- 相關推薦
Oracle認證：ORACLE綁定變量BINDPEEKING
ORACLE 在9i之后引入了bind peeking,通過bind peeking,oracle可以在硬解析的時候窺探綁定變量的值，并根據當前綁定變量的值生成執行計劃。在oracle 9i之前的版本中，oracle僅僅通過統計信息來生成執行計劃。
下面看一下不同版本oracle下綁定變量對執行計劃的影響
SQL> alter system flush shared_pool;
系統已更改。
SQL> alter system set optimizer_features_enable='8.1.7';
系統已更改。
SQL> var v number;
SQL> exec :v := 1;
PL/SQL 過程已成功完成。
SQL> select count(*) from acs_test_tab where record_type = :v;
COUNT(*)
----------
1
SQL> select * from table(dbms_xplan.display_cursor(null,null,'advanced'));
PLAN_TABLE_OUTPUT
----------------------------------------------------------------------------------------------------
SQL_ID3rg5r8sghcvb3, child number 0
-------------------------------------
select count(*) from acs_test_tab where record_type = :v
Plan hash value: 2956728990
--------------------------------------------------------------------------------
| Id | Operation | Name | Rows | Bytes | Cost |
--------------------------------------------------------------------------------
| 0 | SELECT STATEMENT | | | | 3 |
| 1 | SORT AGGREGATE | | 1 | 4 | |
|* 2 | INDEX RANGE SCAN| ACS_TEST_TAB_RECORD_TYPE_I | 2 | 8 | 3 |
--------------------------------------------------------------------------------
Predicate Information (identified by operation id)：
---------------------------------------------------
2 - access("RECORD_TYPE"=:V)
已選擇47行。
SQL> alter system flush shared_pool;
系統已更改。
SQL> alter system set optimizer_features_enable='11.2.0.3.1';
系統已更改。
SQL> var v number;
SQL> exec :v := 1;
PL/SQL 過程已成功完成。
SQL> select count(*) from acs_test_tab where record_type = :v;
COUNT(*)
----------
1
SQL> select * from table(dbms_xplan.display_cursor(null,null,'advanced'));
PLAN_TABLE_OUTPUT
----------------------------------------------------------------------------------------------------
SQL_ID3rg5r8sghcvb3, child number 0
-------------------------------------
select count(*) from acs_test_tab where record_type = :v
Plan hash value: 2956728990
------------------------------------------------------------------------------------------------
| Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time |
------------------------------------------------------------------------------------------------
| 0 | SELECT STATEMENT | | | | 3 (100)| |
| 1 | SORT AGGREGATE | | 1 | 4 | | |
|* 2 | INDEX RANGE SCAN| ACS_TEST_TAB_RECORD_TYPE_I | 1 | 4 | 3 (0)| 00:00:01 |
------------------------------------------------------------------------------------------------
Peeked Binds (identified by position)：
--------------------------------------
1 - :V (NUMBER)： 1 --綁定變量窺探
Predicate Information (identified by operation id)：
---------------------------------------------------
2 - access("RECORD_TYPE"=:V)
已選擇49行。
SQL> alter system flush shared_pool;
系統已更改。
SQL> exec :v := 2;
PL/SQL 過程已成功完成。
SQL> select count(*) from acs_test_tab where record_type = :v;
COUNT(*)
----------
50000
SQL> select * from table(dbms_xplan.display_cursor(null,null,'advanced'));
PLAN_TABLE_OUTPUT
----------------------------------------------------------------------------------------------------
SQL_ID3rg5r8sghcvb3, child number 0
-------------------------------------
select count(*) from acs_test_tab where record_type = :v
Plan hash value: 2957754476
----------------------------------------------------------------------------------------------------
| Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time |
----------------------------------------------------------------------------------------------------
| 0 | SELECT STATEMENT | | | | 136 (100)| |
| 1 | SORT AGGREGATE | | 1 | 4 || |
|* 2 | INDEX FAST FULL SCAN| ACS_TEST_TAB_RECORD_TYPE_I | 48031 | 187K| 136 (1)| 00:00:02 |
----------------------------------------------------------------------------------------------------
Peeked Binds (identified by position)：
--------------------------------------
1 - :V (NUMBER)： 2 --綁定變量窺探，綁定變量會影響最初硬解析的執行計劃
Predicate Information (identified by operation id)：
---------------------------------------------------
