生产系统调优之_敢于质疑(90天)

jeanron100

发布于 2018-03-14 11:46:13

4890

发布于 2018-03-14 11:46:13

接着昨天的那个问题来说。有个sql语句在做了统计信息收集之后，速度有了一定的提升，从5秒的响应降低到了2秒。但是和预期还是有一定的差距，按照80条查询请求在短时间内响应。2秒*80000次/60/60=44.4小时，本来感觉可以接受的一下子就成了大问题。

	Elapsed Time (s)	Executions	Elapsed Time per Exec (s)	%Total	%CPU	%IO	SQL Id	SQL Module	SQL Text
31stMay	305.44	145	2.11	25.56	99.69	0.26	2fjzq67jbztwv	gext1GenericEx@ccbdbpr1 (TNS V1-V3)	/* */ SELECT DISTINCT 'K', AR....


和那个同事又确认了下，他说在其他项目也用的这个sql语句数据量还要大的多，就是没有问题。
有了昨天的一些数据，我自己也基本心里有数了，我表示怀疑，在此基础上能做的就是仔细看看这个sql语句了，看看到底实现细节有没有问题。
可以看到加入了一些hint，嵌入了子查询。
SELECT DISTINCT 'K',
                AR.RESOURCE_VALUE,
                AR.RESOURCE_TYPE,
                GREATEST(TO_CHAR(AR.EFFECTIVE_DATE, 'YYYYMMDDHH24MISS'),
                         TO_CHAR(SB.EFFECTIVE_DATE, 'YYYYMMDDHH24MISS')),
                LEAST(NVL(TO_CHAR(AR.EXPIRATION_DATE, 'YYYYMMDDHH24MISS'),
                          '47001231000000'),
                      NVL(TO_CHAR(SB.EXPIRATION_DATE, 'YYYYMMDDHH24MISS'),
                          '47001231000000')),
                AR.AGR_NO,
                SB.MEDIUM_CUS_ID,
                SB.SUB_STATUS,
                SB.BUSINESS_ENTITY_ID,
                SB.LANGUAGE,
                SB.ROUTING_POLICY_ID,
                SB.L9_PORT_IND,
                SB.L9_SPLIT_PERIOD
  FROM HUGE_RESOURCE AR,  --这个表有大约2000多万条数据，做了分区
       MEDIUM_SUB SB,   --这个表有50万左右的数据
       (select /*+ RESULT_CACHE */
        DISTINCT PARAM_NAME as PARAM_NAME 
          from SMALL_PARAM    --这个表比较小，有不到2万条记录，如果加过滤条件，能过滤掉一半多的数据，因为那个字段不在索引字段里，所以加了result_cache
         where GUIDING_IND = 'Y') OP,
       MEDIUM_CUS CS
WHERE AR.AGR_NO = 1056851
   AND AR.AGREEMENT_KEY = MOD(1056851, 100)
   AND (AR.RESOURCE_STATE != 'F' OR AR.RESOURCE_STATE IS NULL)
   AND AR.RANGE_IND = 'N'
   AND SB.MEDIUM_SUB_NO = AR.AGR_NO
   AND EXISTS
(select /*+ INDEX(OP SMALL_PARAM_1IX) */
         1
          from SMALL_PARAM OP
         where OP.PARAM_NAME in (AR.RESOURCE_PRM_CD, AR.BASE_PARAM_NAME) )
   AND SB.MEDIUM_CUS_ID = CS.MEDIUM_CUS_ID
   AND (SB.EXPIRATION_DATE IS NULL OR SB.EXPIRATION_DATE >= to_date('19000101000000','YYYYMMDDHH24MISS'))
