00 2001-04-16 00:00:00.000 North Toronto
(9 rows affected)
1>
2>
3>
4>
5> SELECT DISTINCT s.region
6> FROM employee s
7> WHERE EXISTS ( SELECT ID
8> FROM employee
9> WHERE salary BETWEEN 5000 AND 6000)
10>
11>
12>
13>
14> drop table employee;
15> GO
region
----------
East
North
South
West
(4 rows affected)</source>

== Using Subqueries to Check for the Existence of Matches between two tables==



<source lang="sql">
3>
4> CREATE TABLE employee(
5> id INTEGER NOT NULL PRIMARY KEY,
6> first_name VARCHAR(10),
7> last_name VARCHAR(10),
8> salary DECIMAL(10,2),
9> start_Date DATETIME,
10> region VARCHAR(10),
11> city VARCHAR(20)
12> );
13> GO
1> INSERT INTO employee VALUES (1, "Jason" , "Martin", 5890,"2005-03-22","North","Vancouver");
2> INSERT INTO employee VALUES (2, "Alison", "Mathews",4789,"2003-07-21","South","Utown");
3> INSERT INTO employee VALUES (3, "James" , "Smith", 6678,"2001-12-01","North","Paris");
4> INSERT INTO employee VALUES (4, "Celia" , "Rice", 5567,"2006-03-03","South","London");
5> INSERT INTO employee VALUES (5, "Robert", "Black", 4467,"2004-07-02","East","Newton");
6> INSERT INTO employee VALUES (6, "Linda" , "Green" , 6456,"2002-05-19","East","Calgary");
7> INSERT INTO employee VALUES (7, "David" , "Larry", 5345,"2008-03-18","West","New York");
8> INSERT INTO employee VALUES (8, "James" , "Cat", 4234,"2007-07-17","West","Regina");
9> INSERT INTO employee VALUES (9, "Joan" , "Act", 6123,"2001-04-16","North","Toronto");
10> GO
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
1> select * from employee;
2> GO
id first_name last_name salary start_Date region city
----------- ---------- ---------- ------------ ----------------------- ---------- --------------------
1 Jason Martin 5890.00 2005-03-22 00:00:00.000 North Vancouver
2 Alison Mathews 4789.00 2003-07-21 00:00:00.000 South Utown
3 James Smith 6678.00 2001-12-01 00:00:00.000 North Paris
4 Celia Rice 5567.00 2006-03-03 00:00:00.000 South London
5 Robert Black 4467.00 2004-07-02 00:00:00.000 East Newton
6 Linda Green 6456.00 2002-05-19 00:00:00.000 East Calgary
7 David Larry 5345.00 2008-03-18 00:00:00.000 West New York
8 James Cat 4234.00 2007-07-17 00:00:00.000 West Regina
9 Joan Act 6123.00 2001-04-16 00:00:00.000 North Toronto
(9 rows affected)
1>
2> CREATE TABLE title(
3> id INTEGER,
4> job_title VARCHAR(20)
5> );
6> GO
1> INSERT INTO title VALUES (1, "developer");
2> INSERT INTO title VALUES (1, "manager");
3> INSERT INTO title VALUES (2, "tester");
4> INSERT INTO title VALUES (2, "programmer");
5> INSERT INTO title VALUES (3, "boss");
6> INSERT INTO title VALUES (4, "sales");
7> INSERT INTO title VALUES (5, "market");
8> INSERT INTO title VALUES (6, "coder");
9> INSERT INTO title VALUES (7, "tester");
10> INSERT INTO title VALUES (8, "developer");
11> INSERT INTO title VALUES (9, "manager");
12> GO
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
1>
2>
3> SELECT ID, first_name
4> FROM employee
5> WHERE id IN
6> (SELECT id
7> FROM title)
8>
9>
10>
11> drop table employee;
12> drop table title;
13> GO
ID first_name
----------- ----------
1 Jason
2 Alison
3 James
4 Celia
5 Robert
6 Linda
7 David
8 James
9 Joan
(9 rows affected)
1>
2></source>

SQL Server/T-SQL Tutorial/Data Types/bitwise operators

2010-05-26T10:25:38Z

Admin: 1 версия

== Bitwise AND (&)==



<source lang="sql">
Truth Table
& 0 1
0 0 0
1 0 1
Finding Out if the First Bit Is Turned On, Behind the Scenes
10101010 -- 170
&
00000001 -- 1
--------
00000000 -- 0

Finding Out if the Second Bit is Turned On, Using T-SQL
18> SELECT
19> 170 & 2
20> GO
-----------
2
(1 rows affected)</source>

== Bitwise NOT (~)==



<source lang="sql">
Bitwise NOT (~) Truth Table
Value ~
0 1
1 0</source>

== Bitwise NOT (~) Validity Table==



<source lang="sql">
Datatype ~
int valid
binary error
bit valid
NULL NULL
int stands for any of the following integer datatypes: tinyint, smallint, int, and bigint)</source>

== Bitwise OR (|)==



<source lang="sql">
Bitwise OR (|) Truth Table
| 0 1
0 0 1
1 1 1
Combining Multiple Flags Using the Bitwise OR Operator, Behind the Scenes
00000001 -- 1
|
00000010 -- 2
|
00000100 -- 4
|
00001000 -- 8
--------
00001111 -- 1+2+4+8 = 15
Combining Multiple Flags Using the Bitwise OR Operator, in T-SQL
19> SELECT
20> 1 | 2 | 4 | 8
21> GO
-----------
15
(1 rows affected)</source>

== Exclusive Or (^)==



<source lang="sql">
Bitwise XOR (^) Truth Table
^ 0 1
0 0 1
1 1 0</source>

== Legal Bitwise Operation==



<source lang="sql">
27>
28> SELECT
29> CAST(0x00000001 AS int)
30> &
31> 0x00000001
32> GO
-----------
1
(1 rows affected)</source>

== Retrieving Index Properties by Using the Bitwise AND (&) Operator==



<source lang="sql">
40> SELECT
41> object_name([id]) AS table_name,
42> [indid] AS index_id,
43> [name] as index_name,
44> status,
45> CASE
46> WHEN status & 2 = 2 THEN "Yes"
47> ELSE "No"
48> END AS is_unique,
49> CASE
50> WHEN status & 16 = 16 THEN "Yes"
51> ELSE "No"
52> END AS is_clustered,
53> CASE
54> WHEN status & 2048 = 2048 THEN "Yes"
55> ELSE "No"
56> END AS is_PK_CNS,
57> CASE
58> WHEN status & 4096 = 4096 THEN "Yes"
59> ELSE "No"
60> END AS is_UNQ_CNS
61> FROM
62> sysindexes
63> WHERE
64> indid BETWEEN 1 AND 254 -- clustered and nonclustered indexes
65> ORDER BY
66> table_name,
67> index_id
68> GO
table_name
index_id index_name
status is_unique is_clustered is_PK_CNS is_UNQ_CNS
------------------------------------------------------------------------------------------------------------------------
-------- -------- ------------------------------------------------------------------------------------------------------
-------------------------- ----------- --------- ------------ --------- ----------
MSreplication_options
2 _WA_Sys_00000001_4460231C
8388704 No No No No
queue_messages_1003150619
1 queue_clustered_index
18 Yes Yes No No
queue_messages_1003150619
2 queue_secondary_index
2 Yes No No No
queue_messages_1035150733
1 queue_clustered_index
18 Yes Yes No No
queue_messages_1035150733
2 queue_secondary_index
2 Yes No No No
queue_messages_1067150847
1 queue_clustered_index
18 Yes Yes No No
queue_messages_1067150847
2 queue_secondary_index
2 Yes No No No
spt_values
1 spt_valuesclust
18 Yes Yes No No
spt_values
2 ix2_spt_values_nu_nc
0 No No No No
spt_values
3 _WA_Sys_00000001_4277DAAA
8388704 No No No No
sysallocunits
1 clust
18 Yes Yes No No
sysasymkeys
1 cl
18 Yes Yes No No
sysasymkeys
2 nc1
2 Yes No No No
sysasymkeys
3 nc3
2 Yes No No No
sysbinobjs
1 clst
18 Yes Yes No No
sysbinobjs
2 nc1
2 Yes No No No
sysbinsubobjs
1 clst
18 Yes Yes No No
sysbinsubobjs
2 nc1
2 Yes No No No
syscerts
1 cl
18 Yes Yes No No
syscerts
2 nc1
2 Yes No No No
syscerts
3 nc2
2 Yes No No No
syscerts
4 nc3
2 Yes No No No
syschildinsts
1 cl
18 Yes Yes No No
sysclsobjs
1 clst
18 Yes Yes No No
sysclsobjs
2 nc
2 Yes No No No
sysclsobjs
11 _WA_Sys_00000002_00000040
8388704 No No No No
sysclsobjs
12 _WA_Sys_00000006_00000040
8388704 No No No No
syscolpars
1 clst
18 Yes Yes No No
syscolpars
2 nc
2 Yes No No No
syscolpars
11 _WA_Sys_00000002_00000029
8388704 No No No No
syscolpars
12 _WA_Sys_0000000B_00000029
8388704 No No No No
syscolpars
13 _WA_Sys_00000003_00000029
8388704 No No No No
syscolpars
14 _WA_Sys_0000000F_00000029
8388704 No No No No
syscolpars
15 _WA_Sys_0000000E_00000029
8388704 No No No No
syscolpars
16 _WA_Sys_00000006_00000029
8388704 No No No No
sysconvgroup
1 clst
18 Yes Yes No No
sysdbfiles
1 clst
18 Yes Yes No No
sysdbfiles
11 _WA_Sys_00000008_0000004C
8388704 No No No No
sysdbfiles
12 _WA_Sys_0000000C_0000004C
8388704 No No No No
sysdbfiles
13 _WA_Sys_0000000D_0000004C
8388704 No No No No
sysdbfiles
14 _WA_Sys_00000002_0000004C
8388704 No No No No
sysdbreg
1 clst
18 Yes Yes No No
sysdbreg
2 nc1
2 Yes No No No
sysdbreg
3 nc2
2 Yes No No No
sysdbreg
11 _WA_Sys_00000004_0000001C
8388704 No No No No
sysdbreg
12 _WA_Sys_00000005_0000001C
8388704 No No No No
sysdbreg
13 _WA_Sys_00000006_0000001C
8388704 No No No No
sysdercv
1 cl
18 Yes Yes No No
sysdesend
1 cl
18 Yes Yes No No
sysendpts
1 clst
18 Yes Yes No No
sysendpts
2 nc1
2 Yes No No No
sysftinds
1 clst
18 Yes Yes No No
sysftinds
11 _WA_Sys_00000003_00000019
8388704 No No No No
sysguidrefs
1 cl
18 Yes Yes No No
sysguidrefs
2 nc
2 Yes No No No
syshobtcolumns
1 clust
18 Yes Yes No No
syshobts
1 clust
18 Yes Yes No No
sysidxstats
1 clst
18 Yes Yes No No
sysidxstats
2 nc
2 Yes No No No
sysidxstats
11 _WA_Sys_00000004_00000036
8388704 No No No No
sysidxstats
12 _WA_Sys_00000002_00000036
8388704 No No No No
sysidxstats
13 _WA_Sys_00000009_00000036
8388704 No No No No
sysidxstats
14 _WA_Sys_00000008_00000036
8388704 No No No No
sysiscols
1 clst
18 Yes Yes No No
syslnklgns
1 cl
18 Yes Yes No No
syslnklgns
11 _WA_Sys_00000002_00000030
8388704 No No No No
syslnklgns
12 _WA_Sys_00000004_00000030
8388704 No No No No
syslogshippers
1 clst
18 Yes Yes No No
sysmultiobjrefs
1 clst
18 Yes Yes No No
sysmultiobjrefs
2 nc1
2 Yes No No No
sysmultiobjrefs
11 _WA_Sys_00000001_0000004B
8388704 No No No No
sysmultiobjrefs
12 _WA_Sys_00000003_0000004B
8388704 No No No No
sysmultiobjrefs
13 _WA_Sys_00000005_0000004B
8388704 No No No No
sysnsobjs
1 clst
18 Yes Yes No No
sysnsobjs
2 nc
2 Yes No No No
sysnsobjs
11 _WA_Sys_00000002_0000002C
8388704 No No No No
sysnsobjs
12 _WA_Sys_00000004_0000002C
8388704 No No No No
sysobjkeycrypts
1 cl
18 Yes Yes No No
sysobjkeycrypts
11 _WA_Sys_00000002_0000005E
8388704 No No No No
sysobjkeycrypts
12 _WA_Sys_00000003_0000005E
8388704 No No No No
sysobjkeycrypts
13 _WA_Sys_00000004_0000005E
8388704 No No No No
sysobjvalues
1 clst
18 Yes Yes No No
sysobjvalues
11 _WA_Sys_00000002_0000003C
8388704 No No No No
sysobjvalues
12 _WA_Sys_00000003_0000003C
8388704 No No No No
sysobjvalues
13 _WA_Sys_00000004_0000003C
8388704 No No No No
sysobjvalues
14 _WA_Sys_00000005_0000003C
8388704 No No No No
sysowners
1 clst
18 Yes Yes No No
sysowners
2 nc1
2 Yes No No No
sysowners
3 nc2
2 Yes No No No
sysowners
11 _WA_Sys_00000003_0000001B
8388704 No No No No
sysprivs
1 clust
18 Yes Yes No No
sysprivs
11 _WA_Sys_00000002_0000001D
8388704 No No No No
sysprivs
12 _WA_Sys_00000004_0000001D
8388704 No No No No
sysprivs
13 _WA_Sys_00000005_0000001D
8388704 No No No No
sysprivs
14 _WA_Sys_00000006_0000001D
8388704 No No No No
sysqnames
1 clst
18 Yes Yes No No
sysqnames
2 nc1
2 Yes No No No
sysremsvcbinds
1 clst
18 Yes Yes No No
sysremsvcbinds
2 nc1
2 Yes No No No
sysremsvcbinds
3 nc2
2 Yes No No No
sysrmtlgns
1 cl
18 Yes Yes No No
sysrmtlgns
11 _WA_Sys_00000003_0000002F
8388704 No No No No
sysrowsetcolumns
1 clust
18 Yes Yes No No
sysrowsetrefs
1 clust
18 Yes Yes No No
sysrowsets
1 clust
18 Yes Yes No No
sysrts
1 clst
18 Yes Yes No No
sysrts
2 nc1
2 Yes No No No
sysrts
3 nc2
2 Yes No No No
sysscalartypes
1 clst
18 Yes Yes No No
sysscalartypes
2 nc1
2 Yes No No No
sysscalartypes
3 nc2
2 Yes No No No
sysschobjs
1 clst
18 Yes Yes No No
sysschobjs
2 nc1
2 Yes No No No
sysschobjs
3 nc2
2 Yes No No No
sysschobjs
4 nc3
0 No No No No
sysschobjs
11 _WA_Sys_00000006_00000022
8388704 No No No No
sysschobjs
12 _WA_Sys_00000008_00000022
8388704 No No No No
sysschobjs
13 _WA_Sys_00000003_00000022
8388704 No No No No
sysserefs
1 clust
18 Yes Yes No No
syssingleobjrefs
1 clst
18 Yes Yes No No
syssingleobjrefs
2 nc1
2 Yes No No No
syssingleobjrefs
11 _WA_Sys_00000001_0000004A
8388704 No No No No
syssingleobjrefs
12 _WA_Sys_00000003_0000004A
8388704 No No No No
syssqlguides
1 clst
18 Yes Yes No No
syssqlguides
2 nc1
2 Yes No No No
syssqlguides
3 nc2
2 Yes No No No
systypedsubobjs
1 clst
18 Yes Yes No No
systypedsubobjs
2 nc
2 Yes No No No
sysusermsgs
1 clst
18 Yes Yes No No
sysusermsgs
11 _WA_Sys_00000002_0000002D
8388704 No No No No
sysusermsgs
12 _WA_Sys_00000003_0000002D
8388704 No No No No
syswebmethods
1 clst
18 Yes Yes No No
sysxlgns
1 cl
18 Yes Yes No No
sysxlgns
2 nc1
2 Yes No No No
sysxlgns
3 nc2
2 Yes No No No
sysxlgns
11 _WA_Sys_00000005_0000002A
8388704 No No No No
sysxmitqueue
1 clst
18 Yes Yes No No
sysxmlcomponent
1 cl
18 Yes Yes No No
sysxmlcomponent
2 nc1
2 Yes No No No
sysxmlfacet
1 cl
18 Yes Yes No No
sysxmlplacement
1 cl
18 Yes Yes No No
sysxmlplacement
2 nc1
2 Yes No No No
sysxprops
1 clust
18 Yes Yes No No
sysxsrvs
1 cl
18 Yes Yes No No
sysxsrvs
2 nc1
2 Yes No No No
sysxsrvs
11 _WA_Sys_00000005_0000002B
8388704 No No No No
(146 rows affected)</source>

== Selecting data using bitwise operators.==



<source lang="sql">
Operator Description
& Bitwise, logical AND
? Bitwise, logical OR
^ Bitwise, logical exclusive OR
~ Bitwise NOT
4>
5>
6>
7> CREATE TABLE tableX (
8> bitPriced BIT,
9> bitCredit_checked BIT,
10> bitAllocated BIT,
11> bitShipped BIT
12> )
13> GO
1>
2> INSERT tableX (bitPriced, bitCredit_checked, bitAllocated, bitShipped) VALUES (1,1,0,0)
3> INSERT tableX (bitPriced, bitCredit_checked, bitAllocated, bitShipped) VALUES (1,0,1,0)
4> INSERT tableX (bitPriced, bitCredit_checked, bitAllocated, bitShipped) VALUES (0,0,0,0)
5> INSERT tableX (bitPriced, bitCredit_checked, bitAllocated, bitShipped) VALUES (1,1,1,0)
6> GO
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
1>
2> SELECT *
3> FROM tableX
4> WHERE bitAllocated ^ bitPriced = 1
5> GO
bitPriced bitCredit_checked bitAllocated bitShipped
--------- ----------------- ------------ ----------
1 1 0 0
(1 rows affected)
1>
2> DROP TABLE tableX
3> GO
1>
2></source>

== Testing numeric values with bitwise operators.==



<source lang="sql">
6>
7> CREATE PROC pr_bitwise
8> AS
9> DECLARE @chvHold INTEGER
10> SELECT @chvHold = 2
11> IF ( @chvHold & 1) = 1
12> BEGIN
13> PRINT "One Selected"
14> RETURN
15> END
16> IF ( @chvHold & 2) = 2
17> BEGIN
18> PRINT "Two Selected"
19> RETURN
20> END
21> IF ( @chvHold & 3) = 3
22> BEGIN
23> PRINT "Three Selected"
24> RETURN
25> END
26> IF ( @chvHold & 4) = 4
27> BEGIN
28> PRINT "Four Selected"
29> RETURN
30> END
31> GO
1>
2> EXEC pr_bitwise
3> GO
Two Selected
1>
2> DROP PROC pr_bitwise
3> GO
1></source>

== The bitwise_and() Scalar Function==



<source lang="sql">
3>
4> CREATE FUNCTION dbo.bitwise_and
5> (
6> @arg1 varbinary(8),
7> @arg2 varbinary(8)
8> ) RETURNS varbinary(8)
9> AS
10> BEGIN
11> DECLARE
12> @result AS varbinary(8000),
13> @numbytes AS int,
14> @curpos AS int
15> SET @result = 0x
16> SET @numbytes = DATALENGTH(@arg2)
17> SET @curpos = 1
18> WHILE @curpos <= @numbytes
19> BEGIN
20> SELECT
21> @result = @result + CAST(SUBSTRING(@arg1, @curpos, 1) &
22> CAST(SUBSTRING(@arg2, @curpos, 1) AS tinyint)
23> AS binary(1))
24> SET @curpos = @curpos + 1
25> END
26> RETURN @result
27> END
28> GO
1> GRANT EXECUTE ON dbo.bitwise_and TO public
2> GO
1>
2> SELECT dbo.bitwise_and(0x00000001000000010000000100000001,
3> 0xffffffffffffffffffffffffffffffff)
4>
5> drop function dbo.bitwise_and
6> GO

------------------------------------------------------------------------------------------------------------------------
------------------------------------------------------------------------------------------------------------------------
------------------------------------------------------------------------------------------------------------------------
------------------------------------------------------------------------------------------------------------------------
----------------------------------
0x0000000100000001

(1 rows affected)
1></source>

== The bitwise_not() Scalar Function==



<source lang="sql">
5>
6> CREATE FUNCTION dbo.bitwise_not
7> (
8> @arg1 varbinary(8)
9> ) RETURNS varbinary(8)
10> AS
11> BEGIN
12> DECLARE
13> @result AS varbinary(8000),
14> @numbytes AS int,
15> @curpos AS int
16> SET @result = 0x
17> SET @numbytes = DATALENGTH(@arg1)
18> SET @curpos = 1
19> WHILE @curpos <= @numbytes
20> BEGIN
21> SELECT
22> @result = @result +
23> CAST(~ CAST(SUBSTRING(@arg1, @curpos, 1)
24> AS tinyint)AS binary(1))
25> SET @curpos = @curpos + 1
26> END
27> RETURN @result
28> END
29> GO
1> GRANT EXECUTE ON dbo.bitwise_not TO public
2> GO
1> SELECT dbo.bitwise_not(0x00000001000000010000000100000001)
2>
3> drop function dbo.bitwise_not
4> GO

------------------------------------------------------------------------------------------------------------------------
------------------------------------------------------------------------------------------------------------------------
------------------------------------------------------------------------------------------------------------------------
------------------------------------------------------------------------------------------------------------------------
----------------------------------
0xFFFFFFFEFFFFFFFE

(1 rows affected)</source>

== The bitwise_or() Scalar Function==



<source lang="sql">
4>
5> CREATE FUNCTION dbo.bitwise_or
6> (
7> @arg1 varbinary(8),
8> @arg2 varbinary(8)
9> ) RETURNS varbinary(8)
10> AS
11> BEGIN
12>
13> DECLARE
14> @result AS varbinary(8),
15> @numbytes AS int,
16> @curpos AS int
17> SET @result = 0x
18> SET @numbytes = DATALENGTH(@arg2)
19> SET @curpos = 1
20> WHILE @curpos <= @numbytes
21> BEGIN
22> SELECT
23> @result = @result + CAST(SUBSTRING(@arg1, @curpos, 1) |
24> CAST(SUBSTRING(@arg2, @curpos, 1)
25> AS tinyint)
26> AS binary(1))
27> SET @curpos = @curpos + 1
28> END
29>
30> RETURN @result
31> END
32> GO
1> GRANT EXECUTE ON dbo.bitwise_or TO public
2> GO
1>
2> SELECT dbo.bitwise_or(0x00000001000000010000000100000001,
3> 0xffffffffffffffffffffffffffffffff)
4>
5> drop function dbo.bitwise_or
6> GO

------------------------------------------------------------------------------------------------------------------------
------------------------------------------------------------------------------------------------------------------------
------------------------------------------------------------------------------------------------------------------------
------------------------------------------------------------------------------------------------------------------------
----------------------------------
0xFFFFFFFFFFFFFFFF

(1 rows affected)
1>
2></source>

== The bitwise_xor() Scalar Function==



<source lang="sql">
5>
6> CREATE FUNCTION dbo.bitwise_xor(
7> @arg1 varbinary(8),
8> @arg2 varbinary(8)
9> ) RETURNS varbinary(8)
10> AS
11> BEGIN
12> DECLARE
13> @result AS varbinary(8),
14> @numbytes AS int,
15> @curpos AS int
16> SET @result = 0x
17> SET @numbytes = DATALENGTH(@arg2)
18> SET @curpos = 1
19> WHILE @curpos <= @numbytes
20> BEGIN
21> SELECT
22> @result = @result + CAST(SUBSTRING(@arg1, @curpos, 1) ^
23> CAST(SUBSTRING(@arg2, @curpos,1)
24> AS tinyint)
25> AS binary(1))
26> SET @curpos = @curpos + 1
27> END
28> RETURN @result
29> END
30> GO
1> GRANT EXECUTE ON dbo.bitwise_xor TO public
2> GO
1>
2> SELECT dbo.bitwise_xor(0x00000001000000010000000100000001,
3> 0xffffffffffffffffffffffffffffffff)
4>
5> drop function dbo.bitwise_xor
6> GO

------------------------------------------------------------------------------------------------------------------------
------------------------------------------------------------------------------------------------------------------------
------------------------------------------------------------------------------------------------------------------------
------------------------------------------------------------------------------------------------------------------------
----------------------------------
0xFFFFFFFEFFFFFFFE

(1 rows affected)
1>
2></source>

SQL Server/T-SQL Tutorial/Data Types

2010-05-26T10:25:38Z

Admin: 1 версия

* [[SQL Server/T-SQL Tutorial/Data Types/Char | Char]]
* [[SQL Server/T-SQL Tutorial/Data Types/Create Type | Create Type]]
* [[SQL Server/T-SQL Tutorial/Data Types/Data type | Data type]]
* [[SQL Server/T-SQL Tutorial/Data Types/FULLTEXT | FULLTEXT]]
* [[SQL Server/T-SQL Tutorial/Data Types/Float | Float]]
* [[SQL Server/T-SQL Tutorial/Data Types/Large Text | Large Text]]
* [[SQL Server/T-SQL Tutorial/Data Types/OPENROWSET | OPENROWSET]]
* [[SQL Server/T-SQL Tutorial/Data Types/READTEXT | READTEXT]]
* [[SQL Server/T-SQL Tutorial/Data Types/SQL_VARIANT | SQL_VARIANT]]
* [[SQL Server/T-SQL Tutorial/Data Types/Smallint | Smallint]]
* [[SQL Server/T-SQL Tutorial/Data Types/TEXTPTR | TEXTPTR]]
* [[SQL Server/T-SQL Tutorial/Data Types/Unicode | Unicode]]
* [[SQL Server/T-SQL Tutorial/Data Types/VARBINARY | VARBINARY]]
* [[SQL Server/T-SQL Tutorial/Data Types/VARCHAR | VARCHAR]]
* [[SQL Server/T-SQL Tutorial/Data Types/WRITETEXT | WRITETEXT]]
* [[SQL Server/T-SQL Tutorial/Data Types/bigint | bigint]]
* [[SQL Server/T-SQL Tutorial/Data Types/bit | bit]]
* [[SQL Server/T-SQL Tutorial/Data Types/bitwise operators | bitwise operators]]
* [[SQL Server/T-SQL Tutorial/Data Types/collate | collate]]
* [[SQL Server/T-SQL Tutorial/Data Types/datetime | datetime]]
* [[SQL Server/T-SQL Tutorial/Data Types/decimal | decimal]]
* [[SQL Server/T-SQL Tutorial/Data Types/integer | integer]]
* [[SQL Server/T-SQL Tutorial/Data Types/money | money]]
* [[SQL Server/T-SQL Tutorial/Data Types/nVarChar | nVarChar]]
* [[SQL Server/T-SQL Tutorial/Data Types/nchar | nchar]]
* [[SQL Server/T-SQL Tutorial/Data Types/smalldatetime | smalldatetime]]
* [[SQL Server/T-SQL Tutorial/Data Types/text | text]]
* [[SQL Server/T-SQL Tutorial/Data Types/timestamp | timestamp]]

SQL Server/T-SQL Tutorial/Data Types/WRITETEXT

2010-05-26T10:25:37Z

Admin: 1 версия

== WRITETEXT with a properly protected text pointer==



<source lang="sql">
4> CREATE TABLE pub_info
5> (
6> pub_id char(4) NOT NULL,
7> logo image NULL,
8> pr_info text NULL
9> )
10> GO
1>
2> BEGIN TRAN
3> DECLARE @mytextptr varbinary(16)
4> SELECT @mytextptr=TEXTPTR(pr_info)
5> FROM pub_info (UPDLOCK) WHERE pub_id="9999"
6> IF @mytextptr IS NOT NULL
7> WRITETEXT pub_info.pr_info @mytextptr "Hello Again"
8> COMMIT TRAN
9>
10> GO
1>
2> drop table pub_info;
3> GO
1>
2></source>

SQL Server/T-SQL Tutorial/Data Types/Data type

2010-05-26T10:25:37Z

Admin: 1 версия

== Datatype equivalents from PL/SQL to T-SQL.==



<source lang="sql">
PL/SQL Datatype T-SQL Datatype
NUMBER or DECIMAL DECIMAL or NUMERIC
FLOAT FLOAT
REAL REAL
NUMBER MONEY, SMALLMONEY
LONG DECIMAL or NUMERIC
INTEGER, BINARY_ INTEGER, PLS_ INTEGER INTEGER
SMALLINT SMALLINT
NUMBER or DECIMAL TINYINT
DOUBLE PRECISION DOUBLE PRECISION
NATURAL DECIMAL or NUMERIC
NATURALN DECIMAL or NUMERIC
POSITIVE DECIMAL or NUMERIC
POSITIVEN DECIMAL or NUMERIC
CHAR, CHARACTER CHAR, CHARACTER
VARCHAR, STRING VARCHAR
VARCHAR2 VARCHAR
RAW, LONG RAW TEXT, IMAGE
DATE DATETIME, SMALLDATETIME
BOOLEAN BIT
ROWID TIMESTAMP</source>

