• PLSQL_统计信息系列08_统计信息生成和还原


    2015-02-01 Created By BaoXinjian

    一、摘要


    统计信息在重新生成后,发现并不能改善程序的性能,甚至更差的时候

    Oracle提供了dbms_stat包,对统计信息进行还原

    1. 还原步骤如下

    Step1. Regather the stats of the tables involved in the query. 重新产生统计信息;

    Step2. Check the excution plan of the SQL with explain plan. 统计信息更新后解析计划效果;

    Step3. If the plan changes back, ask to kill the current running job and re-run it. 如果效果可以,则杀掉该进程,重启程序;

    Step4. If regather doesn't work, try to restore the stats of the table whose stats are gathered recently. 如效果不行,则对计息计划进行还原;

    2. 获取解析计划的脚本

    set pagesize 0
    set linesize 150
    set serveroutput on size 10000
    col plan_table_output format a125
    undefine hash_value
    set verify off feedback off
    var hash_value varchar2(20)
    begin
      :hash_value := '&hash_value';
    end;
    /
    insert into plan_table
          (statement_id,timestamp,operation,options,object_node,object_owner,object_name,
           optimizer,search_columns,id,parent_id,position,cost,cardinality,bytes,other_tag,
           partition_start,partition_stop,partition_id,other,distribution,
           cpu_cost,io_cost,temp_space,access_predicates,filter_predicates,
           plan_id,OBJECT_ALIAS,DEPTH,PROJECTION,TIME,QBLOCK_NAME
          )
    select distinct hash_value,sysdate,operation,options,object_node,object_owner,object_name,
           optimizer,search_columns,id,parent_id,position,cost,cardinality,bytes,other_tag,
           partition_start,partition_stop,partition_id,other,distribution,
           cpu_cost,io_cost,temp_space,access_predicates,filter_predicates,
           :hash_value,OBJECT_ALIAS,DEPTH,PROJECTION,TIME,QBLOCK_NAME
      from v$sql_plan
     where hash_value = :hash_value
    /
    col piece noprint
    select distinct piece,sql_text from v$sqltext where hash_value = :hash_value order by piece
    /
    @?/rdbms/admin/utlxplp.sql
    set linesize 80
    set verify on feedback on pagesize 1000
    Get Explain Plan Scripts

     

    二、案例


    Step1. 获取Session对应的sql_id

      SELECT   b.begin_interval_time, a.sql_id, a.plan_hash_value
        FROM   dba_hist_sqlstat a, dba_hist_snapshot b
       WHERE   a.snap_id = b.snap_id 
         AND   a.SQL_ID = '<SQL_ID>'
    ORDER BY   1;

    Step2. 获取解析计划

    SQL> @getplan
    Enter value for hash_value: 684487124
    ALTER DATABASE OPEN
    
    ----------------------------------------------------------------------------------------------------
    | Id  | Operation                    | Name                | Rows  | Bytes | Cost (%CPU)| Time     |
    ----------------------------------------------------------------------------------------------------
    |   0 | UPDATE STATEMENT             |                     |       |       |     1 (100)|          |
    |   1 |  UPDATE                      | MGMT_TARGETS        |       |       |            |          |
    |*  2 |   TABLE ACCESS BY INDEX ROWID| MGMT_TARGETS        |     1 |   182 |     1   (0)| 00:00:01 |
    |*  3 |    INDEX UNIQUE SCAN         | MGMT_TARGETS_IDX_01 |     1 |       |     0   (0)|          |
    ----------------------------------------------------------------------------------------------------
    
    Predicate Information (identified by operation id):
    ---------------------------------------------------
    
       2 - filter(("LAST_LOAD_TIME"<:B2 OR "LAST_LOAD_TIME" IS NULL))
       3 - access("TARGET_GUID"=:B1)

    Step3. 重新分析表,收集统计信息

    BEGIN
       DBMS_STATS.GATHER_TABLE_STATS (
          ownname            => '<TABLE OWNER>',
          tabname            => '<TABLE NAME>',
          degree             => 8,
          method_opt         => 'FOR ALL COLUMNS SIZE 1',
          cascade            => TRUE,
          estimate_percent   => 1,
          GRANULARITY        => 'GLOBAL AND PARTITION',
          no_invalidate      => FALSE
       );
    END

    Step4. 再次getplan获取计划,查看解析计划是否更新,更新后的解析计划是否正确

    Step5. 若新的解析计划不正确,对统计信息进行回滚

    BEGIN
      DBMS_STATS.RESTORE_TABLE_STATS('TABLE OWNER','TABLE NAME', <TIMESTAMP>, NO_INVALIDATE=>FALSE);
    END;

    Thanks and Regards

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  • 原文地址:https://www.cnblogs.com/eastsea/p/4208167.html
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