DB2数据库慢SQL性能优化详解

一、抓取批量耗时最久的SQL：

2、执行次数最多的TOP10SQL"

db2 "select substr(stmt_text,1,500) as stmt_text,NUM_EXECUTIONS,TOTAL_USR_CPU_TIME,TOTAL_EXEC_TIME,SORT_OVERFLOWS from sysibmadm.snapdyn_sql order by NUM_EXECUTIONS desc fetch first 10 rows only"|grep -iv selected

3、平均执行时间最长的TOP10SQL"

db2  "select substr(stmt_text,1,500) as stmt_text,average_execution_time_s,num_executions from sysibmadm.top_dynamic_sql order by average_execution_time_s desc fetch first 10 rows only"|grep -iv selected

4、排序最多的TOP10SQL"

db2 "select substr(stmt_text,1,500) as stmt_text,stmt_sorts,SORT_OVERFLOWS,TOTAL_USR_CPU_TIME,NUM_EXECUTIONS from sysibmadm.snapdyn_sql order by stmt_sorts desc fetch first 10 rows only"|grep -iv selected

5、通过以上SQL获得最耗时的SQL信息如下：

update  tbhisfeyehz  t set client_num=( select count(distinct a.in_client_no) from vsharedetail a, tbbranch b, tbtainfo c  where a.ta_code=c.ta_code and a.open_branch=b.branch_no  and substr(b.internal_branch,1,length(Rtrim(t.internal_branch))) =  t.internal_branch  and a.client_type=t.client_type and a.prd_code=t.prd_code and a.ta_code=t.ta_code and c.prd_type=t.prd_type and a.tot_vol > 0.0001  and a.ta_code=?)  where exists(select 1 from vsharedetail a, tbbranch b, tbtainfo c where a.ta_code=c.ta_code and a.open_branch=b.branch_no  and substr(b.internal_branch,1,length(Rtrim(t.internal_branch))) =  t.internal_branch  and a.client_type=t.client_type and a.prd_code=t.prd_code and a.ta_code=t.ta_code and c.prd_type=t.prd_type and a.tot_vol > 0.0001 and a.ta_code=?)  and internal_branch in(select internal_branch from tbbranch where branch_level<>?)  and sum_flag='0clear

三、为了在测试环境复现该执行计划我们需要从生产导出该SQL用到的所有基表的统计信息还原到测试环境下去。

1、导出统计信息：

db2look -d ifm30 -u ifm40 -m -t tbhisfeyehz -o tbhisfeyehz.sql

db2look -d ifm30 -u ifm40 -m -t tbsharedetail1 -o tbsharedetail1.sql

db2look -d ifm30 -u ifm40 -m -t tbsharedetail2 -o tbsharedetail2.sql

db2look -d ifm30 -u ifm40 -m -t tbsharedetail3 -o tbsharedetail3.sql

db2look -d ifm30 -u ifm40 -m -t tbsharedetail4 -o tbsharedetail4.sql

db2look -d ifm30 -u ifm40 -m -t tbsharedetail5 -o tbsharedetail5.sql

db2look -d ifm30 -u ifm40 -m -t tsys_branch    -o tsys_branch.sql   

db2look -d ifm30 -u ifm40 -m -t tbtainfo       -o tbtainfo.sql      

2、生效到测试环境：

db2 -tvf  tbsharedetail1.sql   

db2 -tvf  tbsharedetail2.sql   

db2 -tvf  tbsharedetail3.sql   

db2 -tvf  tbsharedetail4.sql   

db2 -tvf  tbsharedetail5.sql   

db2 -tvf  tsys_branch.sql      

db2 -tvf  tbtainfo.sql  

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db2 -tvf  tbhisfeyehz.sql

四、分析SQL执行计划，根据执行计划分析关键执行成本之处的SQL计划并做出调整计划

db2 connect to ifm30

db2 set current explain mode explain

db2 -tvf optim.sql

db2 set current explain mode no

db2exfmt -d ifm30 -l -o 

五、使用优化器顾问程序给出的建议进行优化

db2advis -d ifm30 -i optim3.sql -m i -l -1 -t 0 -o product.txt

六、优化相关基表

1、根据优化引擎建议新建唯一索引在对应基表之上

-- index[1],    0.013MB

   CREATE INDEX "IFM40   "."IDX1501210621430" ON "IFM40   "."TBSHAREDETAIL4"

