Run parse % is low

Hi, I was doing the research on this stat in AWR.  It is said that many times he analyzes is around the same as the number of times it runs.

My question is, how do we identify what SQLs cause this low ratio?  I had around 5%.  (100% is ideal)

In time past dessu. There is only 1 problem sql showing upwards.

Time elapsed (s) Executions Time by Exec (s) % Total % CPU %IO SQL ID SQL module SQL text
3,486.3354 8670.0686.7629,8668,87xxxxxxx1JDBC Thin ClientSelect / * + FIRST_ROWS * / CI...

Since that has 50 k runs, I don't think not that this is the SQL causing bass run to analyze the report.

Thank you

SQL > select count (*) from v$ sql where executions = 1;

COUNT (*)

----------

281

SQL > select count (*) from v$ sql;

COUNT (*)

----------

1386

Tags: Database

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    -------------------------------------------------------------

    Context of the DB/Inst events waiting: XXXXXs clings: 5635-5636

    -> Only events with wait times Total (s) > =.001 are indicated

    --> sorted by Total desc waiting time, waits desc (idle last events)

    AVG % Total

    % Tim Total wait Wait Wait call

    Event is waiting for the time (s) (ms) /txn times

    ---------------------------- ------------ ---- ---------- ------ -------- ------

    log file parallel write 299 537 0 164 1 1.6 9.7

    log file sequential read 698 0 16 24 0.0 1.0

    db file parallel write 9 556 0 13 1 0,1.8

    146 0 10 70 0,0.6 startup operating system thread

    control file parallel write 2 037 0 2 1 0,0.1

    Newspaper archive e/s 35 0 1 30 0,0.1

    LGWR wait for redo copy 2 447 0 0 0.0 0.0

    async file IO DB present 9 556 0 0 0.1 0.0

    DB file sequential read 145 0 0 2 0,0.0

    File I/O disk 349 0 operations 0 0.0 0.0

    db file scattered read 30 0 0 4 0,0.0

    sequential control file read 5 837 0 0 0.0 0.0

    ADR block lu file 19 0 0 4 0,0.0

    Block ADR file write 5 0 0 15 0,0.0

    direct path write 14 0 0 2 0,0.0

    direct path read 3 0 0 7 0,0.0

    latch: shared pool 3 0 0 6 0,0.0

    single log file write 56 0 0 0.0 0.0

    latch: redo allocation 53 0 0 0 0.0.0

    latch: 1 0 0 3 0,0.0 active service list

    free latch 11 0 0 0 0.0.0

    CPI of RDBMS 5 314 523 57 189 182 1.7 message

    Space Manager: slave wa slowed 4 086 88 18 996 4649 0.0

    DIAG idle wait 7 185 100 1000 7 186 0.0

    Streams AQ: waiting time 2 50 4 909 # 0,0

    Streams AQ: qmn slowed slave 129 0 3 612 28002 0.0 w

    Streams AQ: Coordinator of the 258 50 3 612 14001 0,0 qmn

    SMON timer 2 43 3 605 83839 0.0

    PMON timer 99 1 199 2999 3 596 0.0

    SQL * Net client message 17 019 0 31 2 0.1

    SQL * Net message to client 12 762 0 0 0.1 0

    class slaves wait 28 0 0 0 0.0

    Thank you very much!

    Hello

    I think that your CPU is overloaded by your stress tests. You have one VCPU with 2 wires (2 LCPU), right? And the load average is greater than one. You have time DB which is not counted in (CPU time + wait events) and which comes no doubt from time spent in the runqueue.

    > Oracle recovery logs is not properly configured on this server, as in "Top 5 events of waiting", there are 2 for oder

    It is an error in statspack for show "log file parallel write here." This moment is historical and is included in 'log file sync '. And I don't think you have to redo misconfiguration. Waiting for 1ms to commit is ok. In OLTP you should have more than one validation in a user interaction so that the user don't worry not about 1 m in batch mode, unless you commit to each row, 1 DC to commit should not increase the total execution time.

    The fact that you have a lot of line lock (enq: TX - line lock conflict) but very little time (on average 97 ms) is probably a sign that testers are running simultaneously a charge affecting the same data. Their set of test data is perhaps too simple and short. An example: when stress tests of an order entry system if you run 1000 concurrent sessions, ordering the same product to the same customer, you can get this kind of symptoms, but the test we unrealistic.

    It's a high activity of 2000 calls per second, 52 transactions per second, user. But you also have low average active sessions, so the report probably covers a period of non-uniform activity, which makes the averages without meaning.

    So note to tell about the events of waiting here. But we don't have any info about 39% of DB time devoted to the CPU which is where something can be improved.

    Kind regards

    Franck.

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