Oracle PL/SQL Tutorial/SQL PLUS Session Environment/OPTIMIZER MODE — различия между версиями

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Текущая версия на 10:04, 26 мая 2010

alter session set optimizer_index_cost_adj, alter session set optimizer_index_caching

SQL> create table  myTable1
  2  as
  3  select mod(rownum,1000) id, rpad("x",300,"x") data
  4    from all_objects
  5   where rownum <= 5000;
SQL>
SQL> create table  myTable2
  2  as
  3  select rownum id, rpad("x",300,"x") data
  4    from all_objects
  5   where rownum <= 1000;
SQL>
SQL> create index myTable1_idx on myTable1(id);
SQL>
SQL> create index myTable2_idx on myTable2(id);
SQL>
SQL> begin
  2     dbms_stats.gather_table_stats( user, "myTable1", method_opt => "for all indexed columns",cascade=>true );
  3     dbms_stats.gather_table_stats( user, "myTable2", method_opt => "for all indexed columns",cascade=>true );
  4  end;
  5  /
SQL> set autotrace traceonly  explain
SQL>
SQL> select *
  2    from myTable1, myTable2
  3   where myTable1.id = myTable2.id
  4     and myTable2.id between 5 and 55;
Execution Plan
----------------------------------------------------------
Plan hash value: 3784280921
------------------------------------------------------------------------------
| Id  | Operation                     | Name         | Rows  | Bytes | Cost  |
------------------------------------------------------------------------------
|   0 | SELECT STATEMENT              |              |    56 | 20664 |   260 |
|   1 |  TABLE ACCESS BY INDEX ROWID  | MYTABLE1     |     1 |   178 |     5 |
|   2 |   NESTED LOOPS                |              |    56 | 20664 |   260 |
|   3 |    TABLE ACCESS BY INDEX ROWID| MYTABLE2     |    51 |  9741 |     5 |
|*  4 |     INDEX RANGE SCAN          | MYTABLE2_IDX |    51 |       |     2 |
|*  5 |    INDEX RANGE SCAN           | MYTABLE1_IDX |     1 |       |       |
------------------------------------------------------------------------------
Predicate Information (identified by operation id):
---------------------------------------------------
   4 - access("MYTABLE2"."ID">=5 AND "MYTABLE2"."ID"<=55)
   5 - access("MYTABLE1"."ID"="MYTABLE2"."ID")
       filter("MYTABLE1"."ID">=5 AND "MYTABLE1"."ID"<=55)
Note
-----
   - cpu costing is off (consider enabling it)
SQL>
SQL> alter session set optimizer_index_cost_adj = 50;
SQL>
SQL> alter session set optimizer_index_caching = 0;
SQL>
SQL> select *
  2    from myTable1, myTable2
  3   where myTable1.id = myTable2.id
  4     and myTable2.id between 5 and 55;
Execution Plan
----------------------------------------------------------
Plan hash value: 3784280921
------------------------------------------------------------------------------
| Id  | Operation                     | Name         | Rows  | Bytes | Cost  |
------------------------------------------------------------------------------
|   0 | SELECT STATEMENT              |              |    56 | 20664 |   156 |
|   1 |  TABLE ACCESS BY INDEX ROWID  | MYTABLE1     |     1 |   178 |     3 |
|   2 |   NESTED LOOPS                |              |    56 | 20664 |   156 |
|   3 |    TABLE ACCESS BY INDEX ROWID| MYTABLE2     |    51 |  9741 |     3 |
|*  4 |     INDEX RANGE SCAN          | MYTABLE2_IDX |    51 |       |     1 |
|*  5 |    INDEX RANGE SCAN           | MYTABLE1_IDX |     1 |       |     1 |
------------------------------------------------------------------------------
Predicate Information (identified by operation id):
---------------------------------------------------
   4 - access("MYTABLE2"."ID">=5 AND "MYTABLE2"."ID"<=55)
   5 - access("MYTABLE1"."ID"="MYTABLE2"."ID")
       filter("MYTABLE1"."ID">=5 AND "MYTABLE1"."ID"<=55)
Note
-----
   - cpu costing is off (consider enabling it)
SQL>
SQL> set autotrace off
SQL>
SQL>
SQL> drop table myTable1;
SQL> drop table myTable2;
SQL>


