这篇文章主要介绍数据库中sql plan baseline怎么用，文中介绍的非常详细，具有一定的参考价值，感兴趣的小伙伴们一定要看完！

测试内容：

1、dba_sql_plan_baselines表中和时间有关的四个字段CREATED，LAST_MODIFIED，LAST_EXECUTED，LAST_VERIFIED的变化规律

2、候选sql plan变为acceptedsql plan baseline的几种方法

3、SQL语句对应的sql plan baseline均失效的情况下Optimizer将新生成的执行计划演进为sql plan baseline的过程

4、不同用户针对各自用户下的表，执行同一条sql语句， sql planbaseline的共享机制

建立测试用表：

grant connect,resource,unlimited tablespace to scottidentified by sdfg_1234;

create table scott.t1 tablespace ts_pub as select *from dba_objects;

create table scott.t2 tablespace ts_pub as select *from dba_objects where rownum<100;

execdbms_stats.gather_table_stats(ownname=>'scott',tabname=>'t1',method_opt=>'forall columns size 1',cascade=>TRUE,no_invalidate=>FALSE);

exec dbms_stats.gather_table_stats(ownname=>'scott',tabname=>'t2',method_opt=>'forall columns size 1',cascade=>TRUE,no_invalidate=>FALSE);

1、dba_sql_plan_baselines表中和时间有关字段的变化规律，涉及到以下4个字段

CREATED

LAST_MODIFIED

LAST_EXECUTED

LAST_VERIFIED

###开启session级的sql capture，自动生成首条sql plan baseline

--session 1，设置Session级的capture

SQL>select * from dba_sql_plan_baselines;

no rows selected

alter system optimizer_capture_sql_plan_baselines=TRUE;

select count(*) from scott.t1 where object_id in (selectobject_id from scott.t2);

--session 2，dba_sql_plan_baselines中没有记录，因为上述sql只执行了一次

selectsql_handle,sql_text,plan_name,creator,last_modified,last_executed,last_verifiedfrom dba_sql_plan_baselines;

--session 1，再次执行一遍sql

select count(*) from scott.t1 where object_id in (selectobject_id from scott.t2);

--session 2，dba_sql_plan_baselines产生了首条sql plan baseline，首条初始状态就是accepted

select sql_handle,sql_text,plan_name,enabled,accepted,creator,created,last_modified,last_executed,last_verifiedfrom dba_sql_plan_baselines;


###上述结果中的时间点字段值，last_verified值为空，因为其是这条sql生成的首条baseline所以没有经过验证；因为是新建的sql plan baseline其余三个时间字段值都一样

CREATED：02-JUL-14 02.37.20.000000 PM

LAST_MODIFIED：02-JUL-14 02.37.20.000000 PM

LAST_EXECUTED：02-JUL-14 02.37.20.000000 PM

LAST_VERIFIED：NULL

###上述结果中的时间点字段值，last_verified值为空，因为其是这条sql生成的首条baseline所以没有经过

--session 1，第三次执行sql，执行前关闭sql capture参数

alter session set optimizer_capture_sql_plan_baselines=FALSE;

select count(*) from scott.t1 where object_id in (selectobject_id from scott.t2);

--session 2，观察时间字段状态，CREATED、LAST MODIFIED两个字段值没有变化，这个可以理解，LAST_EXECUTED值应该变化为最近一次的执行时间，但事实却没有变化，即使alter system flush shared_pool以后重新执行语句，也没有变化

selectsql_handle,sql_text,plan_name,enabled,accepted,creator,created,last_modified,last_executed,last_verifiedfrom dba_sql_plan_baselines;

###通过DBMS_XPLAN.DISPLAY_SQL_PLAN_BASELINE查看sql_plan_baseline对应的执行计划为FTS

select * from table(dbms_xplan.display_sql_plan_baseline(sql_handle=>'SQL_d11d993788ae4828',plan_name=>'SQL_PLAN_d27ct6y4awk1822a9c5af'));

PLAN_TABLE_OUTPUT

----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------

--------------------------------------------------------------------------------

SQLhandle: SQL_d11d993788ae4828

SQL text:select count(*) from scott.t1 where object_id in (select object_id from

scott.t2)

--------------------------------------------------------------------------------

--------------------------------------------------------------------------------

Planname: SQL_PLAN_d27ct6y4awk1822a9c5afPlan id: 581551535

Enabled:YES Fixed: NO Accepted: YES Origin: AUTO-CAPTURE

--------------------------------------------------------------------------------

PLAN_TABLE_OUTPUT

----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------

Plan hashvalue: 1240933221

------------------------------------------------------------------------------

| Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time |

------------------------------------------------------------------------------

| 0 | SELECT STATEMENT || 1 | 9 |462 (2)| 00:00:06 |

| 1 |SORT AGGREGATE | |1 | 9 | | |

|* 2 |HASH JOIN RIGHT SEMI| | 3 |27 | 462 (2)| 00:00:06 |

| 3 |TABLE ACCESS FULL | T2 |99 | 297 | 5(0)| 00:00:01 |

| 4 |TABLE ACCESS FULL | T1 |177K| 1042K| 455 (1)|00:00:06 |

PLAN_TABLE_OUTPUT

----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------

------------------------------------------------------------------------------

PredicateInformation (identified by operation id):

---------------------------------------------------

2 -access("OBJECT_ID"="OBJECT_ID")

28 rows selected.

###t1表的object_id字段上创建索引，再次执行sql

createindex scott.ind_objid_t1 on scott.t1(object_id) tablespace ts_pub;

execdbms_stats.gather_table_stats(ownname=>'scott',tabname=>'t1',method_opt=>'forall columns size 1',cascade=>TRUE,no_invalidate=>FALSE);

exec dbms_stats.gather_table_stats(ownname=>'scott',tabname=>'t2',method_opt=>'forall columns size 1',cascade=>TRUE,no_invalidate=>FALSE);

###dba_sql_plan_baselines里又生成了一条plan_name=SQL_PLAN_d27ct6y4awk18b1b38b11(sql_handle与前一条相同的sql)，但没有被accepted的baseline，这条记录的CREATED、LAST_MODIFIED字段表明了该条baseline的创建时间，LAST_EXECUTED、LAST_VERIFIED均为空值

colsql_handle format a20

colcreator format a5

colsql_text format a50

colcreated format a30

collast_modified format a30

collast_executed format a30

collast_verified format a30

setlinesize 190

set pagesize 200

selectsql_handle,sql_text,plan_name,enabled,accepted,creator,created,last_modified,last_executed,last_verifiedfrom dba_sql_plan_baselines;