SQL Server/T-SQL Tutorial/Data Types/nchar

2010-05-26T10:25:37Z

Admin: 1 версия

== Specifying Table Columns with Unicode Data Types==



<source lang="sql">
6> IF EXISTS(SELECT name FROM sys.tables
7> WHERE name = "T")
8> DROP TABLE T
9> GO
1> CREATE TABLE T (
2> c1 int,
3> c2 nchar(24),
4> c3 nchar(4000)
5> )
6> GO</source>

SQL Server/T-SQL Tutorial/Data Types/datetime

2010-05-26T10:25:36Z

Admin: 1 версия

== A BETWEEN phrase with literal values==



<source lang="sql">
4>
5> create table Billings (
6> BankerID INTEGER,
7> BillingNumber INTEGER,
8> BillingDate datetime,
9> BillingTotal INTEGER,
10> TermsID INTEGER,
11> BillingDueDate datetime ,
12> PaymentTotal INTEGER,
13> CreditTotal INTEGER
14>
15> );
16> GO
1>
2> INSERT INTO Billings VALUES (1, 1, "2005-01-22", 165, 1,"2005-04-22",123,321);
3> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (2, 2, "2001-02-21", 165, 1,"2002-02-22",123,321);
2> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (3, 3, "2003-05-02", 165, 1,"2005-04-12",123,321);
2> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (4, 4, "1999-03-12", 165, 1,"2005-04-18",123,321);
2> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (5, 5, "2000-04-23", 165, 1,"2005-04-17",123,321);
2> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (6, 6, "2001-06-14", 165, 1,"2005-04-18",123,321);
2> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (7, 7, "2002-07-15", 165, 1,"2005-04-19",123,321);
2> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (8, 8, "2003-08-16", 165, 1,"2005-04-20",123,321);
2> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (9, 9, "2004-09-17", 165, 1,"2005-04-21",123,321);
2> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (0, 0, "2005-10-18", 165, 1,"2005-04-22",123,321);
2> GO
(1 rows affected)
1>
2>
3> select * from Billings WHERE BillingDate BETWEEN "2002-05-01" AND "2002-05-31"
4> GO
BankerID BillingNumber BillingDate BillingTotal TermsID BillingDueDate PaymentTotal CreditTotal
----------- ------------- ----------------------- ------------ ----------- ----------------------- ------------ -----------
(0 rows affected)
1>
2>
3> drop table Billings;
4> GO
1></source>

== Add integer and float number to a date value==



<source lang="sql">
4> create table Billings (
5> BankerID INTEGER,
6> BillingNumber INTEGER,
7> BillingDate datetime,
8> BillingTotal INTEGER,
9> TermsID INTEGER,
10> BillingDueDate datetime ,
11> PaymentTotal INTEGER,
12> CreditTotal INTEGER
13>
14> );
15> GO
1>
2> INSERT INTO Billings VALUES (1, 1, "2005-01-22", 165, 1,"2005-04-22",123,321);
3> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (2, 2, "2001-02-21", 165, 1,"2002-02-22",123,321.);
2> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (3, 3, "2003-05-02", 165, 1,"2005-04-12",123,321);
2> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (4, 4, "1999-03-12", 165, 1,"2005-04-18",123,321);
2> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (5, 5, "2000-04-23", 165, 1,"2005-04-17",123,321);
2> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (6, 6, "2001-06-14", 165, 1,"2005-04-18",123,321);
2> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (7, 7, "2002-07-15", 165, 1,"2005-04-19",123,321);
2> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (8, 8, "2003-08-16", 165, 1,"2005-04-20",123,321);
2> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (9, 9, "2004-09-17", 165, 1,"2005-04-21",123,321);
2> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (0, 0, "2005-10-18", 165, 1,"2005-04-22",123,321);
2> GO
(1 rows affected)
1>
2>
3> SELECT
4> BillingDate + 9 "BillingDate + 9",
5> BillingDate + .5 "BillingDate + .5"
6> FROM Billings
7> GO
BillingDate + 9 BillingDate + .5
----------------------- -----------------------
2005-01-31 00:00:00.000 2005-01-22 12:00:00.000
2001-03-02 00:00:00.000 2001-02-21 12:00:00.000
2003-05-11 00:00:00.000 2003-05-02 12:00:00.000
1999-03-21 00:00:00.000 1999-03-12 12:00:00.000
2000-05-02 00:00:00.000 2000-04-23 12:00:00.000
2001-06-23 00:00:00.000 2001-06-14 12:00:00.000
2002-07-24 00:00:00.000 2002-07-15 12:00:00.000
2003-08-25 00:00:00.000 2003-08-16 12:00:00.000
2004-09-26 00:00:00.000 2004-09-17 12:00:00.000
2005-10-27 00:00:00.000 2005-10-18 12:00:00.000
(10 rows affected)
1>
2>
3> drop table Billings;
4> GO</source>

== An UPDATE statement that assigns new values to datetime column with string value==



<source lang="sql">
2>
3> create table Billings (
4> BankerID INTEGER,
5> BillingNumber INTEGER,
6> BillingDate datetime,
7> BillingTotal INTEGER,
8> TermsID INTEGER,
9> BillingDueDate datetime ,
10> PaymentTotal INTEGER,
11> CreditTotal INTEGER
12>
13> );
14> GO
1>
2> INSERT INTO Billings VALUES (1, 1, "2005-01-22", 165, 1,"2005-04-22",123,321);
3> GO
(1 rows affected)
1>
2>
3> INSERT INTO Billings VALUES (2, 2, "2001-02-21", 165, 1,"2002-02-22",123,321);
4> GO
(1 rows affected)
1>
2>
3> INSERT INTO Billings VALUES (3, 3, "2003-05-02", 165, 1,"2005-04-12",123,321);
4> GO
(1 rows affected)
1>
2>
3> INSERT INTO Billings VALUES (4, 4, "1999-03-12", 165, 1,"2005-04-18",123,321);
4> GO
(1 rows affected)
1>
2>
3> INSERT INTO Billings VALUES (5, 5, "2000-04-23", 165, 1,"2005-04-17",123,321);
4> GO
(1 rows affected)
1>
2>
3> INSERT INTO Billings VALUES (6, 6, "2001-06-14", 165, 1,"2005-04-18",123,321);
4> GO
(1 rows affected)
1>
2>
3> INSERT INTO Billings VALUES (7, 7, "2002-07-15", 165, 1,"2005-04-19",123,321);
4> GO
(1 rows affected)
1>
2>
3> INSERT INTO Billings VALUES (8, 8, "2003-08-16", 165, 1,"2005-04-20",123,321);
4> GO
(1 rows affected)
1>
2>
3> INSERT INTO Billings VALUES (9, 9, "2004-09-17", 165, 1,"2005-04-21",123,321);
4> GO
(1 rows affected)
1>
2>
3> INSERT INTO Billings VALUES (0, 0, "2005-10-18", 165, 1,"2005-04-22",123,321);
4> GO
(1 rows affected)
1>
2>
3>
4> UPDATE Billings
5> SET BillingDate = "2002-09-21",
6> PaymentTotal = 19351.18
7> WHERE BillingNumber = "2"
8> GO
(1 rows affected)
1>
2>
3> drop table Billings;
4> GO</source>

== A SELECT statement that ignores date values==



<source lang="sql">
4>
5> create table Billings (
6> BankerID INTEGER,
7> BillingNumber INTEGER,
8> BillingDate datetime,
9> BillingTotal INTEGER,
10> TermsID INTEGER,
11> BillingDueDate datetime ,
12> PaymentTotal INTEGER,
13> CreditTotal INTEGER
14>
15> );
16> GO
1>
2> INSERT INTO Billings VALUES (1, 1, "2005-01-22", 165, 1,"2005-04-22",123,321);
3> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (2, 2, "2001-02-21", 165, 1,"2002-02-22",123,321.);
2> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (3, 3, "2003-05-02", 165, 1,"2005-04-12",123,321);
2> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (4, 4, "1999-03-12", 165, 1,"2005-04-18",123,321);
2> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (5, 5, "2000-04-23", 165, 1,"2005-04-17",123,321);
2> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (6, 6, "2001-06-14", 165, 1,"2005-04-18",123,321);
2> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (7, 7, "2002-07-15", 165, 1,"2005-04-19",123,321);
2> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (8, 8, "2003-08-16", 165, 1,"2005-04-20",123,321);
2> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (9, 9, "2004-09-17", 165, 1,"2005-04-21",123,321);
2> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (0, 0, "2005-10-18", 165, 1,"2005-04-22",123,321);
2> GO
(1 rows affected)
1>
2> SELECT *, CAST(CONVERT(char(12), BillingDueDate, 8) AS datetime) AS TimeOnly
3> FROM Billings
4> WHERE CAST(CONVERT(char(12), BillingDueDate, 8) AS datetime) >= "09:00:00" AND
5> CAST(CONVERT(char(12), BillingDueDate, 8) AS datetime) < "12:59:59:999"
6>
7> GO
BankerID BillingNumber BillingDate BillingTotal TermsID BillingDueDate PaymentTotal CreditTotal TimeOnly
----------- ------------- ----------------------- ------------ ----------- ----------------------- ------------ ----------- -----------------------
(0 rows affected)
1>
2> drop table Billings;
3> GO
1></source>

== A SELECT statement that searches for month, day, and year components==



<source lang="sql">
5>
6> create table Billings (
7> BankerID INTEGER,
8> BillingNumber INTEGER,
9> BillingDate datetime,
10> BillingTotal INTEGER,
11> TermsID INTEGER,
12> BillingDueDate datetime ,
13> PaymentTotal INTEGER,
14> CreditTotal INTEGER
15>
16> );
17> GO
1>
2> INSERT INTO Billings VALUES (1, 1, "2005-01-22", 165, 1,"2005-04-22",123,321);
3> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (2, 2, "2001-02-21", 165, 1,"2002-02-22",123,321.);
2> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (3, 3, "2003-05-02", 165, 1,"2005-04-12",123,321);
2> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (4, 4, "1999-03-12", 165, 1,"2005-04-18",123,321);
2> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (5, 5, "2000-04-23", 165, 1,"2005-04-17",123,321);
2> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (6, 6, "2001-06-14", 165, 1,"2005-04-18",123,321);
2> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (7, 7, "2002-07-15", 165, 1,"2005-04-19",123,321);
2> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (8, 8, "2003-08-16", 165, 1,"2005-04-20",123,321);
2> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (9, 9, "2004-09-17", 165, 1,"2005-04-21",123,321);
2> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (0, 0, "2005-10-18", 165, 1,"2005-04-22",123,321);
2> GO
(1 rows affected)
1> SELECT * FROM Billings
2> WHERE MONTH(BillingDueDate) = 2 AND DAY(BillingDueDate) = 28
3> AND YEAR(BillingDueDate) = 1992
4>
5>
6> GO
BankerID BillingNumber BillingDate BillingTotal TermsID BillingDueDate PaymentTotal CreditTotal
----------- ------------- ----------------------- ------------ ----------- ----------------------- ------------ -----------
(0 rows affected)
1>
2> drop table Billings;
3> GO
1></source>

== A SELECT statement that uses the CAST function to remove time values==



<source lang="sql">
4>
5> create table Billings (
6> BankerID INTEGER,
7> BillingNumber INTEGER,
8> BillingDate datetime,
9> BillingTotal INTEGER,
10> TermsID INTEGER,
11> BillingDueDate datetime ,
12> PaymentTotal INTEGER,
13> CreditTotal INTEGER
14>
15> );
16> GO
1>
2> INSERT INTO Billings VALUES (1, 1, "2005-01-22", 165, 1,"2005-04-22",123,321);
3> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (2, 2, "2001-02-21", 165, 1,"2002-02-22",123,321.);
2> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (3, 3, "2003-05-02", 165, 1,"2005-04-12",123,321);
2> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (4, 4, "1999-03-12", 165, 1,"2005-04-18",123,321);
2> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (5, 5, "2000-04-23", 165, 1,"2005-04-17",123,321);
2> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (6, 6, "2001-06-14", 165, 1,"2005-04-18",123,321);
2> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (7, 7, "2002-07-15", 165, 1,"2005-04-19",123,321);
2> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (8, 8, "2003-08-16", 165, 1,"2005-04-20",123,321);
2> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (9, 9, "2004-09-17", 165, 1,"2005-04-21",123,321);
2> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (0, 0, "2005-10-18", 165, 1,"2005-04-22",123,321);
2> GO
(1 rows affected)
1>
2>
3> SELECT *, CAST(CAST(BillingDueDate AS char(11)) AS datetime) AS DateOnly
4> FROM Billings
5> WHERE CAST(CAST(BillingDueDate AS char(11)) AS datetime) = "1992-02-28"
6>
7> GO
BankerID BillingNumber BillingDate BillingTotal TermsID BillingDueDate PaymentTotal CreditTotal DateOnly
----------- ------------- ----------------------- ------------ ----------- ----------------------- ------------ ----------- -----------------------
(0 rows affected)
1>
2> drop table Billings;
3> GO</source>

== A SELECT statement that uses the CONVERT function to remove time values==



<source lang="sql">
4>
5>
6> create table Billings (
7> BankerID INTEGER,
8> BillingNumber INTEGER,
9> BillingDate datetime,
10> BillingTotal INTEGER,
11> TermsID INTEGER,
12> BillingDueDate datetime ,
13> PaymentTotal INTEGER,
14> CreditTotal INTEGER
15>
16> );
17> GO
1>
2> INSERT INTO Billings VALUES (1, 1, "2005-01-22", 165, 1,"2005-04-22",123,321);
3> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (2, 2, "2001-02-21", 165, 1,"2002-02-22",123,321.);
2> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (3, 3, "2003-05-02", 165, 1,"2005-04-12",123,321);
2> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (4, 4, "1999-03-12", 165, 1,"2005-04-18",123,321);
2> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (5, 5, "2000-04-23", 165, 1,"2005-04-17",123,321);
2> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (6, 6, "2001-06-14", 165, 1,"2005-04-18",123,321);
2> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (7, 7, "2002-07-15", 165, 1,"2005-04-19",123,321);
2> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (8, 8, "2003-08-16", 165, 1,"2005-04-20",123,321);
2> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (9, 9, "2004-09-17", 165, 1,"2005-04-21",123,321);
2> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (0, 0, "2005-10-18", 165, 1,"2005-04-22",123,321);
2> GO
(1 rows affected)
1>
2>
3> SELECT *, CAST(CONVERT(char(10), BillingDueDate, 110) AS datetime) AS DateOnly
4> FROM Billings
5> WHERE CAST(CONVERT(char(10), BillingDueDate, 110) AS datetime) = "1992-02-28"
6>
7> GO
BankerID BillingNumber BillingDate BillingTotal TermsID BillingDueDate PaymentTotal CreditTotal DateOnly
----------- ------------- ----------------------- ------------ ----------- ----------------------- ------------ ----------- -----------------------
(0 rows affected)
1>
2> drop table Billings;
3> GO
1></source>

== Between date==



<source lang="sql">
3> IF OBJECT_ID("dbo.Sessions") IS NOT NULL
4> DROP TABLE dbo.Sessions;
5> GO
1>
2> CREATE TABLE dbo.Sessions
3> (
4> keycol INT NOT NULL IDENTITY PRIMARY KEY,
5> app VARCHAR(10) NOT NULL,
6> usr VARCHAR(10) NOT NULL,
7> starttime DATETIME NOT NULL,
8> endtime DATETIME NOT NULL,
9> CHECK(endtime > starttime)
10> );
11> GO
1>
2> INSERT INTO dbo.Sessions(app, usr, starttime, endtime) VALUES("app1", "user1", "20060212 08:30", "20060212 10:30");
3> INSERT INTO dbo.Sessions(app, usr, starttime, endtime) VALUES("app1", "user2", "20060212 08:30", "20060212 08:45");
4> INSERT INTO dbo.Sessions(app, usr, starttime, endtime) VALUES("app1", "user1", "20060212 09:00", "20060212 09:30");
5> INSERT INTO dbo.Sessions(app, usr, starttime, endtime) VALUES("app1", "user2", "20060212 09:15", "20060212 10:30");
6> INSERT INTO dbo.Sessions(app, usr, starttime, endtime) VALUES("app1", "user1", "20060212 09:15", "20060212 09:30");
7> INSERT INTO dbo.Sessions(app, usr, starttime, endtime) VALUES("app1", "user2", "20060212 10:30", "20060212 14:30");
8> INSERT INTO dbo.Sessions(app, usr, starttime, endtime) VALUES("app1", "user1", "20060212 10:45", "20060212 11:30");
9> INSERT INTO dbo.Sessions(app, usr, starttime, endtime) VALUES("app1", "user2", "20060212 11:00", "20060212 12:30");
10> INSERT INTO dbo.Sessions(app, usr, starttime, endtime) VALUES("app2", "user1", "20060212 08:30", "20060212 08:45");
11> INSERT INTO dbo.Sessions(app, usr, starttime, endtime) VALUES("app2", "user2", "20060212 09:00", "20060212 09:30");
12> INSERT INTO dbo.Sessions(app, usr, starttime, endtime) VALUES("app2", "user1", "20060212 11:45", "20060212 12:00");
13> INSERT INTO dbo.Sessions(app, usr, starttime, endtime) VALUES("app2", "user2", "20060212 12:30", "20060212 14:00");
14> INSERT INTO dbo.Sessions(app, usr, starttime, endtime) VALUES("app2", "user1", "20060212 12:45", "20060212 13:30");
15> INSERT INTO dbo.Sessions(app, usr, starttime, endtime) VALUES("app2", "user2", "20060212 13:00", "20060212 14:00");
16> INSERT INTO dbo.Sessions(app, usr, starttime, endtime) VALUES("app2", "user1", "20060212 14:00", "20060212 16:30");
17> INSERT INTO dbo.Sessions(app, usr, starttime, endtime) VALUES("app2", "user2", "20060212 15:30", "20060212 17:00");
18> GO
1>
2> SELECT S1.app, S1.usr,
3> S1.keycol AS key1, S1.starttime AS start1, S1.endtime AS end1,
4> S2.keycol AS key2, S2.starttime AS start2, S2.endtime AS end2
5> FROM dbo.Sessions AS S1
6> JOIN dbo.Sessions AS S2
7> ON S2.app = S1.app
8> AND S2.usr = S1.usr
9> AND (S2.starttime BETWEEN S1.starttime AND S1.endtime
10> OR S1.starttime BETWEEN S2.starttime AND S2.endtime);
11> GO
app usr key1 start1 end1 key2 start2 end2
---------- ---------- ----------- ----------------------- ----------------------- ----------- ----------------------- -----------------------
app1 user1 1 2006-02-12 08:30:00.000 2006-02-12 10:30:00.000 1 2006-02-12 08:30:00.000 2006-02-12 10:30:00.000
app1 user1 3 2006-02-12 09:00:00.000 2006-02-12 09:30:00.000 1 2006-02-12 08:30:00.000 2006-02-12 10:30:00.000
app1 user1 5 2006-02-12 09:15:00.000 2006-02-12 09:30:00.000 1 2006-02-12 08:30:00.000 2006-02-12 10:30:00.000
app1 user2 2 2006-02-12 08:30:00.000 2006-02-12 08:45:00.000 2 2006-02-12 08:30:00.000 2006-02-12 08:45:00.000
app1 user1 1 2006-02-12 08:30:00.000 2006-02-12 10:30:00.000 3 2006-02-12 09:00:00.000 2006-02-12 09:30:00.000
app1 user1 3 2006-02-12 09:00:00.000 2006-02-12 09:30:00.000 3 2006-02-12 09:00:00.000 2006-02-12 09:30:00.000
app1 user1 5 2006-02-12 09:15:00.000 2006-02-12 09:30:00.000 3 2006-02-12 09:00:00.000 2006-02-12 09:30:00.000
app1 user2 4 2006-02-12 09:15:00.000 2006-02-12 10:30:00.000 4 2006-02-12 09:15:00.000 2006-02-12 10:30:00.000
app1 user2 6 2006-02-12 10:30:00.000 2006-02-12 14:30:00.000 4 2006-02-12 09:15:00.000 2006-02-12 10:30:00.000
app1 user1 1 2006-02-12 08:30:00.000 2006-02-12 10:30:00.000 5 2006-02-12 09:15:00.000 2006-02-12 09:30:00.000
app1 user1 3 2006-02-12 09:00:00.000 2006-02-12 09:30:00.000 5 2006-02-12 09:15:00.000 2006-02-12 09:30:00.000
app1 user1 5 2006-02-12 09:15:00.000 2006-02-12 09:30:00.000 5 2006-02-12 09:15:00.000 2006-02-12 09:30:00.000
app1 user2 4 2006-02-12 09:15:00.000 2006-02-12 10:30:00.000 6 2006-02-12 10:30:00.000 2006-02-12 14:30:00.000
app1 user2 6 2006-02-12 10:30:00.000 2006-02-12 14:30:00.000 6 2006-02-12 10:30:00.000 2006-02-12 14:30:00.000
app1 user2 8 2006-02-12 11:00:00.000 2006-02-12 12:30:00.000 6 2006-02-12 10:30:00.000 2006-02-12 14:30:00.000
app1 user1 7 2006-02-12 10:45:00.000 2006-02-12 11:30:00.000 7 2006-02-12 10:45:00.000 2006-02-12 11:30:00.000
app1 user2 6 2006-02-12 10:30:00.000 2006-02-12 14:30:00.000 8 2006-02-12 11:00:00.000 2006-02-12 12:30:00.000
app1 user2 8 2006-02-12 11:00:00.000 2006-02-12 12:30:00.000 8 2006-02-12 11:00:00.000 2006-02-12 12:30:00.000
app2 user1 9 2006-02-12 08:30:00.000 2006-02-12 08:45:00.000 9 2006-02-12 08:30:00.000 2006-02-12 08:45:00.000
app2 user2 10 2006-02-12 09:00:00.000 2006-02-12 09:30:00.000 10 2006-02-12 09:00:00.000 2006-02-12 09:30:00.000
app2 user1 11 2006-02-12 11:45:00.000 2006-02-12 12:00:00.000 11 2006-02-12 11:45:00.000 2006-02-12 12:00:00.000
app2 user2 12 2006-02-12 12:30:00.000 2006-02-12 14:00:00.000 12 2006-02-12 12:30:00.000 2006-02-12 14:00:00.000
app2 user2 14 2006-02-12 13:00:00.000 2006-02-12 14:00:00.000 12 2006-02-12 12:30:00.000 2006-02-12 14:00:00.000
app2 user1 13 2006-02-12 12:45:00.000 2006-02-12 13:30:00.000 13 2006-02-12 12:45:00.000 2006-02-12 13:30:00.000
app2 user2 12 2006-02-12 12:30:00.000 2006-02-12 14:00:00.000 14 2006-02-12 13:00:00.000 2006-02-12 14:00:00.000
app2 user2 14 2006-02-12 13:00:00.000 2006-02-12 14:00:00.000 14 2006-02-12 13:00:00.000 2006-02-12 14:00:00.000
app2 user1 15 2006-02-12 14:00:00.000 2006-02-12 16:30:00.000 15 2006-02-12 14:00:00.000 2006-02-12 16:30:00.000
app2 user2 16 2006-02-12 15:30:00.000 2006-02-12 17:00:00.000 16 2006-02-12 15:30:00.000 2006-02-12 17:00:00.000
1>
2> drop table sessions;
3> GO
1>
2></source>

== Billings on or before a specified date==



<source lang="sql">
4>
5>
6> create table Billings (
7> BankerID INTEGER,
8> BillingNumber INTEGER,
9> BillingDate datetime,
10> BillingTotal INTEGER,
11> TermsID INTEGER,
12> BillingDueDate datetime ,
13> PaymentTotal INTEGER,
14> CreditTotal INTEGER
15>
16> );
17> GO
1>
2> INSERT INTO Billings VALUES (1, 1, "2005-01-22", 165, 1,"2005-04-22",123,321);
3> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (2, 2, "2001-02-21", 165, 1,"2002-02-22",123,321);
2> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (3, 3, "2003-05-02", 165, 1,"2005-04-12",123,321);
2> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (4, 4, "1999-03-12", 165, 1,"2005-04-18",123,321);
2> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (5, 5, "2000-04-23", 165, 1,"2005-04-17",123,321);
2> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (6, 6, "2001-06-14", 165, 1,"2005-04-18",123,321);
2> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (7, 7, "2002-07-15", 165, 1,"2005-04-19",123,321);
2> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (8, 8, "2003-08-16", 165, 1,"2005-04-20",123,321);
2> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (9, 9, "2004-09-17", 165, 1,"2005-04-21",123,321);
2> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (0, 0, "2005-10-18", 165, 1,"2005-04-22",123,321);
2> GO
(1 rows affected)
1>
2>
3> select * from Billings WHERE BillingDate <= "2002-05-31"
4> GO
BankerID BillingNumber BillingDate BillingTotal TermsID BillingDueDate PaymentTotal CreditTotal
----------- ------------- ----------------------- ------------ ----------- ----------------------- ------------ -----------
2 2 2001-02-21 00:00:00.000 165 1 2002-02-22 00:00:00.000 123 321
4 4 1999-03-12 00:00:00.000 165 1 2005-04-18 00:00:00.000 123 321
5 5 2000-04-23 00:00:00.000 165 1 2005-04-17 00:00:00.000 123 321
6 6 2001-06-14 00:00:00.000 165 1 2005-04-18 00:00:00.000 123 321
(4 rows affected)
1> drop table Billings;
2> GO</source>

== CAST(OrderDate AS varchar)==



<source lang="sql">
3>
4> CREATE TABLE Orders (
5> OrderID int NOT NULL ,
6> CustomerID nchar (5) NULL ,
7> EmployeeID int NULL ,
8> OrderDate datetime NULL ,
9> RequiredDate datetime NULL ,
10> ShippedDate datetime NULL ,
11> ShipVia int NULL ,
12> Freight money NULL DEFAULT (0),
13> ShipName nvarchar (40) NULL ,
14> ShipAddress nvarchar (60) NULL ,
15> ShipCity nvarchar (15) NULL ,
16> ShipRegion nvarchar (15) NULL ,
17> ShipPostalCode nvarchar (10) NULL ,
18> ShipCountry nvarchar (15) NULL
19> )
20> GO
1> SELECT OrderDate, CAST(OrderDate AS varchar) AS "Converted"
2> FROM Orders
3> WHERE OrderID = 11050
4> GO
OrderDate Converted
----------------------- ------------------------------
(0 rows affected)
1>
2> drop table orders;
3> GO
1></source>

== datetime type==



<source lang="sql">
4>
5>
6> create table Billings (
7> BankerID INTEGER,
8> BillingNumber INTEGER,
9> BillingDate datetime,
10> BillingTotal INTEGER,
11> TermsID INTEGER,
12> BillingDueDate datetime ,
13> PaymentTotal INTEGER,
14> CreditTotal INTEGER
15>
16> );
17> GO
1>
2> INSERT INTO Billings VALUES (1, 1, "2005-01-22", 165, 1,"2005-04-22",123,321);
3> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (2, 2, "2001-02-21", 165, 1,"2002-02-22",123,321);
2> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (3, 3, "2003-05-02", 165, 1,"2005-04-12",123,321);
2> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (4, 4, "1999-03-12", 165, 1,"2005-04-18",123,321);
2> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (5, 5, "2000-04-23", 165, 1,"2005-04-17",123,321);
2> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (6, 6, "2001-06-14", 165, 1,"2005-04-18",123,321);
2> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (7, 7, "2002-07-15", 165, 1,"2005-04-19",123,321);
2> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (8, 8, "2003-08-16", 165, 1,"2005-04-20",123,321);
2> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (9, 9, "2004-09-17", 165, 1,"2005-04-21",123,321);
2> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (0, 0, "2005-10-18", 165, 1,"2005-04-22",123,321);
2> GO
(1 rows affected)
1>
2>
3> drop table Billings;
4> GO
1></source>

== Performing Date Conversions==



<source lang="sql">
3>
4> SELECT CONVERT(varchar(20), GETDATE(), 101)
5> GO
--------------------
10/19/2007
(1 rows affected)</source>

== SELECT CONVERT(datetime, CONVERT( varchar(11), "2005-37:22.570", 101))==



<source lang="sql">
3>
4> SELECT CONVERT(datetime, CONVERT( varchar(11), "2005-08-13 20:37:22.570", 101))
5> GO
-----------------------
2005-08-13 00:00:00.000
(1 rows affected)</source>

