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题目部分
在Oracle中,如何得到真实的执行计划?
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答案部分
在Oracle数据库中判断得到的执行计划是否准确,就是看目标SQL是否被真正执行过,真正执行过的SQL所对应的执行计划就是准确的,反之则有可能不准,因此,通过10046事件及如下的几种方式得到的执行计划是最准确的,而从其它方式获取到的执行计划都有可能不准确。
SELECT * FROM TABLE(DBMS_XPLAN.DISPLAY_CURSOR(NULL, NULL, 'ADVANCED ALLSTATS'));
SELECT * FROM TABLE(DBMS_XPLAN.DISPLAY_CURSOR('sql_id/hash_value',CHILD_CURSOR_NUMBER, 'ADVANCED ALLSTATS'));
SELECT * FROM TABLE(DBMS_XPLAN.DISPLAY_AWR('sql_id'));
这里需要注意的是,虽然SQL*Plus的AUTOTRACE功能有部分是真实执行了SQL语句的(例如所有DML语句),但是,由于该命令所显示的执行计划来源于调用EXPLAIN PLAN命令,所以,其得到的执行计划依然可能不准确(特别是在使用了绑定变量的情况下)。那么,为什么EXPLAIN PLAN命令里显示的预估执行计划与该SQL真实的执行计划不一样呢?原因有多个方面,常见的情况包括以下几个方面:
① 绑定变量窥视(Bind Peeking):EXPLAIN PLAN里不会进行绑定变量窥视,但是Runtime Plan里会进行绑定变量窥视,所以,如果发生这种情况,那么会使这两个执行计划产生差异。
② 隐式转换:Explain Plan里不会考虑绑定变量的类型,但是Runtime Plan里会考虑类型,从而有可能会根据绑定变量的类型出现隐式转换,所以谓词(Predicate)会发生变化,使得执行计划也会产生差异。
③ 优化器参数:执行Explain Plan的Session与Runtime Plan的Session不是同一个。如果各个Session之间存在优化器参数差异,那么执行计划也会产生差异。
④ 统计信息收集参数:Explain Plan始终是用最新的统计信息产生执行计划,但是,Runtime Plan不一定会用最新的统计信息。因此也会产生执行计划差异。在收集统计信息时,一个与缓存的游标是否失效的很重要的参数为NO_INVALIDATE。在重新收集统计信息时,可以指定NO_INVALIDATE选项。该选项有TRUE、FALSE和DBMS_STATS.AUTO_INVALIDATE这3个值。如果取值为TRUE,那么表示收集统计信息后不进行游标失效动作,原有的Shared Cursor保持原有状态。如果取值为FALSE,那么表示将统计信息对象相关的所有Cursor全部失效,目标SQL语句在下次执行时就会使用硬解析。如果设置为AUTO_INVALIDATE,那么Oracle自己决定Shared Cursor失效动作,当SQL再次执行时间距离上次收集统计信息的时间超过5小时(隐含参数“_OPTIMIZER_INVALIDATION_PERIOD”决定)则对SQL重新做硬解析。AUTO_INVALIDATE为默认选项。有些DBA在收集统计信息时,没有使用NO_INVALIDATE=>FALSE选项,所以,即使收集了统计信息,执行计划也不会立即改变。可以在表级别设置让所有依赖于该表的游标不失效,设置方法为:
EXEC DBMS_STATS.SET_TABLE_PREFS('SH','SALES','NO_INVALIDATE','TRUE');--在收集SH.SALES表上的统计信息时,让所有依赖于该表的游标不失效
实验一:
CREATE TABLE TEST_EXPLAIN_LHR AS SELECT * FROM DBA_OBJECTS;
INSERT INTO TEST_EXPLAIN_LHR SELECT * FROM TEST_EXPLAIN_LHR;
COMMIT;
SELECT COUNT(*) FROM TEST_EXPLAIN_LHR;
CREATE INDEX IDX_OBJ_LHR ON TEST_EXPLAIN_LHR(OBJECT_ID);
EXEC DBMS_STATS.GATHER_TABLE_STATS(USER,'test_explain_lhr',ESTIMATE_PERCENT => 100,CASCADE => TRUE);
VAR X NUMBER;
VAR Y NUMBER;
EXEC :X := 0;
EXEC :Y := 100000;
EXPLAIN PLAN FOR SELECT COUNT(*) FROM TEST_EXPLAIN_LHR T WHERE T.OBJECT_ID BETWEEN :X AND :Y ;
SELECT * FROM TABLE(DBMS_XPLAN.DISPLAY);
SET AUTOT ON
SELECT COUNT(*) FROM TEST_EXPLAIN_LHR T WHERE T.OBJECT_ID BETWEEN :X AND :Y ;
SET AUTOT OFF
SELECT COUNT(*) FROM TEST_EXPLAIN_LHR T WHERE T.OBJECT_ID BETWEEN :X AND :Y ;
SELECT * FROM TABLE(DBMS_XPLAN.DISPLAY_CURSOR(NULL,NULL,'advanced'));
下面实验验证了使用EXPLAIN PLAN FOR和SET AUTOT ON方式获取到的执行计划都是不准确的:
SYS@PROD1> clear scr
SYS@PROD1> CREATE TABLE test_explain_lhr AS SELECT * FROM Dba_Objects;
Table created.
SYS@PROD1> INSERT INTO test_explain_lhr SELECT * FROM test_explain_lhr;
72503 rows created.
SYS@PROD1> COMMIT;
Commit complete.
SYS@PROD1> SELECT COUNT(*) FROM test_explain_lhr;
COUNT(*)
----------
145006
SYS@PROD1> CREATE INDEX idx_obj_lhr ON test_explain_lhr(object_id);
Index created.