###执行sql，虽然有索引，但因为baseline的存在，走的依然是FTS

setautotrace traceonly;

SQL>select count(*) from scott.t1 where object_id in (select object_id fromscott.t2);

ExecutionPlan

----------------------------------------------------------

Plan hashvalue: 1240933221

------------------------------------------------------------------------------

| Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time |

------------------------------------------------------------------------------

| 0 | SELECT STATEMENT || 1 | 9 |462 (2)| 00:00:06 |

| 1 |SORT AGGREGATE || 1 | 9 | | |

|* 2 |HASH JOIN RIGHT SEMI| | 3 |27 | 462 (2)| 00:00:06 |

| 3 |TABLE ACCESS FULL | T2 |99 | 297 | 5(0)| 00:00:01 |

| 4 |TABLE ACCESS FULL | T1 |177K| 1042K| 455(1)| 00:00:06 |

------------------------------------------------------------------------------

PredicateInformation (identified by operation id):

---------------------------------------------------

2 -access("OBJECT_ID"="OBJECT_ID")

Note

-----

- SQL plan baseline "SQL_PLAN_d27ct6y4awk1822a9c5af" used for thisstatement

Statistics

----------------------------------------------------------

0recursive calls

0db block gets

2557consistent gets

2556physical reads

0redo size

526bytes sent via SQL*Net to client

519bytes received via SQL*Net from client

2SQL*Net roundtrips to/from client

0sorts (memory)

0sorts (disk)

1rows processed

###人工演进sql plan baseline，根据Buffer Get优化前后的对比2557/11=232.45，得出使用索引的sql plan baseline所获得的性能是FTS的232倍，oracle情况下根据隐含参数_plan_verify_improvement_margin(默认值为150，表示1.5倍)的值决定性能达到原先多少倍时accept新的sql plan baseline，此例中已经达到了232被，所以当让是verified and accepted

setserveroutput on

setlong 10000

declare

result_clobclob;

begin

result_clob:=DBMS_SPM.EVOLVE_SQL_PLAN_BASELINE(sql_handle=>'SQL_d11d993788ae4828',plan_name=>'SQL_PLAN_d27ct6y4awk18b1b38b11',verify=>'YES',commit=>'YES');

dbms_output.put_line(result_clob);

end;

/

-------------------------------------------------------------------------------，

Evolve SQL PlanBaseline

Report

-------------------------------------------------------------------------

------

Inputs:

-------

SQL_HANDLE = SQL_d11d993788ae4828

PLAN_NAME=

SQL_PLAN_d27ct6y4awk18b1b38b11

TIME_LIMIT = DBMS_SPM.AUTO_LIMIT

VERIFY=

YES

COMMIT= YES

Plan:

SQL_PLAN_d27ct6y4awk18b1b38b11

------------------------------------

Plan was

verified:Time used .901 seconds.

Plan passedperformance criterion: 232.77

timesbetter than baseline plan.

Plan was changed to an accepted plan.

BaselinePlan Test Plan Stats Ratio

------------- --------- -----------

Execution Status:

COMPLETE COMPLETE

Rows Processed: 1

1

Elapsed Time(ms): 59.641 .298 200.14

CPUTime(ms): 34.444 0

Buffer Gets:

2557 11 232.45

Physical Read Requests: 0

0

Physical Write Requests: 0 0

Physical Read

Bytes: 0 0

Physical Write Bytes:

0 0

Executions: 1

1

-----------------------------------------------------------------------------

--

Report

Summary

------------------------------------------------------------------------

-------

Number of plans verified: 1

Number of plans accepted: 1

PL/SQL procedure successfully completed.

###查看PLAN_NAME=SQL_PLAN_d27ct6y4awk18b1b38b11对应sql planbaseline，LAST_VERIFIED和

LAST_MODIFIED为同一个时间，LAST_VERIFIED表示在这个时间完成了Verify动作，LAST_MODIFIED表示在

Verify通过后将此baseline从not accepted变为accepted的时间。

CREATED: 02-JUL-14 03.22.41.000000 PM

LAST_MODIFIED: 02-JUL-14 03.44.10.000000 PM

LAST_VERIFIED:02-JUL-14 03.44.10.000000 PM

###执行该SQL后发现last_executed时间已经是最新的时间了

SQL> select count(*) from scott.t1 where object_id in (selectobject_id from scott.t2);

select sql_handle,sql_text,plan_name,enabled,accepted,creator,created,last_modified,last_executed,last_verifiedfrom dba_sql_plan_baselines;

LAST_EXECUTED:02-JUL-14 04.25.33.000000 PM

###用dbms_xplan.display_sql_plan_baseline显示Plan_name=SQL_PLAN_d27ct6y4awk18b1b38b11的执行计划，这次采用的是NestLoop

SQL>select * fromtable(dbms_xplan.display_sql_plan_baseline(sql_handle=>'SQL_d11d993788ae4828',plan_name=>'SQL_PLAN_d27ct6y4awk18b1b38b11'));

PLAN_TABLE_OUTPUT

--------------------------------------------------------------------------------

--------------------------------------------------------------------------------

SQLhandle: SQL_d11d993788ae4828

SQL text:select count(*) from scott.t1 where object_id in (select object_id fro

m

scott.t2)

--------------------------------------------------------------------------------

--------------------------------------------------------------------------------

Planname: SQL_PLAN_d27ct6y4awk18b1b38b11Plan id: 2981333777

PLAN_TABLE_OUTPUT

--------------------------------------------------------------------------------

Enabled:YES Fixed: NO Accepted: YES Origin: AUTO-CAPTURE

--------------------------------------------------------------------------------

Plan hashvalue: 2406492491

--------------------------------------------------------------------------------

-----

| Id | Operation | Name | Rows| Bytes | Cost (%CPU)| Time

|

PLAN_TABLE_OUTPUT

--------------------------------------------------------------------------------

--------------------------------------------------------------------------------

-----

| 0 | SELECT STATEMENT | | 1 |9 | 56 (2)| 00:00

:01 |

| 1 |SORT AGGREGATE | | 1 |9 | |

|

| 2 |NESTED LOOPS | | 99 |891 | 56 (2)| 00:00

:01 |

PLAN_TABLE_OUTPUT

--------------------------------------------------------------------------------

| 3 |SORT UNIQUE | | 99 |297 | 5 (0)| 00:00

:01 |

| 4 |TABLE ACCESS FULL| T2| 99 | 297 |5 (0)| 00:00

:01 |

|* 5 |INDEX RANGE SCAN | IND_OBJID_T1| 1 | 6 |1 (0)| 00:00

:01 |

--------------------------------------------------------------------------------

PLAN_TABLE_OUTPUT

--------------------------------------------------------------------------------

-----

PredicateInformation (identified by operation id):