== SET start_Date = GETDATE()==



<source lang="sql">
5> CREATE TABLE employee(
6> id INTEGER NOT NULL PRIMARY KEY,
7> first_name VARCHAR(10),
8> last_name VARCHAR(10),
9> salary DECIMAL(10,2),
10> start_Date DATETIME,
11> region VARCHAR(10),
12> city VARCHAR(20),
13> managerid INTEGER
14> );
15> GO
1> INSERT INTO employee VALUES (1, "Jason" , "Martin", 5890,"2005-03-22","North","Vancouver",3);
2> GO
(1 rows affected)
1> INSERT INTO employee VALUES (2, "Alison", "Mathews",4789,"2003-07-21","South","Utown",4);
2> GO
(1 rows affected)
1> INSERT INTO employee VALUES (3, "James" , "Smith", 6678,"2001-12-01","North","Paris",5);
2> GO
(1 rows affected)
1> INSERT INTO employee VALUES (4, "Celia" , "Rice", 5567,"2006-03-03","South","London",6);
2> GO
(1 rows affected)
1> INSERT INTO employee VALUES (5, "Robert", "Black", 4467,"2004-07-02","East","Newton",7);
2> GO
(1 rows affected)
1> INSERT INTO employee VALUES (6, "Linda" , "Green" , 6456,"2002-05-19","East","Calgary",8);
2> GO
(1 rows affected)
1> INSERT INTO employee VALUES (7, "David" , "Larry", 5345,"2008-03-18","West","New York",9);
2> GO
(1 rows affected)
1> INSERT INTO employee VALUES (8, "James" , "Cat", 4234,"2007-07-17","West","Regina",9);
2> GO
(1 rows affected)
1> INSERT INTO employee VALUES (9, "Joan" , "Act", 6123,"2001-04-16","North","Toronto",10);
2> GO
(1 rows affected)
1>
2> select * from employee;
3> GO
id first_name last_name salary start_Date region city managerid
----------- ---------- ---------- ------------ ----------------------- ---------- -------------------- -----------
1 Jason Martin 5890.00 2005-03-22 00:00:00.000 North Vancouver 3
2 Alison Mathews 4789.00 2003-07-21 00:00:00.000 South Utown 4
3 James Smith 6678.00 2001-12-01 00:00:00.000 North Paris 5
4 Celia Rice 5567.00 2006-03-03 00:00:00.000 South London 6
5 Robert Black 4467.00 2004-07-02 00:00:00.000 East Newton 7
6 Linda Green 6456.00 2002-05-19 00:00:00.000 East Calgary 8
7 David Larry 5345.00 2008-03-18 00:00:00.000 West New York 9
8 James Cat 4234.00 2007-07-17 00:00:00.000 West Regina 9
9 Joan Act 6123.00 2001-04-16 00:00:00.000 North Toronto 10
(9 rows affected)
1>
2>
3> UPDATE Employee
4> SET start_Date = GETDATE()
5>
6>
7> drop table employee;
8> GO
(9 rows affected)
1>
2></source>

== Specify date with string (OrderDate = "7/4/1996")==



<source lang="sql">
4> CREATE TABLE Orders (
5> OrderID int NOT NULL ,
6> CustomerID nchar (5) NULL ,
7> EmployeeID int NULL ,
8> OrderDate datetime NULL ,
9> RequiredDate datetime NULL ,
10> ShippedDate datetime NULL ,
11> ShipVia int NULL ,
12> Freight money NULL DEFAULT (0),
13> ShipName nvarchar (40) NULL ,
14> ShipAddress nvarchar (60) NULL ,
15> ShipCity nvarchar (15) NULL ,
16> ShipRegion nvarchar (15) NULL ,
17> ShipPostalCode nvarchar (10) NULL ,
18> ShipCountry nvarchar (15) NULL
19> )
20> GO
1>
2>
3> CREATE TABLE OrderDetails (
4> OrderID int NOT NULL ,
5> ProductID int NOT NULL ,
6> UnitPrice money NOT NULL DEFAULT (0),
7> Quantity smallint NOT NULL DEFAULT (1),
8> Discount real NOT NULL DEFAULT (0)
9> )
10> GO
1> INSERT OrderDetails VALUES(10248,11,14,12,0)
2> INSERT OrderDetails VALUES(10248,42,9.8,10,0)
3> INSERT OrderDetails VALUES(10248,72,34.8,5,0)
4> INSERT OrderDetails VALUES(10249,14,18.6,9,0)
5> INSERT OrderDetails VALUES(10249,51,42.4,40,0)
6> INSERT OrderDetails VALUES(10250,41,7.7,10,0)
7> INSERT OrderDetails VALUES(10250,51,42.4,35,0.15)
8> INSERT OrderDetails VALUES(10250,65,16.8,15,0.15)
9> INSERT OrderDetails VALUES(10251,22,16.8,6,0.05)
10> INSERT OrderDetails VALUES(10251,57,15.6,15,0.05)
11> go
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
1>
2>
3> SELECT DISTINCT o.OrderDate, od.ProductID
4> FROM Orders o
5> JOIN OrderDetails od
6> ON o.OrderID = od.OrderID
7> WHERE OrderDate = "7/4/1996"
8> GO
OrderDate ProductID
----------------------- -----------
(0 rows affected)
1>
2> drop table orders;
3> drop table OrderDetails;
4> GO</source>

== Store the date and time for a change in a datetime format.==



<source lang="sql">
The CURRENT_TIMESTAMP function returns this value.
4>
5> CREATE TABLE T (
6> int1 int,
7> bit1 bit NOT NULL DEFAULT 0,
8> rvr1 timestamp,
9> usr1 nvarchar(128) DEFAULT USER,
10> createtime datetime DEFAULT CURRENT_TIMESTAMP
11> )
12> GO
1>
2> drop table t;
3></source>

== Use "LIKE pattern" match with a date type value==



<source lang="sql">
8> CREATE TABLE titles(
9> title_id varchar(20),
10> title varchar(80) NOT NULL,
11> type char(12) NOT NULL,
12> pub_id char(4) NULL,
13> price money NULL,
14> advance money NULL,
15> royalty int NULL,
16> ytd_sales int NULL,
17> notes varchar(200) NULL,
18> pubdate datetime NOT NULL
19> )
20> GO
1>
2> insert titles values ("1", "Secrets", "popular_comp", "1389", $20.00, $8000.00, 10, 4095,"Note 1","06/12/94")
3> insert titles values ("2", "The", "business", "1389", $19.99, $5000.00, 10, 4095,"Note 2","06/12/91")
4> insert titles values ("3", "Emotional", "psychology", "0736", $7.99, $4000.00, 10, 3336,"Note 3","06/12/91")
5> insert titles values ("4", "Prolonged", "psychology", "0736", $19.99, $2000.00, 10, 4072,"Note 4","06/12/91")
6> insert titles values ("5", "With", "business", "1389", $11.95, $5000.00, 10, 3876,"Note 5","06/09/91")
7> insert titles values ("6", "Valley", "mod_cook", "0877", $19.99, $0.00, 12, 2032,"Note 6","06/09/91")
8> insert titles values ("7", "Any?", "trad_cook", "0877", $14.99, $8000.00, 10, 4095,"Note 7","06/12/91")
9> insert titles values ("8", "Fifty", "trad_cook", "0877", $11.95, $4000.00, 14, 1509,"Note 8","06/12/91")
10> GO
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
1>
2>
3> select * from titles WHERE pubdate LIKE "Jul 8 1996%"
4> GO
title_id title type pub_id price advance royalty ytd_sales notes
pubdate
-------------------- -------------------------------------------------------------------------------- ------------ ------ --------------------- --------------------- ----------- ----------- ----------
---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- ---------
--------------
(0 rows affected)
1> drop table titles;
2> GO
1>
2></source>

== Using comperison operator with Date value==



<source lang="sql">
6> CREATE TABLE employee(
7> id INTEGER NOT NULL PRIMARY KEY,
8> first_name VARCHAR(10),
9> last_name VARCHAR(10),
10> salary DECIMAL(10,2),
11> start_Date DATETIME,
12> region VARCHAR(10),
13> city VARCHAR(20),
14> managerid INTEGER
15> );
16> GO
1> INSERT INTO employee VALUES (1, "Jason" , "Martin", 5890,"2005-03-22","North","Vancouver",3);
2> GO
(1 rows affected)
1> INSERT INTO employee VALUES (2, "Alison", "Mathews",4789,"2003-07-21","South","Utown",4);
2> GO
(1 rows affected)
1> INSERT INTO employee VALUES (3, "James" , "Smith", 6678,"2001-12-01","North","Paris",5);
2> GO
(1 rows affected)
1> INSERT INTO employee VALUES (4, "Celia" , "Rice", 5567,"2006-03-03","South","London",6);
2> GO
(1 rows affected)
1> INSERT INTO employee VALUES (5, "Robert", "Black", 4467,"2004-07-02","East","Newton",7);
2> GO
(1 rows affected)
1> INSERT INTO employee VALUES (6, "Linda" , "Green" , 6456,"2002-05-19","East","Calgary",8);
2> GO
(1 rows affected)
1> INSERT INTO employee VALUES (7, "David" , "Larry", 5345,"2008-03-18","West","New York",9);
2> GO
(1 rows affected)
1> INSERT INTO employee VALUES (8, "James" , "Cat", 4234,"2007-07-17","West","Regina",9);
2> GO
(1 rows affected)
1> INSERT INTO employee VALUES (9, "Joan" , "Act", 6123,"2001-04-16","North","Toronto",10);
2> GO
(1 rows affected)
1>
2> select * from employee;
3> GO
id first_name last_name salary start_Date region city managerid
----------- ---------- ---------- ------------ ----------------------- ---------- -------------------- -----------
1 Jason Martin 5890.00 2005-03-22 00:00:00.000 North Vancouver 3
2 Alison Mathews 4789.00 2003-07-21 00:00:00.000 South Utown 4
3 James Smith 6678.00 2001-12-01 00:00:00.000 North Paris 5
4 Celia Rice 5567.00 2006-03-03 00:00:00.000 South London 6
5 Robert Black 4467.00 2004-07-02 00:00:00.000 East Newton 7
6 Linda Green 6456.00 2002-05-19 00:00:00.000 East Calgary 8
7 David Larry 5345.00 2008-03-18 00:00:00.000 West New York 9
8 James Cat 4234.00 2007-07-17 00:00:00.000 West Regina 9
9 Joan Act 6123.00 2001-04-16 00:00:00.000 North Toronto 10
(9 rows affected)
1>
2> SELECT First_Name
3> FROM Employee
4> WHERE start_Date >= "1-1-2001" AND start_Date <= "12-31-1985";
5> GO
First_Name
----------
(0 rows affected)
1>
2>
3>
4> drop table employee;
5> GO
1>
2>
3></source>

SQL Server/T-SQL Tutorial/Data Types/decimal

2010-05-26T10:25:36Z

Admin: 1 версия

== CAST(BillingTotal AS dec(12,2))==



<source lang="sql">
5> create table Billings (
6> BankerID INTEGER,
7> BillingNumber INTEGER,
8> BillingDate datetime,
9> BillingTotal INTEGER,
10> TermsID INTEGER,
11> BillingDueDate datetime ,
12> PaymentTotal INTEGER,
13> CreditTotal INTEGER
14>
15> );
16> GO
1>
2> INSERT INTO Billings VALUES (1, 1, "2005-01-22", 165, 1,"2005-04-22",123,321);
3> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (2, 2, "2001-02-21", 165, 1,"2002-02-22",123,321.);
2> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (3, 3, "2003-05-02", 165, 1,"2005-04-12",123,321);
2> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (4, 4, "1999-03-12", 165, 1,"2005-04-18",123,321);
2> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (5, 5, "2000-04-23", 165, 1,"2005-04-17",123,321);
2> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (6, 6, "2001-06-14", 165, 1,"2005-04-18",123,321);
2> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (7, 7, "2002-07-15", 165, 1,"2005-04-19",123,321);
2> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (8, 8, "2003-08-16", 165, 1,"2005-04-20",123,321);
2> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (9, 9, "2004-09-17", 165, 1,"2005-04-21",123,321);
2> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (0, 0, "2005-10-18", 165, 1,"2005-04-22",123,321);
2> GO
(1 rows affected)
1>
2> SELECT CAST(BillingTotal AS dec(12,2)) "YTD Sales"
3> FROM Billings
4> GO
YTD Sales
--------------
165.00
165.00
165.00
165.00
165.00
165.00
165.00
165.00
165.00
165.00
(10 rows affected)
1>
2>
3> drop table Billings;
4> GO
1></source>

== Convert DECIMAL(10,2) to varchar(10)==



<source lang="sql">
4> CREATE TABLE employee(
5> id INTEGER NOT NULL PRIMARY KEY,
6> first_name VARCHAR(10),
7> last_name VARCHAR(10),
8> salary DECIMAL(10,2),
9> start_Date DATETIME,
10> region VARCHAR(10),
11> city VARCHAR(20),
12> managerid INTEGER
13> );
14> GO
1>
2> INSERT INTO employee VALUES (1, "Jason" , "Martin", 5890,"2005-03-22","North","Vancouver",3);
3> GO
(1 rows affected)
1> INSERT INTO employee VALUES (2, "Alison", "Mathews",4789,"2003-07-21","South","Utown",4);
2> GO
(1 rows affected)
1> INSERT INTO employee VALUES (3, "James" , "Smith", 6678,"2001-12-01","North","Paris",5);
2> GO
(1 rows affected)
1> INSERT INTO employee VALUES (4, "Celia" , "Rice", 5567,"2006-03-03","South","London",6);
2> GO
(1 rows affected)
1> INSERT INTO employee VALUES (5, "Robert", "Black", 4467,"2004-07-02","East","Newton",7);
2> GO
(1 rows affected)
1> INSERT INTO employee VALUES (6, "Linda" , "Green" , 6456,"2002-05-19","East","Calgary",8);
2> GO
(1 rows affected)
1> INSERT INTO employee VALUES (7, "David" , "Larry", 5345,"2008-03-18","West","New York",9);
2> GO
(1 rows affected)
1> INSERT INTO employee VALUES (8, "James" , "Cat", 4234,"2007-07-17","West","Regina",9);
2> GO
(1 rows affected)
1> INSERT INTO employee VALUES (9, "Joan" , "Act", 6123,"2001-04-16","North","Toronto",10);
2> GO
(1 rows affected)
1>
2> select * from employee;
3> GO
id first_name last_name salary start_Date region city managerid
----------- ---------- ---------- ------------ ----------------------- ---------- -------------------- -----------
1 Jason Martin 5890.00 2005-03-22 00:00:00.000 North Vancouver 3
2 Alison Mathews 4789.00 2003-07-21 00:00:00.000 South Utown 4
3 James Smith 6678.00 2001-12-01 00:00:00.000 North Paris 5
4 Celia Rice 5567.00 2006-03-03 00:00:00.000 South London 6
5 Robert Black 4467.00 2004-07-02 00:00:00.000 East Newton 7
6 Linda Green 6456.00 2002-05-19 00:00:00.000 East Calgary 8
7 David Larry 5345.00 2008-03-18 00:00:00.000 West New York 9
8 James Cat 4234.00 2007-07-17 00:00:00.000 West Regina 9
9 Joan Act 6123.00 2001-04-16 00:00:00.000 North Toronto 10
(9 rows affected)
1>
2>
3>
4> SELECT ID,First_Name, "The total is $" +
5> CONVERT(varchar(10),salary)
6> FROM
7> employee
8> GO
ID First_Name
----------- ---------- ------------------------
1 Jason The total is $5890.00
2 Alison The total is $4789.00
3 James The total is $6678.00
4 Celia The total is $5567.00
5 Robert The total is $4467.00
6 Linda The total is $6456.00
7 David The total is $5345.00
8 James The total is $4234.00
9 Joan The total is $6123.00
(9 rows affected)
1>
2>
3> drop table employee;
4> GO</source>

== Exact Numbers==



<source lang="sql">
6> Create table Patient (PatientId int,
7> FullName varchar(20),
8> Weight decimal(5,2),
9> Height decimal(5,2),
10> ADP smallint,
11> BDZ tinyint)
12> go
1>
2> --decimal constants do not need delimiters either:
3>
4> insert into Patient (PatientId, FullName, Weight, Height, ADP, BDZ)
5> values (834021, "Tom Jones", 89.5, 188.5, 450, 11)
6> GO
(1 rows affected)
1>
2> select * from Patient;
3> GO
PatientId FullName Weight Height ADP BDZ
----------- -------------------- ------- ------- ------ ---
834021 Tom Jones 89.50 188.50 450 11
(1 rows affected)
1>
2> drop table Patient;
3> GO
1></source>

== Use like to check DECIMAL after converting==



<source lang="sql">
3> CREATE TABLE employee(
4> id INTEGER NOT NULL PRIMARY KEY,
5> first_name VARCHAR(10),
6> last_name VARCHAR(10),
7> salary DECIMAL(10,2),
8> start_Date DATETIME,
9> region VARCHAR(10),
10> city VARCHAR(20),
11> managerid INTEGER
12> );
13> GO
1> INSERT INTO employee VALUES (1, "Jason" , "Martin", 5890,"2005-03-22","North","Vancouver",3);
2> GO
(1 rows affected)
1> INSERT INTO employee VALUES (2, "Alison", "Mathews",4789,"2003-07-21","South","Utown",4);
2> GO
(1 rows affected)
1> INSERT INTO employee VALUES (3, "James" , "Smith", 6678,"2001-12-01","North","Paris",5);
2> GO
(1 rows affected)
1> INSERT INTO employee VALUES (4, "Celia" , "Rice", 5567,"2006-03-03","South","London",6);
2> GO
(1 rows affected)
1> INSERT INTO employee VALUES (5, "Robert", "Black", 4467,"2004-07-02","East","Newton",7);
2> GO
(1 rows affected)
1> INSERT INTO employee VALUES (6, "Linda" , "Green" , 6456,"2002-05-19","East","Calgary",8);
2> GO
(1 rows affected)
1> INSERT INTO employee VALUES (7, "David" , "Larry", 5345,"2008-03-18","West","New York",9);
2> GO
(1 rows affected)
1> INSERT INTO employee VALUES (8, "James" , "Cat", 4234,"2007-07-17","West","Regina",9);
2> GO
(1 rows affected)
1> INSERT INTO employee VALUES (9, "Joan" , "Act", 6123,"2001-04-16","North","Toronto",10);
2> GO
(1 rows affected)
1>
2> select * from employee;
3> GO
id first_name last_name salary start_Date region city managerid
----------- ---------- ---------- ------------ ----------------------- ---------- -------------------- -----------
1 Jason Martin 5890.00 2005-03-22 00:00:00.000 North Vancouver 3
2 Alison Mathews 4789.00 2003-07-21 00:00:00.000 South Utown 4
3 James Smith 6678.00 2001-12-01 00:00:00.000 North Paris 5
4 Celia Rice 5567.00 2006-03-03 00:00:00.000 South London 6
5 Robert Black 4467.00 2004-07-02 00:00:00.000 East Newton 7
6 Linda Green 6456.00 2002-05-19 00:00:00.000 East Calgary 8
7 David Larry 5345.00 2008-03-18 00:00:00.000 West New York 9
8 James Cat 4234.00 2007-07-17 00:00:00.000 West Regina 9
9 Joan Act 6123.00 2001-04-16 00:00:00.000 North Toronto 10
(9 rows affected)
1>
2>
3>
4> SELECT ID, first_name
5> FROM Employee
6> WHERE CAST(Salary as varchar(10)) LIKE "5%"
7> GO
ID first_name
----------- ----------
1 Jason
4 Celia
7 David
(3 rows affected)
1>
2>
3> drop table employee;
4> GO</source>

SQL Server/T-SQL Tutorial/Data Types/VARCHAR

2010-05-26T10:25:34Z

Admin: 1 версия

== City name is Dallas==



<source lang="sql">
5> CREATE TABLE employee(
6> id INTEGER NOT NULL PRIMARY KEY,
7> first_name VARCHAR(10),
8> last_name VARCHAR(10),
9> salary DECIMAL(10,2),
10> start_Date DATETIME,
11> region VARCHAR(10),
12> city VARCHAR(20),
13> managerid INTEGER
14> );
15> GO
1> INSERT INTO employee VALUES (1, "Jason" , "Martin", 5890,"2005-03-22","North","Vancouver",3);
2> GO
(1 rows affected)
1> INSERT INTO employee VALUES (2, "Alison", "Mathews",4789,"2003-07-21","South","Utown",4);
2> GO
(1 rows affected)
1> INSERT INTO employee VALUES (3, "James" , "Smith", 6678,"2001-12-01","North","Paris",5);
2> GO
(1 rows affected)
1> INSERT INTO employee VALUES (4, "Celia" , "Rice", 5567,"2006-03-03","South","London",6);
2> GO
(1 rows affected)
1> INSERT INTO employee VALUES (5, "Robert", "Black", 4467,"2004-07-02","East","Newton",7);
2> GO
(1 rows affected)
1> INSERT INTO employee VALUES (6, "Linda" , "Green" , 6456,"2002-05-19","East","Calgary",8);
2> GO
(1 rows affected)
1> INSERT INTO employee VALUES (7, "David" , "Larry", 5345,"2008-03-18","West","New York",9);
2> GO
(1 rows affected)
1> INSERT INTO employee VALUES (8, "James" , "Cat", 4234,"2007-07-17","West","Regina",9);
2> GO
(1 rows affected)
1> INSERT INTO employee VALUES (9, "Joan" , "Act", 6123,"2001-04-16","North","Toronto",10);
2> GO
(1 rows affected)
1>
2> select * from employee;
3> GO
id first_name last_name salary start_Date region city managerid
----------- ---------- ---------- ------------ ----------------------- ---------- -------------------- -----------
1 Jason Martin 5890.00 2005-03-22 00:00:00.000 North Vancouver 3
2 Alison Mathews 4789.00 2003-07-21 00:00:00.000 South Utown 4
3 James Smith 6678.00 2001-12-01 00:00:00.000 North Paris 5
4 Celia Rice 5567.00 2006-03-03 00:00:00.000 South London 6
5 Robert Black 4467.00 2004-07-02 00:00:00.000 East Newton 7
6 Linda Green 6456.00 2002-05-19 00:00:00.000 East Calgary 8
7 David Larry 5345.00 2008-03-18 00:00:00.000 West New York 9
8 James Cat 4234.00 2007-07-17 00:00:00.000 West Regina 9
9 Joan Act 6123.00 2001-04-16 00:00:00.000 North Toronto 10
(9 rows affected)
1>
2>
3> SELECT ID
4> FROM Employee
5> WHERE city = "Dallas"
6> GO
ID
-----------
(0 rows affected)
1>
2>
3>
4> drop table employee;
5> GO</source>

== CONVERT(varchar(12), OrderDate, 111)==



<source lang="sql">
4>
5> CREATE TABLE Orders (
6> OrderID int NOT NULL ,
7> CustomerID nchar (5) NULL ,
8> EmployeeID int NULL ,
9> OrderDate datetime NULL ,
10> RequiredDate datetime NULL ,
11> ShippedDate datetime NULL ,
12> ShipVia int NULL ,
13> Freight money NULL DEFAULT (0),
14> ShipName nvarchar (40) NULL ,
15> ShipAddress nvarchar (60) NULL ,
16> ShipCity nvarchar (15) NULL ,
17> ShipRegion nvarchar (15) NULL ,
18> ShipPostalCode nvarchar (10) NULL ,
19> ShipCountry nvarchar (15) NULL
20> )
21> GO
1>
2> SELECT OrderDate, CONVERT(varchar(12), OrderDate, 111) AS "Converted"
3> FROM Orders
4> WHERE OrderID = 11050
5> GO
OrderDate Converted
----------------------- ------------
(0 rows affected)
1>
2> drop table orders;
3> GO</source>

== How to concatenate string data==



<source lang="sql">
4>
5> create table Bankers(
6> BankerID Integer,
7> BankerName VARCHAR(20),
8> BankerContactLName VARCHAR(20),
9> BankerContactFName VARCHAR(20),
10> BankerCity VARCHAR(20),
11> BankerState VARCHAR(20),
12> BankerZipCode VARCHAR(20),
13> BankerPhone VARCHAR(20)
14> )
15> GO
1>
2> insert into Bankers values (1, "ABC Inc.","Joe","Smith","Vancouver","BC","11111","111-111-1111");
3> GO
(1 rows affected)
1> insert into Bankers values (2, "DEF Inc.","Red","Rice", "New York", "DE","22222","222-222-2222");
2> GO
(1 rows affected)
1> insert into Bankers values (3, "HJI Inc.","Kit","Cat", "Paris", "CA","33333","333-333-3333");
2> GO
(1 rows affected)
1> insert into Bankers values (4, "QWE Inc.","Git","Black","Regina", "ER","44444","444-444-4444");
2> GO
(1 rows affected)
1> insert into Bankers values (5, "RTY Inc.","Wil","Lee", "Toronto", "YU","55555","555-555-5555");
2> GO
(1 rows affected)
1> insert into Bankers values (6, "YUI Inc.","Ted","Larry","Calgary", "TY","66666","666-666-6666");
2> GO
(1 rows affected)
1> insert into Bankers values (7, "OIP Inc.","Yam","Act", "San Franc","FG","77777","777-777-7777");
2> GO
(1 rows affected)
1> insert into Bankers values (8, "SAD Inc.","Hit","Eat", "Orland", "PO","88888","888-888-8888");
2> GO
(1 rows affected)
1> insert into Bankers values (9, "DFG Inc.","Sad","Lee", "Wisler", "PL","99999","999-999-9999");
2> GO
(1 rows affected)
1> insert into Bankers values (0, "GHJ Inc.","Bit","Lee", "Ticker", "MN","00000","000-000-0000");
2> GO
(1 rows affected)
1>
2>
3> SELECT BankerCity, BankerState, BankerCity + BankerState
4> FROM Bankers
5> GO
BankerCity BankerState
-------------------- -------------------- ----------------------------------------
Vancouver BC VancouverBC
New York DE New YorkDE
Paris CA ParisCA
Regina ER ReginaER
Toronto YU TorontoYU
Calgary TY CalgaryTY
San Franc FG San FrancFG
Orland PO OrlandPO
Wisler PL WislerPL
Ticker MN TickerMN
(10 rows affected)
1>
2> drop table Bankers;
3> GO
1>
2></source>

== How to format string data using literal values==



<source lang="sql">
5>
6>
7> create table Bankers(
8> BankerID Integer,
9> BankerName VARCHAR(20),
10> BankerContactLName VARCHAR(20),
11> BankerContactFName VARCHAR(20),
12> BankerCity VARCHAR(20),
13> BankerState VARCHAR(20),
14> BankerZipCode VARCHAR(20),
15> BankerPhone VARCHAR(20)
16> )
17> GO
1>
2> insert into Bankers values (1, "ABC Inc.","Joe","Smith","Vancouver","BC","11111","111-111-1111");
3> GO
(1 rows affected)
1> insert into Bankers values (2, "DEF Inc.","Red","Rice", "New York", "DE","22222","222-222-2222");
2> GO
(1 rows affected)
1> insert into Bankers values (3, "HJI Inc.","Kit","Cat", "Paris", "CA","33333","333-333-3333");
2> GO
(1 rows affected)
1> insert into Bankers values (4, "QWE Inc.","Git","Black","Regina", "ER","44444","444-444-4444");
2> GO
(1 rows affected)
1> insert into Bankers values (5, "RTY Inc.","Wil","Lee", "Toronto", "YU","55555","555-555-5555");
2> GO
(1 rows affected)
1> insert into Bankers values (6, "YUI Inc.","Ted","Larry","Calgary", "TY","66666","666-666-6666");
2> GO
(1 rows affected)
1> insert into Bankers values (7, "OIP Inc.","Yam","Act", "San Franc","FG","77777","777-777-7777");
2> GO
(1 rows affected)
1> insert into Bankers values (8, "SAD Inc.","Hit","Eat", "Orland", "PO","88888","888-888-8888");
2> GO
(1 rows affected)
1> insert into Bankers values (9, "DFG Inc.","Sad","Lee", "Wisler", "PL","99999","999-999-9999");
2> GO
(1 rows affected)
1> insert into Bankers values (0, "GHJ Inc.","Bit","Lee", "Ticker", "MN","00000","000-000-0000");
2> GO
(1 rows affected)
1>
2>
3>
4> SELECT BankerName,
5> BankerCity + ", " + BankerState + " " + BankerZipCode AS Address
6> FROM Bankers
7> GO
BankerName Address
-------------------- ---------------------------------------------------------------
ABC Inc. Vancouver, BC 11111
DEF Inc. New York, DE 22222
HJI Inc. Paris, CA 33333
QWE Inc. Regina, ER 44444
RTY Inc. Toronto, YU 55555
YUI Inc. Calgary, TY 66666
OIP Inc. San Franc, FG 77777
SAD Inc. Orland, PO 88888
DFG Inc. Wisler, PL 99999
GHJ Inc. Ticker, MN 00000
(10 rows affected)
1>
2> drop table Bankers;
3> GO
1>
2></source>

