Oracle PL/SQL Tutorial/Query Select/Introduction — различия между версиями
Admin (обсуждение | вклад) м (1 версия) |
(нет различий)
|
Текущая версия на 10:11, 26 мая 2010
A SELECT with Just a FROM Clause
SQL>
SQL> -- create demo table
SQL> create table Employee(
2 ID VARCHAR2(4 BYTE) NOT NULL,
3 First_Name VARCHAR2(10 BYTE),
4 Last_Name VARCHAR2(10 BYTE),
5 Start_Date DATE,
6 End_Date DATE,
7 Salary Number(8,2),
8 City VARCHAR2(10 BYTE),
9 Description VARCHAR2(15 BYTE)
10 )
11 /
SQL>
SQL> -- prepare data
SQL> insert into Employee(ID, First_Name, Last_Name, Start_Date, End_Date, Salary, City, Description)
2 values ("01","Jason", "Martin", to_date("19960725","YYYYMMDD"), to_date("20060725","YYYYMMDD"), 1234.56, "Toronto", "Programmer")
3 /
1 row created.
SQL> insert into Employee(ID, First_Name, Last_Name, Start_Date, End_Date, Salary, City, Description)
2 values("02","Alison", "Mathews", to_date("19760321","YYYYMMDD"), to_date("19860221","YYYYMMDD"), 6661.78, "Vancouver","Tester")
3 /
1 row created.
SQL> insert into Employee(ID, First_Name, Last_Name, Start_Date, End_Date, Salary, City, Description)
2 values("03","James", "Smith", to_date("19781212","YYYYMMDD"), to_date("19900315","YYYYMMDD"), 6544.78, "Vancouver","Tester")
3 /
1 row created.
SQL> insert into Employee(ID, First_Name, Last_Name, Start_Date, End_Date, Salary, City, Description)
2 values("04","Celia", "Rice", to_date("19821024","YYYYMMDD"), to_date("19990421","YYYYMMDD"), 2344.78, "Vancouver","Manager")
3 /
1 row created.
SQL> insert into Employee(ID, First_Name, Last_Name, Start_Date, End_Date, Salary, City, Description)
2 values("05","Robert", "Black", to_date("19840115","YYYYMMDD"), to_date("19980808","YYYYMMDD"), 2334.78, "Vancouver","Tester")
3 /
1 row created.
SQL> insert into Employee(ID, First_Name, Last_Name, Start_Date, End_Date, Salary, City, Description)
2 values("06","Linda", "Green", to_date("19870730","YYYYMMDD"), to_date("19960104","YYYYMMDD"), 4322.78,"New York", "Tester")
3 /
1 row created.
SQL> insert into Employee(ID, First_Name, Last_Name, Start_Date, End_Date, Salary, City, Description)
2 values("07","David", "Larry", to_date("19901231","YYYYMMDD"), to_date("19980212","YYYYMMDD"), 7897.78,"New York", "Manager")
3 /
1 row created.
SQL> insert into Employee(ID, First_Name, Last_Name, Start_Date, End_Date, Salary, City, Description)
2 values("08","James", "Cat", to_date("19960917","YYYYMMDD"), to_date("20020415","YYYYMMDD"), 1232.78,"Vancouver", "Tester")
3 /
1 row created.
SQL>
SQL>
SQL>
SQL> -- display data in the table
SQL> select * from Employee
2 /
ID FIRST_NAME LAST_NAME START_DAT END_DATE SALARY CITY DESCRIPTION
---- ---------- ---------- --------- --------- ---------- ---------- ---------------
01 Jason Martin 25-JUL-96 25-JUL-06 1234.56 Toronto Programmer
02 Alison Mathews 21-MAR-76 21-FEB-86 6661.78 Vancouver Tester
03 James Smith 12-DEC-78 15-MAR-90 6544.78 Vancouver Tester
04 Celia Rice 24-OCT-82 21-APR-99 2344.78 Vancouver Manager
05 Robert Black 15-JAN-84 08-AUG-98 2334.78 Vancouver Tester
06 Linda Green 30-JUL-87 04-JAN-96 4322.78 New York Tester
07 David Larry 31-DEC-90 12-FEB-98 7897.78 New York Manager
08 James Cat 17-SEP-96 15-APR-02 1232.78 Vancouver Tester
8 rows selected.
SQL>
SQL>
SQL>
SQL> SELECT id, first_name, salary FROM employee
2 /
ID FIRST_NAME SALARY
---- ---------- ----------
01 Jason 1234.56
02 Alison 6661.78
03 James 6544.78
04 Celia 2344.78
05 Robert 2334.78
06 Linda 4322.78
07 David 7897.78
08 James 1232.78
8 rows selected.
SQL>
SQL> -- clean the table
SQL> drop table Employee
2 /
Table dropped.
SQL>
Subquery with comparison operator
SQL>
SQL>
SQL> SELECT COUNT(*) num_owned, a.owner
2 FROM dba_objects a
3 WHERE 100<(SELECT COUNT(*) FROM dba_objects b
4 WHERE a.owner=b.owner)
5 GROUP BY a.owner;
NUM_OWNED OWNER
---------- ------------------------------
473 MDSYS
1143 FLOWS_020100
2769 PUBLIC
575 sqle
339 CTXSYS
449 SYSTEM
668 XDB
6631 SYS
8 rows selected.
Using the SQL Operators
The SQL operators allow you to limit rows based on
- pattern matching of strings,
- lists of values,
- ranges of values, and
- null values.
The SQL operators are listed in the following table:
Operator Description LIKE Matches patterns in strings IN Matches lists of values BETWEEN Matches a range of values IS NULL Matches null values IS NAN New for Oracle10g. Matches the NaN special value, which means "not a number" IS INFINITE New for Oracle10g. Matches infinite BINARY_FLOAT and BINARY_DOUBLE values
You can also use the NOT operator to reverse the meaning of LIKE, IN, BETWEEN, and IS NULL:
- NOT LIKE
- NOT IN
- NOT BETWEEN
- IS NOT NULL
- IS NOT NAN
- IS NOT INFINITE
SQL>
SQL> SELECT COUNT(*) num_owned, a.owner
2 FROM dba_objects a
3 WHERE 10<(SELECT COUNT(*) FROM dba_objects b
4 WHERE a.owner=b.owner)
5 GROUP BY a.owner;
NUM_OWNED OWNER
---------- ------------------------------
473 MDSYS
1143 FLOWS_020100
2769 PUBLIC
575 sqle
339 CTXSYS
34 HR
12 FLOWS_FILES
449 SYSTEM
46 DBSNMP
668 XDB
6631 SYS
11 rows selected.