zoukankan      html  css  js  c++  java
  • [原]使用函数索引优化查询一例

    整个过程基本上没有什么什么新意,仅为留一下一个脚印。

    在一个非常空闲的系统中,用AWR发现一条语句的consistent gets比较高:

    SELECT * FROM 
    (
    	SELECT RESOURCES.CATALOGID, ARTICLE.TITLE AS TITLE, ARTICLE.ID AS ID, 
    	ARTICLE.HOTDESC AS BRIEF, ARTICLE.CREATORTIME AS TIME, ARTICLE.PIC AS PICTURE, 
    	ARTICLE.ISPICARTICLE AS ISPICARTICLE, RESOURCES.URL AS FILEURL, ARTICLE.TYPE AS TYPE, 
    	ARTICLE.LINKURL AS LINKURL, RESOURCES.SITE, RESOURCES.ORDERLINE AS L_ORDERS, 
    	TO_CHAR(ARTICLE.CREATORTIME, 'YYYY') AS YEAR, TO_CHAR(ARTICLE.CREATORTIME, 'MM') AS MONTH, 
    	TO_CHAR(ARTICLE.CREATORTIME, 'DD') AS DAY, TO_CHAR(ARTICLE.CREATORTIME, 'HH24') AS HOUR, 
    	TO_CHAR(ARTICLE.CREATORTIME, 'MI') AS MINUTE, TO_CHAR(ARTICLE.CREATORTIME, 'SS') AS SECOND, 
    	ARTICLE.ISNEW, ARTICLE.ISHOT, ARTICLE.TITLEFONTCOLOR, ARTICLE.TITLEFONTNAME, 
    	ARTICLE.TITLEBOLD , ARTICLE.ORDERS, ARTICLE.ISINSTANCY 
    	FROM ARTICLE, RESOURCES 
    	WHERE 1=1 
    	AND RESOURCES.STATE=1 
    	AND TO_CHAR(ARTICLE.ID)=TRIM(RESOURCES.SOURCEID) 
    	AND RESOURCES.CATALOGID=20794 
    	ORDER BY ISINSTANCY DESC, L_ORDERS DESC
    ) WHERE ROWNUM<31

    执行计划及统计信息如下:

    --------------------------------------------------------------------------------------
    | Id  | Operation                       | Name          | Rows  | Bytes | Cost (%CPU)|
    --------------------------------------------------------------------------------------
    |   0 | SELECT STATEMENT                |               |    30 | 38790 |  2972   (1)|
    |   1 |  COUNT STOPKEY                  |               |       |       |            |
    |   2 |   VIEW                          |               |   126 |   159K|  2972   (1)|
    |   3 |    SORT ORDER BY STOPKEY        |               |   126 | 18018 |  2972   (1)|
    |   4 |     HASH JOIN                   |               |   126 | 18018 |  2972   (1)|
    |   5 |      TABLE ACCESS BY INDEX ROWID| RESOURCES     |   126 |  7560 |    48   (0)|
    |   6 |       INDEX RANGE SCAN          | IDX_RESOURCES |   126 |       |     1   (0)|
    |   7 |      TABLE ACCESS FULL          | ARTICLE       | 60606 |  4912K|  2923   (1)|
    --------------------------------------------------------------------------------------
    Statistics
    ----------------------------------------------------------
              0  recursive calls
              0  db block gets
          13175  consistent gets
              0  physical reads
              0  redo size
           2654  bytes sent via SQL*Net to client
            469  bytes received via SQL*Net from client
              2  SQL*Net roundtrips to/from client
              1  sorts (memory)
              0  sorts (disk)
              6  rows processed

    在内存查询where子句中的 RESOURCES.CATALOGID=20794 ,估计就是引起对 IDX_RESOURCES  的 RANGE SCAN ,而HASH JOIN 应该是由于 TO_CHAR(ARTICLE.ID)=TRIM(RESOURCES.SOURCEID) 这个条件引起的,由于ARTICLE.ID被TO_CHAR函数包裹着,所以,一般的索引是不会被使用的:

    select 
      i.index_name,i.index_type,c.column_name 
    from user_indexes i,user_ind_columns c 
    where i.table_name='ARTICLE' 
      and i.index_name=c.index_name 
    order by i.index_name
    
    INDEX_NAME                     INDEX_TYPE                  COLUMN_NAME
    ------------------------------ --------------------------- ------------------------------
    PK_ARTICLE                     NORMAL                      ID

    于是乎给ARTICLE.ID建一个TO_CHAR的函数索引:

    create index fidx__to_char_ARTICLE_ID on ARTICLE(TO_CHAR(id));

    执行计划改变了:

    -------------------------------------------------------------------------------------------------
    | Id  | Operation                       | Name                     | Rows  | Bytes | Cost (%CPU)|
    -------------------------------------------------------------------------------------------------
    |   0 | SELECT STATEMENT                |                          |    30 | 38790 |  1561   (1)|
    |   1 |  COUNT STOPKEY                  |                          |       |       |            |
    |   2 |   VIEW                          |                          | 76140 |    93M|  1561   (1)|
    |   3 |    SORT ORDER BY STOPKEY        |                          | 76140 |    10M|  1561   (1)|
    |   4 |     NESTED LOOPS                |                          | 76140 |    10M|  1561   (1)|
    |   5 |      TABLE ACCESS BY INDEX ROWID| RESOURCES                |   126 |  7560 |    48   (0)|
    |   6 |       INDEX RANGE SCAN          | IDX_RESOURCES            |   126 |       |     1   (0)|
    |   7 |      TABLE ACCESS BY INDEX ROWID| ARTICLE                  |   606 | 50298 |    12   (0)|
    |   8 |       INDEX RANGE SCAN          | FIDX__TO_CHAR_ARTICLE_ID |    12 |       |     1   (0)|
    -------------------------------------------------------------------------------------------------
    Statistics
    ----------------------------------------------------------
              0  recursive calls
              0  db block gets
             21  consistent gets
              0  physical reads
              0  redo size
           2654  bytes sent via SQL*Net to client
            469  bytes received via SQL*Net from client
              2  SQL*Net roundtrips to/from client
              1  sorts (memory)
              0  sorts (disk)
              6  rows processed

    大大减少了 consistent gets ,这系统变得更加空闲了。

  • 相关阅读:
    数据仓库-(3)企业级数仓实战分享课程-1.课程简介/2.数仓简介/3.基础概念/4.大数据技术栈与组件
    数据仓库-(2)企业级数仓介绍
    数据仓库-(1)数仓主题分享记录
    Spark学习小记-(1)DataFrame的schema
    Hive学习小记-(11)left semi join
    Hive学习小记-(10)hive增量下发的变化流水表如何做update操作
    Hive学习小记-(9)hive分区表加字段**
    Hive学习小记-(8)hive查询除某列外所有数据(正则表达式查询)
    Hive学习小记-(7)group by原理&tips
    我曾七次鄙视自己的灵魂
  • 原文地址:https://www.cnblogs.com/killkill/p/1768149.html
Copyright © 2011-2022 走看看