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Analyze performance of tracked queries before and after
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SQL> WITH queries_to_measure AS ( | |
SELECT DISTINCT | |
sql_id | |
FROM | |
gv$sql | |
WHERE | |
parsing_schema_name = :app_user | |
AND upper(sql_fulltext) LIKE '%SDO\_%' ESCAPE '\' | |
), before_performance AS ( | |
SELECT | |
a.sql_id, | |
SUM(buffer_gets_total) / SUM(executions_total) AS gets_per_exec_before, | |
SUM(rows_processed_total) / SUM(executions_total) AS rows_per_exec_before, | |
SUM(elapsed_time_total) / SUM(executions_total) / 1000000 AS time_per_exec_before, | |
SUM(executions_total) AS execs_total_before | |
FROM | |
dba_hist_sqlstat a, | |
queries_to_measure | |
WHERE | |
a.sql_id = queries_to_measure.sql_id | |
AND executions_total > 0 | |
AND snap_id < ( | |
SELECT | |
MAX(snap_id) | |
FROM | |
dba_hist_snapshot | |
WHERE | |
begin_interval_time < to_date(:p_change_time, 'DD/MM/YYYY HH24:MI:SS') | |
) | |
GROUP BY | |
a.sql_id | |
ORDER BY | |
a.sql_id | |
), after_performance AS ( | |
SELECT | |
b.sql_id, | |
SUM(buffer_gets_total) / SUM(executions_total) AS gets_per_after, | |
SUM(rows_processed_total) / SUM(executions_total) AS rows_per_after, | |
SUM(elapsed_time_total) / SUM(executions_total) / 1000000 AS time_per_after, | |
SUM(executions_total) AS execs_total_after | |
FROM | |
dba_hist_sqlstat b, | |
queries_to_measure | |
WHERE | |
b.sql_id = queries_to_measure.sql_id | |
AND executions_total > 0 | |
AND snap_id > ( | |
SELECT | |
MAX(snap_id) | |
FROM | |
dba_hist_snapshot | |
WHERE | |
begin_interval_time < to_date(:p_change_time, 'DD/MM/YYYY HH24:MI:SS') | |
) | |
GROUP BY | |
b.sql_id | |
ORDER BY | |
b.sql_id | |
) | |
SELECT | |
before_performance.*, | |
after_performance.* | |
FROM | |
before_performance, | |
after_performance | |
WHERE | |
before_performance.sql_id = after_performance.sql_id (+); |
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