== How to include apostrophes in literal values==



<source lang="sql">
5>
6>
7> create table Bankers(
8> BankerID Integer,
9> BankerName VARCHAR(20),
10> BankerContactLName VARCHAR(20),
11> BankerContactFName VARCHAR(20),
12> BankerCity VARCHAR(20),
13> BankerState VARCHAR(20),
14> BankerZipCode VARCHAR(20),
15> BankerPhone VARCHAR(20)
16> )
17> GO
1>
2> insert into Bankers values (1, "ABC Inc.","Joe","Smith","Vancouver","BC","11111","111-111-1111");
3> GO
(1 rows affected)
1> insert into Bankers values (2, "DEF Inc.","Red","Rice", "New York", "DE","22222","222-222-2222");
2> GO
(1 rows affected)
1> insert into Bankers values (3, "HJI Inc.","Kit","Cat", "Paris", "CA","33333","333-333-3333");
2> GO
(1 rows affected)
1> insert into Bankers values (4, "QWE Inc.","Git","Black","Regina", "ER","44444","444-444-4444");
2> GO
(1 rows affected)
1> insert into Bankers values (5, "RTY Inc.","Wil","Lee", "Toronto", "YU","55555","555-555-5555");
2> GO
(1 rows affected)
1> insert into Bankers values (6, "YUI Inc.","Ted","Larry","Calgary", "TY","66666","666-666-6666");
2> GO
(1 rows affected)
1> insert into Bankers values (7, "OIP Inc.","Yam","Act", "San Franc","FG","77777","777-777-7777");
2> GO
(1 rows affected)
1> insert into Bankers values (8, "SAD Inc.","Hit","Eat", "Orland", "PO","88888","888-888-8888");
2> GO
(1 rows affected)
1> insert into Bankers values (9, "DFG Inc.","Sad","Lee", "Wisler", "PL","99999","999-999-9999");
2> GO
(1 rows affected)
1> insert into Bankers values (0, "GHJ Inc.","Bit","Lee", "Ticker", "MN","00000","000-000-0000");
2> GO
(1 rows affected)
1>
2>
3> SELECT BankerName + """s Address: ",
4> BankerCity + ", " + BankerState + " " + BankerZipCode
5> FROM Bankers
6> GO
-------------------------------- ---------------------------------------------------------------
ABC Inc."s Address: Vancouver, BC 11111
DEF Inc."s Address: New York, DE 22222
HJI Inc."s Address: Paris, CA 33333
QWE Inc."s Address: Regina, ER 44444
RTY Inc."s Address: Toronto, YU 55555
YUI Inc."s Address: Calgary, TY 66666
OIP Inc."s Address: San Franc, FG 77777
SAD Inc."s Address: Orland, PO 88888
DFG Inc."s Address: Wisler, PL 99999
GHJ Inc."s Address: Ticker, MN 00000
(10 rows affected)
1>
2> drop table Bankers;
3> GO</source>

== Performing String Concatenation==



<source lang="sql">
3>
4> CREATE TABLE employee(
5> id INTEGER NOT NULL PRIMARY KEY,
6> first_name VARCHAR(10),
7> last_name VARCHAR(10),
8> salary DECIMAL(10,2),
9> start_Date DATETIME,
10> region VARCHAR(10),
11> city VARCHAR(20)
12> );
13> GO
1> INSERT INTO employee VALUES (1, "Jason" , "Martin", 5890,"2005-03-22","North","Vancouver");
2> GO
(1 rows affected)
1> INSERT INTO employee VALUES (2, "Alison", "Mathews",4789,"2003-07-21","South","Utown");
2> GO
(1 rows affected)
1> INSERT INTO employee VALUES (3, "James" , "Smith", 6678,"2001-12-01","North","Paris");
2> GO
(1 rows affected)
1> INSERT INTO employee VALUES (4, "Celia" , "Rice", 5567,"2006-03-03","South","London");
2> GO
(1 rows affected)
1> INSERT INTO employee VALUES (5, "Robert", "Black", 4467,"2004-07-02","East","Newton");
2> GO
(1 rows affected)
1> INSERT INTO employee VALUES (6, "Linda" , "Green" , 6456,"2002-05-19","East","Calgary");
2> GO
(1 rows affected)
1> INSERT INTO employee VALUES (7, "David" , "Larry", 5345,"2008-03-18","West","New York");
2> GO
(1 rows affected)
1> INSERT INTO employee VALUES (8, "James" , "Cat", 4234,"2007-07-17","West","Regina");
2> GO
(1 rows affected)
1> INSERT INTO employee VALUES (9, "Joan" , "Act", 6123,"2001-04-16","North","Toronto");
2> GO
(1 rows affected)
1>
2> select * from employee;
3> GO
id first_name last_name salary start_Date region city
----------- ---------- ---------- ------------ ----------------------- ---------- --------------------
1 Jason Martin 5890.00 2005-03-22 00:00:00.000 North Vancouver
2 Alison Mathews 4789.00 2003-07-21 00:00:00.000 South Utown
3 James Smith 6678.00 2001-12-01 00:00:00.000 North Paris
4 Celia Rice 5567.00 2006-03-03 00:00:00.000 South London
5 Robert Black 4467.00 2004-07-02 00:00:00.000 East Newton
6 Linda Green 6456.00 2002-05-19 00:00:00.000 East Calgary
7 David Larry 5345.00 2008-03-18 00:00:00.000 West New York
8 James Cat 4234.00 2007-07-17 00:00:00.000 West Regina
9 Joan Act 6123.00 2001-04-16 00:00:00.000 North Toronto
(9 rows affected)
1>
2>
3>
4> SELECT "The " +
5> p.first_name +
6> " is from " +
7> CONVERT(varchar(25),p.city) +
8> "!"
9> FROM employee p;
10> GO
-------------------------------------------------
The Jason is from Vancouver!
The Alison is from Utown!
The James is from Paris!
The Celia is from London!
The Robert is from Newton!
The Linda is from Calgary!
The David is from New York!
The James is from Regina!
The Joan is from Toronto!
(9 rows affected)
1>
2>
3> drop table employee;
4> GO</source>

== Replace the string "102" located at offset 9 (zero-based) with the string "one hundred and two"==



<source lang="sql">
7> IF OBJECT_ID("dbo.CustomerData") IS NOT NULL
8> DROP TABLE dbo.CustomerData;
9> GO
1>
2> CREATE TABLE dbo.CustomerData
3> (
4> custid INT NOT NULL PRIMARY KEY,
5> txt_data VARCHAR(MAX) NULL,
6> ntxt_data NVARCHAR(MAX) NULL,
7> binary_data VARBINARY(MAX) NULL
8> );
9> GO
1>
2> UPDATE dbo.CustomerData
3> SET txt_data.WRITE("one hundred and two", 9, 3)
4> WHERE custid = 102;
5> GO
1>
2> drop table CustomerData;
3> GO</source>

== Selecting the length of a varchar column.==



<source lang="sql">
6> CREATE TABLE publishers(
7> pub_id char(4) NOT NULL,
8> pub_name varchar(40) NULL,
9> city varchar(20) NULL,
10> state char(2) NULL,
11> country varchar(30) NULL DEFAULT("USA")
12> )
13> GO
1>
2>
3> insert publishers values("1", "Publisher A", "Vancouver", "MA", "USA")
4> insert publishers values("2", "Publisher B", "Washington", "DC", "USA")
5> insert publishers values("3", "Publisher C", "Berkeley", "CA", "USA")
6> insert publishers values("4", "Publisher D", "New York", "NY", "USA")
7> insert publishers values("5", "Publisher E", "Chicago", "IL", "USA")
8> insert publishers values("6", "Publisher F", "Dallas", "TX", "USA")
9> insert publishers values("7", "Publisher G", "Vancouver", "BC", "Canada")
10> insert publishers values("8", "Publisher H", "Paris", NULL, "France")
11> GO
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
1>
2>
3>
4> SELECT DATALENGTH(name)
5> FROM syscolumns
6> WHERE id = OBJECT_ID("publishers")
7> AND name = "pub_id"
8>
9> GO
-----------
12
(1 rows affected)
1>
2> drop table publishers;
3> GO
1></source>

== The IN() Function matches a field to any number of values in a list.==



<source lang="sql">
9> CREATE TABLE employee(
10> id INTEGER NOT NULL PRIMARY KEY,
11> first_name VARCHAR(10),
12> last_name VARCHAR(10),
13> salary DECIMAL(10,2),
14> start_Date DATETIME,
15> region VARCHAR(10),
16> city VARCHAR(20),
17> managerid INTEGER
18> );
19> GO
1> INSERT INTO employee VALUES (1, "Jason" , "Martin", 5890,"2005-03-22","North","Vancouver",3);
2> GO
(1 rows affected)
1> INSERT INTO employee VALUES (2, "Alison", "Mathews",4789,"2003-07-21","South","Utown",4);
2> GO
(1 rows affected)
1> INSERT INTO employee VALUES (3, "James" , "Smith", 6678,"2001-12-01","North","Paris",5);
2> GO
(1 rows affected)
1> INSERT INTO employee VALUES (4, "Celia" , "Rice", 5567,"2006-03-03","South","London",6);
2> GO
(1 rows affected)
1> INSERT INTO employee VALUES (5, "Robert", "Black", 4467,"2004-07-02","East","Newton",7);
2> GO
(1 rows affected)
1> INSERT INTO employee VALUES (6, "Linda" , "Green" , 6456,"2002-05-19","East","Calgary",8);
2> GO
(1 rows affected)
1> INSERT INTO employee VALUES (7, "David" , "Larry", 5345,"2008-03-18","West","New York",9);
2> GO
(1 rows affected)
1> INSERT INTO employee VALUES (8, "James" , "Cat", 4234,"2007-07-17","West","Regina",9);
2> GO
(1 rows affected)
1> INSERT INTO employee VALUES (9, "Joan" , "Act", 6123,"2001-04-16","North","Toronto",10);
2> GO
(1 rows affected)
1>
2> select * from employee;
3> GO
id first_name last_name salary start_Date region city managerid
----------- ---------- ---------- ------------ ----------------------- ---------- -------------------- -----------
1 Jason Martin 5890.00 2005-03-22 00:00:00.000 North Vancouver 3
2 Alison Mathews 4789.00 2003-07-21 00:00:00.000 South Utown 4
3 James Smith 6678.00 2001-12-01 00:00:00.000 North Paris 5
4 Celia Rice 5567.00 2006-03-03 00:00:00.000 South London 6
5 Robert Black 4467.00 2004-07-02 00:00:00.000 East Newton 7
6 Linda Green 6456.00 2002-05-19 00:00:00.000 East Calgary 8
7 David Larry 5345.00 2008-03-18 00:00:00.000 West New York 9
8 James Cat 4234.00 2007-07-17 00:00:00.000 West Regina 9
9 Joan Act 6123.00 2001-04-16 00:00:00.000 North Toronto 10
(9 rows affected)
1>
2>
3> SELECT First_Name FROM Employee
4> WHERE City IN ("Toronto", "Vancouver", "New York");
5> GO
First_Name
----------
Jason
David
Joan
(3 rows affected)
1>
2>
3>
4> drop table employee;
5> GO
1>
2>
3>
4></source>

== To use a string literal or a date literal in a comparison, enclose it in quotes.==



<source lang="sql">
6>
7>
8> create table Bankers(
9> BankerID Integer,
10> BankerName VARCHAR(20),
11> BankerContactLName VARCHAR(20),
12> BankerContactFName VARCHAR(20),
13> BankerCity VARCHAR(20),
14> BankerState VARCHAR(20),
15> BankerZipCode VARCHAR(20),
16> BankerPhone VARCHAR(20)
17> )
18> GO
1>
2> insert into Bankers values (1, "ABC Inc.","Joe","Smith","Vancouver","BC","11111","111-111-1111");
3> GO
(1 rows affected)
1> insert into Bankers values (2, "DEF Inc.","Red","Rice", "New York", "DE","22222","222-222-2222");
2> GO
(1 rows affected)
1> insert into Bankers values (3, "HJI Inc.","Kit","Cat", "Paris", "CA","33333","333-333-3333");
2> GO
(1 rows affected)
1> insert into Bankers values (4, "QWE Inc.","Git","Black","Regina", "ER","44444","444-444-4444");
2> GO
(1 rows affected)
1> insert into Bankers values (5, "RTY Inc.","Wil","Lee", "Toronto", "YU","55555","555-555-5555");
2> GO
(1 rows affected)
1> insert into Bankers values (6, "YUI Inc.","Ted","Larry","Calgary", "TY","66666","666-666-6666");
2> GO
(1 rows affected)
1> insert into Bankers values (7, "OIP Inc.","Yam","Act", "San Franc","FG","77777","777-777-7777");
2> GO
(1 rows affected)
1> insert into Bankers values (8, "SAD Inc.","Hit","Eat", "Orland", "PO","88888","888-888-8888");
2> GO
(1 rows affected)
1> insert into Bankers values (9, "DFG Inc.","Sad","Lee", "Wisler", "PL","99999","999-999-9999");
2> GO
(1 rows affected)
1> insert into Bankers values (0, "GHJ Inc.","Bit","Lee", "Ticker", "MN","00000","000-000-0000");
2> GO
(1 rows affected)
1>
2> select * from Bankers WHERE BankerName < "M"
3> GO
BankerID BankerName BankerContactLName BankerContactFName BankerCity BankerState BankerZipCode BankerPhone
----------- -------------------- -------------------- -------------------- -------------------- -------------------- -------------------- --------------------
1 ABC Inc. Joe Smith Vancouver BC 11111 111-111-1111
2 DEF Inc. Red Rice New York DE 22222 222-222-2222
3 HJI Inc. Kit Cat Paris CA 33333 333-333-3333
9 DFG Inc. Sad Lee Wisler PL 99999 999-999-9999
0 GHJ Inc. Bit Lee Ticker MN 00000 000-000-0000
(5 rows affected)
1>
2> drop table Bankers;
3> GO
1>
2></source>

== Use REPLICATE to fill a varchar type variable==



<source lang="sql">
3> DECLARE @sql1 AS VARCHAR(8000), @sql2 AS VARCHAR(8000), @sql3 AS VARCHAR(8000);
4> SET @sql1 = "PRINT """;
5> SET @sql2 = REPLICATE("A", 7999) + "B";
6> SET @sql3 = """;";
7> EXEC(@sql1 + @sql2 + @sql3);
8>
9>
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAB</source>

== VARCHAR(MAX)==



<source lang="sql">
2> IF OBJECT_ID("dbo.CustomerData") IS NOT NULL
3> DROP TABLE dbo.CustomerData;
4> GO
1>
2> CREATE TABLE dbo.CustomerData
3> (
4> custid INT NOT NULL PRIMARY KEY,
5> txt_data VARCHAR(MAX) NULL,
6> ntxt_data NVARCHAR(MAX) NULL,
7> binary_data VARBINARY(MAX) NULL
8> );
9> GO
1>
2> INSERT INTO dbo.CustomerData(custid, txt_data)
3> VALUES(102, "Customer 102 text data");
4> GO
1>
2> drop table CustomerData;
3> GO</source>

== Varchar type value pattern matching==



<source lang="sql">
5> create table Bankers(
6> BankerID Integer,
7> BankerName VARCHAR(20),
8> BankerContactLName VARCHAR(20),
9> BankerContactFName VARCHAR(20),
10> BankerCity VARCHAR(20),
11> BankerState VARCHAR(20),
12> BankerZipCode VARCHAR(20),
13> BankerPhone VARCHAR(20)
14> )
15> GO
1>
2> insert into Bankers values (1, "ABC Inc.","Joe","Smith","Vancouver","BC","11111","111-111-1111");
3> GO
(1 rows affected)
1> insert into Bankers values (2, "DEF Inc.","Red","Rice", "New York", "DE","22222","222-222-2222");
2> GO
(1 rows affected)
1> insert into Bankers values (3, "HJI Inc.","Kit","Cat", "Paris", "CA","33333","333-333-3333");
2> GO
(1 rows affected)
1> insert into Bankers values (4, "QWE Inc.","Git","Black","Regina", "ER","44444","444-444-4444");
2> GO
(1 rows affected)
1> insert into Bankers values (5, "RTY Inc.","Wil","Lee", "Toronto", "YU","55555","555-555-5555");
2> GO
(1 rows affected)
1> insert into Bankers values (6, "YUI Inc.","Ted","Larry","Calgary", "TY","66666","666-666-6666");
2> GO
(1 rows affected)
1> insert into Bankers values (7, "OIP Inc.","Yam","Act", "San Franc","FG","77777","777-777-7777");
2> GO
(1 rows affected)
1> insert into Bankers values (8, "SAD Inc.","Hit","Eat", "Orland", "PO","88888","888-888-8888");
2> GO
(1 rows affected)
1> insert into Bankers values (9, "DFG Inc.","Sad","Lee", "Wisler", "PL","99999","999-999-9999");
2> GO
(1 rows affected)
1> insert into Bankers values (0, "GHJ Inc.","Bit","Lee", "Ticker", "MN","00000","000-000-0000");
2> GO
(1 rows affected)
1>
2> select * from Bankers WHERE BankerName LIKE "COMPU_ER%"
3> GO
BankerID BankerName BankerContactLName BankerContactFName BankerCity BankerState BankerZipCode BankerPhone
----------- -------------------- -------------------- -------------------- -------------------- -------------------- -------------------- --------------------
(0 rows affected)
1>
2> drop table Bankers;
3> GO</source>

SQL Server/T-SQL Tutorial/Data Types/Char

2010-05-26T10:25:32Z

Admin: 1 версия

== CHAR type column==



<source lang="sql">
2> CREATE TABLE employee (emp_no INTEGER NOT NULL,
3> emp_fname CHAR(20) NOT NULL,
4> emp_lname CHAR(20) NOT NULL,
5> dept_no CHAR(4) NULL)
6>
7> GO
1>
2> drop table employee;
3> GO
1></source>

== Char type keeps the empty spaces==



<source lang="sql">
16> --SET ANSI_PADDING OFF
17>
18> --DROP TABLE checkpad
19> --GO
20>
21> CREATE TABLE checkpad
22> (
23> rowid smallint NOT NULL PRIMARY KEY,
24> c10not char(10) NOT NULL,
25> c10nul char(10) NULL,
26> v10not varchar(10) NOT NULL,
27> v10nul varchar(10) NULL
28> )
29> GO
1> -- Row 1 has names with no trailing blanks
2> INSERT checkpad VALUES (1, "John", "John", "John", "John")
3>
4> -- Row 2 has each name inserted with three trailing blanks
5> INSERT checkpad VALUES
6> (2, "John ", "John ", "John ", "John ")
7>
8> -- Row 3 has each name inserted with a full six trailing blanks
9> INSERT checkpad VALUES
10> (3, "John ", "John ", "John ", "John ")
11>
12> -- Row 4 has each name inserted with seven trailing blanks (too many)
13> INSERT checkpad VALUES
14> (4, "John ", "John ", "John ", "John ")
15> GO
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
1>
2> drop table checkpad
3> GO</source>

== Combine char and varchar type data with "+"==



<source lang="sql">
1>
2>
3>
4>
5> CREATE TABLE authors(
6> au_id varchar(11),
7> au_lname varchar(40) NOT NULL,
8> au_fname varchar(20) NOT NULL,
9> phone char(12) NOT NULL DEFAULT ("UNKNOWN"),
10> address varchar(40) NULL,
11> city varchar(20) NULL,
12> state char(2) NULL,
13> zip char(5) NULL,
14> contract bit NOT NULL
15> )
16> GO
1> insert authors values("1", "Joe", "Abra", "111 111-1111", "6 St.", "Berkeley", "CA", "11111", 1)
2> insert authors values("2", "Jack", "Majo", "222 222-2222", "3 St.", "Oakland" , "CA", "22222", 1)
3> insert authors values("3", "Pink", "Cherry", "333 333-3333", "5 Ln.", "Vancouver", "BC", "33333", 1)
4> insert authors values("4", "Blue", "Albert", "444 444-4444", "7 Av.", "Vancouver", "BC", "44444", 1)
5> insert authors values("5", "Red", "Anne", "555 555-5555", "6 Av.", "Regina", "SK", "55555", 1)
6> insert authors values("6", "Black", "Michel", "666 666-6666", "3 Pl.", "Regina", "SK", "66666", 1)
7> insert authors values("7", "White", "Sylvia", "777 777-7777", "1 Pl.", "Rockville", "MD", "77777", 1)
8> insert authors values("8", "Yellow","Heather","888 888-8888", "3 Pu", "Vacaville", "CA", "88888", 0)
9> insert authors values("9", "Gold", "Dep", "999 999-9999", "5 Av.", "Oakland", "CA", "99999", 0)
10> insert authors values("10", "Siler", "Dean", "000 000-0000", "4 Av.", "Oakland", "CA", "00000", 1)
11> GO
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
1>
2>
3>
4> SELECT "author"=au_lname + ", " + au_fname FROM authors
5> GO
author
--------------------------------------------------------------
Joe, Abra
Jack, Majo
Pink, Cherry
Blue, Albert
Red, Anne
Black, Michel
White, Sylvia
Yellow, Heather
Gold, Dep
Siler, Dean
(10 rows affected)
1>
2> drop table authors;
3> GO
1></source>

== Compare char type data in upper case==



<source lang="sql">
3> CREATE TABLE authors(
4> au_id varchar(11),
5> au_lname varchar(40) NOT NULL,
6> au_fname varchar(20) NOT NULL,
7> phone char(12) NOT NULL DEFAULT ("UNKNOWN"),
8> address varchar(40) NULL,
9> city varchar(20) NULL,
10> state char(2) NULL,
11> zip char(5) NULL,
12> contract bit NOT NULL
13> )
14> GO
1> insert authors values("1", "Joe", "Abra", "111 111-1111", "6 St.", "Berkeley", "CA", "11111", 1)
2> insert authors values("2", "Jack", "Majo", "222 222-2222", "3 St.", "Oakland" , "CA", "22222", 1)
3> insert authors values("3", "Pink", "Cherry", "333 333-3333", "5 Ln.", "Vancouver", "BC", "33333", 1)
4> insert authors values("4", "Blue", "Albert", "444 444-4444", "7 Av.", "Vancouver", "BC", "44444", 1)
5> insert authors values("5", "Red", "Anne", "555 555-5555", "6 Av.", "Regina", "SK", "55555", 1)
6> insert authors values("6", "Black", "Michel", "666 666-6666", "3 Pl.", "Regina", "SK", "66666", 1)
7> insert authors values("7", "White", "Sylvia", "777 777-7777", "1 Pl.", "Rockville", "MD", "77777", 1)
8> insert authors values("8", "Yellow","Heather","888 888-8888", "3 Pu", "Vacaville", "CA", "88888", 0)
9> insert authors values("9", "Gold", "Dep", "999 999-9999", "5 Av.", "Oakland", "CA", "99999", 0)
10> insert authors values("10", "Siler", "Dean", "000 000-0000", "4 Av.", "Oakland", "CA", "00000", 1)
11> GO
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
1>
2> SELECT COUNT(*) FROM authors_CS WHERE UPPER(au_lname)="CARSON"
3> GO
-----------
0
(1 rows affected)
1>
2> drop table authors;
3> GO</source>

SQL Server/T-SQL Tutorial/Data Types/bit

2010-05-26T10:25:31Z

Admin: 1 версия

== bit type column==



<source lang="sql">
6> CREATE TABLE T (
7> int1 int,
8> bit1 bit,
9> varchar1 varchar(3),
10> dec1 dec(5,2),
11> cmp1 AS (int1 + bit1)
12> )
13> GO
1>
2> INSERT T (int1, bit1) VALUES (1, 0)
3> INSERT T (int1, varchar1) VALUES (2, "abc")
4> INSERT T (int1, dec1) VALUES (3, 5.25)
5> INSERT T (bit1, dec1) VALUES (1, 9.75)
6> GO
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
1>
2> drop table t;
3> GO</source>

== bit type column with default value==



<source lang="sql">
6> CREATE TABLE T (
7> int1 int,
8> bit1 bit NOT NULL DEFAULT 0,
9> rvr1 timestamp,
10> usr1 nvarchar(128) DEFAULT USER,
11> createtime datetime DEFAULT CURRENT_TIMESTAMP
12> )
13> GO
1> INSERT T (int1) VALUES (1)
2> WAITFOR DELAY "00:00:01"
3> GO
1>
2> drop table t;
3> GO</source>

== Count non-null bit1 values==



<source lang="sql">
7> CREATE TABLE T (
8> int1 int,
9> bit1 bit,
10> varchar1 varchar(3),
11> dec1 dec(5,2),
12> cmp1 AS (int1 + bit1)
13> )
14> GO
1>
2> INSERT T (int1, bit1) VALUES (1, 0)
3> INSERT T (int1, varchar1) VALUES (2, "abc")
4> INSERT T (int1, dec1) VALUES (3, 5.25)
5> INSERT T (bit1, dec1) VALUES (1, 9.75)
6> GO
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
1>
2> SELECT COUNT(*) "Count of non-null bit1"
3> FROM T
4> WHERE bit1 IS NOT NULL
5> GO
Count of non-null bit1
----------------------
2
(1 rows affected)
1>
2> drop table t;
3> GO
1></source>

== Count null bit1 values==



<source lang="sql">
5> CREATE TABLE T (
6> int1 int,
7> bit1 bit,
8> varchar1 varchar(3),
9> dec1 dec(5,2),
10> cmp1 AS (int1 + bit1)
11> )
12> GO
1>
2> INSERT T (int1, bit1) VALUES (1, 0)
3> INSERT T (int1, varchar1) VALUES (2, "abc")
4> INSERT T (int1, dec1) VALUES (3, 5.25)
5> INSERT T (bit1, dec1) VALUES (1, 9.75)
6> GO
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
1> SELECT COUNT(*) "Count of null bit1"
2> FROM T
3> WHERE bit1 IS NULL
4> GO
Count of null bit1
------------------
2
(1 rows affected)
1>
2> drop table t;
3> GO
1>
2></source>

SQL Server/T-SQL Tutorial/Data Types/VARBINARY

2010-05-26T10:25:29Z

Admin: 1 версия

== Binary Data Types==



<source lang="sql">
6> CREATE TABLE MyTable (
7> Id int,
8> BinData varbinary(8000),
9> Diagram varbinary(max))
10>
11> go
1>
2> Update MyTable
3> Set BinData = 0x82A7210B
4> where Id = 121131
5> GO
(0 rows affected)
1>
2>
3> drop table MyTable;
4> GO
1></source>

== CONVERT (varbinary(8), @today)==



<source lang="sql">
31> DECLARE @today datetime
32> SELECT @today = current_timestamp
33>
34> SELECT @today
35> SELECT CONVERT (varbinary(8), @today)
36> SELECT CONVERT (int, SUBSTRING (CONVERT (varbinary(8), @today), 1, 4))
37> SELECT CONVERT (int, SUBSTRING (CONVERT (varbinary(8), @today), 5, 4))
38> GO
-----------------------
2008-08-17 13:14:21.513
(1 rows affected)

--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
------------------------------------------------------------------------------------------------------------------
0x00009AFB00DA2D56

(1 rows affected)
-----------
39675
(1 rows affected)
-----------
14298454
(1 rows affected)
1></source>

== VARBINARY(MAX)==



<source lang="sql">
2> IF OBJECT_ID("dbo.CustomerData") IS NOT NULL
3> DROP TABLE dbo.CustomerData;
4> GO
1>
2> CREATE TABLE dbo.CustomerData
3> (
4> custid INT NOT NULL PRIMARY KEY,
5> txt_data VARCHAR(MAX) NULL,
6> ntxt_data NVARCHAR(MAX) NULL,
7> binary_data VARBINARY(MAX) NULL
8> );
9> GO
1>
2> INSERT INTO dbo.CustomerData(custid, txt_data)
3> VALUES(102, "Customer 102 text data");
4> GO
1>
2> drop table CustomerData;
3> GO</source>

== VARBINARY type variable==



<source lang="sql">
6> DECLARE @sql AS NVARCHAR(4000),
7> @b AS VARBINARY(1000), @s AS VARCHAR(2002);
8> SET @s = "0x0123456789abcdef";
9>
10> IF @s NOT LIKE "0x%" OR @s LIKE "0x%[^0-9a-fA-F]%"
11> BEGIN
12> RAISERROR("Possible SQL Injection attempt.", 16, 1);
13> RETURN;
14> END
15>
16> SET @sql = N"SET @o = " + @s + N";";
17> EXEC sp_executesql
18> @stmt = @sql,
19> @params = N"@o AS VARBINARY(1000) OUTPUT",
20> @o = @b OUTPUT;
21>
22> SELECT @b;
23> GO

--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
------------------------------------------------------------------------------------------------------------------
0x0123456789ABCDEF

1>
2></source>

SQL Server/T-SQL Tutorial/Data Types/money

2010-05-26T10:25:29Z

Admin: 1 версия

== Return money type from function==



<source lang="sql">
5> CREATE FUNCTION dbo.AveragePrice()
6> RETURNS money
7> WITH SCHEMABINDING
8> AS
9> BEGIN
10> RETURN (SELECT AVG(Price) FROM dbo.Titles)
11> END
12> GO
1>
2> SELECT OBJECTPROPERTY(OBJECT_ID("AveragePrice"), "IsDeterministic")
3> GO
-----------
1
(1 rows affected)
1>
2> drop FUNCTION dbo.AveragePrice;
3> GO</source>

SQL Server/T-SQL Tutorial/Data Types/TEXTPTR

2010-05-26T10:25:28Z

Admin: 1 версия

== TEXTPTR function==



<source lang="sql">
5> CREATE TABLE pub_info
6> (
7> pub_id char(4) NOT NULL,
8> logo image NULL,
9> pr_info text NULL
10> )
11>
12> insert pub_info values("1756", 0x4749,"This is sample text.")
13> GO
1>
2> -- WRITETEXT with an unprotected text pointer
3> DECLARE @mytextptr varbinary(16)
4> SELECT @mytextptr=TEXTPTR(pr_info)
5> FROM pub_info WHERE pub_id="9999"
6> IF @mytextptr IS NOT NULL
7> WRITETEXT pub_info.pr_info @mytextptr "Hello Again"
8> GO
1>
2> drop table pub_info;
3> GO
1></source>