2 - filter("RECORD_TYPE"=:V)
已選擇49行。
使用綁定變量窺測的好處是：可以幫助優化器在第一次硬解析時選擇最優的執行計劃。但是同時這也是其弊端：在第一次硬解析后，后面發生的所有解析都會使用第一次硬解析生成的執行計劃，如果數據的分布是均勻的，問題不大，如果數據分布式傾斜的，那么第一次硬解析生成的執行計劃未必是最優的，甚至可能是非常糟糕的。例如：
SQL> show parameter optimizer_feat
NAME TYPE VALUE
------------------------------------ ----------- ------------------------------
optimizer_features_enable string 11.2.0.3.1
SQL> alter system flush shared_pool;
系統已更改。
SQL> var v number;
SQL> exec :v := 2;
PL/SQL 過程已成功完成。
SQL> select count(*) from acs_test_tab where record_type = :v;
COUNT(*)
----------
50000
SQL> select * from table(dbms_xplan.display_cursor);
PLAN_TABLE_OUTPUT
----------------------------------------------------------------------------------------------------
SQL_ID3rg5r8sghcvb3, child number 0
-------------------------------------
select count(*) from acs_test_tab where record_type = :v
Plan hash value: 2957754476
----------------------------------------------------------------------------------------------------
| Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time |
----------------------------------------------------------------------------------------------------
| 0 | SELECT STATEMENT | | | | 136 (100)| |
| 1 | SORT AGGREGATE | | 1 | 4 || |
|* 2 | INDEX FAST FULL SCAN| ACS_TEST_TAB_RECORD_TYPE_I | 48031 | 187K| 136 (1)| 00:00:02 |
----------------------------------------------------------------------------------------------------
Predicate Information (identified by operation id)：
---------------------------------------------------
2 - filter("RECORD_TYPE"=:V)
已選擇19行。
SQL> exec :v := 1
PL/SQL 過程已成功完成。
SQL> select count(*) from acs_test_tab where record_type = :v;
COUNT(*)
----------
1
SQL> select * from table(dbms_xplan.display_cursor);
PLAN_TABLE_OUTPUT
----------------------------------------------------------------------------------------------------
SQL_ID3rg5r8sghcvb3, child number 0
-------------------------------------
select count(*) from acs_test_tab where record_type = :v
Plan hash value: 2957754476
----------------------------------------------------------------------------------------------------
| Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time |
----------------------------------------------------------------------------------------------------
| 0 | SELECT STATEMENT | | | | 136 (100)| |
| 1 | SORT AGGREGATE | | 1 | 4 || |
|* 2 | INDEX FAST FULL SCAN| ACS_TEST_TAB_RECORD_TYPE_I | 48031 | 187K| 136 (1)| 00:00:02 |
----------------------------------------------------------------------------------------------------
Predicate Information (identified by operation id)：
---------------------------------------------------
2 - filter("RECORD_TYPE"=:V)
已選擇19行。
SQL> select count(*) from acs_test_tab where record_type = 1;
COUNT(*)
----------
1
SQL> select * from table(dbms_xplan.display_cursor);
PLAN_TABLE_OUTPUT
----------------------------------------------------------------------------------------------------
SQL_ID1pxm87f6yd0bp, child number 0
-------------------------------------
select count(*) from acs_test_tab where record_type = 1
Plan hash value: 2956728990
------------------------------------------------------------------------------------------------
| Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time |
------------------------------------------------------------------------------------------------
| 0 | SELECT STATEMENT | | | | 3 (100)| |
| 1 | SORT AGGREGATE | | 1 | 4 | | |
|* 2 | INDEX RANGE SCAN| ACS_TEST_TAB_RECORD_TYPE_I | 1 | 4 | 3 (0)| 00:00:01 |
------------------------------------------------------------------------------------------------
Predicate Information (identified by operation id)：
---------------------------------------------------
2 - access("RECORD_TYPE"=1)
已選擇19行。
對于變量v的取值為1的執行計劃和采用常量1的執行計劃性能差距還是比較大的。
總結：oracle在9i后引入變量窺測技術，該技術對于數據分布均勻的數據是非常合適的，但是對于分布傾斜的數據或者在OLAP系統中是不建議使用的。
【Oracle認證：ORACLE綁定變量BINDPEEKING】相關文章：
Oracle認證作用03-19
Oracle認證簡介11-30
Oracle最新認證03-09
Oracle認證途徑03-20
Oracle認證：Oracle內存結構研究-PGA篇03-08
Oracle認證職業前景03-19
Oracle認證考試技巧03-19