---------------------------------------------------

5 -access("OBJECT_ID"="OBJECT_ID")

阶段总结：

CREATED：sql plan生成到plan_history的时间(可以是accept或者not accept状态)

LAST_MODIFIED：sql plan上一次修改的时间，这个修改时间反映了sql plan演进过程中将not

accetped的sql plan更新为accepted动作发生的时间，也能反映使用alter_sql_plan_baseline

对于sql plan任何属性更改的时间

LAST_VERIFIED：sql plan最后一次被验证的时间，同一个plan被验证一遍之后如果再重复进

行验证，时间还是停留在首次验证的时间；第一条sql plan自动成为sql plan baseline时其

last_verified时间为空，说明其没有经过verify，即使后续对首条sql plan人工进行演进，其last_verified时间依然为空

LAST_EXECUTED：名义上为最后一次执行的时间，实际测下来定格在首次执行的时间，后续

的执行并不会更新

2、使sql plan变为acceptedsql plan baseline的几种方法

(1) 调用Dbms_spm.evolve_sql_plan_baseline函数，需要人工调用(在12c版本里已经引入sqlplan evolve advisor能实现自动演进sql plan baseline)，这个是最常用的方法，只做如下说明：

其中Verify=yes表示经过optimizer验证

verify=no表示不经过optimizer验证强制变为accepted状态

(2) 调用Dbms_spm.LOAD_PLANS_FROM_CURSOR_CACHE或者LOAD_PLANS_FROM_SQLSET函数，这里使用LOAD_PLANS_FROM_CURSOR_CACHE函数将sharedpool中已经存在的执行计划load到baseline，且状态变为accepted；

###执行sql，使其cache到shared pool

variablev_objid number;

exec:v_objid:=1000;

selectcount(*) from scott.t1 where object_id<:v_objid;

SQL>select sql_text,sql_id,child_number,plan_hash_value from v$sql where sql_textlike 'select count(*) from scott.t1%';

SQL_TEXTSQL_ID CHILD_NUMBER PLAN_HASH_VALUE

------------------------------------------------------------------------------------------------------- ------------ ---------------

select count(*)from scott.t1 where object_id<:v_objid 9hup7n51za19u 0 4020739011

###显示执行计划

select *fromtable(dbms_xplan.display_cursor(sql_id=>'9hup7n51za19u',cursor_child_no=>0,format=>'ALL'));

PLAN_TABLE_OUTPUT

--------------------------------------------------------------------------------

SQL_ID 9hup7n51za19u, child number 0

-------------------------------------

select count(*)from scott.t1 where object_id<:v_objid

Plan hashvalue: 4020739011

--------------------------------------------------------------------------------

--

| Id | Operation | Name | Rows| Bytes | Cost (%CPU)| Time

|

PLAN_TABLE_OUTPUT

--------------------------------------------------------------------------------

--------------------------------------------------------------------------------

--

| 0 | SELECT STATEMENT || | |5 (100)|

|

| 1 |SORT AGGREGATE | | 1 |6 | |

|

|* 2 |INDEX RANGE SCAN| IND_OBJID_T1 |8893 | 53358 | 5 (0)| 00:00:01

PLAN_TABLE_OUTPUT

--------------------------------------------------------------------------------

|

--------------------------------------------------------------------------------

--

Query BlockName / Object Alias (identified by operation id):

-------------------------------------------------------------

1 - SEL$1

2 - SEL$1 / T1@SEL$1

PLAN_TABLE_OUTPUT

--------------------------------------------------------------------------------

PredicateInformation (identified by operation id):

---------------------------------------------------

2 -access("OBJECT_ID"<:V_OBJID)

ColumnProjection Information (identified by operation id):

-----------------------------------------------------------

1 - (#keys=0) COUNT(*)[22]

###从shared pool中将上述sql的执行计划load到sql planbaseline，load进来之后就变成了Accepted，没有verify的过程

setserveroutput on

declare

result_intpls_integer;

begin

result_int:=DBMS_SPM.LOAD_PLANS_FROM_CURSOR_CACHE(sql_id=>'9hup7n51za19u',plan_hash_value=>4020739011,fixed=>'NO',enabled=>'YES');

dbms_output.put_line(result_int);

end;

/

###在dba_sql_plan_baselines中找到了该条sqlplan baseline，已经被accepted

selectsql_handle,sql_text,plan_name,enabled,accepted,creator,created,last_modified,last_executed,last_verifiedfrom dba_sql_plan_baselines where sql_text like '%v_objid';

###再次执行sql时已经能用到了这条sqlplan baseline了

variablev_objid number;

exec:v_objid:=500;

selectcount(*) from scott.t1 where object_id<:v_objid;

setautotrace traceonly;

selectcount(*) from scott.t1 where object_id<:v_objid;

Execution Plan

----------------------------------------------------------

Plan hashvalue: 4020739011

--------------------------------------------------------------------------------

--

| Id | Operation | Name | Rows| Bytes | Cost (%CPU)| Time

|

--------------------------------------------------------------------------------

--

| 0 | SELECT STATEMENT || 1 | 6 |5 (0)| 00:00:01

|

| 1 |SORT AGGREGATE | | 1 |6 | |

|

|* 2 |INDEX RANGE SCAN| IND_OBJID_T1 |8893 | 53358 | 5 (0)| 00:00:01

|

--------------------------------------------------------------------------------

--

PredicateInformation (identified by operation id):

---------------------------------------------------

2 -access("OBJECT_ID"<TO_NUMBER(:V_OBJID))

Note

-----

- SQL plan baseline"SQL_PLAN_gm8nknf6mhghn28a6f5d9" used for this statement

Statistics

----------------------------------------------------------

27recursive calls

16db block gets

15consistent gets

13physical reads

3136redo size

527bytes sent via SQL*Net to client

520bytes received via SQL*Net from client

2SQL*Net roundtrips to/from client

0sorts (memory)

0sorts (disk)

