OPTIMIZER_INDEX_COST_ADJ参数说明

     OPTIMIZER_INDEX_COST_ADJ lets you tune optimizer behavior for access path selection to be more or less index friendly—that is, to make the optimizer more or less prone to selecting an index access path over a full table scan.

     The default for this parameter is 100 percent, at which the optimizer evaluates index access paths at the regular cost. Any other value makes the optimizer evaluate the access path at that percentage of the regular cost. For example, a setting of 50 makes the index access path look half as expensive as normal.

     这个数反映执行多块IO(全表扫描)的成本与执行单个IO(索引读取)的成本。保持为100，则多块IO与单块IO成本相同。设为50优化程序认为访问单块IO的成本为多块IO的一半。

     OPTIMIZER_INDEX_COST_ADJ参数试验

SQL> create table t_xifenfei
  2  as
  3   select object_id,object_name from dba_objects where rownum<101;

Table created.

SQL> create index ind_t_xifenfei on t_xifenfei(object_id);

Index created.

SQL> EXEC DBMS_STATS.gather_table_stats(user,\'T_XIFENFEI\',CASCADE=>TRUE);

PL/SQL procedure successfully completed.

SQL>  show parameter OPTIMIZER_INDEX;

NAME                                 TYPE                   VALUE
------------------------------------ ---------------------- ------------------------------
optimizer_index_caching              integer                0
optimizer_index_cost_adj             integer                100

SQL> set linesize 150
SQL> set autot trace ext
SQL> select object_name from t_xifenfei where object_id>100;

Execution Plan
----------------------------------------------------------
Plan hash value: 2444553208

----------------------------------------------------------------------------------------------
| Id  | Operation                   | Name           | Rows  | Bytes | Cost (%CPU)| Time     |
----------------------------------------------------------------------------------------------
|   0 | SELECT STATEMENT            |                |     1 |    11 |     2   (0)| 00:00:01 |
|   1 |  TABLE ACCESS BY INDEX ROWID| T_XIFENFEI     |     1 |    11 |     2   (0)| 00:00:01 |
|*  2 |   INDEX RANGE SCAN          | IND_T_XIFENFEI |     1 |       |     1   (0)| 00:00:01 |
----------------------------------------------------------------------------------------------

Predicate Information (identified by operation id):
---------------------------------------------------

   2 - access("OBJECT_ID">100)

SQL> alter session set OPTIMIZER_INDEX_COST_ADJ=1000;

Session altered.

SQL> select object_name from t_xifenfei where object_id>100;

Execution Plan
----------------------------------------------------------
Plan hash value: 548923532

--------------------------------------------------------------------------------
| Id  | Operation         | Name       | Rows  | Bytes | Cost (%CPU)| Time     |
--------------------------------------------------------------------------------
|   0 | SELECT STATEMENT  |            |     1 |    11 |     3   (0)| 00:00:01 |
|*  1 |  TABLE ACCESS FULL| T_XIFENFEI |     1 |    11 |     3   (0)| 00:00:01 |
--------------------------------------------------------------------------------

Predicate Information (identified by operation id):
---------------------------------------------------

   1 - filter("OBJECT_ID">100)

    通过试验证明修改OPTIMIZER_INDEX_COST_ADJ会导致执行计划走index还是全表扫描

     OPTIMIZER_INDEX_CACHING参数说明

     OPTIMIZER_INDEX_CACHING lets you adjust the behavior of cost-based optimization to favor nested loops joins and IN-list iterators.The cost of executing an index using an IN-list iterator or of executing a nested loops join when an index is used to access the inner table depends on the caching of that index in the buffer cache. The amount of caching depends on factors that the optimizer cannot predict, such as the load on the system and the block access patterns of different users.You can modify the optimizer’s assumptions about index caching for nested loops joins and IN-list iterators by setting this parameter to a value between 0 and 100 to indicate the percentage of the index blocks the optimizer should assume are in the cache. Setting this parameter to a higher value makes nested loops joins and IN-list iterators look less expensive to the optimizer. As a result, it will be more likely to pick nested loops joins over hash or sort-merge joins and to pick indexes using IN-list iterators over other indexes or full table scans. The default for this parameter is 0, which results in default optimizer behavior.

     这个表明的是在nested loops joins and IN-list iterators的时候,如果使用了OPTIMIZER_INDEX_CACHING参数,表明两个表关联的时候优化器考虑index cache的比例,从而选择不同的执行计划.而不是网上所说的优化器考虑所有情况下的index的cache情况(这个参数只有在nested loops joins and IN-list iterators表关联的时候的index才会被优化器考虑[index cache的比例]).进一步说明:这个参数影响两个表关联的时候是选择hash jion还是nested loops joins/sort-merge joins

     总结说明

     1.关于OPTIMIZER_INDEX_CACHING的参数效果我未试验出来(可能方法不正确)

     2.根据网上建议在oltp系统中设置

     optimizer_index_caching = 0 optimizer_index_cost_adj = 100 的默认值，一般时候数据仓库报表系统。

     optimizer_index_caching = 90 optimizer_index_cost_adj = 25-50 一般时候事务处理/OLTP系统

     个人意见:optimizer_index_caching = 90完全同意,optimizer_index_cost_adj=25-50保留意见(更偏向nested loops joins/sort-merge joins)

     3.设置这些参数可能存在bug