alter session set optimizer_max_permutations=80000

SQL> create table t as select mod(object_id,10) id, a.* from all_objects a;
SQL>
SQL> analyze table t compute statistics
  2  for table
  3  for columns id;
SQL>
SQL>
SQL>
SQL> alter session set optimizer_max_permutations=80000;
SQL>
SQL> explain plan for
  2  select count(*)
  3    from t t1, t t2, t t3, t t4, t t5, t t6
  4   where t1.id = t2.id
  5     and t1.id = t3.id
  6     and t1.id = t4.id
  7     and t1.id = t5.id
  8     and t1.id = t6.id;
SQL>
SQL> set autotrace off
SQL>
SQL>
SQL> drop table t;


alter session set optimizer_mode=all_rows

SQL> create table myTable
  2  as
  3  select rownum id, a.*
  4    from all_objects a
  5   where 1=0
  6  /
SQL>
SQL>
SQL>
SQL> set autotrace traceonly explain
SQL>
SQL> alter session set optimizer_mode=all_rows;
SQL>
SQL> select t1.object_name, t2.object_name
  2    from myTable t1, myTable t2
  3   where t1.object_id = t2.object_id
  4     and t1.owner = "WMSYS"
  5  /
Execution Plan
----------------------------------------------------------
Plan hash value: 2666611345
--------------------------------------------------------------
| Id  | Operation          | Name    | Rows  | Bytes | Cost  |
--------------------------------------------------------------
|   0 | SELECT STATEMENT   |         |     1 |    77 |     3 |
|*  1 |  HASH JOIN         |         |     1 |    77 |     3 |
|*  2 |   TABLE ACCESS FULL| MYTABLE |     1 |    47 |     1 |
|   3 |   TABLE ACCESS FULL| MYTABLE |    82 |  2460 |     1 |
--------------------------------------------------------------
Predicate Information (identified by operation id):
---------------------------------------------------
   1 - access("T1"."OBJECT_ID"="T2"."OBJECT_ID")
   2 - filter("T1"."OWNER"="WMSYS")
Note
-----
   - cpu costing is off (consider enabling it)
SQL>
SQL> set autotrace off
SQL>
SQL>
SQL> drop table myTable;
SQL>
SQL>


alter session set OPTIMIZER_MODE = choose

SQL>
SQL>
SQL> -- create demo table
SQL> create table Employee(
  2    ID                 VARCHAR2(4 BYTE)         NOT NULL primary key,
  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

ID   FIRST_NAME           LAST_NAME            START_DAT END_DATE      SALARY CITY       DESCRIPTION
---- -------------------- -------------------- --------- --------- ---------- ---------- ---------------
08   James                Cat                  17-SEP-96 15-APR-02    1232.78 Vancouver  Tester
8 rows selected.
SQL>
SQL> begin
  2           dbms_stats.set_table_stats
  3           ( user, "EMPLOYEE", numrows => 10000000, numblks => 1000000 );
  4      end;
  5      /
PL/SQL procedure successfully completed.
SQL> select * from employee;

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
 alter session set OPTIMIZER_MODE = RULE;
ID   FIRST_NAME           LAST_NAME            START_DAT END_DATE      SALARY CITY       DESCRIPTION
---- -------------------- -------------------- --------- --------- ---------- ---------- ---------------
08   James                Cat                  17-SEP-96 15-APR-02    1232.78 Vancouver  Tester
8 rows selected.
SQL>
SQL> select * from employee;

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

ID   FIRST_NAME           LAST_NAME            START_DAT END_DATE      SALARY CITY       DESCRIPTION
---- -------------------- -------------------- --------- --------- ---------- ---------- ---------------
08   James                Cat                  17-SEP-96 15-APR-02    1232.78 Vancouver  Tester
8 rows selected.
SQL> alter session set OPTIMIZER_MODE = choose;
Session altered.
SQL>
SQL> -- clean the table
SQL> drop table Employee
  2  /
Table dropped.


alter session set optimizer_mode=first_rows

SQL>
SQL>
SQL>
SQL> create table myTable
  2  as
  3  select rownum id, a.*
  4    from all_objects a
  5   where 1=0
  6  /
SQL>
SQL>
SQL>
SQL> alter session set optimizer_mode=first_rows;
SQL>
SQL> select t1.object_name, t2.object_name
  2    from myTable t1, myTable t2
  3   where t1.object_id = t2.object_id
  4     and t1.owner = "WMSYS"
  5  /
SQL> alter session set sql_trace=true;
SQL> drop table myTable;