1rows processed

(3) 通过dbms_sqltune对SQL语句进行调优，并接受其调优建议

这里沿用本文第一部分对于select count(*) from scott.t1 where object_id in (select object_idfrom scott.t2)语句生成的两条sql plan baseline，作如下处理：删除走索引的那条plan（只保留FTS）->使用sql tuning advisor对语句进行调优->接受advisor使用索引访问的建议

###人工删除掉走索引的sqlplan

setnumformat 9999999999999999999999999

colsql_handle format a20

colcreator format a5

colsql_text format a50

colcreated format a30

collast_modified format a30

collast_executed format a30

collast_verified format a30

setlinesize 180

select sql_handle,sql_text,plan_name,enabled,accepted,creator,created,last_modified,last_executed,last_verifiedfrom dba_sql_plan_baselines where sql_handle='SQL_d11d993788ae4828';

--删除其中使用索引的那条

setserveroutput on

declare

result_intpls_integer;

begin

result_int:=dbms_spm.drop_sql_plan_baseline(sql_handle=>'SQL_d11d993788ae4828',plan_name=>'SQL_PLAN_d27ct6y4awk18b1b38b11');

dbms_output.put_line(result_int);

end;

/

--删除成功只剩一条FTS的plan

selectsql_handle,sql_text,plan_name,enabled,accepted,creator,created,last_modified,last_executed,last_verifiedfrom dba_sql_plan_baselines where sql_handle='SQL_d11d993788ae4828';

###执行dbms_sqltune，生成并接受优化建议

--生成tuning任务

declare

my_task_namevarchar2(30);

my_sqltext clob;

begin

my_sqltext:='selectcount(*) from scott.t1 where object_id in (select object_id from scott.t2)';

my_task_name:=dbms_sqltune.create_tuning_task(sql_text=>my_sqltext,user_name=>'SCOTT',scope=>'COMPREHENSIVE',time_limit=>60,task_name=>'scott_sql_tune_1',description=>'tune1');

end;

/

--执行tuning任务

begin

dbms_sqltune.execute_tuning_task(task_name=>'scott_sql_tune_1');

end;

/

###查看sqltune报告，截取了相关内容

setlong 9000

setlongchunksize 1000

setlinesize 800

selectdbms_sqltune.report_tuning_task('scott_sql_tune_1') from dual;

1- Original With Adjusted Cost

------------------------------

Plan hash value: 1240933221

DBMS_SQLTUNE.REPORT_TUNING_TASK('SCOTT_SQL_TUNE_1')

--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------

------------------------------------------------------------------------------

| Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time |

------------------------------------------------------------------------------

| 0 | SELECT STATEMENT || 1 | 9 |462 (2)| 00:00:06 |

| 1 | SORT AGGREGATE || 1 | 9 | | |

|* 2 | HASH JOIN RIGHT SEMI| |3 | 27 | 462(2)| 00:00:06 |

| 3 | TABLE ACCESS FULL | T2| 99 | 297 |5 (0)| 00:00:01 |

| 4 | TABLE ACCESS FULL | T1| 177K| 1042K|455 (1)| 00:00:06 |

------------------------------------------------------------------------------

Predicate Information (identified by operation id):

DBMS_SQLTUNE.REPORT_TUNING_TASK('SCOTT_SQL_TUNE_1')

2- Using SQL Profile

--------------------

Plan hash value: 2406492491

-------------------------------------------------------------------------------------

| Id | Operation | Name | Rows| Bytes | Cost (%CPU)| Time |

-------------------------------------------------------------------------------------

DBMS_SQLTUNE.REPORT_TUNING_TASK('SCOTT_SQL_TUNE_1')

--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------

| 0 | SELECT STATEMENT | | 1 |9 | 56 (2)| 00:00:01 |

| 1 | SORT AGGREGATE | | 1 |9 | | |

| 2 | NESTED LOOPS | | 99 |891 | 56 (2)| 00:00:01 |

| 3 | SORT UNIQUE | | 99 |297 | 5 (0)| 00:00:01 |

| 4 | TABLE ACCESS FULL| T2 |99 | 297 | 5(0)| 00:00:01 |

|* 5 | INDEX RANGE SCAN | IND_OBJID_T1 | 1 |6 | 1 (0)| 00:00:01 |

-------------------------------------------------------------------------------------

Predicate Information (identified by operation id):

---------------------------------------------------

###接受Advisor推荐走索引的Profile，同时可以看到dba_sql_plan_baseline里又增加了一条accepted=yes的plan，这条正是我们刚才删除的，表明接受dbms_sqltune的调优结果也可以实现sql plan baseline的演进

execute dbms_sqltune.accept_sql_profile(task_name=>'scott_sql_tune_1',task_owner=>'SCOTT',replace=>TRUE);

selectsql_handle,sql_text,plan_name,enabled,accepted,creator,created,last_modified,last_executed,last_verifiedfrom dba_sql_plan_baselines where sql_handle='SQL_d11d993788ae4828';

###验证已经新的sqlplan baseline已经被使用

SQL>set autotrace traceonly explain

SQL>selectcount(*) from scott.t1 where object_id in (select object_id from scott.t2);

Execution Plan

----------------------------------------------------------

Plan hashvalue: 2406492491

-------------------------------------------------------------------------------------

| Id | Operation | Name | Rows| Bytes | Cost (%CPU)| Time |

-------------------------------------------------------------------------------------

| 0 | SELECT STATEMENT | | 1 |9 | 56 (2)| 00:00:01 |

| 1 |SORT AGGREGATE | | 1 |9 | | |

| 2 |NESTED LOOPS | | 99 |891 | 56 (2)| 00:00:01 |

| 3 |SORT UNIQUE | | 99 |297 | 5(0)| 00:00:01 |

| 4 |TABLE ACCESS FULL| T2| 99 | 297 |5 (0)| 00:00:01 |

|* 5 |INDEX RANGE SCAN | IND_OBJID_T1| 1 | 6 |1 (0)| 00:00:01 |

-------------------------------------------------------------------------------------

PredicateInformation (identified by operation id):

---------------------------------------------------

5 -access("OBJECT_ID"="OBJECT_ID")

Note

-----

- SQL profile"SYS_SQLPROF_0146fae6b2110000" used for this statement

- SQL plan baseline"SQL_PLAN_d27ct6y4awk18b1b38b11" used for this statement

阶段总结：

方法(1)适用于已经存在于sql plan history里但还未被accepted的sql plan，可以通过optimizer验证(verify=yes)后实现演进，或者不通过验证(verify=no)而直接演进为sql plan baseline

