Oracle Performance Issues – FTS

The software that we design needs to be periodically reviewed and optimized for performance. We have the option of throwing cheaper hardware (horizontal or vertical scaling) to mitigate performance issues, not to mention licensing requirements. Unless revisited and optimized, the solution does not scale well. Leaving some boiler plate code that can be reused causes more headaches down the line.

While analyzing one such performance issue, I identified that a dozen staging tables had silently grown to several gigabytes over the years. Even though only few thousand records get processed during each pass, a SELECT query against these tables was using Full Table Scans. Under stress, the performance issue was noticeable.

Now, I had to know what other queries were being executed that was using a full table scan. The query below helps with just that.

WITH src
     AS (  SELECT TRUNC (MAX (sn.begin_interval_time)) last_used,
                  ROUND (ds.bytes / 1048576, 0) size_in_mb,
             FROM dba_hist_sql_plan hsp,
                  dba_hist_sqlstat hs,
                  dba_hist_snapshot sn,
                  dba_segments ds
            WHERE     hsp.object_owner <> 'SYS' --Exclude System Objects
                  AND hsp.object_owner = ds.owner
                  AND hsp.object_name = ds.segment_name
                  AND ds.bytes > 20971520 --Find Objects Greater than 20 MB
                  AND hsp.operation LIKE '%TABLE ACCESS%'
                  AND hsp.options LIKE '%FULL%'
                  AND hsp.sql_id = hs.sql_id
                  AND hs.snap_id = sn.snap_id
         GROUP BY owner,
         ORDER BY object_name)
  SELECT src.*, a.sql_text
    FROM src LEFT OUTER JOIN v$sqlarea a ON a.sql_id = src.sql_id
   WHERE last_used > SYSDATE - 7
ORDER BY object_name, last_used

The size of the object is denoted in column size_in_mb, to help identify high value items.

If the sql_text columns gets Truncated, go to the below view instead and use the SQL_ID. Some parsing may be required or use LISTAGG to concatenate the rows to return a single column.

select sql_text from   v$sqltext
 where sql_id = 'b2t8xugd549k5'
 order by piece

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