SQL Server/T-SQL Tutorial/Data Types/integer

2010-05-26T10:25:27Z

Admin: 1 версия

== A SELECT statement that retrieves rows with zero values==



<source lang="sql">
4>
5> create table Billings (
6> BankerID INTEGER,
7> BillingNumber INTEGER,
8> BillingDate datetime,
9> BillingTotal INTEGER,
10> TermsID INTEGER,
11> BillingDueDate datetime ,
12> PaymentTotal INTEGER,
13> CreditTotal INTEGER
14>
15> );
16> GO
1>
2> INSERT INTO Billings VALUES (1, 1, "2005-01-22", 165, 1,"2005-04-22",123,321);
3> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (2, 2, "2001-02-21", 165, 1,"2002-02-22",123,321);
2> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (3, 3, "2003-05-02", 165, 1,"2005-04-12",123,321);
2> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (4, 4, "1999-03-12", 165, 1,"2005-04-18",123,321);
2> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (5, 5, "2000-04-23", 165, 1,"2005-04-17",123,321);
2> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (6, 6, "2001-06-14", 165, 1,"2005-04-18",123,321);
2> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (7, 7, "2002-07-15", 165, 1,"2005-04-19",123,321);
2> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (8, 8, "2003-08-16", 165, 1,"2005-04-20",123,321);
2> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (9, 9, "2004-09-17", 165, 1,"2005-04-21",123,321);
2> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (0, 0, "2005-10-18", 165, 1,"2005-04-22",123,321);
2> GO
(1 rows affected)
1>
2>
3> SELECT *
4> FROM Billings
5> WHERE BillingTotal = 0
6> GO
BankerID BillingNumber BillingDate BillingTotal TermsID BillingDueDate PaymentTotal CreditTotal
----------- ------------- ----------------------- ------------ ----------- ----------------------- ------------ -----------
(0 rows affected)
1>
2>
3> drop table Billings;
4> GO
1></source>

== Conversion failed when converting the varchar value "97/522" to data type int.==



<source lang="sql">
6>
7>
8> create table Billings (
9> BankerID INTEGER,
10> BillingNumber INTEGER,
11> BillingDate datetime,
12> BillingTotal INTEGER,
13> TermsID INTEGER,
14> BillingDueDate datetime ,
15> PaymentTotal INTEGER,
16> CreditTotal INTEGER
17>
18> );
19> GO
1>
2> INSERT INTO Billings VALUES (1, 1, "2005-01-22", 165, 1,"2005-04-22",123,321);
3> GO

1> INSERT INTO Billings VALUES (2, 2, "2001-02-21", 165, 1,"2002-02-22",123,321);
2> GO

1> INSERT INTO Billings VALUES (3, 3, "2003-05-02", 165, 1,"2005-04-12",123,321);
2> GO

1> INSERT INTO Billings VALUES (4, 4, "1999-03-12", 165, 1,"2005-04-18",123,321);
2> GO

1> INSERT INTO Billings VALUES (5, 5, "2000-04-23", 165, 1,"2005-04-17",123,321);
2> GO

1> INSERT INTO Billings VALUES (6, 6, "2001-06-14", 165, 1,"2005-04-18",123,321);
2> GO

1> INSERT INTO Billings VALUES (7, 7, "2002-07-15", 165, 1,"2005-04-19",123,321);
2> GO

1> INSERT INTO Billings VALUES (8, 8, "2003-08-16", 165, 1,"2005-04-20",123,321);
2> GO

1> INSERT INTO Billings VALUES (9, 9, "2004-09-17", 165, 1,"2005-04-21",123,321);
2> GO

1> INSERT INTO Billings VALUES (0, 0, "2005-10-18", 165, 1,"2005-04-22",123,321);
2> GO

1>
2> UPDATE Billings
3> SET BillingDate = "2002-09-21",
4> PaymentTotal = 19351.18
5> WHERE BillingNumber = "97/522"
6> GO
Msg 245, Level 16, State 1, Server J\SQLEXPRESS, Line 2
Conversion failed when converting the varchar value "97/522" to data type int.
1>
2>
3> drop table Billings;
4> GO</source>

== Convert the return datatype from INTEGER to FLOAT by multiplying the data in the INTEGER column by 1.0 to convert to FLOAT.==



<source lang="sql">
Converting INTEGER to FLOAT using AVG.
6>
7>
8> CREATE TABLE CD (
9> CD_ID integer NOT NULL PRIMARY KEY,
10> CD_Title varchar(40),
11> Composer_ID integer NOT NULL,
12> Classif_ID integer NOT NULL,
13> SalesPrice money,
14> AverageCost money)
15> GO
1> INSERT into CD VALUES(2000,"John",100,1,16.99,6.99)
2> INSERT into CD VALUES(2001,"Chicago 16",107,1,14.99,5.99)
3> INSERT into CD VALUES(2002,"Chicago 17",107,1,14.99,5.99)
4> INSERT into CD VALUES(2003,"Chicago 18",107,1,14.99,5.99)
5> INSERT into CD VALUES(2004,"Greatest Hits",107,1,16.99,7.99)
6> INSERT into CD VALUES(2005,"Midnight",101,3,14.99,5.99)
7> INSERT into CD VALUES(2006,"Mode",115,3,14.99,5.99)
8> INSERT into CD VALUES(2007,"Ultra",115,3,15.99,5.99)
9> INSERT into CD VALUES(2008,"Mindcrime",102,4,14.99,5.99)
10> INSERT into CD VALUES(2009,"Empire",102,4,14.99,5.99)
11> INSERT into CD VALUES(2010,"Land",102,4,12.99,4.99)
12> INSERT into CD VALUES(2011,"Night",103,4,11.99,3.99)
13> INSERT into CD VALUES(2012,"Pyromania",103,4,14.99,5.99)
14> INSERT into CD VALUES(2013,"Hysteria",103,4,14.99,5.99)
15> INSERT into CD VALUES(2014,"Hits",103,4,13.99,4.99)
16> INSERT into CD VALUES(2015,"Hits 2",104,2,15.99,6.99)
17> INSERT into CD VALUES(2016,"Greatest",105,2,14.99,5.99)
18> INSERT into CD VALUES(2017,"Hits 3",106,1,13.99,5.99)
19> INSERT into CD VALUES(2018,"Deep",108,1,12.99,2.99)
20> INSERT into CD VALUES(2019,"Turning",109,1,14.99,5.99)
21> INSERT into CD VALUES(2020,"TheHits",109,1,16.99,7.99)
22> INSERT into CD VALUES(2021,"Cars",110,1,9.99,3.99)
23> INSERT into CD VALUES(2022,"Anthology",110,1,25.99,11.99)
24> INSERT into CD VALUES(2023,"City",110,1,14.99,5.99)
25> INSERT into CD VALUES(2024,"Rick",111,1,11.99,2.99)
26> INSERT into CD VALUES(2025,"Live",112,1,19.99,8.99)
27> INSERT into CD VALUES(2026,"Pat",113,1,16.99,6.99)
28> INSERT into CD VALUES(2027,"Big",114,1,14.99,5.99)
29> INSERT into CD VALUES(2028,"Hurting",114,1,11.99,3.99)
30> INSERT into CD VALUES(2029,"Vol 1",116,1,9.99,2.99)
31> INSERT into CD VALUES(2030,"Vol 2",116,1,9.99,2.99)
32> GO
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
1>
2> SELECT AVG(CD_ID * -1.0) from CD WHERE Classif_ID = 2
3> GO
----------------------------------------
-2015.500000
(1 rows affected)
1>
2> drop table CD;
3> GO</source>

== Count int1 values (implicitly non-null)==



<source lang="sql">
4> CREATE TABLE T (
5> int1 int,
6> bit1 bit,
7> varchar1 varchar(3),
8> dec1 dec(5,2),
9> cmp1 AS (int1 + bit1)
10> )
11> GO
1>
2> INSERT T (int1, bit1) VALUES (1, 0)
3> INSERT T (int1, varchar1) VALUES (2, "abc")
4> INSERT T (int1, dec1) VALUES (3, 5.25)
5> INSERT T (bit1, dec1) VALUES (1, 9.75)
6> GO
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
1> SELECT COUNT(int1) "int1 values in T"
2> FROM T
3> GO
int1 values in T
----------------
3
Warning: Null value is eliminated by an aggregate or other SET operation.
1> drop table t;
2> GO
1>
2>
3></source>

== int OUTPUT parameter==



<source lang="sql">
5> CREATE TABLE employee(
6> id INTEGER NOT NULL PRIMARY KEY,
7> first_name VARCHAR(10),
8> last_name VARCHAR(10),
9> salary DECIMAL(10,2),
10> start_Date DATETIME,
11> region VARCHAR(10),
12> city VARCHAR(20),
13> managerid INTEGER
14> );
15> GO
1> INSERT INTO employee VALUES (1, "Jason" , "Martin", 5890,"2005-03-22","North","Vancouver",3);
2> GO
(1 rows affected)
1> INSERT INTO employee VALUES (2, "Alison", "Mathews",4789,"2003-07-21","South","Utown",4);
2> GO
(1 rows affected)
1> INSERT INTO employee VALUES (3, "James" , "Smith", 6678,"2001-12-01","North","Paris",5);
2> GO
(1 rows affected)
1> INSERT INTO employee VALUES (4, "Celia" , "Rice", 5567,"2006-03-03","South","London",6);
2> GO
(1 rows affected)
1> INSERT INTO employee VALUES (5, "Robert", "Black", 4467,"2004-07-02","East","Newton",7);
2> GO
(1 rows affected)
1> INSERT INTO employee VALUES (6, "Linda" , "Green" , 6456,"2002-05-19","East","Calgary",8);
2> GO
(1 rows affected)
1> INSERT INTO employee VALUES (7, "David" , "Larry", 5345,"2008-03-18","West","New York",9);
2> GO
(1 rows affected)
1> INSERT INTO employee VALUES (8, "James" , "Cat", 4234,"2007-07-17","West","Regina",9);
2> GO
(1 rows affected)
1> INSERT INTO employee VALUES (9, "Joan" , "Act", 6123,"2001-04-16","North","Toronto",10);
2> GO
(1 rows affected)
1>
2> select * from employee;
3> GO
id first_name last_name salary start_Date region city managerid
----------- ---------- ---------- ------------ ----------------------- ---------- -------------------- -----------
1 Jason Martin 5890.00 2005-03-22 00:00:00.000 North Vancouver 3
2 Alison Mathews 4789.00 2003-07-21 00:00:00.000 South Utown 4
3 James Smith 6678.00 2001-12-01 00:00:00.000 North Paris 5
4 Celia Rice 5567.00 2006-03-03 00:00:00.000 South London 6
5 Robert Black 4467.00 2004-07-02 00:00:00.000 East Newton 7
6 Linda Green 6456.00 2002-05-19 00:00:00.000 East Calgary 8
7 David Larry 5345.00 2008-03-18 00:00:00.000 West New York 9
8 James Cat 4234.00 2007-07-17 00:00:00.000 West Regina 9
9 Joan Act 6123.00 2001-04-16 00:00:00.000 North Toronto 10
(9 rows affected)
1>
2> CREATE PROCEDURE dbo.usp_employee
3> @Name nvarchar(50),
4> @DeptCount int OUTPUT
5> AS
6> SELECT first_Name
7> FROM employee
8> WHERE city = @Name
9> SELECT @DeptCount = @@ROWCOUNT
10> GO
1>
2> DECLARE @DeptCount int
3> EXEC dbo.usp_employee "Vancouver",
4> @DeptCount OUTPUT
5> PRINT @DeptCount
6> GO
first_Name
----------
Jason
(1 rows affected)
1
1>
2> ALTER PROCEDURE dbo.usp_employee
3> @GroupName nvarchar(50)
4> AS
5> SELECT first_name
6> FROM Employee
7> WHERE city = @GroupName
8> SELECT @@ROWCOUNT DepartmentCount
9> GO
1>
2> EXEC dbo.usp_Employee "Research and Development"
3>
4>
5> drop procedure dbo.usp_Employee
6> GO
first_name
----------
(0 rows affected)
DepartmentCount
---------------
0
(1 rows affected)
1> drop table employee;
2> GO
1></source>

== SQL Server integer datatypes.==



<source lang="sql">
Datatype Range Storage (bytes)
bigint -2^63 to 2^63-1 8
int -2^31 to 2^31-1 4
smallint -2^15 to 2^15-1 2
tinyint 0 to 255 1
money -922,337,203,685,477.5808 to 8
922,337,203,685,477.5807,
with accuracy of one
ten-thousandth of a monetary unit

smallmoney -214,748.3648 to 214,748.3647, 4
with accuracy of one
ten-thousandth of a monetary unit</source>

== To use a numeric literal, enter the number without quotes.==



<source lang="sql">
6>
7> create table Billings (
8> BankerID INTEGER,
9> BillingNumber INTEGER,
10> BillingDate datetime,
11> BillingTotal INTEGER,
12> TermsID INTEGER,
13> BillingDueDate datetime ,
14> PaymentTotal INTEGER,
15> CreditTotal INTEGER
16>
17> );
18> GO
1>
2> INSERT INTO Billings VALUES (1, 1, "2005-01-22", 165, 1,"2005-04-22",123,321);
3> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (2, 2, "2001-02-21", 165, 1,"2002-02-22",123,321);
2> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (3, 3, "2003-05-02", 165, 1,"2005-04-12",123,321);
2> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (4, 4, "1999-03-12", 165, 1,"2005-04-18",123,321);
2> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (5, 5, "2000-04-23", 165, 1,"2005-04-17",123,321);
2> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (6, 6, "2001-06-14", 165, 1,"2005-04-18",123,321);
2> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (7, 7, "2002-07-15", 165, 1,"2005-04-19",123,321);
2> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (8, 8, "2003-08-16", 165, 1,"2005-04-20",123,321);
2> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (9, 9, "2004-09-17", 165, 1,"2005-04-21",123,321);
2> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (0, 0, "2005-10-18", 165, 1,"2005-04-22",123,321);
2> GO
(1 rows affected)
1>
2>
3> select * from Billings WHERE CreditTotal <> 0
4> GO
BankerID BillingNumber BillingDate BillingTotal TermsID BillingDueDate PaymentTotal CreditTotal
----------- ------------- ----------------------- ------------ ----------- ----------------------- ------------ -----------
1 1 2005-01-22 00:00:00.000 165 1 2005-04-22 00:00:00.000 123 321
2 2 2001-02-21 00:00:00.000 165 1 2002-02-22 00:00:00.000 123 321
3 3 2003-05-02 00:00:00.000 165 1 2005-04-12 00:00:00.000 123 321
4 4 1999-03-12 00:00:00.000 165 1 2005-04-18 00:00:00.000 123 321
5 5 2000-04-23 00:00:00.000 165 1 2005-04-17 00:00:00.000 123 321
6 6 2001-06-14 00:00:00.000 165 1 2005-04-18 00:00:00.000 123 321
7 7 2002-07-15 00:00:00.000 165 1 2005-04-19 00:00:00.000 123 321
8 8 2003-08-16 00:00:00.000 165 1 2005-04-20 00:00:00.000 123 321
9 9 2004-09-17 00:00:00.000 165 1 2005-04-21 00:00:00.000 123 321
0 0 2005-10-18 00:00:00.000 165 1 2005-04-22 00:00:00.000 123 321
(10 rows affected)
1>
2>
3> drop table Billings;
4> GO</source>

== Using AVG on INTEGER values.==



<source lang="sql">
6> CREATE TABLE CD (
7> CD_ID integer NOT NULL PRIMARY KEY,
8> CD_Title varchar(40),
9> Composer_ID integer NOT NULL,
10> Classif_ID integer NOT NULL,
11> SalesPrice money,
12> AverageCost money)
13> GO
1> INSERT into CD VALUES(2000,"John",100,1,16.99,6.99)
2> INSERT into CD VALUES(2001,"Chicago 16",107,1,14.99,5.99)
3> INSERT into CD VALUES(2002,"Chicago 17",107,1,14.99,5.99)
4> INSERT into CD VALUES(2003,"Chicago 18",107,1,14.99,5.99)
5> INSERT into CD VALUES(2004,"Greatest Hits",107,1,16.99,7.99)
6> INSERT into CD VALUES(2005,"Midnight",101,3,14.99,5.99)
7> INSERT into CD VALUES(2006,"Mode",115,3,14.99,5.99)
8> INSERT into CD VALUES(2007,"Ultra",115,3,15.99,5.99)
9> INSERT into CD VALUES(2008,"Mindcrime",102,4,14.99,5.99)
10> INSERT into CD VALUES(2009,"Empire",102,4,14.99,5.99)
11> INSERT into CD VALUES(2010,"Land",102,4,12.99,4.99)
12> INSERT into CD VALUES(2011,"Night",103,4,11.99,3.99)
13> INSERT into CD VALUES(2012,"Pyromania",103,4,14.99,5.99)
14> INSERT into CD VALUES(2013,"Hysteria",103,4,14.99,5.99)
15> INSERT into CD VALUES(2014,"Hits",103,4,13.99,4.99)
16> INSERT into CD VALUES(2015,"Hits 2",104,2,15.99,6.99)
17> INSERT into CD VALUES(2016,"Greatest",105,2,14.99,5.99)
18> INSERT into CD VALUES(2017,"Hits 3",106,1,13.99,5.99)
19> INSERT into CD VALUES(2018,"Deep",108,1,12.99,2.99)
20> INSERT into CD VALUES(2019,"Turning",109,1,14.99,5.99)
21> INSERT into CD VALUES(2020,"TheHits",109,1,16.99,7.99)
22> INSERT into CD VALUES(2021,"Cars",110,1,9.99,3.99)
23> INSERT into CD VALUES(2022,"Anthology",110,1,25.99,11.99)
24> INSERT into CD VALUES(2023,"City",110,1,14.99,5.99)
25> INSERT into CD VALUES(2024,"Rick",111,1,11.99,2.99)
26> INSERT into CD VALUES(2025,"Live",112,1,19.99,8.99)
27> INSERT into CD VALUES(2026,"Pat",113,1,16.99,6.99)
28> INSERT into CD VALUES(2027,"Big",114,1,14.99,5.99)
29> INSERT into CD VALUES(2028,"Hurting",114,1,11.99,3.99)
30> INSERT into CD VALUES(2029,"Vol 1",116,1,9.99,2.99)
31> INSERT into CD VALUES(2030,"Vol 2",116,1,9.99,2.99)
32> GO
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
1>
2> SELECT AVG(CD_ID) from CD WHERE Classif_ID = 2
3> GO
-----------
2015
(1 rows affected)
1>
2> drop table CD;
3> GO</source>

== Using convert to convert integer to characters==



<source lang="sql">
4>
5> SELECT CONVERT(char(4), 2005) + " Can now be concatenated!"
6> GO
-----------------------------
2005 Can now be concatenated!
(1 rows affected)</source>

SQL Server/T-SQL Tutorial/Data Types/Large Text

2010-05-26T10:25:27Z

Admin: 1 версия

== truncates the string at the 28th position==



<source lang="sql">
6> IF OBJECT_ID("dbo.CustomerData") IS NOT NULL
7> DROP TABLE dbo.CustomerData;
8> GO
1>
2> CREATE TABLE dbo.CustomerData
3> (
4> custid INT NOT NULL PRIMARY KEY,
5> txt_data VARCHAR(MAX) NULL,
6> ntxt_data NVARCHAR(MAX) NULL,
7> binary_data VARBINARY(MAX) NULL
8> );
9> GO
1> UPDATE dbo.CustomerData
2> SET txt_data.WRITE(NULL, 28, 0)
3> WHERE custid = 102;
4> GO
1>
2> drop table CustomerData;
3> GO</source>

== truncates the string at the ninth position, and appends "102" at the end==



<source lang="sql">
4> IF OBJECT_ID("dbo.CustomerData") IS NOT NULL
5> DROP TABLE dbo.CustomerData;
6> GO
1>
2> CREATE TABLE dbo.CustomerData
3> (
4> custid INT NOT NULL PRIMARY KEY,
5> txt_data VARCHAR(MAX) NULL,
6> ntxt_data NVARCHAR(MAX) NULL,
7> binary_data VARBINARY(MAX) NULL
8> );
9> GO
1> UPDATE dbo.CustomerData
2> SET txt_data.WRITE("102", 9, NULL)
3> WHERE custid = 102;
4> GO
1>
2> drop table CustomerData;
3> GO</source>

== Updating Large Value Data Type Columns==



<source lang="sql">
varchar(max), which holds non-Unicode variable length data.
nvarchar(max), which holds Unicode variable length data.
varbinary(max), which holds variable length binary data.
These data types can store up to 2^31-1 bytes of data.
For updating large value data types the UPDATE command now includes the .WRITE method:
UPDATE <table_or_view_name>
SET column_name = .WRITE ( expression , @Offset , @Length )
FROM <table_source>
WHERE <search_condition>
The parameters of the .WRITE method are described in following table.
Argument Description
expression The expression defines the chunk of text to be placed in the column.
@Offset @Offset determines the starting position in the existing data the new text should be placed. If @Offset is NULL, it means the new expression will be appended to the end of the column (also ignoring the second @Length parameter).
@Length @Length determines the length of the section to overlay.
Referenced from:
SQL Server 2005 T-SQL Recipes A Problem-Solution Approach</source>

SQL Server/T-SQL Tutorial/Data Types/bigint

2010-05-26T10:25:27Z

Admin: 1 версия

== Bigint type column==



<source lang="sql">
2> IF EXISTS(SELECT name FROM sys.tables
3> WHERE name = "T")
4> BEGIN
5> PRINT "T already."
6> DROP TABLE T_old
7> EXEC sp_rename "T", "T_old"
8> END
9> ELSE PRINT "No T already."
10>
11> CREATE TABLE T (
12> c1 bigint,
13> c2 nvarchar(max)
14> )
15></source>

SQL Server/T-SQL Tutorial/Data Types/OPENROWSET

2010-05-26T10:25:26Z

Admin: 1 версия

== Inserting or Updating an Image File Using OPENROWSET and BULK==



<source lang="sql">
UPDATE and OPENROWSET can be used together to import an image into a table.
OPENROWSET can be used to import a file into a single row, single column value.
OPENROWSET
( BULK "data_file",| SINGLE_BLOB | SINGLE_CLOB | SINGLE_NCLOB )

Parameter Description
data_file The name and path of the file to read.
SINGLE_BLOB | Designate the SINGLE_BLOB object for importing into a varbinary(max) data
SINGLE_CLOB | type, SINGLE_CLOB for ASCII data into a varchar(max) data type, and
SINGLE_NCLOB SINGLE_NCLOB for importing into a nvarchar(max) UNICODE data type.
Referenced from:
SQL Server 2005 T-SQL Recipes A Problem-Solution Approach
20>
21>
22> CREATE TABLE ImageTable(
23> ID int NOT NULL,
24> Gif varbinary(max) NOT NULL
25> )
26> GO
1>
2> INSERT ImageTable
3> (ID, Gif)
4> SELECT 1,
5> BulkColumn
6> FROM OPENROWSET(BULK "C:\yourImage.gif",SINGLE_BLOB) AS x
7> GO
Msg 4860, Level 16, State 1, Server BCE67B1242DE45A\SQLEXPRESS, Line 2
Cannot bulk load. The file "C:\yourImage.gif" does not exist.
1>
2> SELECT Gif
3> FROM ImageTable
4> WHERE ID = 1
5> GO
Msg 208, Level 16, State 1, Server BCE67B1242DE45A\SQLEXPRESS, Line 2
Invalid object name "ImageTable".
1>
2> UPDATE ImageTable
3> SET Gif =
4> (SELECT BulkColumn
5> FROM OPENROWSET(BULK
6> "C:\newImage.gif",
7> SINGLE_BLOB) AS x)
8> WHERE ID =1
9> GO
Msg 208, Level 16, State 1, Server BCE67B1242DE45A\SQLEXPRESS, Line 2
Invalid object name "ImageTable".
1>
2> drop table ImageTable
3> GO
Msg 3701, Level 11, State 5, Server BCE67B1242DE45A\SQLEXPRESS, Line 2
Cannot drop the table "ImageTable", because it does not exist or you do not have permission.
1></source>

== OPENROWSET(BULK "C:\ER.vdx",SINGLE_BLOB)==



<source lang="sql">
18> CREATE TABLE dbo.VisioDocs
19> (
20> id INT NOT NULL,
21> doc XML NOT NULL
22> );
23> GO
1>
2> INSERT INTO dbo.VisioDocs (id, doc)
3> SELECT 1, *
4> FROM OPENROWSET(BULK "C:\ORM.vdx",
5> SINGLE_BLOB) AS x;
6> INSERT INTO dbo.VisioDocs (id, doc)
7> SELECT 2, *
8> FROM OPENROWSET(BULK "C:\ER.vdx",
9> SINGLE_BLOB) AS x;
10> INSERT INTO dbo.VisioDocs (id, doc)
11> SELECT 3, *
12> FROM OPENROWSET(BULK "C:\UML.vdx",
13> SINGLE_BLOB) AS x;
14> INSERT INTO dbo.VisioDocs (id, doc)
15> SELECT 4, *
16> FROM OPENROWSET(BULK "C:\ER.vdx",
17> SINGLE_BLOB) AS x;
18> GO
Msg 4860, Level 16, State 1, Server J\SQLEXPRESS, Line 2
Cannot bulk load. The file "C:\ORM.vdx" does not exist.
1>
2> SELECT id, doc FROM dbo.VisioDocs;
3> GO
id doc
----------- --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
--------------------------------------------------------------------
1>
2>
3> drop table VisioDocs;
4> GO
1></source>

SQL Server/T-SQL Tutorial/Data Types/text

2010-05-26T10:25:26Z

Admin: 1 версия

== Character Strings==



<source lang="sql">
9> Create table Contacts(ContactId char(8),
10> Name varchar(50),
11> Note text,
12> Resume varchar(max))
13> GO
1>
2> insert into Contacts (ContactId, Name, Note, Resume)
3> values ("CO-92-81", "Tom Jones", "Tom@trigon.ru", "N/a")
4> GO
(1 rows affected)
1>
2> drop table Contacts;
3> GO
1></source>

== Sample Table Containing Text==



<source lang="sql">
3>
4> CREATE TABLE MyTextTable(
5> id int NOT NULL PRIMARY KEY,
6> txt text NULL
7> )
8> GO
1> EXEC sp_tableoption "MyTextTable", "text in row", "1000"
2> GO
1> INSERT MyTextTable
2> VALUES (1, NULL)
3> UPDATE MyTextTable
4> SET
5> txt = REPLICATE ("x", 1000)
6>
7> select * from MyTextTable
8> GO
(1 rows affected)
(1 rows affected)
id txt

----------- ------------------------------------------------------------------------------------------------------------
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----------------------------
1 xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx

(1 rows affected)
1>
2> drop table MyTextTable
3> GO
1></source>

SQL Server/T-SQL Tutorial/Data Types/Create Type

2010-05-26T10:25:26Z

Admin: 1 версия

== Creating and Using User-Defined Types==



<source lang="sql">
4>
5> CREATE TYPE dbo.AccountNBR FROM char(14) NOT NULL
6> GO
1>
2> CREATE TABLE dbo.MyCount
3> (ID int NOT NULL,
4> AccountNBR AccountNBR)
5> GO
1>
2> CREATE PROCEDURE dbo.usp_SEL_CustomerAccount @CustomerAccountNBR AccountNBR
3> AS
4> SELECT ID, AccountNBR
5> FROM dbo.MyCount
6> WHERE AccountNBR = @CustomerAccountNBR
7> GO
1>
2> DECLARE @AccountNBR AccountNBR
3> SET @AccountNBR = "1294839482"
4> EXEC dbo.usp_SEL_CustomerAccount @AccountNBR
5> GO
ID AccountNBR
----------- --------------
1>
2> EXEC sp_help "dbo.AccountNBR"
3> GO
Type_name
Storage_type
Length Prec Scale Nullable Default_name
Rule_name
Collation
------------------------------------------------------------------------------------------------------------------------
-------- ---------------------------------------------------------------------------------------------------------------
----------------- ------ ----------- ----------- ----------------------------------- -----------------------------------
--------------------------------------------------------------------------------------------- --------------------------
------------------------------------------------------------------------------------------------------ -----------------
---------------------------------------------------------------------------------------------------------------
AccountNBR
char
14 14 NULL no none
none
Chinese_PRC_CI_AS
1>
2> drop table dbo.MyCount
3> GO
1> drop procedure dbo.usp_SEL_CustomerAccount
2> GO
1> drop type dbo.AccountNBR
2> GO
1></source>

== Dropping User-Defined Types==



<source lang="sql">
4>
5> CREATE TYPE dbo.AccountNBR FROM char(14) NOT NULL
6> GO
1>
2> DROP TYPE dbo.AccountNBR
3> GO
1></source>

== Identifying Columns and Parameters that Use User-Defined Types==



<source lang="sql">
4>
5> CREATE TYPE dbo.AccountNBR FROM char(14) NOT NULL
6> GO
1>
2> CREATE TABLE dbo.MyCount
3> (ID int NOT NULL,
4> AccountNBR AccountNBR)
5> GO
1>
2> SELECT OBJECT_NAME(c.object_id) Table_Name, c.name Column_Name
3> FROM sys.columns c
4> INNER JOIN sys.types t ON
5> c.user_type_id = t.user_type_id
6> WHERE t.name = "AccountNBR"
7> GO
Table_Name
Column_Name
------------------------------------------------------------------------------------------------------------------------
-------- ---------------------------------------------------------------------------------------------------------------
-----------------
MyCount
AccountNBR
1>
2>
3> drop table dbo.MyCount
4> GO
1>
2> drop type dbo.AccountNBR
3> GO</source>