方法(2)在不开启session级或system级自动捕捉(optimizer_capture_sql_plan_baselines=FALSE)的情况下，人工将已经生成的执行计划装载为sql plan baseline，即绕过optimizer的评估，直接演进为accepted plan的情况。这种方法需要人工确认该执行计划是一定是最优的，否则会导致后续按照该baseline执行的SQL产生性能问题

方法(3)语句出现性能问题后，求助sql tuning advisor得到并应用优化建议，生成accepted的sql plan baseline，属于事后调优的范畴

3、SQL语句对应的sql plan baseline均失效的情况下，sqlplan演进会跳过verify步骤，直接变为accepted

###Drop掉原有的sql planbaseline

declare

result_intpls_integer;

begin

result_int:=dbms_spm.drop_sql_plan_baseline(sql_handle=>'SQL_d11d993788ae4828');

end;

/

###重新构建测试环境

createtable scott.t1 tablespace ts_pub as select * from dba_objects;

createtable scott.t2 tablespace ts_pub as select * from dba_objects whererownum<100;

createindex scott.ind_objid_t1 on scott.t1(object_id) tablespace ts_pub;

exec dbms_stats.gather_table_stats(ownname=>'scott',tabname=>'t1',method_opt=>'forall columns size 1',cascade=>TRUE,no_invalidate=>FALSE);

execdbms_stats.gather_table_stats(ownname=>'scott',tabname=>'t2',method_opt=>'forall columns size 1',cascade=>TRUE,no_invalidate=>FALSE);

alter session set optimizer_capture_sql_plan_baselines=TRUE;

select count(*) from scott.t1 where object_id in (selectobject_id from scott.t2); --执行至少两次

alter session set optimizer_capture_sql_plan_baselines=FALSE;

###drop掉索引，再次执行sql，观察到dba_sql_plan_baselines里，索引对应的plan REPRODUCED变成了NO，受索引被drop的影响此条plan baseline失效了；同时新增了一条FTS的plan，但状态为not accepted

dropindex scott.ind_objid_t1;

select count(*) from scott.t1 where object_id in (selectobject_id from scott.t2);

select sql_handle,sql_text,plan_name,enabled,accepted,creator,created,last_modified,last_executed,last_verified,REPRODUCEDfrom dba_sql_plan_baselines where sql_handle='SQL_d11d993788ae4828';

###现在把FTS的plan演进为Accepted sql plan baseline，从EVOLVE_SQL_PLAN_BASELINE函数的输出可以看出，虽然指定了verify=YES，但因走索引的plan已经失效，oracle并没有进行verify就直接accept此plan了。

setserveroutput on

set long10000

declare

result_clobclob;

begin

result_clob:=DBMS_SPM.EVOLVE_SQL_PLAN_BASELINE(sql_handle=>'SQL_d11d993788ae4828',plan_name=>'SQL_PLAN_d27ct6y4awk1822a9c5af',verify=>'YES',commit=>'YES');

dbms_output.put_line(result_clob);

end;

/

-------------------------------------------------------------------------------

Evolve SQL PlanBaseline

Report

-------------------------------------------------------------------------

------

Inputs:

-------

SQL_HANDLE = SQL_d11d993788ae4828

PLAN_NAME=

SQL_PLAN_d27ct6y4awk1822a9c5af

TIME_LIMIT = DBMS_SPM.AUTO_LIMIT

VERIFY=

YES

COMMIT= YES

Plan:

SQL_PLAN_d27ct6y4awk1822a9c5af

------------------------------------

Plan was

not verified.

Using cost-based planas could not reproduce any

accepted and

enabled baseline plan.

Plan was changed toan accepted

plan.

-------------------------------------------------------------------------

------

Report

Summary

------------------------------------------------------------------------

-------

Number of plans verified: 0

Number of plans accepted: 1

###演进的结果验证，FTS 对应的sql planbaseline已经变成Accepted=yes了

select sql_handle,sql_text,plan_name,enabled,accepted,creator,created,last_modified,last_executed,last_verified,REPRODUCEDfrom dba_sql_plan_baselines where sql_handle='SQL_d11d993788ae4828'

###对于走索引的这条sql plan baseline，若要使其重新生效，即reproduced从NO变为YES，必须重新建立索引并且执行一次sql才行

select count(*) from scott.t1 where object_id in (selectobject_id from scott.t2);

create index scott.ind_objid_t1 on scott.t1(object_id) tablespacets_pub;

execdbms_stats.gather_table_stats(ownname=>'scott',tabname=>'t1',method_opt=>'forall columns size 1',cascade=>TRUE,no_invalidate=>FALSE);

execdbms_stats.gather_table_stats(ownname=>'scott',tabname=>'t2',method_opt=>'forall columns size 1',cascade=>TRUE,no_invalidate=>FALSE);

###仅通过Verify并不能使其重新生效，提示已经是accepted sql plan baseline

set serveroutputon

set long10000

declare

result_clobclob;

begin

result_clob:=DBMS_SPM.EVOLVE_SQL_PLAN_BASELINE(sql_handle=>'SQL_d11d993788ae4828',plan_name=>'SQL_PLAN_d27ct6y4awk18b1b38b11',verify=>'YES',commit=>'YES');

dbms_output.put_line(result_clob);

end;

/

-------------------------------------------------------------------------------

Evolve SQL PlanBaseline

Report

-------------------------------------------------------------------------

------

Inputs:

-------

SQL_HANDLE = SQL_d11d993788ae4828

PLAN_NAME=

SQL_PLAN_d27ct6y4awk18b1b38b11

TIME_LIMIT = DBMS_SPM.AUTO_LIMIT

VERIFY=

YES

COMMIT= YES

Plan:

SQL_PLAN_d27ct6y4awk18b1b38b11

------------------------------------

It is

already an accepted

plan.

