awr报告中的sql明细部分基本必看的部分，尤其是SQL Order by Elapsed time这个部分，能够很清晰的看到哪些sql语句占用了较多的DB time，所占的比例。这个可以作为调优时的一个重要参考，可以有针对性的来看哪些sql需要格外关注。
比如说我们得到了一个awr报告，Elapsed time这个部分的内容如下。可以很明显看出sql_id为 dfb15m5s2uwmc的sql需要格外关注，因为它占用了近一半的DB time.
awr提供的功能集很完整，如果我们能够更快的定位出来哪些sql占用了较多的DB time而不用每次都去生成一个awr报告，其实也是可以实现的,我们可以定制。
在之前的博客中提到awr的导出 http://blog.itpub.net/23718752/viewspace-1123134/
部分日志如下：
. . exported "SYS"."WRH$_SQL_PLAN" 432.1 KB 1089 rows
. . exported "SYS"."WRH$_LATCH":"WRH$_LATCH_3645037571_0" 198.6 KB 3871 rows
. . exported "SYS"."WRH$_SYSMETRIC_HISTORY" 180.1 KB 3600 rows
比如说我们得到了一个awr报告，Elapsed time这个部分的内容如下。可以很明显看出sql_id为 dfb15m5s2uwmc的sql需要格外关注，因为它占用了近一半的DB time.
| Elapsed Time (s) | Executions | per Exec (s) | %Total | %CPU | %IO | SQL Id | SQL Module | SQL Text |
|---|---|---|---|---|---|---|---|---|
| 3,601.90 | 0 | 48.52 | 99.77 | 0.16 | dfb15m5s2uwmc | JDBC Thin Client | SELECT :1, machinecode, cn, co... | |
| 1,612.04 | 21 | 76.76 | 21.71 | 99.97 | 0.00 | 8tmf11fvxy09j | JDBC Thin Client | SELECT ROUND(AVG(SUM(END_TIME... |
| 1,593.80 | 20 | 79.69 | 21.47 | 99.97 | 0.00 | cy55p6nrd31db | JDBC Thin Client | SELECT MAX(USER_CLASS) FROM S... |
| 298.34 | 20 | 14.92 | 4.02 | 99.96 | 0.00 | 29tdwfv5d9s4f | JDBC Thin Client | SELECT NVL(SUM(OTAL), ... |
在之前的博客中提到awr的导出 http://blog.itpub.net/23718752/viewspace-1123134/
部分日志如下：
. . exported "SYS"."WRH$_SQL_PLAN" 432.1 KB 1089 rows
. . exported "SYS"."WRH$_LATCH":"WRH$_LATCH_3645037571_0" 198.6 KB 3871 rows
. . exported "SYS"."WRH$_SYSMETRIC_HISTORY" 180.1 KB 3600 rows
可以看到awr的基表是wrh$开头的，这个和我们常用的数据字典表息息相关。
比如sqlstat,数据字典里的历史数据就把wrh$换位dba_hist即可。
我们查看dba_hist_sqlstat的基表，其实发现就是wrh$这样的基表。
$ ksh showdict.sh DBA_HIST_SQLSTAT
object_details
OWNER OBJECT_ID DATA_OBJECT_ID OBJECT_NAME OBJECT_TYPE
------------------------------ ---------- -------------- ------------------------------ -------------------
SYS 9409 DBA_HIST_SQLSTAT VIEW
PUBLIC 9410 DBA_HIST_SQLSTAT SYNONYM
synonym_details
OWNER SYNONYM_NAME
------------------------------ ------------------------------
PUBLIC DBA_HIST_SQLSTAT
view_details
VIEW_NAME TEXT
------------------------------ --------------------------------------------------------------------------------
DBA_HIST_SQLSTAT select sql.snap_id, sql.dbid, sql.instance_number,
xxxx from WRM$_SNAPSHOT sn, WRH$_SQLSTAT sql
where sn.snap_id = sql.snap_id
and sn.dbid = sql.dbid
and sn.instance_number = sql.instance_number
and sn.status = 0
比如sqlstat,数据字典里的历史数据就把wrh$换位dba_hist即可。
我们查看dba_hist_sqlstat的基表，其实发现就是wrh$这样的基表。
$ ksh showdict.sh DBA_HIST_SQLSTAT
object_details
OWNER OBJECT_ID DATA_OBJECT_ID OBJECT_NAME OBJECT_TYPE