SYS@PROD1> EXEC dbms_stats.gather_table_stats(USER,'test_explain_lhr',estimate_percent => 100,cascade => TRUE);
PL/SQL procedure successfully completed.
SYS@PROD1> VAR x NUMBER;
SYS@PROD1> VAR y NUMBER;
SYS@PROD1> EXEC :x := 0;
PL/SQL procedure successfully completed.
SYS@PROD1> EXEC :y := 100000;
PL/SQL procedure successfully completed.
SYS@PROD1> EXPLAIN PLAN FOR SELECT COUNT(*) FROM test_explain_lhr t WHERE t.object_id BETWEEN :x AND :y ;
Explained.
SYS@PROD1> set line 9999
SYS@PROD1> SELECT * FROM TABLE(dbms_xplan.display);
PLAN_TABLE_OUTPUT
---------------------------------------------------------------------------------------------
Plan hash value: 3299589416
----------------------------------------------------------------------------------
| Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time |
----------------------------------------------------------------------------------
| 0 | SELECT STATEMENT | | 1 | 5 | 3 (0)| 00:00:01 |
| 1 | SORT AGGREGATE | | 1 | 5 | | |
|* 2 | FILTER | | | | | |
|* 3 | INDEX RANGE SCAN| IDX_OBJ_LHR | 363 | 1815 | 3 (0)| 00:00:01 |
----------------------------------------------------------------------------------
Predicate Information (identified by operation id):
---------------------------------------------------
2 - filter(TO_NUMBER(:X)<=TO_NUMBER(:Y))
3 - access("T"."OBJECT_ID">=TO_NUMBER(:X) AND
"T"."OBJECT_ID"<=TO_NUMBER(:Y))
17 rows selected.
SYS@PROD1> set autot on
SYS@PROD1> SELECT COUNT(*) FROM test_explain_lhr t WHERE t.object_id BETWEEN :x AND :y ;
COUNT(*)
----------
145006
Execution Plan
----------------------------------------------------------
Plan hash value: 3299589416
----------------------------------------------------------------------------------
| Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time |
----------------------------------------------------------------------------------
| 0 | SELECT STATEMENT | | 1 | 5 | 3 (0)| 00:00:01 |
| 1 | SORT AGGREGATE | | 1 | 5 | | |
|* 2 | FILTER | | | | | |
|* 3 | INDEX RANGE SCAN| IDX_OBJ_LHR | 363 | 1815 | 3 (0)| 00:00:01 |
----------------------------------------------------------------------------------
Predicate Information (identified by operation id):
---------------------------------------------------
2 - filter(TO_NUMBER(:X)<=TO_NUMBER(:Y))
3 - access("T"."OBJECT_ID">=TO_NUMBER(:X) AND
"T"."OBJECT_ID"<=TO_NUMBER(:Y))
Statistics
----------------------------------------------------------
1 recursive calls
0 db block gets
329 consistent gets
0 physical reads
0 redo size
424 bytes sent via SQL*Net to client
419 bytes received via SQL*Net from client
2 SQL*Net roundtrips to/from client
0 sorts (memory)
0 sorts (disk)
1 rows processed
SYS@PROD1> SET AUTOT OFF
SYS@PROD1> SELECT COUNT(*) FROM test_explain_lhr t WHERE t.object_id BETWEEN :x AND :y ;
COUNT(*)
----------
145006
SYS@PROD1> SELECT * FROM TABLE(dbms_xplan.display_cursor(NULL,NULL,'advanced'));
PLAN_TABLE_OUTPUT
----------------------------------------------------------------------------------------
SQL_ID 1r87sg98rdkuf, child number 0
-------------------------------------
SELECT COUNT(*) FROM test_explain_lhr t WHERE t.object_id BETWEEN :x
AND :y
Plan hash value: 2428225634
--------------------------------------------------------------------------------------
| Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time |
--------------------------------------------------------------------------------------
| 0 | SELECT STATEMENT | | | | 90 (100)| |
| 1 | SORT AGGREGATE | | 1 | 5 | | |
|* 2 | FILTER | | | | | |
|* 3 | INDEX FAST FULL SCAN| IDX_OBJ_LHR | 145K| 708K| 90 (2)| 00:00:02 |
--------------------------------------------------------------------------------------
Query Block Name / Object Alias (identified by operation id):
-------------------------------------------------------------
1 - SEL$1
3 - SEL$1 / T@SEL$1
Outline Data
-------------
/*+
BEGIN_OUTLINE_DATA
IGNORE_OPTIM_EMBEDDED_HINTS
OPTIMIZER_FEATURES_ENABLE('11.2.0.1')
DB_VERSION('11.2.0.1')
ALL_ROWS
OUTLINE_LEAF(@"SEL$1")
INDEX_FFS(@"SEL$1" "T"@"SEL$1" ("TEST_EXPLAIN_LHR"."OBJECT_ID"))
END_OUTLINE_DATA
*/
Peeked Binds (identified by position):
--------------------------------------
1 - :X (NUMBER): 0
2 - :Y (NUMBER): 100000
Predicate Information (identified by operation id):
---------------------------------------------------
2 - filter(:X<=:Y)
3 - filter(("T"."OBJECT_ID">=:X AND "T"."OBJECT_ID"<=:Y))
Column Projection Information (identified by operation id):
-----------------------------------------------------------
1 - (#keys=0) COUNT(*)[22]
53 rows selected.
& 说明:
有关真实的执行计划的更多内容可以参考我的BLOG:http://blog.itpub.net/26736162/viewspace-2152884/
本文选自《Oracle程序员面试笔试宝典》,作者:李华荣。