-------------------------------------------------------------------------

------

Report

Summary

------------------------------------------------------------------------

-------

Therewere no SQL plan baselines that required processing.

selectsql_handle,sql_text,plan_name,enabled,accepted,creator,created,last_modified,last_executed,last_verified,REPRODUCEDfrom dba_sql_plan_baselines where sql_handle='SQL_d11d993788ae4828'

###只有重新执行sql，reproduced才会变为YES，此外还可以观察到这两条有效的sql plan baseline的last_verified字段均为空，表明这两条sql plan入驻的时候都没有经过verify，也间接说明了入驻的当时没有有效的sql plan baseline存在，是被直接”保送”进了sql plan baseline

select count(*) from scott.t1 where object_idin (select object_id from scott.t2);

select sql_handle,sql_text,plan_name,enabled,accepted,creator,created,last_modified,last_executed,last_verified,REPRODUCEDfrom dba_sql_plan_baselines where sql_handle='SQL_d11d993788ae4828';

1、不同用户针对各自用户下的表，执行同一条sql语句， sql planbaseline的共享机制

测试场景描述：两个用户scott1、scott2下各有一张名为t1的表，scott1.t1(object_id)上建立名为ind_objid_t的non-unique索引，且在scott1用户下执行select *from t1 where object_id<100000生成首条sql plan baseline；之后分别在以下几种场景下使用Scott2用户执行同样的语句：select * from t1 where object_id<100000，观察是否能用到scott1用户生成的首条sqlplan baseline，这几种场景包括：

(1) Scott2.t1(object_id)字段没有索引

(2) Scott2.t1(object_id)字段创建non-unique索引，索引名称和Scott1保持一致

(3) Scott2.t1(object_id)字段创建non-unique索引， 索引名称和Scott1保持一致，人工增大clustering_factor，使Optimizer偏向选择FTS

(4) Scott2.t1(object_id)字段创建non-unique索引，索引名称有别于Scott1

(5) Scott2.t1(object_id)字段创建unique索引，索引名称和Scott1保持一致

(6) 重建Scott2.t1表，同时更改scott2.t1表结构，除了object_id字段外，其余字段均和Scott2.t1中的字段不相同

数据环境准备：

###生成scott1用户下的表

grantconnect,resource,unlimited tablespace to scott1 identified by scott1_1234;

grantplustrace to scott1;

createtable scott1.t1 tablespace ts_pub as select * from dba_objects;

createindex scott1.ind_objid_t on scott1.t1(object_id) tablespace ts_pub;

execdbms_stats.gather_table_stats(ownname=>'scott1',tabname=>'t1',method_opt=>'forall columns size 1',cascade=>TRUE,no_invalidate=>FALSE);

###生成scott2用户下的表

grantconnect,resource,unlimited tablespace to scott2 identified by scott2_5678;

grantplustrace to scott2;

createtable scott2.t1 tablespace ts_pub as select * from dba_objects;

exec dbms_stats.gather_table_stats(ownname=>'scott2',tabname=>'t1',method_opt=>'forall columns size 1',cascade=>TRUE,no_invalidate=>FALSE);

##清理现有环境中的sql plan baseline，保持dba_sql_plan_baseline为空

setserveroutput on

declare

result_intpls_integer;

cursort_cur is select distinct sql_handle from dba_sql_plan_baselines;

begin

for v_curin t_cur loop

result_int:=dbms_spm.drop_sql_plan_baseline(sql_handle=>v_cur.sql_handle);

dbms_output.put_line(result_int);

end loop;

end;

/

alter system flush shared_pool;

##scott1用户生成首条sql plan baseline，

sqlplus scott1/scott1_1234

alter session set optimizer_capture_sql_plan_baselines=true;

select * from t1 where object_id<100000; --执行至少两遍

alter session set optimizer_capture_sql_plan_baselines=false;

select sql_handle,sql_text,plan_name,enabled,accepted,creator,created,last_modified,last_executed,last_verified,REPRODUCEDfrom dba_sql_plan_baselines;

select * fromtable(dbms_xplan.display_sql_plan_baseline(sql_handle=>'SQL_91e3f036b4b3ac44',plan_name=>'SQL_PLAN_93szh7uub7b2453067583')); --对应的执行计划是indexrange scan

PLAN_TABLE_OUTPUT

--------------------------------------------------------------------------------

| 0 | SELECT STATEMENT | |3560 | 337K| 213(0)|

00:00:03 |

| 1| TABLE ACCESS BY INDEX ROWID| T1 |3560 | 337K| 213(0)|

00:00:03 |

|* 2 |INDEX RANGE SCAN |IND_OBJID_T | 3560 | |10 (0)|

00:00:01 |

场景(1): Scott2.t1(object_id)字段没有索引，Scott2用户执行select * from t1 where object_id<100000;

select* from t1 where object_id<100000;

###t1.object_id字段没有索引，无法用上Scott1用户下的baseline，但会把Scott1用户创建的plan变成reproduced=NO同时在sql planhistory里生成了一条FTS的plan，Creator为scott2，状态为not accepted

select sql_handle,sql_text,plan_name,enabled,accepted,creator,created,last_modified,last_executed,last_verified,REPRODUCEDfrom dba_sql_plan_baselines;

select *fromtable(dbms_xplan.display_sql_plan_baseline(sql_handle=>'SQL_91e3f036b4b3ac44',plan_name=>'SQL_PLAN_93szh7uub7b24dbd90e8e')); --plan_name= SQL_PLAN_93szh7uub7b24dbd90e8e执行计划如下

--------------------------------------------------------------------------------

SQL handle:SQL_91e3f036b4b3ac44

SQL text:select * from t1 where object_id<100000

--------------------------------------------------------------------------------

--------------------------------------------------------------------------------

Plan name:SQL_PLAN_93szh7uub7b24dbd90e8ePlan id: 3688435342

Enabled:YES Fixed: NO Accepted: NO Origin: AUTO-CAPTURE

--------------------------------------------------------------------------------

PLAN_TABLE_OUTPUT

--------------------------------------------------------------------------------

Plan hashvalue: 838529891

--------------------------------------------------------------------------

| Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time |

--------------------------------------------------------------------------

| 0 | SELECT STATEMENT || 3560 | 337K|456 (1)| 00:00:06 |

|* 1 |TABLE ACCESS FULL| T1 | 3560 |337K| 456 (1)| 00:00:06 |

--------------------------------------------------------------------------

阶段结论：scott2用户的t1表上没有索引，优化器为sql生成的执行计划无法与scott1用户创建的sql plan baseline匹配，所以只能采用FTS的访问路径添加到sql plan history，同时将scott1用户plan_name=SQL_PLAN_93szh7uub7b2453067583置为reproduced=NO。可见优化器在匹配sql plan baseline时依据的是sql_handle，和这个plan的creator无关。