== Now see what parameters reference the AccountNBR data type==



<source lang="sql">
3>
4> CREATE TYPE dbo.AccountNBR FROM char(14) NOT NULL
5> GO
1>
2>
3> SELECT OBJECT_NAME(p.object_id) Table_Name, p.name Parameter_Name
4> FROM sys.parameters p
5> INNER JOIN sys.types t ON
6> p.user_type_id = t.user_type_id
7> WHERE t.name = "AccountNBR"
8> GO
Table_Name
Parameter_Name
------------------------------------------------------------------------------------------------------------------------
-------- ---------------------------------------------------------------------------------------------------------------
-----------------
1>
2> drop type dbo.AccountNBR
3> GO
1></source>

== The syntax of the CREATE TYPE statement is as follows:==



<source lang="sql">
CREATE TYPE [type_schema_name.] type_name
{[FROM base_type [(precision [,scale])] [NULL|NOT NULL]]
|[EXTERNAL NAME assembly_name [.class_name]]}
10> CREATE TYPE zip
11> FROM CHAR(5) NOT NULL
12> GO
1>
2> drop type zip;
3> GO</source>

SQL Server/T-SQL Tutorial/Data Types/READTEXT

2010-05-26T10:25:25Z

Admin: 1 версия

== READTEXT [[database.]owner.]table_name.column_name text_ptr offset size [HOLDLOCK]==



<source lang="sql">
7> CREATE TABLE pub_info
8> (
9> pub_id char(4) NOT NULL,
10> logo image NULL,
11> pr_info text NULL
12> )
13> GO
1>
2>
3> -- READTEXT with a protected text pointer
4> BEGIN TRAN
5> DECLARE @mytextptr varbinary(16), @sizeneeded int, @pat_offset int
6> SELECT @mytextptr=TEXTPTR(pr_info),
7> @pat_offset=PATINDEX("%Washington%",pr_info) - 1,
8> @sizeneeded=DATALENGTH(pr_info) -
9> (PATINDEX("%Washington%",pr_info) - 1)
10> FROM pub_info (HOLDLOCK) WHERE pub_id="0877"
11>
12> IF @mytextptr IS NOT NULL AND @pat_offset >= 0 AND
13> @sizeneeded IS NOT NULL
14> READTEXT pub_info.pr_info @mytextptr @pat_offset @sizeneeded
15>
16> GO
1>
2>
3> drop table pub_info;
4> GO
1></source>

SQL Server/T-SQL Tutorial/Data Types/smalldatetime

2010-05-26T10:25:25Z

Admin: 1 версия

== smalldatetime column with default value==



<source lang="sql">
3> CREATE TABLE StudentsArchive (
4> AID int IDENTITY(1,1) PRIMARY KEY CLUSTERED,
5> type nvarchar(6) NOT NULL,
6> whenchanged smalldatetime NOT NULL DEFAULT Getdate(),
7>
8> StudentID int,
9> nFirstName nvarchar(30),
10> nLastName nvarchar(50),
11> oFirstName nvarchar(30),
12> oLastName nvarchar(50)
13> )
14> GO
1>
2> drop table StudentsArchive;
3> GO
1></source>

== smalldatetime type==



<source lang="sql">
6> CREATE TABLE Orders (
7> OrderID int IDENTITY (1, 1) NOT NULL ,
8> CustomerID nchar (5) NULL ,
9> EmployeeID int NULL ,
10> OrderDate datetime NULL ,
11> RequiredDate datetime NULL ,
12> ShippedDate datetime NULL ,
13> ShipVia int NULL ,
14> Freight money NULL DEFAULT (0),
15> ShipName nvarchar (40) NULL ,
16> ShipAddress nvarchar (60) NULL ,
17> ShipCity nvarchar (15) NULL ,
18> ShipRegion nvarchar (15) NULL ,
19> ShipPostalCode nvarchar (10) NULL ,
20> ShipCountry nvarchar (15) NULL)
21> GO
1>
2> Create PROC spInsertDateValidatedOrder
3> @CustomerID nvarchar(5),
4> @EmployeeID int,
5> @OrderDate datetime = NULL,
6> @RequiredDate datetime = NULL,
7> @ShippedDate datetime = NULL,
8> @ShipVia int,
9> @Freight money,
10> @ShipName nvarchar(40) = NULL,
11> @ShipAddress nvarchar(60) = NULL,
12> @ShipCity nvarchar(15) = NULL,
13> @ShipRegion nvarchar(15) = NULL,
14> @ShipPostalCode nvarchar(10) = NULL,
15> @ShipCountry nvarchar(15) = NULL,
16> @OrderID int OUTPUT
17>
18> AS
19> DECLARE @InsertedOrderDate smalldatetime
20> IF DATEDIFF(dd, @OrderDate, GETDATE()) > 7
21> SELECT @InsertedOrderDate = NULL
22> ELSE
23> SELECT @InsertedOrderDate = CONVERT(datetime,(CONVERT(varchar,@OrderDate,112)))
24> INSERT INTO Orders VALUES (@CustomerID,@EmployeeID,@InsertedOrderDate,@RequiredDate,@ShippedDate, @ShipVia,@Freight,@ShipName,@ShipAddress,@ShipCity,@ShipRegion,@ShipPostalCode,@ShipCountry
25> )
26> SELECT @OrderID = @@IDENTITY
27> GO
1>
2>
3> drop table Orders;
4> GO
1>
2> drop PROC spInsertDateValidatedOrder;
3> GO</source>

SQL Server/T-SQL Tutorial/Data Types/collate

2010-05-26T10:25:25Z

Admin: 1 версия

== collate Latin1_General_CS_AS,==



<source lang="sql">
5> CREATE TABLE authors(
6> au_id varchar(11),
7> au_lname varchar(40) NOT NULL,
8> au_fname varchar(20) NOT NULL,
9> phone char(12) NOT NULL DEFAULT ("UNKNOWN"),
10> address varchar(40) NULL,
11> city varchar(20) NULL,
12> state char(2) NULL,
13> zip char(5) NULL,
14> contract bit NOT NULL
15> )
16> GO
1> insert authors values("1", "Joe", "Abra", "111 111-1111", "6 St.", "Berkeley", "CA", "11111", 1)
2> insert authors values("2", "Jack", "Majo", "222 222-2222", "3 St.", "Oakland" , "CA", "22222", 1)
3> insert authors values("3", "Pink", "Cherry", "333 333-3333", "5 Ln.", "Vancouver", "BC", "33333", 1)
4> insert authors values("4", "Blue", "Albert", "444 444-4444", "7 Av.", "Vancouver", "BC", "44444", 1)
5> insert authors values("5", "Red", "Anne", "555 555-5555", "6 Av.", "Regina", "SK", "55555", 1)
6> insert authors values("6", "Black", "Michel", "666 666-6666", "3 Pl.", "Regina", "SK", "66666", 1)
7> insert authors values("7", "White", "Sylvia", "777 777-7777", "1 Pl.", "Rockville", "MD", "77777", 1)
8> insert authors values("8", "Yellow","Heather","888 888-8888", "3 Pu", "Vacaville", "CA", "88888", 0)
9> insert authors values("9", "Gold", "Dep", "999 999-9999", "5 Av.", "Oakland", "CA", "99999", 0)
10> insert authors values("10", "Siler", "Dean", "000 000-0000", "4 Av.", "Oakland", "CA", "00000", 1)
11> GO
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
1>
2>
3> SELECT au_id,
4> au_lname = au_lname collate Latin1_General_CS_AS,
5> au_fname = au_fname collate Latin1_General_CS_AS,
6> phone, address, city, state, zip, contract
7> INTO authors_CS
8> FROM authors
9>
10> GO
(10 rows affected)
1>
2> drop table authors;
3> GO</source>

== Viewing Collation Metadata SERVERPROPERTY==



<source lang="sql">
5>
6> SELECT SERVERPROPERTY("Collation")
7> GO

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--------------------------------------------------------------------------------
Chinese_PRC_CI_AS

(1 rows affected)
1></source>

SQL Server/T-SQL Tutorial/Data Types/nVarChar

2010-05-26T10:25:25Z

Admin: 1 версия

== NVARCHAR(MAX)==



<source lang="sql">
2> IF OBJECT_ID("dbo.CustomerData") IS NOT NULL
3> DROP TABLE dbo.CustomerData;
4> GO
1>
2> CREATE TABLE dbo.CustomerData
3> (
4> custid INT NOT NULL PRIMARY KEY,
5> txt_data VARCHAR(MAX) NULL,
6> ntxt_data NVARCHAR(MAX) NULL,
7> binary_data VARBINARY(MAX) NULL
8> );
9> GO
1>
2> INSERT INTO dbo.CustomerData(custid, txt_data)
3> VALUES(102, "Customer 102 text data");
4> GO
1>
2> drop table CustomerData;
3> GO</source>

== nVarChar type column==



<source lang="sql">
5> CREATE TABLE MyTable (MyID Int IDENTITY(1,1) NOT NULL
6> , Description nVarChar(50) NOT NULL
7> , Region nVarChar(10) NOT NULL DEFAULT "PNW"
8> , CONSTRAINT PK_ID PRIMARY KEY (MyID))
9> GO
1>
2>
3> drop table MyTable;
4> GO</source>

SQL Server/T-SQL Tutorial/Data Types/FULLTEXT

2010-05-26T10:25:24Z

Admin: 1 версия

== Creating a Full-Text Index==



<source lang="sql">
USE YourDatabase
GO
CREATE FULLTEXT CATALOG cat_YourName
CREATE FULLTEXT INDEX ON MyDocumentTable
(DocumentSummary, Document TYPE COLUMN FileExtension)
KEY INDEX PK_DocumentID
ON cat_Document
WITH CHANGE_TRACKING AUTO</source>

== Dropping a Full-Text Index==



<source lang="sql">
DROP FULLTEXT INDEX ON MyDocument</source>

== Modifying a Full-Text Index==



<source lang="sql">
ALTER FULLTEXT INDEX ON MyDocument
ADD (Title)
ALTER FULLTEXT INDEX ON MyDocument
START FULL POPULATION
ALTER FULLTEXT INDEX ON MyDocument
SET CHANGE_TRACKING OFF
ALTER FULLTEXT INDEX ON MyDocument
DROP (Title)</source>

== Using FREETEXT to Search Full-Text Indexed Columns==



<source lang="sql">
3>
4> CREATE TABLE employee(
5> id INTEGER NOT NULL PRIMARY KEY,
6> first_name VARCHAR(10),
7> last_name VARCHAR(10),
8> salary DECIMAL(10,2),
9> start_Date DATETIME,
10> region VARCHAR(10),
11> city VARCHAR(20),
12> managerid INTEGER
13> );
14> GO
1> INSERT INTO employee VALUES (1, "Jason" , "Martin", 5890,"2005-03-22","North","Vancouver",3);
2> GO
(1 rows affected)
1> INSERT INTO employee VALUES (2, "Alison", "Mathews",4789,"2003-07-21","South","Utown",4);
2> GO
(1 rows affected)
1> INSERT INTO employee VALUES (3, "James" , "Smith", 6678,"2001-12-01","North","Paris",5);
2> GO
(1 rows affected)
1> INSERT INTO employee VALUES (4, "Celia" , "Rice", 5567,"2006-03-03","South","London",6);
2> GO
(1 rows affected)
1> INSERT INTO employee VALUES (5, "Robert", "Black", 4467,"2004-07-02","East","Newton",7);
2> GO
(1 rows affected)
1> INSERT INTO employee VALUES (6, "Linda" , "Green" , 6456,"2002-05-19","East","Calgary",8);
2> GO
(1 rows affected)
1> INSERT INTO employee VALUES (7, "David" , "Larry", 5345,"2008-03-18","West","New York",9);
2> GO
(1 rows affected)
1> INSERT INTO employee VALUES (8, "James" , "Cat", 4234,"2007-07-17","West","Regina",9);
2> GO
(1 rows affected)
1> INSERT INTO employee VALUES (9, "Joan" , "Act", 6123,"2001-04-16","North","Toronto",10);
2> GO
(1 rows affected)
1>
2> select * from employee;
3> GO
id first_name last_name salary start_Date region city managerid
----------- ---------- ---------- ------------ ----------------------- ---------- -------------------- -----------
1 Jason Martin 5890.00 2005-03-22 00:00:00.000 North Vancouver 3
2 Alison Mathews 4789.00 2003-07-21 00:00:00.000 South Utown 4
3 James Smith 6678.00 2001-12-01 00:00:00.000 North Paris 5
4 Celia Rice 5567.00 2006-03-03 00:00:00.000 South London 6
5 Robert Black 4467.00 2004-07-02 00:00:00.000 East Newton 7
6 Linda Green 6456.00 2002-05-19 00:00:00.000 East Calgary 8
7 David Larry 5345.00 2008-03-18 00:00:00.000 West New York 9
8 James Cat 4234.00 2007-07-17 00:00:00.000 West Regina 9
9 Joan Act 6123.00 2001-04-16 00:00:00.000 North Toronto 10
(9 rows affected)
1>
2> ALTER FULLTEXT INDEX ON Employee
3> ADD (First_Name)
4> GO
Msg 7609, Level 17, State 104, Server BCE67B1242DE45A\SQLEXPRESS, Line 2
Full-Text Search is not installed, or a full-text component cannot be loaded.
1>
2> SELECT ID
3> FROM Employee
4> WHERE FREETEXT (First_Name, "c" )
5> GO
Msg 7601, Level 16, State 2, Server BCE67B1242DE45A\SQLEXPRESS, Line 2
Cannot use a CONTAINS or FREETEXT predicate on table or indexed view "Employee" because it is not full-text indexed.
1>
2>
3> drop table employee;
4> GO
1></source>

SQL Server/T-SQL Tutorial/Data Types/SQL VARIANT

2010-05-26T10:25:24Z

Admin: 1 версия

== Comparing SQL_VARIANTs==



<source lang="sql">
4> IF CAST(12.0 AS SQL_VARIANT) > CAST(10E AS SQL_VARIANT)
5> PRINT "Bigger"
6> ELSE
7> PRINT "Smaller";
8> GO
Smaller</source>

== Insert different type of values into a sql_variant column==



<source lang="sql">
3> CREATE TABLE var (a int, b sql_variant)
4> GO
1> INSERT INTO var VALUES (1, 3)
2> INSERT INTO var VALUES (2, 3000000000)
3> INSERT INTO var VALUES (3, "abc")
4> INSERT INTO var VALUES (4, current_timestamp)
5> GO
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
1>
2> select * from var;
3> GO
a b

----------- --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
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------------
1 3

2 3000000000

3 abc

4 2008-08-17 13:17:55.547000000

(4 rows affected)
1>
2> drop table var;
3> GO
1></source>

== Select case and cast SQL_VARIANT==



<source lang="sql">
2> SELECT
3> CASE
4> WHEN 1 > 1 THEN CAST(10 AS SQL_VARIANT)
5> WHEN 1 = 1 THEN CAST("abc" AS SQL_VARIANT)
6> WHEN 1 < 1 THEN CAST(10. AS SQL_VARIANT)
7> END;
8> GO

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abc

(1 rows affected)
1>
2></source>

== sql_variant data type is designed to allow a single variable, column, or parameter to store values in different data types.==



<source lang="sql">
Internally, variant objects record two values:
The actual value
The metadata describing the variant: base data type, maximum size, scale, precision, and collation
13> Create table Lookup(
14> LookupGroupId tinyint,
15> LookupId smallint,
16> LookupValue sql_variant)
17> Go
1>
2>
3> Insert Lookup (LookupGroupId, LookupId, LookupValue)
4> Values (2, 34, "VAR")
5> Insert Lookup (LookupGroupId, LookupId, LookupValue)
6> Values (3, 22, 2000)
7> Insert Lookup (LookupGroupId, LookupId, LookupValue)
8> Values (4, 16, "1/12/2000")
9> Insert Lookup (LookupGroupId, LookupId, LookupValue)
10> Values (4, 11, $50000)
11> GO
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
1>
2> drop table Lookup;
3> GO
1>
2>
3></source>

== sql_variant type column==



<source lang="sql">
26> CREATE TABLE variant2
27> (a sql_variant, b sql_variant )
28> GO
1> INSERT INTO variant2
2> VALUES (CAST (111 as int), CAST(222 as money ))
3> GO
(1 rows affected)
1> INSERT INTO variant2
2> VALUES (CAST (333 as int), CAST(444 as char(3) ))
3> GO
(1 rows affected)
1>
2> SELECT *
3> FROM variant2
4> WHERE a > b
5>
6> GO
a

b

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-
333

444

(1 rows affected)
1>
2> SELECT *
3> FROM variant2
4> WHERE a < b
5> GO
a

b

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-
111

222

(1 rows affected)
1>
2> drop table variant2;
3> GO
1></source>

== The creation of the table, with a column of the SQL_VARIANT type.==



<source lang="sql">
5> CREATE TABLE Item_Attributes (
6> item_id INT NOT NULL,
7> attribute NVARCHAR(30) NOT NULL,
8> value SQL_VARIANT NOT NULL,
9> PRIMARY KEY (item_id, attribute))
10> GO
1>
2> drop table Item_Attributes;
3> GO</source>

SQL Server/T-SQL Tutorial/Data Types/Unicode

2010-05-26T10:25:24Z

Admin: 1 версия

== Unicode Character Strings==



<source lang="sql">
7>
8> Create table Contacts_2(ContactId nchar(8),
9> Name nvarchar(50),
10> Note ntext,
11> Resume nvarchar(max))
12> go
1>
2> --Unicode character constants are also delimited with quotes but are prefixed with N?
3>
4> insert into Contacts_2 (Contactld, Name, Note, Resume)
5> values (N"CO-92-81", N"Tom Jones", N"Tom@trigonblue.ru", N"N/a")
6> GO
1>
2> drop table Contacts_2;
3> GO
1></source>

SQL Server/T-SQL Tutorial/Table Join/many to many

2010-05-26T10:25:23Z

Admin: 1 версия

== Implementing Many-to-Many Relationships with Foreign Keys==



<source lang="sql">
4> CREATE TABLE Students(
5> StudentID int Primary Key,
6> FirstName nvarchar(30),
7> LastName nvarchar(50),
8> FullName AS (FirstName + " " + LastName)
9> )
10> GO
1>
2> CREATE TABLE Classes(
3> ClassID int Primary Key,
4> ClassTitle varchar(50)
5> )
6> GO
1>
2> CREATE TABLE ClassGrades(
3> ClassID int,
4> StudentID int,
5> GradeLetter varchar(2),
6> Constraint PK_ClassGrades
7> PRIMARY KEY(ClassID, StudentID),
8> Constraint FK_Classes_ClassID
9> FOREIGN KEY(ClassID)
10> REFERENCES Classes(ClassID) ON UPDATE CASCADE,
11> Constraint FK_Students_StudentID
12> FOREIGN KEY(StudentID)
13> REFERENCES Students(StudentID) ON UPDATE CASCADE
14> )
15> GO
1>
2> --Insert classes rows
3> INSERT Classes VALUES(1,"SQL")
4> INSERT Classes VALUES(999,"Java")
5> GO
(1 rows affected)
(1 rows affected)
1>
2> --Insert Students rows
3> INSERT Students VALUES(1, "Poor", "DBA")
4> INSERT Students VALUES(2, "Better", "DBA")
5> GO
(1 rows affected)
(1 rows affected)
1>
2> --Insert ClassGrades rows
3> INSERT ClassGrades VALUES(1, 1, "C+")
4> INSERT ClassGrades VALUES(1, 2, "A+")
5> INSERT ClassGrades VALUES(999, 2, "A")
6> GO
(1 rows affected)
(1 rows affected)
(1 rows affected)
1>
2> --Show table values after initial population
3> SELECT S.FullName, C.ClassTitle, CG.GradeLetter
4> FROM Classes C, ClassGrades CG, Students S
5> WHERE C.ClassID = CG.ClassID AND
6> S.StudentID = CG.StudentID
7> GO
FullName ClassTitle GradeLetter
--------------------------------------------------------------------------------- -------------------------------------------------- -----------
Poor DBA SQL C+
Better DBA SQL A+
Better DBA Java A
(3 rows affected)
1>
2> drop table ClassGrades;
3> drop table Classes;
4> drop table Students;
5> GO</source>

== Update a many-to-many relation (student, class, classgrade)==



<source lang="sql">
4> CREATE TABLE Students(
5> StudentID int Primary Key,
6> FirstName nvarchar(30),
7> LastName nvarchar(50),
8> FullName AS (FirstName + " " + LastName)
9> )
10> GO
1>
2> CREATE TABLE Classes(
3> ClassID int Primary Key,
4> ClassTitle varchar(50)
5> )
6> GO
1>
2> CREATE TABLE ClassGrades(
3> ClassID int,
4> StudentID int,
5> GradeLetter varchar(2),
6> Constraint PK_ClassGrades
7> PRIMARY KEY(ClassID, StudentID),
8> Constraint FK_Classes_ClassID
9> FOREIGN KEY(ClassID)
10> REFERENCES Classes(ClassID) ON UPDATE CASCADE,
11> Constraint FK_Students_StudentID
12> FOREIGN KEY(StudentID)
13> REFERENCES Students(StudentID) ON UPDATE CASCADE
14> )
15> GO
1>
2> SELECT * FROM Classes
3> GO
ClassID ClassTitle
----------- --------------------------------------------------
(0 rows affected)
1>
2>
3> --Insert classes rows
4> INSERT Classes VALUES(1,"SQL")
5> INSERT Classes VALUES(999,"Java")
6> GO
(1 rows affected)
(1 rows affected)
1>
2> --Insert Students rows
3> INSERT Students VALUES(1, "Poor", "DBA")
4> INSERT Students VALUES(2, "Better", "DBA")
5> GO
(1 rows affected)
(1 rows affected)
1>
2> --Insert ClassGrades rows
3> INSERT ClassGrades VALUES(1, 1, "C+")
4> INSERT ClassGrades VALUES(1, 2, "A+")
5> INSERT ClassGrades VALUES(999, 2, "A")
6> GO
(1 rows affected)
(1 rows affected)
(1 rows affected)
1>
2> UPDATE Classes
3> SET ClassID = 998,
4> ClassTitle = "Java"
5> WHERE ClassID = 999
6> GO
(1 rows affected)
1>
2> SELECT * FROM Classes
3> GO
ClassID ClassTitle
----------- --------------------------------------------------
1 SQL
998 Java
(2 rows affected)
1>
2> drop table ClassGrades;
3> drop table Classes;
4> drop table Students;
5> GO</source>

SQL Server/T-SQL Tutorial/Table Join

2010-05-26T10:25:23Z

Admin: 1 версия

* [[SQL Server/T-SQL Tutorial/Table Join/APPLY | APPLY]]
* [[SQL Server/T-SQL Tutorial/Table Join/Cross Join | Cross Join]]
* [[SQL Server/T-SQL Tutorial/Table Join/Inner join | Inner join]]
* [[SQL Server/T-SQL Tutorial/Table Join/LEFT OUTER JOIN | LEFT OUTER JOIN]]
* [[SQL Server/T-SQL Tutorial/Table Join/Left Join | Left Join]]
* [[SQL Server/T-SQL Tutorial/Table Join/MERGE | MERGE]]
* [[SQL Server/T-SQL Tutorial/Table Join/One to many | One to many]]
* [[SQL Server/T-SQL Tutorial/Table Join/RIGHT OUTER JOIN | RIGHT OUTER JOIN]]
* [[SQL Server/T-SQL Tutorial/Table Join/Self join | Self join]]
* [[SQL Server/T-SQL Tutorial/Table Join/Table Join | Table Join]]
* [[SQL Server/T-SQL Tutorial/Table Join/many to many | many to many]]

SQL Server/T-SQL Tutorial/Data Types/Float

2010-05-26T10:25:23Z

Admin: 1 версия

== FLOAT type column==



<source lang="sql">
4> CREATE TABLE project (project_no CHAR(4) NOT NULL,
5> project_name CHAR(15) NOT NULL,
6> budget FLOAT NULL)
7> GO
1>
2> drop table project;
3> GO</source>

SQL Server/T-SQL Tutorial/Data Types/timestamp

2010-05-26T10:25:23Z

Admin: 1 версия

== Convert timestamp to int==



<source lang="sql">
2> CREATE TABLE T (
3> int1 int,
4> bit1 bit NOT NULL DEFAULT 0,
5> rvr1 timestamp,
6> usr1 nvarchar(128) DEFAULT USER,
7> createtime datetime DEFAULT CURRENT_TIMESTAMP
8> )
9> GO
1>
2> INSERT T (int1, bit1) VALUES (3, 1)
3> GO
(1 rows affected)
1> SELECT int1, bit1, usr1,
2> CONVERT(int, rvr1) "Timestamp as int",
3> createtime
4> FROM T
5> GO
int1 bit1 usr1 Timestamp as int createtime
----------- ---- -------------------------------------------------------------------------------------------------------------------------------- ---------------- -----------------------
3 1 dbo 4005 2008-08-17 13:12:03.663
(1 rows affected)
1> drop table t;
2> GO
1></source>

== timestamp type column==



<source lang="sql">
4> CREATE TABLE T (
5> int1 int,
6> bit1 bit NOT NULL DEFAULT 0,
7> rvr1 timestamp,
8> usr1 nvarchar(128) DEFAULT USER,
9> createtime datetime DEFAULT CURRENT_TIMESTAMP
10> )
11> GO
1>
2> INSERT T (int1, bit1) VALUES (3, 1)
3> GO
(1 rows affected)
1> SELECT int1, bit1, usr1,
2> CONVERT(int, rvr1) "Timestamp as int",
3> createtime
4> FROM T
5> GO
int1 bit1 usr1 Timestamp as int createtime
----------- ---- -------------------------------------------------------------------------------------------------------------------------------- ---------------- -----------------------
3 1 dbo 4007 2008-08-17 13:12:04.477
(1 rows affected)
1> drop table t;
2> GO
1>
2></source>

SQL Server/T-SQL Tutorial/Data Types/Smallint

2010-05-26T10:25:23Z

Admin: 1 версия

== Smallint type==



<source lang="sql">
2> CREATE TABLE discounts(
3> discounttype varchar(40) NOT NULL,
4> stor_id char(4) NULL ,
5> lowqty smallint NULL,
6> highqty smallint NULL,
7> discount dec(4,2) NOT NULL
8> )
9> GO
1>
2> insert discounts values("Initial Customer", NULL, NULL, NULL, 10.5)
3> insert discounts values("Volume Discount", NULL, 100, 1000, 6.7)
4> insert discounts values("Customer Discount", "8042", NULL, NULL, 5.0)
5> GO
(1 rows affected)
(1 rows affected)
(1 rows affected)
1>
1> drop table discounts;
2> GO</source>

SQL Server/T-SQL Tutorial/Table Join/Table Join

2010-05-26T10:25:22Z

Admin: 1 версия

== A SELECT statement that joins the Bankers and Billings tables==



<source lang="sql">
8>
9> create table Billings (
10> BankerID INTEGER,
11> BillingNumber INTEGER,
12> BillingDate datetime,
13> BillingTotal INTEGER,
14> TermsID INTEGER,
15> BillingDueDate datetime ,
16> PaymentTotal INTEGER,
17> CreditTotal INTEGER
18>
19> );
20> GO
1>
2> INSERT INTO Billings VALUES (1, 1, "2005-01-22", 165, 1,"2005-04-22",123,321);
3> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (2, 2, "2001-02-21", 165, 1,"2002-02-22",123,321);
2> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (3, 3, "2003-05-02", 165, 1,"2005-04-12",123,321);
2> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (4, 4, "1999-03-12", 165, 1,"2005-04-18",123,321);
2> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (5, 5, "2000-04-23", 165, 1,"2005-04-17",123,321);
2> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (6, 6, "2001-06-14", 165, 1,"2005-04-18",123,321);
2> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (7, 7, "2002-07-15", 165, 1,"2005-04-19",123,321);
2> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (8, 8, "2003-08-16", 165, 1,"2005-04-20",123,321);
2> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (9, 9, "2004-09-17", 165, 1,"2005-04-21",123,321);
2> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (0, 0, "2005-10-18", 165, 1,"2005-04-22",123,321);
2> GO
(1 rows affected)
1>
2>
3> create table Bankers(
4> BankerID Integer,
5> BankerName VARCHAR(20),
6> BankerContactLName VARCHAR(20),
7> BankerContactFName VARCHAR(20),
8> BankerCity VARCHAR(20),
9> BankerState VARCHAR(20),
10> BankerZipCode VARCHAR(20),
11> BankerPhone VARCHAR(20)
12> )
13> GO
1>
2> insert into Bankers values (1, "ABC Inc.","Joe","Smith","Vancouver","BC","11111","111-111-1111");
3> GO
(1 rows affected)
1> insert into Bankers values (2, "DEF Inc.","Red","Rice", "New York", "DE","22222","222-222-2222");
2> GO
(1 rows affected)
1> insert into Bankers values (3, "HJI Inc.","Kit","Cat", "Paris", "CA","33333","333-333-3333");
2> GO
(1 rows affected)
1> insert into Bankers values (4, "QWE Inc.","Git","Black","Regina", "ER","44444","444-444-4444");
2> GO
(1 rows affected)
1> insert into Bankers values (5, "RTY Inc.","Wil","Lee", "Toronto", "YU","55555","555-555-5555");
2> GO
(1 rows affected)
1> insert into Bankers values (6, "YUI Inc.","Ted","Larry","Calgary", "TY","66666","666-666-6666");
2> GO
(1 rows affected)
1> insert into Bankers values (7, "OIP Inc.","Yam","Act", "San Franc","FG","77777","777-777-7777");
2> GO
(1 rows affected)
1> insert into Bankers values (8, "SAD Inc.","Hit","Eat", "Orland", "PO","88888","888-888-8888");
2> GO
(1 rows affected)
1> insert into Bankers values (9, "DFG Inc.","Sad","Lee", "Wisler", "PL","99999","999-999-9999");
2> GO
(1 rows affected)
1> insert into Bankers values (0, "GHJ Inc.","Bit","Lee", "Ticker", "MN","00000","000-000-0000");
2> GO
(1 rows affected)
1>
2>
3>
4> SELECT BillingNumber, BankerName
5> FROM Bankers JOIN Billings
6> ON Bankers.BankerID = Billings.BankerID
7> GO
BillingNumber BankerName
------------- --------------------
1 ABC Inc.
2 DEF Inc.
3 HJI Inc.
4 QWE Inc.
5 RTY Inc.
6 YUI Inc.
7 OIP Inc.
8 SAD Inc.
9 DFG Inc.
0 GHJ Inc.
(10 rows affected)
1>
2> drop table Bankers;
3> drop table Billings;
4> GO</source>