   AND (AR.EXPIRATION_DATE IS NULL OR AR.EXPIRATION_DATE >= to_date('19000101000000','YYYYMMDDHH24MISS'))
   AND (AR.EFFECTIVE_DATE < SB.EXPIRATION_DATE OR
       SB.EXPIRATION_DATE IS NULL)
   AND (AR.EXPIRATION_DATE IS NULL OR
       AR.EXPIRATION_DATE > SB.EFFECTIVE_DATE)
   AND SB.SUB_STATUS != 'T'
UNION ALL
SELECT DISTINCT 'K',
                AR.RESOURCE_VALUE,
                AR.RESOURCE_TYPE,
                GREATEST(TO_CHAR(AR.EFFECTIVE_DATE, 'YYYYMMDDHH24MISS'),
                         TO_CHAR(SH.EFFECTIVE_DATE, 'YYYYMMDDHH24MISS')),
                LEAST(NVL(TO_CHAR(AR.EXPIRATION_DATE, 'YYYYMMDDHH24MISS'),
                          '47001231000000'),
                      NVL(TO_CHAR(SH.EXPIRATION_DATE, 'YYYYMMDDHH24MISS'),
                          '47001231000000')),
                AR.AGR_NO,
                SH.MEDIUM_CUS_ID,
                SH.SUB_STATUS,
                SH.BUSINESS_ENTITY_ID,
                SH.LANGUAGE,
                SH.ROUTING_POLICY_ID,
                SH.L9_PORT_IND,
                SH.L9_SPLIT_PERIOD
  FROM HUGE_RESOURCE AR,
       MEDIUM_SUB_HISTORY SH,
       (select /*+ RESULT_CACHE */
        DISTINCT PARAM_NAME as PARAM_NAME
          from SMALL_PARAM
         where GUIDING_IND = 'Y') OP,
       MEDIUM_CUS CS
WHERE AR.AGR_NO = 1056851
   AND AR.AGREEMENT_KEY = MOD(1056851, 100)
   AND (AR.RESOURCE_STATE != 'F' OR AR.RESOURCE_STATE IS NULL)
   AND AR.RANGE_IND = 'N'
   AND SH.MEDIUM_SUB_NO = AR.AGR_NO
   AND EXISTS
(select /*+ INDEX(OP SMALL_PARAM_1IX) */
         1
          from SMALL_PARAM OP
         where OP.PARAM_NAME in (AR.RESOURCE_PRM_CD, AR.BASE_PARAM_NAME))
   AND SH.MEDIUM_CUS_ID = CS.MEDIUM_CUS_ID
   AND (SH.EXPIRATION_DATE IS NULL OR SH.EXPIRATION_DATE >= to_date('19000101000000','YYYYMMDDHH24MISS'))
   AND (AR.EXPIRATION_DATE IS NULL OR AR.EXPIRATION_DATE >= to_date('19000101000000','YYYYMMDDHH24MISS'))
   AND (AR.EFFECTIVE_DATE < SH.EXPIRATION_DATE OR
       SH.EXPIRATION_DATE IS NULL)
   AND (AR.EXPIRATION_DATE IS NULL OR
       AR.EXPIRATION_DATE > SH.EFFECTIVE_DATE)
   AND SH.SUB_STATUS NOT IN ('C', 'T')