------------------------------ ---------- -------------- ------------------------------ -------------------
SYS 9409 DBA_HIST_SQLSTAT VIEW
PUBLIC 9410 DBA_HIST_SQLSTAT SYNONYM
synonym_details
OWNER SYNONYM_NAME
------------------------------ ------------------------------
PUBLIC DBA_HIST_SQLSTAT
view_details
VIEW_NAME TEXT
------------------------------ --------------------------------------------------------------------------------
DBA_HIST_SQLSTAT select sql.snap_id, sql.dbid, sql.instance_number,
xxxx from WRM$_SNAPSHOT sn, WRH$_SQLSTAT sql
where sn.snap_id = sql.snap_id
and sn.dbid = sql.dbid
and sn.instance_number = sql.instance_number
and sn.status = 0
那么我们就可以直接从这些数据字典历史表里去查看所需要的信息而不用每次都重新生成一个awr报告。
当然实现的过程也略微费了一些周折，把脚本稍一加工，就成了shell版本。
sqlplus -s $DB_CONN_STR@$SH_DB_SID break on db_name
set pages 50
set linesize 100
col elapsed_time format a10
col per_total format a10
prompt
prompt Current Instance
prompt ~~~~~~~~~~~~~~~~
select d.dbid dbid
, d.name db_name
, i.instance_number inst_num
, i.instance_name inst_name
from v\$database d,
v\$instance i;
select snap_id,sql_id,EXECUTIONS_DELTA,max_elapsed elapsed_time,per_total||'%' per_total from
(select distinct snap_id,sql_id,EXECUTIONS_DELTA,trunc(max(ELAPSED_TIME_DELTA) OVER (PARTITION BY snap_id,sql_id )/1000000,0)||'s' max_elapsed,
trunc((max(ELAPSED_TIME_DELTA) OVER (PARTITION BY snap_id,sql_id))/(SUM(ELAPSED_TIME_DELTA) OVER (PARTITION BY snap_id )),2)*100 per_total
from dba_hist_sqlstat where snap_id=$1
order by 5 desc
) where rownum
输出的内容结果如下，和html的格式比起来，也还是很清晰的,只需要输入结束的快照号即可。
$ ksh showsnapsql.sh 57584
Current Instance
~~~~~~~~~~~~~~~~
DBID DB_NAME INST_NUM INST_NAME
---------- --------- ---------- ----------------
2534640677 TESTDB2 1 xxxxx
SNAP_ID SQL_ID EXECUTIONS_DELTA ELAPSED_TI PER_TOTAL
---------- ------------- ---------------- ---------- ----------
57494 dfb15m5s2uwmc 0 3601s 48%
57494 8tmf11fvxy09j 21 1612s 21%
57494 cy55p6nrd31db 20 1593s 21%
57494 29tdwfv5d9s4f 20 298s 4%
57494 c7k4g2urpu1sc 0 175s 2%
这个时候就可以轻松抓取到问题sql，直接来判定是否需要更多的信息。
--------------------------------
2016年12月30日更新
可以使用更新后的分析函数，效果要好一些。输入起始和结束的快照号 比如sh showsnapsql.sh 100 101
sqlplus -s $DB_CONN_STR@$SH_DB_SID break on db_name
set pages 50
set linesize 100
col elapsed_time format 99999999.99
col cpu_time format 99999999.99
col per_total format a10
prompt
prompt Current Instance
prompt ~~~~~~~~~~~~~~~~
select d.dbid dbid
, d.name db_name
, i.instance_number inst_num
, i.instance_name inst_name
from v\$database d,
v\$instance i;
select * from (
select distinct snap_id,sql_id,EXECUTIONS_DELTA,round(ELAPSED_TIME_DELTA/1000000,2) Elapsed_time,round(ratio_to_report(ELAPSED_TIME_DELTA) over() *100,2)||'%' per_total