== Forcing the Order of Join Processing==



<source lang="sql">
3>
4> CREATE TABLE Departments(
5> Deptno int NOT NULL CONSTRAINT PK_dept_deptno PRIMARY KEY,
6> deptname varchar(15) NOT NULL
7> )
8> GO
1>
2> CREATE TABLE Jobs(
3> jobid int NOT NULL CONSTRAINT PK_jobs_jobid PRIMARY KEY,
4> jobdesc varchar(15) NOT NULL
5> )
6> GO
1>
2> CREATE TABLE Employees(
3> empid int NOT NULL CONSTRAINT PK_emps_empid PRIMARY KEY,
4> empname varchar(10) NOT NULL,
5> deptno int NULL CONSTRAINT FK_emps_depts REFERENCES Departments(deptno),
6> jobid int NOT NULL CONSTRAINT FK_emps_jobs REFERENCES Jobs(jobid),
7> salary decimal(7,2) NOT NULL
8> )
9> GO
1>
2> INSERT INTO Departments VALUES(100, "sqleing")
3> INSERT INTO Departments VALUES(200, "Production")
4> INSERT INTO Departments VALUES(300, "Marketing")
5> INSERT INTO Departments VALUES(400, "Management")
6> INSERT INTO Jobs VALUES(10, "sqle")
7> INSERT INTO Jobs VALUES(20, "Oracle")
8> INSERT INTO Jobs VALUES(30, "MySQL")
9> INSERT INTO Jobs VALUES(40, "SqlServer")
10> INSERT INTO Employees VALUES(1, "Joe", 400, 30, 3456.00)
11> INSERT INTO Employees VALUES(2, "James", 200, 20, 4325.00)
12> INSERT INTO Employees VALUES(3, "Chris", 100, 10, 8952.00)
13> INSERT INTO Employees VALUES(4, "Rob", 400, 30, 1234.00)
14> INSERT INTO Employees VALUES(5, "Linda", 400, 30, 4567.00)
15> INSERT INTO Employees VALUES(6, "Lisa", NULL, 30, 8765.00)
16> GO
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
1>
2> SELECT
3> empid,
4> empname,
5> salary,
6> E.deptno,
7> deptname,
8> E.jobid,
9> jobdesc
10> FROM
11> Employees AS E
12> JOIN
13> Departments AS D ON E.deptno = D.deptno
14> JOIN
15> Jobs AS J ON E.jobid = J.jobid
16> OPTION(FORCE ORDER)
17>
18> drop table Employees
19> drop table jobs
20> drop table Departments
21> GO
empid empname salary deptno deptname jobid jobdesc
----------- ---------- --------- ----------- --------------- ----------- ---------------
1 Joe 3456.00 400 Management 30 MySQL
2 James 4325.00 200 Production 20 Oracle
3 Chris 8952.00 100 sqleing 10 sqle
4 Rob 1234.00 400 Management 30 MySQL
5 Linda 4567.00 400 Management 30 MySQL
(5 rows affected)
1></source>

== Joining Tables in the FROM Clause (ANSI standard)==



<source lang="sql">
7> CREATE TABLE employee(
8> id INTEGER NOT NULL PRIMARY KEY,
9> first_name VARCHAR(10),
10> last_name VARCHAR(10),
11> salary DECIMAL(10,2),
12> start_Date DATETIME,
13> region VARCHAR(10),
14> city VARCHAR(20)
15> );
16> GO
1> INSERT INTO employee VALUES (1, "Jason" , "Martin", 5890,"2005-03-22","North","Vancouver");
2> INSERT INTO employee VALUES (2, "Alison", "Mathews",4789,"2003-07-21","South","Utown");
3> INSERT INTO employee VALUES (3, "James" , "Smith", 6678,"2001-12-01","North","Paris");
4> INSERT INTO employee VALUES (4, "Celia" , "Rice", 5567,"2006-03-03","South","London");
5> INSERT INTO employee VALUES (5, "Robert", "Black", 4467,"2004-07-02","East","Newton");
6> INSERT INTO employee VALUES (6, "Linda" , "Green" , 6456,"2002-05-19","East","Calgary");
7> INSERT INTO employee VALUES (7, "David" , "Larry", 5345,"2008-03-18","West","New York");
8> INSERT INTO employee VALUES (8, "James" , "Cat", 4234,"2007-07-17","West","Regina");
9> INSERT INTO employee VALUES (9, "Joan" , "Act", 6123,"2001-04-16","North","Toronto");
10> GO
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
1> select * from employee;
2> GO
id first_name last_name salary start_Date region city
----------- ---------- ---------- ------------ ----------------------- ---------- --------------------
1 Jason Martin 5890.00 2005-03-22 00:00:00.000 North Vancouver
2 Alison Mathews 4789.00 2003-07-21 00:00:00.000 South Utown
3 James Smith 6678.00 2001-12-01 00:00:00.000 North Paris
4 Celia Rice 5567.00 2006-03-03 00:00:00.000 South London
5 Robert Black 4467.00 2004-07-02 00:00:00.000 East Newton
6 Linda Green 6456.00 2002-05-19 00:00:00.000 East Calgary
7 David Larry 5345.00 2008-03-18 00:00:00.000 West New York
8 James Cat 4234.00 2007-07-17 00:00:00.000 West Regina
9 Joan Act 6123.00 2001-04-16 00:00:00.000 North Toronto
(9 rows affected)
1>
2> CREATE TABLE title(
3> id INTEGER,
4> job_title VARCHAR(20)
5> );
6> GO
1> INSERT INTO title VALUES (1, "developer");
2> INSERT INTO title VALUES (1, "manager");
3> INSERT INTO title VALUES (2, "tester");
4> INSERT INTO title VALUES (2, "programmer");
5> INSERT INTO title VALUES (3, "boss");
6> INSERT INTO title VALUES (4, "sales");
7> INSERT INTO title VALUES (5, "market");
8> INSERT INTO title VALUES (6, "coder");
9> INSERT INTO title VALUES (7, "tester");
10> INSERT INTO title VALUES (8, "developer");
11> INSERT INTO title VALUES (9, "manager");
12> GO
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
1>
2>
3> SELECT Employee.First_Name, title.job_title
4> FROM Employee INNER JOIN title
5> ON Employee.ID = title.ID
6>
7> drop table employee;
8> drop table title;
9> GO
First_Name job_title
---------- --------------------
Jason developer
Jason manager
Alison tester
Alison programmer
James boss
Celia sales
Robert market
Linda coder
David tester
James developer
Joan manager
(11 rows affected)
1>
2></source>

== Joining Tables in the WHERE Clause (not ANSI standard)==



<source lang="sql">
5> CREATE TABLE employee(
6> id INTEGER NOT NULL PRIMARY KEY,
7> first_name VARCHAR(10),
8> last_name VARCHAR(10),
9> salary DECIMAL(10,2),
10> start_Date DATETIME,
11> region VARCHAR(10),
12> city VARCHAR(20)
13> );
14> GO
1> INSERT INTO employee VALUES (1, "Jason" , "Martin", 5890,"2005-03-22","North","Vancouver");
2> INSERT INTO employee VALUES (2, "Alison", "Mathews",4789,"2003-07-21","South","Utown");
3> INSERT INTO employee VALUES (3, "James" , "Smith", 6678,"2001-12-01","North","Paris");
4> INSERT INTO employee VALUES (4, "Celia" , "Rice", 5567,"2006-03-03","South","London");
5> INSERT INTO employee VALUES (5, "Robert", "Black", 4467,"2004-07-02","East","Newton");
6> INSERT INTO employee VALUES (6, "Linda" , "Green" , 6456,"2002-05-19","East","Calgary");
7> INSERT INTO employee VALUES (7, "David" , "Larry", 5345,"2008-03-18","West","New York");
8> INSERT INTO employee VALUES (8, "James" , "Cat", 4234,"2007-07-17","West","Regina");
9> INSERT INTO employee VALUES (9, "Joan" , "Act", 6123,"2001-04-16","North","Toronto");
10> GO
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
1> select * from employee;
2> GO
id first_name last_name salary start_Date region city
----------- ---------- ---------- ------------ ----------------------- ---------- --------------------
1 Jason Martin 5890.00 2005-03-22 00:00:00.000 North Vancouver
2 Alison Mathews 4789.00 2003-07-21 00:00:00.000 South Utown
3 James Smith 6678.00 2001-12-01 00:00:00.000 North Paris
4 Celia Rice 5567.00 2006-03-03 00:00:00.000 South London
5 Robert Black 4467.00 2004-07-02 00:00:00.000 East Newton
6 Linda Green 6456.00 2002-05-19 00:00:00.000 East Calgary
7 David Larry 5345.00 2008-03-18 00:00:00.000 West New York
8 James Cat 4234.00 2007-07-17 00:00:00.000 West Regina
9 Joan Act 6123.00 2001-04-16 00:00:00.000 North Toronto
(9 rows affected)
1>
2> CREATE TABLE title(
3> id INTEGER,
4> job_title VARCHAR(20)
5> );
6> GO
1> INSERT INTO title VALUES (1, "developer");
2> INSERT INTO title VALUES (1, "manager");
3> INSERT INTO title VALUES (2, "tester");
4> INSERT INTO title VALUES (2, "programmer");
5> INSERT INTO title VALUES (3, "boss");
6> INSERT INTO title VALUES (4, "sales");
7> INSERT INTO title VALUES (5, "market");
8> INSERT INTO title VALUES (6, "coder");
9> INSERT INTO title VALUES (7, "tester");
10> INSERT INTO title VALUES (8, "developer");
11> INSERT INTO title VALUES (9, "manager");
12> GO
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
1>
2>
3> SELECT employee.First_Name, title.job_title
4> FROM Employee, title
5> WHERE employee.ID = title.ID
6> GO
First_Name job_title
---------- --------------------
Jason developer
Jason manager
Alison tester
Alison programmer
James boss
Celia sales
Robert market
Linda coder
David tester
James developer
Joan manager
(11 rows affected)
1>
2>
3> drop table employee;
4> drop table title;
5> GO
1>
2>
3>
4></source>

== Joining three tables.==



<source lang="sql">
4>
5>
6> CREATE TABLE titles(
7> title_id varchar(20),
8> title varchar(80) NOT NULL,
9> type char(12) NOT NULL,
10> pub_id char(4) NULL,
11> price money NULL,
12> advance money NULL,
13> royalty int NULL,
14> ytd_sales int NULL,
15> notes varchar(200) NULL,
16> pubdate datetime NOT NULL
17> )
18> GO
1>
2> insert titles values ("1", "Secrets", "popular_comp", "1389", $20.00, $8000.00, 10, 4095,"Note 1","06/12/94")
3> insert titles values ("2", "The", "business", "1389", $19.99, $5000.00, 10, 4095,"Note 2","06/12/91")
4> insert titles values ("3", "Emotional", "psychology", "0736", $7.99, $4000.00, 10, 3336,"Note 3","06/12/91")
5> insert titles values ("4", "Prolonged", "psychology", "0736", $19.99, $2000.00, 10, 4072,"Note 4","06/12/91")
6> insert titles values ("5", "With", "business", "1389", $11.95, $5000.00, 10, 3876,"Note 5","06/09/91")
7> insert titles values ("6", "Valley", "mod_cook", "0877", $19.99, $0.00, 12, 2032,"Note 6","06/09/91")
8> insert titles values ("7", "Any?", "trad_cook", "0877", $14.99, $8000.00, 10, 4095,"Note 7","06/12/91")
9> insert titles values ("8", "Fifty", "trad_cook", "0877", $11.95, $4000.00, 14, 1509,"Note 8","06/12/91")
10> GO
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
1>
2> CREATE TABLE titleauthor(
3> au_id varchar(20),
4> title_id varchar(20),
5> au_ord tinyint NULL,
6> royaltyper int NULL
7> )
8> GO
1>
2> insert titleauthor values("1", "2", 1, 60)
3> insert titleauthor values("2", "3", 1, 100)
4> insert titleauthor values("3", "4", 1, 100)
5> insert titleauthor values("4", "5", 1, 100)
6> insert titleauthor values("5", "6", 1, 100)
7> insert titleauthor values("6", "7", 2, 40)
8> insert titleauthor values("7", "8", 1, 100)
9> insert titleauthor values("8", "9", 1, 100)
10> GO
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
1>
2>
3> SELECT au_lname, title
4> FROM titles t
5> JOIN titleauthor ta ON ta.title_id = t.title_id
6> JOIN authors a ON a.au_id = ta.au_id
7> WHERE au_lname = "Green"
8> GO
au_lname title
---------------------------------------- --------------------------------------------------------------------------------
(0 rows affected)
1>
2> drop table titles;
3> drop table titleauthor;
4> GO
1></source>

== Joins and Subqueries==



<source lang="sql">
3>
4>
5> CREATE TABLE titles(
6> title_id varchar(20),
7> title varchar(80) NOT NULL,
8> type char(12) NOT NULL,
9> pub_id char(4) NULL,
10> price money NULL,
11> advance money NULL,
12> royalty int NULL,
13> ytd_sales int NULL,
14> notes varchar(200) NULL,
15> pubdate datetime NOT NULL
16> )
17> GO
1>
2> insert titles values ("1", "Secrets", "popular_comp", "1389", $20.00, $8000.00, 10, 4095,"Note 1","06/12/94")
3> insert titles values ("2", "The", "business", "1389", $19.99, $5000.00, 10, 4095,"Note 2","06/12/91")
4> insert titles values ("3", "Emotional", "psychology", "0736", $7.99, $4000.00, 10, 3336,"Note 3","06/12/91")
5> insert titles values ("4", "Prolonged", "psychology", "0736", $19.99, $2000.00, 10, 4072,"Note 4","06/12/91")
6> insert titles values ("5", "With", "business", "1389", $11.95, $5000.00, 10, 3876,"Note 5","06/09/91")
7> insert titles values ("6", "Valley", "mod_cook", "0877", $19.99, $0.00, 12, 2032,"Note 6","06/09/91")
8> insert titles values ("7", "Any?", "trad_cook", "0877", $14.99, $8000.00, 10, 4095,"Note 7","06/12/91")
9> insert titles values ("8", "Fifty", "trad_cook", "0877", $11.95, $4000.00, 14, 1509,"Note 8","06/12/91")
10> GO
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
1>
2> CREATE TABLE sales(
3> stor_id char(4) NOT NULL,
4> ord_num varchar(20) NOT NULL,
5> ord_date datetime NOT NULL,
6> qty smallint NOT NULL,
7> payterms varchar(12) NOT NULL,
8> title_id varchar(80)
9> )
10> GO
1> insert sales values("1", "QA7442.3", "09/13/94", 75, "ON Billing","1")
2> insert sales values("2", "D4482", "09/14/94", 10, "Net 60", "1")
3> insert sales values("3", "N914008", "09/14/94", 20, "Net 30", "2")
4> insert sales values("4", "N914014", "09/14/94", 25, "Net 30", "3")
5> insert sales values("5", "423LL922", "09/14/94", 15, "ON Billing","3")
6> insert sales values("6", "423LL930", "09/14/94", 10, "ON Billing","2")
7> GO
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
1>
2> SELECT titles.title, titles.price
3> FROM titles JOIN sales ON sales.title_id = titles.title_id
4> WHERE sales.qty > 30
5>
6> GO
title price
-------------------------------------------------------------------------------- ---------------------
Secrets 20.0000
(1 rows affected)
1>
2> drop table sales;
3> drop table titles;
4> GO</source>

== Join tables with two columns==



<source lang="sql">
3> CREATE TABLE Orders (
4> OrderID int NOT NULL ,
5> CustomerID nchar (5) NULL ,
6> EmployeeID int NULL ,
7> OrderDate datetime NULL ,
8> RequiredDate datetime NULL ,
9> ShippedDate datetime NULL ,
10> ShipVia int NULL ,
11> Freight money NULL DEFAULT (0),
12> ShipName nvarchar (40) NULL ,
13> ShipAddress nvarchar (60) NULL ,
14> ShipCity nvarchar (15) NULL ,
15> ShipRegion nvarchar (15) NULL ,
16> ShipPostalCode nvarchar (10) NULL ,
17> ShipCountry nvarchar (15) NULL
18> )
19> GO
1>
2> SELECT CustomerID, MIN(OrderDate) AS OrderDate
3> INTO #MinOrderDates
4> FROM Orders
5> GROUP BY CustomerID
6> ORDER BY CustomerID
7> GO
(0 rows affected)
1> SELECT o.CustomerID, o.OrderID, o.OrderDate
2> FROM Orders o
3> JOIN #MinOrderDates t
4> ON o.CustomerID = t.CustomerID
5> AND o.OrderDate = t.OrderDate
6> ORDER BY o.CustomerID
7> GO
CustomerID OrderID OrderDate
---------- ----------- -----------------------
(0 rows affected)
1> DROP TABLE #MinOrderDates
2>
3> drop table orders;
4> GO</source>

== Left and Right Outer Joins==



<source lang="sql">
You can start off with an example of a left outer join.
Retrieve all titles and their associated quantity of sales.
If the title had no sales, you still want to see it listed.
10>
11>
12> CREATE TABLE sales(
13> stor_id char(4) NOT NULL,
14> ord_num varchar(20) NOT NULL,
15> ord_date datetime NOT NULL,
16> qty smallint NOT NULL,
17> payterms varchar(12) NOT NULL,
18> title_id varchar(80)
19> )
20> GO
1> insert sales values("1", "QA7442.3", "09/13/94", 75, "ON Billing","1")
2> insert sales values("2", "D4482", "09/14/94", 10, "Net 60", "1")
3> insert sales values("3", "N914008", "09/14/94", 20, "Net 30", "2")
4> insert sales values("4", "N914014", "09/14/94", 25, "Net 30", "3")
5> insert sales values("5", "423LL922", "09/14/94", 15, "ON Billing","3")
6> insert sales values("6", "423LL930", "09/14/94", 10, "ON Billing","2")
7> GO
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
1>
2> CREATE TABLE titles(
3> title_id varchar(20),
4> title varchar(80) NOT NULL,
5> type char(12) NOT NULL,
6> pub_id char(4) NULL,
7> price money NULL,
8> advance money NULL,
9> royalty int NULL,
10> ytd_sales int NULL,
11> notes varchar(200) NULL,
12> pubdate datetime NOT NULL
13> )
14> GO
1>
2> insert titles values ("1", "Secrets", "popular_comp", "1389", $20.00, $8000.00, 10, 4095,"Note 1","06/12/94")
3> insert titles values ("2", "The", "business", "1389", $19.99, $5000.00, 10, 4095,"Note 2","06/12/91")
4> insert titles values ("3", "Emotional", "psychology", "0736", $7.99, $4000.00, 10, 3336,"Note 3","06/12/91")
5> insert titles values ("4", "Prolonged", "psychology", "0736", $19.99, $2000.00, 10, 4072,"Note 4","06/12/91")
6> insert titles values ("5", "With", "business", "1389", $11.95, $5000.00, 10, 3876,"Note 5","06/09/91")
7> insert titles values ("6", "Valley", "mod_cook", "0877", $19.99, $0.00, 12, 2032,"Note 6","06/09/91")
8> insert titles values ("7", "Any?", "trad_cook", "0877", $14.99, $8000.00, 10, 4095,"Note 7","06/12/91")
9> insert titles values ("8", "Fifty", "trad_cook", "0877", $11.95, $4000.00, 14, 1509,"Note 8","06/12/91")
10> GO
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
1>
2>
3> SELECT sales.qty, titles.title
4> FROM titles LEFT OUTER JOIN sales
5> ON titles.title_id = sales.title_id
6> GO
qty title
------ --------------------------------------------------------------------------------
75 Secrets
10 Secrets
20 The
10 The
25 Emotional
15 Emotional
NULL Prolonged
NULL With
NULL Valley
NULL Any?
NULL Fifty
(11 rows affected)
1>
2> drop table sales;
3> drop table titles;
4> GO
1></source>

== Selecting authors and titles using only joins.==



<source lang="sql">
5>
6> CREATE TABLE titles(
7> title_id varchar(20),
8> title varchar(80) NOT NULL,
9> type char(12) NOT NULL,
10> pub_id char(4) NULL,
11> price money NULL,
12> advance money NULL,
13> royalty int NULL,
14> ytd_sales int NULL,
15> notes varchar(200) NULL,
16> pubdate datetime NOT NULL
17> )
18> GO
1>
2> insert titles values ("1", "Secrets", "popular_comp", "1389", $20.00, $8000.00, 10, 4095,"Note 1","06/12/94")
3> insert titles values ("2", "The", "business", "1389", $19.99, $5000.00, 10, 4095,"Note 2","06/12/91")
4> insert titles values ("3", "Emotional", "psychology", "0736", $7.99, $4000.00, 10, 3336,"Note 3","06/12/91")
5> insert titles values ("4", "Prolonged", "psychology", "0736", $19.99, $2000.00, 10, 4072,"Note 4","06/12/91")
6> insert titles values ("5", "With", "business", "1389", $11.95, $5000.00, 10, 3876,"Note 5","06/09/91")
7> insert titles values ("6", "Valley", "mod_cook", "0877", $19.99, $0.00, 12, 2032,"Note 6","06/09/91")
8> insert titles values ("7", "Any?", "trad_cook", "0877", $14.99, $8000.00, 10, 4095,"Note 7","06/12/91")
9> insert titles values ("8", "Fifty", "trad_cook", "0877", $11.95, $4000.00, 14, 1509,"Note 8","06/12/91")
10> GO
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
1>
2> CREATE TABLE authors(
3> au_id varchar(11),
4> au_lname varchar(40) NOT NULL,
5> au_fname varchar(20) NOT NULL,
6> phone char(12) NOT NULL DEFAULT ("UNKNOWN"),
7> address varchar(40) NULL,
8> city varchar(20) NULL,
9> state char(2) NULL,
10> zip char(5) NULL,
11> contract bit NOT NULL
12> )
13> GO
1> insert authors values("1", "Joe", "Abra", "111 111-1111", "6 St.", "Berkeley", "CA", "11111", 1)
2> insert authors values("2", "Jack", "Majo", "222 222-2222", "3 St.", "Oakland" , "CA", "22222", 1)
3> insert authors values("3", "Pink", "Cherry", "333 333-3333", "5 Ln.", "Vancouver", "BC", "33333", 1)
4> insert authors values("4", "Blue", "Albert", "444 444-4444", "7 Av.", "Vancouver", "BC", "44444", 1)
5> insert authors values("5", "Red", "Anne", "555 555-5555", "6 Av.", "Regina", "SK", "55555", 1)
6> insert authors values("6", "Black", "Michel", "666 666-6666", "3 Pl.", "Regina", "SK", "66666", 1)
7> insert authors values("7", "White", "Sylvia", "777 777-7777", "1 Pl.", "Rockville", "MD", "77777", 1)
8> insert authors values("8", "Yellow","Heather","888 888-8888", "3 Pu", "Vacaville", "CA", "88888", 0)
9> insert authors values("9", "Gold", "Dep", "999 999-9999", "5 Av.", "Oakland", "CA", "99999", 0)
10> insert authors values("10", "Siler", "Dean", "000 000-0000", "4 Av.", "Oakland", "CA", "00000", 1)
11> GO
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
1>
2> CREATE TABLE titleauthor(
3> au_id varchar(20),
4> title_id varchar(20),
5> au_ord tinyint NULL,
6> royaltyper int NULL
7> )
8> GO
1>
2> insert titleauthor values("1", "2", 1, 60)
3> insert titleauthor values("2", "3", 1, 100)
4> insert titleauthor values("3", "4", 1, 100)
5> insert titleauthor values("4", "5", 1, 100)
6> insert titleauthor values("5", "6", 1, 100)
7> insert titleauthor values("6", "7", 2, 40)
8> insert titleauthor values("7", "8", 1, 100)
9> insert titleauthor values("8", "9", 1, 100)
10> GO
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
1>
2> SELECT au_lname, title
3> FROM authors a JOIN titleauthor ta ON a.au_id = ta.au_id
4> JOIN titles t ON t.title_id = ta.title_id
5>
6> GO
au_lname title
---------------------------------------- --------------------------------------------------------------------------------
Joe The
Jack Emotional
Pink Prolonged
Blue With
Red Valley
Black Any?
White Fifty
(7 rows affected)
1>
2> drop table titleauthor;
3> drop table authors;
4> drop table titles;
5> GO
1></source>

== SQL-92 Three-Way Inner Joins==



<source lang="sql">
3>
4> CREATE TABLE Departments(
5> Deptno int NOT NULL CONSTRAINT PK_dept_deptno PRIMARY KEY,
6> deptname varchar(15) NOT NULL
7> )
8> GO
1>
2> CREATE TABLE Jobs(
3> jobid int NOT NULL CONSTRAINT PK_jobs_jobid PRIMARY KEY,
4> jobdesc varchar(15) NOT NULL
5> )
6> GO
1>
2> CREATE TABLE Employees(
3> empid int NOT NULL CONSTRAINT PK_emps_empid PRIMARY KEY,
4> empname varchar(10) NOT NULL,
5> deptno int NULL CONSTRAINT FK_emps_depts REFERENCES Departments(deptno),
6> jobid int NOT NULL,
7> salary decimal(7,2) NOT NULL
8> )
9> GO
1>
2> INSERT INTO Departments VALUES(100, "sqleing")
3> INSERT INTO Departments VALUES(200, "Production")
4> INSERT INTO Departments VALUES(300, "Marketing")
5> INSERT INTO Departments VALUES(400, "Management")
6> INSERT INTO Jobs VALUES(10, "sqle")
7> INSERT INTO Jobs VALUES(20, "Oracle")
8> INSERT INTO Jobs VALUES(30, "MySQL")
9> INSERT INTO Jobs VALUES(40, "SqlServer")
10> INSERT INTO Employees VALUES(1, "Joe", 400, 30, 3456.00)
11> INSERT INTO Employees VALUES(2, "James", 200, 20, 4325.00)
12> INSERT INTO Employees VALUES(3, "Chris", 100, 10, 8952.00)
13> INSERT INTO Employees VALUES(4, "Rob", 400, 30, 1234.00)
14> INSERT INTO Employees VALUES(5, "Linda", 400, 30, 4567.00)
15> INSERT INTO Employees VALUES(6, "Lisa", NULL, 30, 8765.00)
16> GO
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
1>
2>
3>
4> SELECT
5> empid,
6> empname,
7> salary,
8> E.deptno,
9> deptname,
10> E.jobid,
11> jobdesc
12> FROM
13> Employees AS E
14> JOIN
15> Departments AS D ON E.deptno = D.deptno
16> JOIN
17> Jobs AS J ON E.jobid = J.jobid
18>
19> drop table Employees
20> drop table jobs
21> drop table Departments
22> GO
empid empname salary deptno deptname jobid jobdesc
----------- ---------- --------- ----------- --------------- ----------- ---------------
1 Joe 3456.00 400 Management 30 MySQL
2 James 4325.00 200 Production 20 Oracle
3 Chris 8952.00 100 sqleing 10 sqle
4 Rob 1234.00 400 Management 30 MySQL
5 Linda 4567.00 400 Management 30 MySQL
(5 rows affected)</source>

== SQL Server 2005 join types fall into three categories: inner, outer, and cross.==



<source lang="sql">
Inner joins use the INNER JOIN keywords.
INNER JOIN operates by matching common values between two tables.
Only table rows satisfying the join conditions are used to construct the result set. INNER JOINs are the default JOIN type.
You can use just the JOIN keyword in your INNER JOIN operations.
Outer joins have three different join types: LEFT OUTER, RIGHT OUTER, and FULL OUTER joins.
LEFT OUTER and RIGHT OUTER JOINs return rows that match the conditions of the join condition.
LEFT OUTER JOINs return unmatched rows from the first table of the join pair.
RIGHT OUTER JOINs return unmatched rows from the second table of the join pair.
The FULL OUTER JOIN clause returns unmatched rows on both the left and right tables.
A CROSS JOIN returns a Cartesian product when a WHERE clause is not used.
A Cartesian product produces a result set based on every possible combination of rows from the left table, multiplied against the rows in the right table.
If the table A has 7 rows, and the table B has 22 rows, you would receive 154 rows (or 7 times 22) in the query results.</source>