试着在生产上抓了一个执行计划，又看了一下统计信息。

Statistics
----------------------------------------------------------
        113  recursive calls
          8  db block gets
     31581  consistent gets
          0  physical reads
          0  redo size
       1997  bytes sent via SQL*Net to client
        520  bytes received via SQL*Net from client
          2  SQL*Net roundtrips to/from client
         20  sorts (memory)
          0  sorts (disk)
          6  rows processed
 Elapsed: 00:02:44.14


---------------------------------------------------------------------------------------------------------------------------------------
| Id  | Operation                                | Name                       | Rows  | Bytes | Cost (%CPU)| Time     | Pstart| Pstop |
---------------------------------------------------------------------------------------------------------------------------------------
|   0 | SELECT STATEMENT                         |                            |    13 |  2905 |   519  (59)| 00:00:07 |       |       |

在备份库上查看，结果同样的查询一下子没有了反应。执行了将近3分钟还是没有反应。备份库的资源要比生产差一些。好了感觉有问题了。开始看看这个sql语句的第一部分。

SELECT DISTINCT 'K',
                AR.RESOURCE_VALUE,
                AR.RESOURCE_TYPE,
                GREATEST(TO_CHAR(AR.EFFECTIVE_DATE, 'YYYYMMDDHH24MISS'),
                         TO_CHAR(SB.EFFECTIVE_DATE, 'YYYYMMDDHH24MISS')),
                LEAST(NVL(TO_CHAR(AR.EXPIRATION_DATE, 'YYYYMMDDHH24MISS'),
                          '47001231000000'),
                      NVL(TO_CHAR(SB.EXPIRATION_DATE, 'YYYYMMDDHH24MISS'),
                          '47001231000000')),
                AR.AGR_NO,
                SB.MEDIUM_CUS_ID,
                SB.SUB_STATUS,
                SB.BUSINESS_ENTITY_ID,
                SB.LANGUAGE,
                SB.ROUTING_POLICY_ID,
                SB.L9_PORT_IND,
                SB.L9_SPLIT_PERIOD
  FROM HUGE_RESOURCE AR,  --这个表有大约2000多万条数据，做了分区
       MEDIUM_SUB SB,   --这个表有50万左右的数据
  (select /*+ RESULT_CACHE */
        DISTINCT PARAM_NAME as PARAM_NAME 
          from SMALL_PARAM    --这个表比较小，有不到2万条记录，如果加过滤条件，能过滤掉一半多的数据，因为那个字段不在索引字段里，所以加了result_cache
         where GUIDING_IND = 'Y') OP,
       MEDIUM_CUS CS
WHERE AR.AGR_NO = 1056851
   AND AR.AGREEMENT_KEY = MOD(1056851, 100)
   AND (AR.RESOURCE_STATE != 'F' OR AR.RESOURCE_STATE IS NULL)
   AND AR.RANGE_IND = 'N'
   AND SB.MEDIUM_SUB_NO = AR.AGR_NO
   AND EXISTS
(select /*+ INDEX(OP SMALL_PARAM_1IX) */
         1
  from SMALL_PARAM OP
         where OP.PARAM_NAME in (AR.RESOURCE_PRM_CD, AR.BASE_PARAM_NAME) )
   AND SB.MEDIUM_CUS_ID = CS.MEDIUM_CUS_ID
   AND (SB.EXPIRATION_DATE IS NULL OR SB.EXPIRATION_DATE >= to_date('19000101000000','YYYYMMDDHH24MISS'))
   AND (AR.EXPIRATION_DATE IS NULL OR AR.EXPIRATION_DATE >= to_date('19000101000000','YYYYMMDDHH24MISS'))
   AND (AR.EFFECTIVE_DATE < SB.EXPIRATION_DATE OR
       SB.EXPIRATION_DATE IS NULL)
   AND (AR.EXPIRATION_DATE IS NULL OR
       AR.EXPIRATION_DATE > SB.EFFECTIVE_DATE)
   AND SB.SUB_STATUS != 'T'

因为结果集的输出中没有op这个表的列，而且在where子句中存在exists语句，在exists里面也没有做关联，那个同事坚持说想在做关联的时候把op的数据先做了result cache,在子查询中就能做关联了，避免重复的表扫描。听起来好像有道理，我觉得语句有问题，尽管说是产品部分提供的方案。op在from 后，但是和后面的流程都没有关联，但也没有做笛卡尔积。在他的强烈反对中我把以下的部分从from中删除。

  (select /*+ RESULT_CACHE */
        DISTINCT PARAM_NAME as PARAM_NAME 
          from SMALL_PARAM    --这个表比较小，有不到2万条记录，如果加过滤条件，能过滤掉一半多的数据，因为那个字段不在索引字段里，所以加了result_cache
         where GUIDING_IND = 'Y') OP,

然后在备份库上重新跑一次，没想到一下子就有了反应。存在一定的物理读，第二次运行就没有了。逻辑度有了近6倍的提升，执行时间在0.02-0.07之间。

Statistics
----------------------------------------------------------
          1  recursive calls
          0  db block gets
 5854  consistent gets
        605  physical reads
         72  redo size
       1900  bytes sent via SQL*Net to client
        520  bytes received via SQL*Net from client
          2  SQL*Net roundtrips to/from client
          0  sorts (memory)
          0  sorts (disk)
          4  rows processed

按照这个速度，0.07秒*80000次/60/60=1.55小时，剩下的事情就是和他们确认一些具体的细节了。

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