场景(2): Scott2.t1(object_id)字段创建non-unique索引，索引名称和Scott1保持一致

##接着场景(1)，在scott2.t1(object_id)创建和scott1同名的索引

createindex scott2.ind_objid_t on scott2.t1(object_id) tablespace ts_pub;

execdbms_stats.gather_table_stats(ownname=>'scott2',tabname=>'t1',method_opt=>'forall columns size 1',cascade=>TRUE,no_invalidate=>FALSE);

##scott2执行sql，看到plan_name=SQL_PLAN_93szh7uub7b2453067583重新变为REPRODUCED=YES了，而且通过sql语句的执行计划可以看到plan_name=SQL_PLAN_93szh7uub7b2453067583重新被使用上了

setautotrace traceonly

select *from t1 where object_id<100000;

| Id | Operation | Name | Rows| Bytes | Cost (%CPU)|

Time|

--------------------------------------------------------------------------------

-----------

| 0 | SELECT STATEMENT | |3560 | 337K| 213(0)|

00:00:03 |

| 1 |TABLE ACCESS BY INDEX ROWID| T1| 3560 | 337K|213 (0)|

00:00:03 |

|* 2 |INDEX RANGE SCAN |IND_OBJID_T | 3560 | |10 (0)|

00:00:01 |

--------------------------------------------------------------------------------

-----------

PredicateInformation (identified by operation id):

---------------------------------------------------

2 - access("OBJECT_ID"<100000)

Note

-----

- SQL plan baseline "SQL_PLAN_93szh7uub7b2453067583" used for thisstatement

select sql_handle,sql_text,plan_name,enabled,accepted,creator,created,last_modified,last_executed,last_verified,REPRODUCEDfrom dba_sql_plan_baselines

阶段结论：scott2. t1表与scott2.t1完全相同，这个相同包括表结构、索引名称、统计信息等都和scott1.t1保持一致，所以生成的执行计划能完全匹配scott1走索引的plan_name，REPRODUCED重新置为YES

场景(3): Scott2.t1(object_id)字段创建non-unique索引， 索引名称和Scott1保持一致，人工增大clustering_factor，使Optimizer偏向选择FTS

##创建Scott2.t1(object_id)索引

。。。步骤同上，此处省略

##先把optimizer_use_sql_plan_baselines设成false，观察一下未启用sqlplan baseline的情况下，改大scott2.t1

表索引的clustering_factor值，对执行计划的影响

---修改前走的是indexrange scan

altersession set optimizer_use_sql_plan_baselines=FALSE;

selecttable_name,index_name,clustering_factor from user_indexes wheretable_name='T1';

TABLE_NAME INDEX_NAME CLUSTERING_FACTOR

------------------------------------------------------------ -----------------

T1 IND_OBJID_T 10126

setautotrace traceonly

select *from t1 where object_id<100000;

| Id | Operation | Name | Rows| Bytes | Cost (%CPU)|

Time|

--------------------------------------------------------------------------------

-----------

| 0 | SELECT STATEMENT | |3560 | 337K| 213(0)|

00:00:03 |

| 1 |TABLE ACCESS BY INDEX ROWID| T1| 3560 | 337K|213 (0)|

00:00:03 |

|* 2 |INDEX RANGE SCAN |IND_OBJID_T | 3560 | |10 (0)|

00:00:01 |

---修改后走的是fts

execdbms_stats.set_index_stats(ownname=>'SCOTT2',indname=>'IND_OBJID_T',clstfct=>2000000);

selecttable_name,index_name,clustering_factor from user_indexes wheretable_name='T1';

TABLE_NAME INDEX_NAME CLUSTERING_FACTOR

------------------------------------------------------------ -----------------

T1 IND_OBJID_T 2000000

setautotrace traceonly

select *from t1 where object_id<100000;

--------------------------------------------------------------------------

| Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time |

--------------------------------------------------------------------------

| 0 | SELECT STATEMENT || 3560 | 337K|456 (1)| 00:00:06 |

|* 1 |TABLE ACCESS FULL| T1 | 3560 |337K| 456 (1)| 00:00:06 |

--------------------------------------------------------------------------

##optimizer_use_sql_plan_baselines置为true，观察在启用sqlplan baseline的情况下，在IND_OBJID_T索引统

计信息改变之后，oracle是否还会继续去启用plan_name=SQL_PLAN_93szh7uub7b2453067583这条走索引

的plan

--为使结果更为明朗，这里先删除掉scott2用户在场景(1)里创建出的走FTS的plan

setserveroutput on

declare

result_intpls_integer;

begin

result_int:=dbms_spm.drop_sql_plan_baseline(sql_handle=>'SQL_91e3f036b4b3ac44',plan_name=>'SQL_PLAN_93szh7uub7b24dbd90e8e');

dbms_output.put_line(result_int);

end;

/

--只剩一条走索引的plan= SQL_PLAN_93szh7uub7b2453067583

Select

sql_handle,sql_text,plan_name,enabled,accepted,creator,created,last_modified,last_executed,last_verified,REPRO

DUCED fromdba_sql_plan_baselines;

--scott2用户执行sql，plan= SQL_PLAN_93szh7uub7b2453067583会被启用

altersession set optimizer_use_sql_plan_baselines=TRUE;

setautotrace traceonly

select *from t1 where object_id<100000;

| Id | Operation | Name | Rows| Bytes | Cost (%CPU)|

Time|

--------------------------------------------------------------------------------

-----------

| 0 | SELECT STATEMENT | |3560 | 337K| 40066 (1)|

00:08:01 |

| 1 |TABLE ACCESS BY INDEX ROWID| T1 |3560 | 337K| 40066 (1)|

00:08:01 |

|* 2 |INDEX RANGE SCAN |IND_OBJID_T | 3560 | |10 (0)|

00:00:01 |

--------------------------------------------------------------------------------

-----------

PredicateInformation (identified by operation id):

---------------------------------------------------

2 - access("OBJECT_ID"<100000)

Note

-----

- SQL plan baseline "SQL_PLAN_93szh7uub7b2453067583" used for thisstatement

---但同时也会生成一个FTS的plan，clustering_factor值远大于table所占用的blocks的情况下，、优化器认为

FTS才是合适的选择

select

sql_handle,sql_text,plan_name,enabled,accepted,creator,created,last_modified,last_executed,last_verified,REPRO

