Oracle PL/SQL Tutorial/System Tables Data Dictionary/user tables — различия между версиями

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Текущая версия на 10:08, 26 мая 2010

30. Create disable trigger command by querying user_triggers table

SQL>
SQL> SELECT   "ALTER TABLE " || table_name || " DISABLE ALL TRIGGERS;"
  2  FROM     user_tables a
  3  WHERE    EXISTS
  4  (SELECT  "X"
  5  FROM     user_triggers
  6  WHERE    table_name = a.table_name)
  7  and      rownum < 2
  8  ORDER BY table_name;
"ALTERTABLE"||TABLE_NAME||"DISABLEALLTRIGGERS;"
----------------------------------------------------------------
ALTER TABLE STUDENT DISABLE ALL TRIGGERS;
SQL>
SQL>


30. Find out the names of the tables you own

SQL>
SQL> --USER_TABLES is a view in the Oracle data dictionary.
SQL>
SQL>
SQL> select table_name from user_tables
  2  /
TABLE_NAME
------------------------------
EMPLOYEE_TAB
EMP_DEPT
PEOPLE
SESSION_TAB
SESS_EVENT
TEMP_ALL_OBJECTS
TRANSACTION_TAB
7 rows selected.
SQL>


30. Getting a list of your own tables

SQL>
SQL>
SQL> SELECT table_name FROM user_tables where rownum < 50;
TABLE_NAME
------------------------------
HAZARD_LEVEL_T
PUBLICATION
DDL_AUDIT
SITE_TAB
HOME_ADDRESS_LIST
HOME_ADDRESES_TAB
I1
T1_TIMES
I2
MAP
AVAIL_TRACE_FILES
PARTS
LOG_TABLE
DUMMY
WORKING_CUSTOMERS
OUTRAIN
INTEREST
TEST_BFILE
P
19 rows selected.
SQL>
SQL>
SQL>


30. Getting Information on Tables

SQL>
SQL> desc user_tables;
 Name                           Null?    Type
 TABLE_NAME                     NOT NULL VARCHAR2(30)
 TABLESPACE_NAME                         VARCHAR2(30)
 CLUSTER_NAME                            VARCHAR2(30)
 IOT_NAME                                VARCHAR2(30)
 STATUS                                  VARCHAR2(8)
 PCT_FREE                                NUMBER
 PCT_USED                                NUMBER
 INI_TRANS                               NUMBER
 MAX_TRANS                               NUMBER
 INITIAL_EXTENT                          NUMBER
 NEXT_EXTENT                             NUMBER
 MIN_EXTENTS                             NUMBER
 MAX_EXTENTS                             NUMBER
 PCT_INCREASE                            NUMBER
 FREELISTS                               NUMBER
 FREELIST_GROUPS                         NUMBER
 LOGGING                                 VARCHAR2(3)
 BACKED_UP                               VARCHAR2(1)
 NUM_ROWS                                NUMBER
 BLOCKS                                  NUMBER
 EMPTY_BLOCKS                            NUMBER
 AVG_SPACE                               NUMBER
 CHAIN_CNT                               NUMBER
 AVG_ROW_LEN                             NUMBER
 AVG_SPACE_FREELIST_BLOCKS               NUMBER
 NUM_FREELIST_BLOCKS                     NUMBER
 DEGREE                                  VARCHAR2(10)
 INSTANCES                               VARCHAR2(10)
 CACHE                                   VARCHAR2(5)
 TABLE_LOCK                              VARCHAR2(8)
 SAMPLE_SIZE                             NUMBER
 LAST_ANALYZED                           DATE
 PARTITIONED                             VARCHAR2(3)
 IOT_TYPE                                VARCHAR2(12)
 TEMPORARY                               VARCHAR2(1)
 SECONDARY                               VARCHAR2(1)
 NESTED                                  VARCHAR2(3)
 BUFFER_POOL                             VARCHAR2(7)
 ROW_MOVEMENT                            VARCHAR2(8)
 GLOBAL_STATS                            VARCHAR2(3)
 USER_STATS                              VARCHAR2(3)
 DURATION                                VARCHAR2(15)
 SKIP_CORRUPT                            VARCHAR2(8)
 MONITORING                              VARCHAR2(3)
 CLUSTER_OWNER                           VARCHAR2(30)
 DEPENDENCIES                            VARCHAR2(8)
 COMPRESSION                             VARCHAR2(8)
 DROPPED                                 VARCHAR2(3)
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  /
Table created.
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> SELECT table_name, tablespace_name, temporary
  2  FROM user_tables
  3  WHERE table_name IN ("EMPLOYEE");
TABLE_NAME                     TABLESPACE_NAME                T
------------------------------ ------------------------------ -
EMPLOYEE                       SYSTEM                         N
SQL>
SQL>
SQL> -- clean the table
SQL> drop table Employee
  2  /
Table dropped.
SQL>
SQL>


30. Query user_tables for a table name

SQL>
SQL>
SQL> select table_name from user_tables where table_name like "%REGION1";
no rows selected
SQL>