   ("TOT_VOL" ASC) ALLOW REVERSE SCANS COLLECT SAMPLED DETAILED STATISTICS;

   COMMIT WORK ;

-- index[2],    0.013MB

   CREATE INDEX "IFM40   "."IDX1501210623270" ON "IFM40   "."TBSHAREDETAIL3"

   ("TOT_VOL" ASC) ALLOW REVERSE SCANS COLLECT SAMPLED DETAILED STATISTICS;

   COMMIT WORK ;

-- index[3],    0.013MB

   CREATE INDEX "IFM40   "."IDX1501210625230" ON "IFM40   "."TBSHAREDETAIL2"

   ("TOT_VOL" ASC) ALLOW REVERSE SCANS COLLECT SAMPLED DETAILED STATISTICS;

   COMMIT WORK ;

-- index[4],    0.013MB

   CREATE INDEX "IFM40   "."IDX1501210627190" ON "IFM40   "."TBSHAREDETAIL1"

   ("TOT_VOL" ASC) ALLOW REVERSE SCANS COLLECT SAMPLED DETAILED STATISTICS;

   COMMIT WORK ;

-- index[5],    0.013MB

   CREATE INDEX "IFM40   "."IDX1501210629150" ON "IFM40   "."TBSHAREDETAIL5"

   ("TOT_VOL" ASC) ALLOW REVERSE SCANS COLLECT SAMPLED DETAILED STATISTICS;

   COMMIT WORK ;

-- index[6],    0.013MB

   CREATE UNIQUE INDEX "IFM40   "."IDX1501210631080"

   ON "IFM40   "."TBTAINFO" ("TA_CODE" ASC) INCLUDE ("PRD_TYPE")

   ALLOW REVERSE SCANS COLLECT SAMPLED DETAILED STATISTICS;

   COMMIT WORK ;

-- index[7],    0.013MB

   CREATE INDEX "IFM40   "."IDX1501210632520" ON "IFM40   "."TBHISFEYEHZ"

   ("SUM_DATE" ASC, "SUM_FLAG" ASC, "PRD_TYPE" ASC, "TA_CODE"

   ASC, "CLIENT_NUM" ASC, "INTERNAL_BRANCH" ASC, "CLIENT_TYPE"

   ASC, "PRD_CODE" ASC) ALLOW REVERSE SCANS COLLECT SAMPLED DETAILED STATISTICS;

   COMMIT WORK ;

-- index[8],    0.036MB

   CREATE INDEX "IFM40   "."IDX1501210632500" ON "IFM40   "."TSYS_BRANCH"

   ("BRANCH_PATH" ASC, "BRANCH_LEVEL" ASC) ALLOW REVERSE

   SCANS COLLECT SAMPLED DETAILED STATISTICS;

   COMMIT WORK ;

-- index[9],    0.024MB

   CREATE UNIQUE INDEX "IFM40   "."IDX1501210631010"

   ON "IFM40   "."TSYS_BRANCH" ("BRANCH_CODE" ASC) INCLUDE

   ("BRANCH_PATH") ALLOW REVERSE SCANS COLLECT SAMPLED DETAILED STATISTICS;

   COMMIT WORK ;

2、批量统计信息更新

使用如下shell脚本批量优化

cat tblist|while read a

db2 connect to ifm30 >>/dev/null

do

if [ $a <> ' ' ];

   then

db2 "runstats on table ifm40.${a} with distribution and detailed indexes all"

else

  exit

fi

done

3、业务验证，通过重新批量测试，由原来的30min降低到2min优化效果明显