关于oracle数据库参数cursor_sharing = similar的分析过程

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关于oracle数据库参数cursor_sharing = similar的分析过程

我们先看看在表没有分析无统计数据情况下的表现
SQL> alter session set cursor_sharing = similar;

Session altered.
SQL> select name,value from v$sysstat where name like '%parse%';

NAME VALUE
---------------------------------------------------------------- ----------
parse time cpu 4948
parse time elapsed 4468
parse count (total) 170148
parse count (hard) 1619 (硬分析次数)
parse count (failures) 80

SQL> select count(*) from t where object_id = 1000;

COUNT(*)
----------
0

SQL> select name,value from v$sysstat where name like '%parse%';

NAME VALUE
---------------------------------------------------------------- ----------
parse time cpu 4948
parse time elapsed 4468
parse count (total) 170172
parse count (hard) 1620
parse count (failures) 80

SQL> /

NAME VALUE
---------------------------------------------------------------- ----------
parse time cpu 4948
parse time elapsed 4468
parse count (total) 170176
parse count (hard) 1620
parse count (failures) 80

SQL> select count(*) from t where object_id = 1000;

COUNT(*)
----------
0

SQL> select name,value from v$sysstat where name like '%parse%';

NAME VALUE
---------------------------------------------------------------- ----------
parse time cpu 4948
parse time elapsed 4468
parse count (total) 170178
parse count (hard) 1620
parse count (failures) 80

SQL> select count(*) from t where object_id = 1001;

COUNT(*)
----------
0

SQL> select name,value from v$sysstat where name like '%parse%';

NAME VALUE
---------------------------------------------------------------- ----------
parse time cpu 4948
parse time elapsed 4468
parse count (total) 170180
parse count (hard) 1620(即使object_id发生变化依然没有硬解析)
parse count (failures) 80

我们再来看分析表和字段信息后的表现
SQL> analyze table t1 compute statistics for table for columns object_id;

Table analyzed.

SQL> select name,value from v$sysstat where name like '%parse%';

NAME VALUE
---------------------------------------------------------------- ----------
parse time cpu 4973
parse time elapsed 4495
parse count (total) 170982
parse count (hard) 1640
parse count (failures) 80

SQL> select count(*) from t1 where object_id = 5000;

COUNT(*)
----------
0

SQL> select name,value from v$sysstat where name like '%parse%';

NAME VALUE
---------------------------------------------------------------- ----------
parse time cpu 4973
parse time elapsed 4495
parse count (total) 170984
parse count (hard) 1641
parse count (failures) 80

SQL> select count(*) from t1 where object_id = 5000;

COUNT(*)
----------
0

SQL> select name,value from v$sysstat where name like '%parse%';

NAME VALUE
---------------------------------------------------------------- ----------
parse time cpu 4973
parse time elapsed 4495
parse count (total) 171008
parse count (hard) 1641 (重复执行没发生变化)
parse count (failures) 80

SQL> select count(*) from t1 where object_id = 5001;

COUNT(*)
----------
0

SQL> select name,value from v$sysstat where name like '%parse%';

NAME VALUE
---------------------------------------------------------------- ----------
parse time cpu 4973
parse time elapsed 4495
parse count (total) 171010
parse count (hard) 1642 (当object_id变化的时候产生硬分析)
parse count (failures) 80

SQL>
SQL> select sql_text,child_number from v$sql where sql_text like 'select count(*) from t1 where%';

SQL_TEXT
--------------------------------------------------------------------------------
CHILD_NUMBER
------------
select count(*) from t1 where object_id = :"SYS_B_0"
0

select count(*) from t1 where object_id = :"SYS_B_0"
1

可以看出若存在object_id的 histograms ,则每次是不同的 值 的时候都产生硬解析 ,若不存在 histograms ,则不产生硬解析 。换句话说,当表的字段被分析过存在histograms的时候,similar 的表现和exact一样,当表的字段没被分析不存在histograms的时候,similar的表现和force一样。这样避免了一味地如force一样转换成变量形式,因为有hostograms的情况下转换成变量之后就容易产生错误的执行计划,没有利用上统计信息。而exact呢,在没有hostograms的情况下也要分别产生硬解析,这样的话,由于执行计划不会受到数据分布的影响(因为没有统计信息)重新解析是没有实质意义的。而similar则综合了两者的优点。

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