Tag: Oracle

How many times have you received user’s phone call stating that the DB is slow?, well sometimes this has nothing to do with the DB’s overall performance itself, but with a user’s query.

Now the question is, is this query really slow?, the best way to find this out is comparing the actual execution time with the ones in the past. Here’s a SQL statement which search inside AWR repository (Caution!!! a special license is required!!!), it compares the execution plan of all SQL_ID’s against the previous snapshot.

awr_planchanges.sql

  prompt enter the number of days in the past to scan
  SET LINES 500
  SELECT A.SNAP_ID,
         BEGIN_INTERVAL_TIME,
         SQL_ID,
         HASH_VALUE1,
         HASH_VALUE2,
         VALUE1 as “ELAPSED TIME PER EXEC 1” ,
         VALUE2 as “ELAPSED TIME PER EXEC 2”,
         ROUND (CHANGE_PERCENT) as “CHANGE PERCENT”
    FROM (  SELECT SNAP_ID,
                   SQL_ID,
                   SUM (pvalue1) HASH_VALUE1,
                   SUM (pvalue2) HASH_VALUE2,
                   SUM (value1) VALUE1,
                   SUM (value2) VALUE2,
                   (SUM (VALUE1) + 1) * 100 / (SUM (VALUE2) + 1)
                      AS CHANGE_PERCENT
              FROM (SELECT snap_id,
                           0 AS snap2,
                           sql_id,
                           plan_hash_value AS pvalue1,
                           0 AS pvalue2,
                           ROUND (
                              elapsed_time_delta / executions_delta / 1000000,
                              3)
                              AS value1,
                           0 AS value2
                      FROM dba_hist_sqlstat sql
                     WHERE executions_delta > 0
                    UNION
                    SELECT snap_id + 1,
                           snap_id AS snap2,
                           sql_id,
                           0 AS pvalue1,
                           plan_hash_value AS pvalue2,
                           0 AS vaule,
                           ROUND (
                              elapsed_time_delta / executions_delta / 1000000,
                              3)
                              AS value2
                      FROM dba_hist_sqlstat sql
                     WHERE executions_delta > 0)
          GROUP BY SNAP_ID, SQL_ID) A,
         dba_hist_snapshot B
   WHERE     A.SNAP_ID = B.SNAP_ID
         AND HASH_VALUE1 > 0
         AND HASH_VALUE2 > 0
         AND HASH_VALUE1 != HASH_VALUE2
         AND BEGIN_INTERVAL_TIME > SYSDATE – (&days)
ORDER BY A.SNAP_ID
/

This is the output of the script:

SNAP_ID BEGIN_INTERVAL_TIME       SQL_ID       HASH_VALUE1 HASH_VALUE2 SEC PER EXE 1 SEC PER EXE 2 CHANGE % 
——– ———————–  ————- ———– ———– ————- ————- ——–
9547 01-OCT-12 01.00.07.841 AM   4urszd9dt9fjv  4862331523   891004645          .015          .007       101
9585 02-OCT-12 03.00.41.798 PM   4urszd9dt9fjv  4862331523   891004645          .009          .003       101
9586 02-OCT-12 04.00.36.393 PM   4urszd9dt9fjv   891004645  4862331523          .006          .009       100
9587 02-OCT-12 05.00.25.306 PM   1k30v0pyg32vu   414828074   878600859          .179          .157       102
9587 02-OCT-12 05.00.25.306 PM   dsm86bzuqtd2r  2452407222  3005749068          .048         1.37         44
9616 03-OCT-12 10.00.34.499 PM   4urszd9dt9fjv  4862331523   891004645          .018          .023       100
9621 04-OCT-12 03.00.06.979 AM   4urszd9dt9fjv   891004645  4862331523          .03           .027       100
9640 04-OCT-12 09.00.40.250 PM   4urszd9dt9fjv  4862331523   891004645          .042          .012       103
9641 04-OCT-12 10.00.22.954 PM   dfmu8nm1cscx7  3810296266  4308029399          .938          .703       114
9710 07-OCT-12 07.00.09.269 PM   4urszd9dt9fjv  4862331523   891004645          .046          .015       103
9750 09-OCT-12 11.00.59.162 AM   1k30v0pyg32vu  1634868183   414828074          .16           .155       100
9758 09-OCT-12 07.00.10.659 PM   b70xavb9wv27v  1111647858  4256287279         5.937         6.475        93

12 rows selected.

You can clearly see how the HASH_VALUE changed and the execution time as well. If the CHANGE % is above 100% means that execution time decreased, on the other hand CHANGE % below 100% means the execution time increased.

ORAganism blog is having a really good script which searches by SQL_ID.

http://oraganism.wordpress.com/2011/12/14/a-dba_hist_sqlstat-query-that-i-am-very-fond-of/ 


Happy troubleshooting,
Alfred

Same post in Spanish here!