DUCED fromdba_sql_plan_baselines

阶段结论：只要sql plan baseline的reproduced!=NO，就一定会被优化器选中，哪怕这条baseline

对应的执行计划效率再差。与此同时优化器执行sql时还是要去收集所执行对象的统计信息，

并且把它计算出的执行计划添加到sql plan history作为演进时的候选对象。

场景(4): Scott2.t1(object_id)字段创建non-unique索引，索引名称有别于Scott1

##修改Scott2.ind_objid_t索引名称

alterindex scott2.IND_OBJID_T rename to IND_OBJID_T2;

execdbms_stats.gather_table_stats(ownname=>'scott2',tabname=>'t1',method_opt=>'forall columns size

1',cascade=>TRUE,no_invalidate=>FALSE);

##重新执行sql，得到了不同的执行计划(这里的不同主要是指索引名称的改变，访问的路径还是index range

scan)，结果是在dba_sql_plan_baseline里新增了1条plan_name=SQL_PLAN_93szh7uub7b2483309cfd，与此

同时还发现scott1用户下的plan_name=SQL_PLAN_93szh7uub7b2453067583 reproduced属性变为NO，原

因是索引名称变了匹配不上了，即IND_OBJID_T !=IND_OBJID_T2

setautotrace traceonly

select* from t1 where object_id<100000;

| Id | Operation | Name | Rows| Bytes | Cost (%CPU)

| Time |

--------------------------------------------------------------------------------

------------

| 0 | SELECT STATEMENT | |3560 | 337K| 213(0)

| 00:00:03 |

| 1 | TABLE ACCESS BY INDEX ROWID| T1 |3560 | 337K| 213(0)

| 00:00:03 |

|* 2 | INDEX RANGE SCAN | IND_OBJID_T2 | 3560 || 10 (0)

| 00:00:01 |

阶段结论：虽然我们平时关注的主要是执行计划中的access-path部分，但其实索引名称也是执行计划的重要组成部分也是决定sql plan baseline能否被重用的一个重要因素

场景(5): Scott2.t1(object_id)字段创建unique索引，索引名称和Scott1保持一致

##scott2重建索引，名称和scott1名称等同，但索引类型变为unique

--先Drop掉creator=scott2的两条sql plan

setserveroutput on

declare

result_int1pls_integer;

result_int2pls_integer;

begin

result_int1:=dbms_spm.drop_sql_plan_baseline(sql_handle=>'SQL_91e3f036b4b3ac44',plan_name=>'SQL_PLAN_93szh7uub7b24dbd90e8e');

result_int2:=dbms_spm.drop_sql_plan_baseline(sql_handle=>'SQL_91e3f036b4b3ac44',plan_name=>'SQL_PLAN_93szh7uub7b2483309cfd');

dbms_output.put_line(result_int1);

dbms_output.put_line(result_int2);

end;

/

selectsql_handle,sql_text,plan_name,enabled,accepted,creator,created,last_modified,last_executed,last_verified,REPRODUCEDfrom dba_sql_plan_baselines;

--重建scott2.t1上的索引

drop indexscott2.ind_objid_t2;

createunique index scott2.ind_objid_t on scott2.t1(object_id) tablespace ts_pub;

execdbms_stats.gather_table_stats(ownname=>'scott2',tabname=>'t1',method_opt=>'forall columns size 1',cascade=>TRUE,no_invalidate=>FALSE);

##scott2执行sql观察到scott1用户的plan_name=SQL_PLAN_93szh7uub7b2453067583还是能够被利用

setautotrace traceonly

select *from t1 where object_id<100000;

| Id | Operation | Name | Rows| Bytes | Cost (%CPU)|

Time|

--------------------------------------------------------------------------------

-----------

| 0 | SELECT STATEMENT | |3560 | 337K| 212(0)|

00:00:03 |

| 1 |TABLE ACCESS BY INDEX ROWID| T1| 3560 | 337K| 212(0)|

00:00:03 |

|* 2 |INDEX RANGE SCAN |IND_OBJID_T | 3560 | |9 (0)|

00:00:01 |

--------------------------------------------------------------------------------

-----------

PredicateInformation (identified by operation id):

---------------------------------------------------

2 - access("OBJECT_ID"<100000)

Note

-----

- SQL plan baseline "SQL_PLAN_93szh7uub7b2453067583" used for thisstatement

阶段结论：虽然这次索引变成了unique的，但执行计划中并没有使用index unique scan，用的依然是index range scan，这就和plan=SQL_PLAN_93szh7uub7b2453067583所指向的access-path保持一致，说明只要在access-path，索引名称相同的情况下，oracle不会对索引是否为unique有强制的要求

场景(6): 重建Scott2.t1表，同时更改scott2.t1表结构，除了object_id字段外，其余字段均和Scott2.t1中的字段不相同

##重构Scott2.t1表

drop table scott2.t1;

create table scott2.t1 (col1varchar2(2),object_id number,col3 varchar2(100)) tablespace ts_pub;

declare

begin

for i in 1..170000 loop

insert into scott2.t1values('AA',i,'scott2.t1');

end loop;

commit;

end;

/

create index scott2.ind_objid_t onscott2.t1(object_id) tablespace ts_pub;

execdbms_stats.gather_table_stats(ownname=>'scott2',tabname=>'t1',method_opt=>'forall columns size

1',cascade=>TRUE,no_invalidate=>FALSE);

##scott用户执行sql，sql planbaseline能够被重用

set autotrace traceonly

select * from t1 whereobject_id<100000;

| Id | Operation | Name | Rows| Bytes | Cost (%CPU)|

Time|

--------------------------------------------------------------------------------

-----------

|0 | SELECT STATEMENT| | 100K|1757K| 545 (1)|

00:00:07 |

|1 | TABLE ACCESS BY INDEX ROWID|T1 | 100K|1757K| 545 (1)|

00:00:07 |

|*2 | INDEX RANGE SCAN | IND_OBJID_T | 100K|| 225 (1)|

00:00:03 |

--------------------------------------------------------------------------------

-----------

Predicate Information (identifiedby operation id):

---------------------------------------------------

2 - access("OBJECT_ID"<100000)

Note

-----

- SQL plan baseline "SQL_PLAN_93szh7uub7b2453067583" used forthis statement

阶段结论：只要执行计划能完全匹配上，就能利用到已生成的sql planbaseline，对于表结构，

表内容等项目oracle不作检查，可见sql plan baseline对环境的适应能力是很强的，除了对象不可用之外(例如索引被删除)，都能将预先生成的执行计划提供给优化器执行。

以上是“数据库中sql plan baseline怎么用”这篇文章的所有内容，感谢各位的阅读！希望分享的内容对大家有帮助，更多相关知识，欢迎关注亿速云行业资讯频道！