== Table Aliasing==



<source lang="sql">
3>
4> CREATE TABLE employee(
5> id INTEGER NOT NULL PRIMARY KEY,
6> first_name VARCHAR(10),
7> last_name VARCHAR(10),
8> salary DECIMAL(10,2),
9> start_Date DATETIME,
10> region VARCHAR(10),
11> city VARCHAR(20),
12> managerid INTEGER
13> );
14> GO
1> INSERT INTO employee VALUES (1, "Jason" , "Martin", 5890,"2005-03-22","North","Vancouver",3);
2> GO
(1 rows affected)
1> INSERT INTO employee VALUES (2, "Alison", "Mathews",4789,"2003-07-21","South","Utown",4);
2> GO
(1 rows affected)
1> INSERT INTO employee VALUES (3, "James" , "Smith", 6678,"2001-12-01","North","Paris",5);
2> GO
(1 rows affected)
1> INSERT INTO employee VALUES (4, "Celia" , "Rice", 5567,"2006-03-03","South","London",6);
2> GO
(1 rows affected)
1> INSERT INTO employee VALUES (5, "Robert", "Black", 4467,"2004-07-02","East","Newton",7);
2> GO
(1 rows affected)
1> INSERT INTO employee VALUES (6, "Linda" , "Green" , 6456,"2002-05-19","East","Calgary",8);
2> GO
(1 rows affected)
1> INSERT INTO employee VALUES (7, "David" , "Larry", 5345,"2008-03-18","West","New York",9);
2> GO
(1 rows affected)
1> INSERT INTO employee VALUES (8, "James" , "Cat", 4234,"2007-07-17","West","Regina",9);
2> GO
(1 rows affected)
1> INSERT INTO employee VALUES (9, "Joan" , "Act", 6123,"2001-04-16","North","Toronto",10);
2> GO
(1 rows affected)
1>
2> select * from employee;
3> GO
id first_name last_name salary start_Date region city managerid
----------- ---------- ---------- ------------ ----------------------- ---------- -------------------- -----------
1 Jason Martin 5890.00 2005-03-22 00:00:00.000 North Vancouver 3
2 Alison Mathews 4789.00 2003-07-21 00:00:00.000 South Utown 4
3 James Smith 6678.00 2001-12-01 00:00:00.000 North Paris 5
4 Celia Rice 5567.00 2006-03-03 00:00:00.000 South London 6
5 Robert Black 4467.00 2004-07-02 00:00:00.000 East Newton 7
6 Linda Green 6456.00 2002-05-19 00:00:00.000 East Calgary 8
7 David Larry 5345.00 2008-03-18 00:00:00.000 West New York 9
8 James Cat 4234.00 2007-07-17 00:00:00.000 West Regina 9
9 Joan Act 6123.00 2001-04-16 00:00:00.000 North Toronto 10
(9 rows affected)
1>
2>
3> SELECT ID, First_Name FROM Employee AS P
4>
5>
6> drop table employee;
7> GO
ID First_Name
----------- ----------
1 Jason
2 Alison
3 James
4 Celia
5 Robert
6 Linda
7 David
8 James
9 Joan
(9 rows affected)
1>
2></source>

== The result of the previous join is then joined to another table==



<source lang="sql">
3> CREATE TABLE authors(
4> au_id varchar(11),
5> au_lname varchar(40) NOT NULL,
6> au_fname varchar(20) NOT NULL,
7> phone char(12) NOT NULL DEFAULT ("UNKNOWN"),
8> address varchar(40) NULL,
9> city varchar(20) NULL,
10> state char(2) NULL,
11> zip char(5) NULL,
12> contract bit NOT NULL
13> )
14> GO
1> insert authors values("1", "Joe", "Abra", "111 111-1111", "6 St.", "Berkeley", "CA", "11111", 1)
2> insert authors values("2", "Jack", "Majo", "222 222-2222", "3 St.", "Oakland" , "CA", "22222", 1)
3> insert authors values("3", "Pink", "Cherry", "333 333-3333", "5 Ln.", "Vancouver", "BC", "33333", 1)
4> insert authors values("4", "Blue", "Albert", "444 444-4444", "7 Av.", "Vancouver", "BC", "44444", 1)
5> insert authors values("5", "Red", "Anne", "555 555-5555", "6 Av.", "Regina", "SK", "55555", 1)
6> insert authors values("6", "Black", "Michel", "666 666-6666", "3 Pl.", "Regina", "SK", "66666", 1)
7> insert authors values("7", "White", "Sylvia", "777 777-7777", "1 Pl.", "Rockville", "MD", "77777", 1)
8> insert authors values("8", "Yellow","Heather","888 888-8888", "3 Pu", "Vacaville", "CA", "88888", 0)
9> insert authors values("9", "Gold", "Dep", "999 999-9999", "5 Av.", "Oakland", "CA", "99999", 0)
10> insert authors values("10", "Siler", "Dean", "000 000-0000", "4 Av.", "Oakland", "CA", "00000", 1)
11> GO
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
1>
2> CREATE TABLE titles(
3> title_id varchar(20),
4> title varchar(80) NOT NULL,
5> type char(12) NOT NULL,
6> pub_id char(4) NULL,
7> price money NULL,
8> advance money NULL,
9> royalty int NULL,
10> ytd_sales int NULL,
11> notes varchar(200) NULL,
12> pubdate datetime NOT NULL
13> )
14> GO
1>
2> insert titles values ("1", "Secrets", "popular_comp", "1389", $20.00, $8000.00, 10, 4095,"Note 1","06/12/94")
3> insert titles values ("2", "The", "business", "1389", $19.99, $5000.00, 10, 4095,"Note 2","06/12/91")
4> insert titles values ("3", "Emotional", "psychology", "0736", $7.99, $4000.00, 10, 3336,"Note 3","06/12/91")
5> insert titles values ("4", "Prolonged", "psychology", "0736", $19.99, $2000.00, 10, 4072,"Note 4","06/12/91")
6> insert titles values ("5", "With", "business", "1389", $11.95, $5000.00, 10, 3876,"Note 5","06/09/91")
7> insert titles values ("6", "Valley", "mod_cook", "0877", $19.99, $0.00, 12, 2032,"Note 6","06/09/91")
8> insert titles values ("7", "Any?", "trad_cook", "0877", $14.99, $8000.00, 10, 4095,"Note 7","06/12/91")
9> insert titles values ("8", "Fifty", "trad_cook", "0877", $11.95, $4000.00, 14, 1509,"Note 8","06/12/91")
10> GO
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
1>
2> CREATE TABLE titleauthor(
3> au_id varchar(20),
4> title_id varchar(20),
5> au_ord tinyint NULL,
6> royaltyper int NULL
7> )
8> GO
1>
2> insert titleauthor values("1", "2", 1, 60)
3> insert titleauthor values("2", "3", 1, 100)
4> insert titleauthor values("3", "4", 1, 100)
5> insert titleauthor values("4", "5", 1, 100)
6> insert titleauthor values("5", "6", 1, 100)
7> insert titleauthor values("6", "7", 2, 40)
8> insert titleauthor values("7", "8", 1, 100)
9> insert titleauthor values("8", "9", 1, 100)
10> GO
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
1>
2>
3>
4> SELECT
5> "Author"=RTRIM(au_lname) + ", " + au_fname,
6> "Title"=title
7> FROM
8> ( -- JOIN CONDITIONS
9> -- FIRST join authors and titleauthor
10> (authors AS A
11> FULL OUTER JOIN titleauthor AS TA ON A.au_id=TA.au_id
12> )
13> -- The result of the previous join is then joined to titles
14> FULL OUTER JOIN titles AS T ON TA.title_id=T.title_id
15> )
16> WHERE
17> state <> "CA" OR state IS NULL
18> ORDER BY 1
19> GO
Author Title
-------------------------------------------------------------- --------------------------------------------------------------------------------
NULL Secrets
Black, Michel Any?
Black, Michel Any?
Black, Michel Any?
Black, Michel Any?
Blue, Albert With
Blue, Albert With
Blue, Albert With
Blue, Albert With
Pink, Cherry Prolonged
Pink, Cherry Prolonged
Pink, Cherry Prolonged
Pink, Cherry Prolonged
Red, Anne Valley
Red, Anne Valley
Red, Anne Valley
Red, Anne Valley
White, Sylvia Fifty
White, Sylvia Fifty
White, Sylvia Fifty
White, Sylvia Fifty
(21 rows affected)
1>
2>
3> drop table authors;
4> drop table titles;
5> drop table titleauthors;
6> GO
1></source>

== Using the GROUP BY Clause==



<source lang="sql">
4>
5> CREATE TABLE Classification (
6> Classif_ID integer NOT NULL PRIMARY KEY,
7> Classification varchar(25))
8> GO
1>
2> INSERT into Classification VALUES( 1,"Pop")
3> INSERT into Classification VALUES( 2,"Country")
4> INSERT into Classification VALUES( 3,"Alternative")
5> INSERT into Classification VALUES( 4,"Metal")
6> GO
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
1>
2>
3> CREATE TABLE CD (
4> CD_ID integer NOT NULL PRIMARY KEY,
5> CD_Title varchar(40),
6> Composer_ID integer NOT NULL,
7> Classif_ID integer NOT NULL,
8> SalesPrice money,
9> AverageCost money)
10> GO
1> INSERT into CD VALUES(2000,"John",100,1,16.99,6.99)
2> INSERT into CD VALUES(2001,"Chicago 16",107,1,14.99,5.99)
3> INSERT into CD VALUES(2002,"Chicago 17",107,1,14.99,5.99)
4> INSERT into CD VALUES(2003,"Chicago 18",107,1,14.99,5.99)
5> INSERT into CD VALUES(2004,"Greatest Hits",107,1,16.99,7.99)
6> INSERT into CD VALUES(2005,"Midnight",101,3,14.99,5.99)
7> INSERT into CD VALUES(2006,"Mode",115,3,14.99,5.99)
8> INSERT into CD VALUES(2007,"Ultra",115,3,15.99,5.99)
9> INSERT into CD VALUES(2008,"Mindcrime",102,4,14.99,5.99)
10> INSERT into CD VALUES(2009,"Empire",102,4,14.99,5.99)
11> INSERT into CD VALUES(2010,"Land",102,4,12.99,4.99)
12> INSERT into CD VALUES(2011,"Night",103,4,11.99,3.99)
13> INSERT into CD VALUES(2012,"Pyromania",103,4,14.99,5.99)
14> INSERT into CD VALUES(2013,"Hysteria",103,4,14.99,5.99)
15> INSERT into CD VALUES(2014,"Hits",103,4,13.99,4.99)
16> INSERT into CD VALUES(2015,"Hits 2",104,2,15.99,6.99)
17> INSERT into CD VALUES(2016,"Greatest",105,2,14.99,5.99)
18> INSERT into CD VALUES(2017,"Hits 3",106,1,13.99,5.99)
19> INSERT into CD VALUES(2018,"Deep",108,1,12.99,2.99)
20> INSERT into CD VALUES(2019,"Turning",109,1,14.99,5.99)
21> INSERT into CD VALUES(2020,"TheHits",109,1,16.99,7.99)
22> INSERT into CD VALUES(2021,"Cars",110,1,9.99,3.99)
23> INSERT into CD VALUES(2022,"Anthology",110,1,25.99,11.99)
24> INSERT into CD VALUES(2023,"City",110,1,14.99,5.99)
25> INSERT into CD VALUES(2024,"Rick",111,1,11.99,2.99)
26> INSERT into CD VALUES(2025,"Live",112,1,19.99,8.99)
27> INSERT into CD VALUES(2026,"Pat",113,1,16.99,6.99)
28> INSERT into CD VALUES(2027,"Big",114,1,14.99,5.99)
29> INSERT into CD VALUES(2028,"Hurting",114,1,11.99,3.99)
30> INSERT into CD VALUES(2029,"Vol 1",116,1,9.99,2.99)
31> INSERT into CD VALUES(2030,"Vol 2",116,1,9.99,2.99)
32> GO
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
1>
2> SELECT CD.Classif_ID,Classification.Classification,
3> Count(CD.CD_ID) "Total Offerings"
4> FROM CD,Classification
5> WHERE CD.Classif_ID = Classification.Classif_ID
6> GROUP BY CD.Classif_ID,Classification.Classification
7> GO
Classif_ID Classification Total Offerings
----------- ------------------------- ---------------
1 Pop 19
2 Country 2
3 Alternative 3
4 Metal 7
(4 rows affected)
1>
2>
3> drop table Classification;
4> drop table CD;
5> GO</source>

SQL Server/T-SQL Tutorial/Table Join/One to many

2010-05-26T10:25:20Z

Admin: 1 версия

== An one-to-many relation==



<source lang="sql">
3> CREATE TABLE Classes(
4> ClassID int PRIMARY KEY,
5> ClassTitle varchar(50)
6> )
7> GO
1>
2> CREATE TABLE ClassGrades(
3> ClassID int REFERENCES Classes(ClassID)
4> ON UPDATE CASCADE,
5> StudentID int,
6> GradeLetter varchar(2),
7> Constraint PK_ClassGrades
8> PRIMARY KEY(ClassID, StudentID)
9> )
10>
11> INSERT Classes VALUES(1,"SQL")
12> INSERT Classes VALUES(999,"Java")
13> GO
(1 rows affected)
(1 rows affected)
1>
2> INSERT ClassGrades VALUES(1, 1, "C+")
3>
4> INSERT ClassGrades VALUES(1, 2, "A+")
5> INSERT ClassGrades VALUES(999, 2, "A")
6> GO
(1 rows affected)
(1 rows affected)
(1 rows affected)
1>
2>
3> SELECT CG.StudentID, C.ClassTitle, CG.GradeLetter
4> FROM Classes C, ClassGrades CG
5> WHERE C.ClassID = CG.ClassID
6> GO
StudentID ClassTitle GradeLetter
----------- -------------------------------------------------- -----------
1 SQL C+
2 SQL A+
2 Java A
(3 rows affected)
1>
2> UPDATE Classes
3> SET ClassTitle = "The Life of Jesus Christ"
4> WHERE ClassID = 999
5> GO
(1 rows affected)
1>
2> SELECT CG.StudentID, C.ClassTitle, CG.GradeLetter
3> FROM Classes C, ClassGrades CG
4> WHERE C.ClassID = CG.ClassID
5> GO
StudentID ClassTitle GradeLetter
----------- -------------------------------------------------- -----------
1 SQL C+
2 SQL A+
2 The Life of Jesus Christ A
(3 rows affected)
1>
2>
3> drop table ClassGrades;
4> GO
1>
2> drop table Classes;
3> GO</source>

== Enables the changes in the Classes table to propagate to the ClassGrades table==



<source lang="sql">
10> CREATE TABLE Classes(
11> ClassID int PRIMARY KEY,
12> ClassTitle varchar(50)
13> )
14> GO
1>
2> CREATE TABLE ClassGrades(
3> ClassID int REFERENCES Classes(ClassID)
4> ON UPDATE CASCADE,
5> StudentID int,
6> GradeLetter varchar(2),
7> Constraint PK_ClassGrades
8> PRIMARY KEY(ClassID, StudentID)
9> )
10>
11> INSERT Classes VALUES(1,"SQL")
12> INSERT Classes VALUES(999,"Java")
13> GO
(1 rows affected)
(1 rows affected)
1>
2> INSERT ClassGrades VALUES(1, 1, "C+")
3>
4> INSERT ClassGrades VALUES(1, 2, "A+")
5> INSERT ClassGrades VALUES(999, 2, "A")
6> GO
(1 rows affected)
(1 rows affected)
(1 rows affected)
1>
2> SELECT * FROM Classes
3> GO
ClassID ClassTitle
----------- --------------------------------------------------
1 SQL
999 Java
(2 rows affected)
1>
2> UPDATE Classes
3> SET ClassID = 998
4> WHERE ClassID = 999
5> GO
(1 rows affected)
1>
2> SELECT * FROM Classes
3> GO
ClassID ClassTitle
----------- --------------------------------------------------
1 SQL
998 Java
(2 rows affected)
1>
2> SELECT CG.StudentID, C.ClassTitle, CG.GradeLetter
3> FROM Classes C, ClassGrades CG
4> WHERE C.ClassID = CG.ClassID
5> GO
StudentID ClassTitle GradeLetter
----------- -------------------------------------------------- -----------
1 SQL C+
2 SQL A+
2 Java A
(3 rows affected)
1>
2> drop table ClassGrades;
3> GO
1>
2> drop table Classes;
3> GO</source>

SQL Server/T-SQL Tutorial/Table Join/APPLY

2010-05-26T10:25:20Z

Admin: 1 версия

== Using APPLY to Invoke a Table-Valued Function for Each Row==



<source lang="sql">
APPLY is used to invoke a table-valued function for each row of an outer query.
A table-valued function returns a result set based on one or more parameters.
Using APPLY, the input of these parameters are the columns of the left referencing table.
CROSS APPLY works like an INNER JOIN.
Unmatched rows between the left table and the table-valued function do"n appear in the result set.
OUTER APPLY is like an OUTER JOIN.
Non-matched rows are still returned in the result set with NULL values in the function results.

14>
15> CREATE TABLE employee(
16> id INTEGER NOT NULL PRIMARY KEY,
17> first_name VARCHAR(10),
18> last_name VARCHAR(10),
19> salary DECIMAL(10,2),
20> start_Date DATETIME,
21> region VARCHAR(10),
22> city VARCHAR(20),
23> managerid INTEGER
24> );
25> GO
1> INSERT INTO employee VALUES (1, "Jason" , "Martin", 5890,"2005-03-22","North","Vancouver",3);
2> GO
(1 rows affected)
1> INSERT INTO employee VALUES (2, "Alison", "Mathews",4789,"2003-07-21","South","Utown",4);
2> GO
(1 rows affected)
1> INSERT INTO employee VALUES (3, "James" , "Smith", 6678,"2001-12-01","North","Paris",5);
2> GO
(1 rows affected)
1> INSERT INTO employee VALUES (4, "Celia" , "Rice", 5567,"2006-03-03","South","London",6);
2> GO
(1 rows affected)
1> INSERT INTO employee VALUES (5, "Robert", "Black", 4467,"2004-07-02","East","Newton",7);
2> GO
(1 rows affected)
1> INSERT INTO employee VALUES (6, "Linda" , "Green" , 6456,"2002-05-19","East","Calgary",8);
2> GO
(1 rows affected)
1> INSERT INTO employee VALUES (7, "David" , "Larry", 5345,"2008-03-18","West","New York",9);
2> GO
(1 rows affected)
1> INSERT INTO employee VALUES (8, "James" , "Cat", 4234,"2007-07-17","West","Regina",9);
2> GO
(1 rows affected)
1> INSERT INTO employee VALUES (9, "Joan" , "Act", 6123,"2001-04-16","North","Toronto",10);
2> GO
(1 rows affected)
1>
2> select * from employee;
3> GO
id first_name last_name salary start_Date region city managerid
----------- ---------- ---------- ------------ ----------------------- ---------- -------------------- -----------
1 Jason Martin 5890.00 2005-03-22 00:00:00.000 North Vancouver 3
2 Alison Mathews 4789.00 2003-07-21 00:00:00.000 South Utown 4
3 James Smith 6678.00 2001-12-01 00:00:00.000 North Paris 5
4 Celia Rice 5567.00 2006-03-03 00:00:00.000 South London 6
5 Robert Black 4467.00 2004-07-02 00:00:00.000 East Newton 7
6 Linda Green 6456.00 2002-05-19 00:00:00.000 East Calgary 8
7 David Larry 5345.00 2008-03-18 00:00:00.000 West New York 9
8 James Cat 4234.00 2007-07-17 00:00:00.000 West Regina 9
9 Joan Act 6123.00 2001-04-16 00:00:00.000 North Toronto 10
(9 rows affected)
1>
2>
3>
4> CREATE FUNCTION dbo.fn_getByID(@ID int) RETURNS TABLE
5> AS
6> RETURN
7> SELECT first_name
8> FROM employee
9> WHERE ID = @ID
10> GO
1>
2> SELECT w.last_name
3> FROM employee w
4> CROSS APPLY dbo.fn_getByID
5> (w.ID) AS r
6> ORDER BY w.ID;
7> GO
last_name
----------
Martin
Mathews
Smith
Rice
Black
Green
Larry
Cat
Act
(9 rows affected)
1>
2> drop function dbo.fn_getByID;
3> GO
1>
2>
3>
4> drop table employee;
5> GO</source>

SQL Server/T-SQL Tutorial/Table Join/Cross Join

2010-05-26T10:25:20Z

Admin: 1 версия

== Cross Join with itself==



<source lang="sql">
4>
5> CREATE TABLE Candidates(
6> candname varchar(10) NOT NULL,
7> gender char(1) NOT NULL CONSTRAINT CHK_gender CHECK (gender IN("F", "M"))
8> )
9> INSERT INTO Candidates VALUES("A", "M")
10> INSERT INTO Candidates VALUES("B", "M")
11> INSERT INTO Candidates VALUES("C", "F")
12> INSERT INTO Candidates VALUES("D", "F")
13>
14> SELECT
15> T1.candname,
16> T2.candname
17> FROM
18> Candidates AS T1
19> CROSS JOIN
20> Candidates AS T2
21> GO
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
candname candname
---------- ----------
A A
B A
C A
D A
A B
B B
C B
D B
A C
B C
C C
D C
A D
B D
C D
D D
(16 rows affected)
1>
2> drop table candidates
3> GO</source>

== it is the Cartesian product of all the rows from all tables participating in the SELECT statement==



<source lang="sql">
8>
9>
10> CREATE TABLE titles(
11> title_id varchar(20),
12> title varchar(80) NOT NULL,
13> type char(12) NOT NULL,
14> pub_id char(4) NULL,
15> price money NULL,
16> advance money NULL,
17> royalty int NULL,
18> ytd_sales int NULL,
19> notes varchar(200) NULL,
20> pubdate datetime NOT NULL
21> )
22> GO
1>
2> insert titles values ("1", "Secrets", "popular_comp", "1389", $20.00, $8000.00, 10, 4095,"Note 1","06/12/94")
3> insert titles values ("2", "The", "business", "1389", $19.99, $5000.00, 10, 4095,"Note 2","06/12/91")
4> insert titles values ("3", "Emotional", "psychology", "0736", $7.99, $4000.00, 10, 3336,"Note 3","06/12/91")
5> insert titles values ("4", "Prolonged", "psychology", "0736", $19.99, $2000.00, 10, 4072,"Note 4","06/12/91")
6> insert titles values ("5", "With", "business", "1389", $11.95, $5000.00, 10, 3876,"Note 5","06/09/91")
7> insert titles values ("6", "Valley", "mod_cook", "0877", $19.99, $0.00, 12, 2032,"Note 6","06/09/91")
8> insert titles values ("7", "Any?", "trad_cook", "0877", $14.99, $8000.00, 10, 4095,"Note 7","06/12/91")
9> insert titles values ("8", "Fifty", "trad_cook", "0877", $11.95, $4000.00, 14, 1509,"Note 8","06/12/91")
10> GO
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
1>
2> CREATE TABLE titleauthor(
3> au_id varchar(20),
4> title_id varchar(20),
5> au_ord tinyint NULL,
6> royaltyper int NULL
7> )
8> GO
1>
2> insert titleauthor values("1", "2", 1, 60)
3> insert titleauthor values("2", "3", 1, 100)
4> insert titleauthor values("3", "4", 1, 100)
5> insert titleauthor values("4", "5", 1, 100)
6> insert titleauthor values("5", "6", 1, 100)
7> insert titleauthor values("6", "7", 2, 40)
8> insert titleauthor values("7", "8", 1, 100)
9> insert titleauthor values("8", "9", 1, 100)
10> GO
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
1>
2>
3> CREATE TABLE authors(
4> au_id varchar(11),
5> au_lname varchar(40) NOT NULL,
6> au_fname varchar(20) NOT NULL,
7> phone char(12) NOT NULL DEFAULT ("UNKNOWN"),
8> address varchar(40) NULL,
9> city varchar(20) NULL,
10> state char(2) NULL,
11> zip char(5) NULL,
12> contract bit NOT NULL
13> )
14> GO
1> insert authors values("1", "Joe", "Abra", "111 111-1111", "6 St.", "Berkeley", "CA", "11111", 1)
2> insert authors values("2", "Jack", "Majo", "222 222-2222", "3 St.", "Oakland" , "CA", "22222", 1)
3> insert authors values("3", "Pink", "Cherry", "333 333-3333", "5 Ln.", "Vancouver", "BC", "33333", 1)
4> insert authors values("4", "Blue", "Albert", "444 444-4444", "7 Av.", "Vancouver", "BC", "44444", 1)
5> insert authors values("5", "Red", "Anne", "555 555-5555", "6 Av.", "Regina", "SK", "55555", 1)
6> insert authors values("6", "Black", "Michel", "666 666-6666", "3 Pl.", "Regina", "SK", "66666", 1)
7> insert authors values("7", "White", "Sylvia", "777 777-7777", "1 Pl.", "Rockville", "MD", "77777", 1)
8> insert authors values("8", "Yellow","Heather","888 888-8888", "3 Pu", "Vacaville", "CA", "88888", 0)
9> insert authors values("9", "Gold", "Dep", "999 999-9999", "5 Av.", "Oakland", "CA", "99999", 0)
10> insert authors values("10", "Siler", "Dean", "000 000-0000", "4 Av.", "Oakland", "CA", "00000", 1)
11> GO
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
1>
2> SELECT au_lname, title
3> FROM authors CROSS JOIN titles
4> GO
au_lname title
---------------------------------------- --------------------------------------------------------------------------------
Joe Secrets
Jack Secrets
Pink Secrets
Blue Secrets
Red Secrets
Black Secrets
White Secrets
Yellow Secrets
Gold Secrets
Siler Secrets
Joe The
Jack The
Pink The
Blue The
Red The
Black The
White The
Yellow The
Gold The
Siler The
Joe Emotional
Jack Emotional
Pink Emotional
Blue Emotional
Red Emotional
Black Emotional
White Emotional
Yellow Emotional
Gold Emotional
Siler Emotional
Joe Prolonged
Jack Prolonged
Pink Prolonged
Blue Prolonged
Red Prolonged
Black Prolonged
White Prolonged
Yellow Prolonged
Gold Prolonged
Siler Prolonged
Joe With
Jack With
Pink With
Blue With
Red With
Black With
White With
Yellow With
Gold With
Siler With
Joe Valley
Jack Valley
Pink Valley
Blue Valley
Red Valley
Black Valley
White Valley
Yellow Valley
Gold Valley
Siler Valley
Joe Any?
Jack Any?
Pink Any?
Blue Any?
Red Any?
Black Any?
White Any?
Yellow Any?
Gold Any?
Siler Any?
Joe Fifty
Jack Fifty
Pink Fifty
Blue Fifty
Red Fifty
Black Fifty
White Fifty
Yellow Fifty
Gold Fifty
Siler Fifty
(80 rows affected)
1>
2> drop table authors;
3> drop table titleauthor;
4> drop table titles;
5> GO</source>

== Matching Couples Using a Cross Join; Couples with Different Genders==



<source lang="sql">
3>
4> CREATE TABLE Candidates(
5> candname varchar(10) NOT NULL,
6> gender char(1) NOT NULL CONSTRAINT CHK_gender CHECK (gender IN("F", "M"))
7> )
8> INSERT INTO Candidates VALUES("A" , "M")
9> INSERT INTO Candidates VALUES("B" , "M")
10> INSERT INTO Candidates VALUES("C", "F")
11> INSERT INTO Candidates VALUES("D" , "F")
12>
13>
14> SELECT
15> T1.candname,
16> T2.candname
17> FROM
18> Candidates AS T1
19> CROSS JOIN
20> Candidates AS T2
21> WHERE
22> T1.gender <> T2.gender
23>
24> drop table Candidates
25> GO
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
candname candname
---------- ----------
C A
D A
C B
D B
A C
B C
A D
B D
(8 rows affected)</source>

== SQL-92 Cross Join Syntax==



<source lang="sql">
4> CREATE TABLE Departments(
5> Deptno int NOT NULL CONSTRAINT PK_dept_deptno PRIMARY KEY,
6> deptname varchar(15) NOT NULL
7> )
8> GO
1>
2> CREATE TABLE Jobs(
3> jobid int NOT NULL CONSTRAINT PK_jobs_jobid PRIMARY KEY,
4> jobdesc varchar(15) NOT NULL
5> )
6> GO
1>
2> INSERT INTO Departments VALUES(100, "sqleing")
3> INSERT INTO Departments VALUES(200, "Production")
4> INSERT INTO Departments VALUES(300, "Marketing")
5> INSERT INTO Departments VALUES(400, "Management")
6> INSERT INTO Jobs VALUES(10, "sqle")
7> INSERT INTO Jobs VALUES(20, "Oracle")
8> INSERT INTO Jobs VALUES(30, "MySQL")
9> INSERT INTO Jobs VALUES(40, "SqlServer")
10> GO
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
1>
2>
3> SELECT
4> deptname,
5> jobdesc
6> FROM
7> Departments
8> CROSS JOIN
9> Jobs
10>
11> drop table Jobs
12> drop table Departments
13> GO
deptname jobdesc
--------------- ---------------
sqleing sqle
Production sqle
Marketing sqle
Management sqle
sqleing Oracle
Production Oracle
Marketing Oracle
Management Oracle
sqleing MySQL
Production MySQL
Marketing MySQL
Management MySQL
sqleing SqlServer
Production SqlServer
Marketing SqlServer
Management SqlServer
(16 rows affected)
1></source>