from dba_hist_sqlstat where snap_id=$2
order by 4 desc)
where rownum
select * from (
select distinct snap_id,sql_id,EXECUTIONS_DELTA,round(CPU_TIME_DELTA/1000000,2) CPU_time,round(ratio_to_report(CPU_TIME_DELTA) over() *100,2)||'%' per_total
from dba_hist_sqlstat where snap_id=$2
order by 4 desc)
where rownum
EOF
当然实现的过程也略微费了一些周折，把脚本稍一加工，就成了shell版本。
sqlplus -s $DB_CONN_STR@$SH_DB_SID break on db_name
set pages 50
set linesize 100
col elapsed_time format a10
col per_total format a10
prompt
prompt Current Instance
prompt ~~~~~~~~~~~~~~~~
select d.dbid dbid
, d.name db_name
, i.instance_number inst_num
, i.instance_name inst_name
from v\$database d,
v\$instance i;
select snap_id,sql_id,EXECUTIONS_DELTA,max_elapsed elapsed_time,per_total||'%' per_total from
(select distinct snap_id,sql_id,EXECUTIONS_DELTA,trunc(max(ELAPSED_TIME_DELTA) OVER (PARTITION BY snap_id,sql_id )/1000000,0)||'s' max_elapsed,
trunc((max(ELAPSED_TIME_DELTA) OVER (PARTITION BY snap_id,sql_id))/(SUM(ELAPSED_TIME_DELTA) OVER (PARTITION BY snap_id )),2)*100 per_total
from dba_hist_sqlstat where snap_id=$1
order by 5 desc
) where rownum
输出的内容结果如下，和html的格式比起来，也还是很清晰的,只需要输入结束的快照号即可。
$ ksh showsnapsql.sh 57584
Current Instance
~~~~~~~~~~~~~~~~
DBID DB_NAME INST_NUM INST_NAME
---------- --------- ---------- ----------------
2534640677 TESTDB2 1 xxxxx
SNAP_ID SQL_ID EXECUTIONS_DELTA ELAPSED_TI PER_TOTAL
---------- ------------- ---------------- ---------- ----------
57494 dfb15m5s2uwmc 0 3601s 48%
57494 8tmf11fvxy09j 21 1612s 21%
57494 cy55p6nrd31db 20 1593s 21%
57494 29tdwfv5d9s4f 20 298s 4%
57494 c7k4g2urpu1sc 0 175s 2%
这个时候就可以轻松抓取到问题sql，直接来判定是否需要更多的信息。
--------------------------------
2016年12月30日更新
可以使用更新后的分析函数，效果要好一些。输入起始和结束的快照号 比如sh showsnapsql.sh 100 101
sqlplus -s $DB_CONN_STR@$SH_DB_SID break on db_name
set pages 50
set linesize 100
col elapsed_time format 99999999.99
col cpu_time format 99999999.99
col per_total format a10
prompt
prompt Current Instance
prompt ~~~~~~~~~~~~~~~~
select d.dbid dbid
, d.name db_name
, i.instance_number inst_num
, i.instance_name inst_name
from v\$database d,
v\$instance i;
select * from (
select distinct snap_id,sql_id,EXECUTIONS_DELTA,round(ELAPSED_TIME_DELTA/1000000,2) Elapsed_time,round(ratio_to_report(ELAPSED_TIME_DELTA) over() *100,2)||'%' per_total
from dba_hist_sqlstat where snap_id=$2
order by 4 desc)
where rownum
select * from (
select distinct snap_id,sql_id,EXECUTIONS_DELTA,round(CPU_TIME_DELTA/1000000,2) CPU_time,round(ratio_to_report(CPU_TIME_DELTA) over() *100,2)||'%' per_total
from dba_hist_sqlstat where snap_id=$2
order by 4 desc)
where rownum
EOF
