Compare Period ADDM Report - SQL Commonality

All,
Does OEM 12c have any built-in method to choose two ADDM Periods with the highest "SQL Commonality" ? I haven't seen it in the GUI but I might be overlooking it.
Instead, I'm randomly selecting business hours/days and comparing workloads to determine if the changes the vendor made the application are really an improvement or not. Unfortunately, the SQL Commonality is, often times, < 50% and I don't believe those are the best comparisons to make. I'm looking for something > 50%.
No, the SQL hasn't changed significantly to always cause the SQL Commonality rate to be lower.
I'm hoping someone has a method to determine these versus me clicking and guessing. Even if it was PL/SQL to generate these reports and tell me which had the highest that would be a great help.
Thank you in advance!
Regards,
Rich

oracleRaj wrote:
Thanks I have checked it, I wanted to know How Can I Run SQL Tuning Advisor on the SQL statement with SQL_ID " XYZ " in EM ?The links provided to you will tell you how to do it, and the EM wizard is fairly self explanatory. I'm going to ask why you want to. You ran a report for 1/2 an hour on a system presumably with at least 2 CPUs (though you don't say) so that means you have most likely over an hours worth of CPU available to you. Your total database time is 6 minutes. That doesn't sound like a struggling database to me, does it to you? If you manage to save 66% of the time then you'll have saved 4 minutes. Is that a worthwhile goal.
However let's take a look at the most costly statement - the update - that consumes 112s or nearly 2 of your 6 minutes. However each execution only takes a twentieth of a second. Do your users notice that and want the update time to be (say) a fiftieth of a second instead? Where you might have an opportunity is in the fact that this statement is really quick, but is executed 2256 times in that half hour - that is 75 times a second. It's more than likely that this is a loop and that a more efficient way of doing this would be not to execute in the loop but execute a set based update. Unfortunately the SQL Tuning advisor isn't capable of making this sort of recommendation.
In total then it looks like you've only actually got 4 minutes of your half hour that the SQL Tuning Advisor is likely to be able to improve. The count(*) might be improvable - if say you haven't got an index on the send_unsend column and that column is selective - but you still have to ask is the potential improvement worth it.
Niall Litchfield
http:/www.orawin.info

Similar Messages

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    Hello -
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    ^^^^^^^^^^^^^^^^^^^^^
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    ^^^^^^^^^^^^^^^^^^^^^^
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    ^^^^^^^^^^^^^^^^^^^^^^^^
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    Thank you, Phil.
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  • High SQL version count and low executions from ADDM Report!!

    Hi, all.
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    What does "45 version count" mean??
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    How can I reduce this number??
    I am hitting "library cache lock" wait event from time to time.
    Thanks and Regards.
    Message was edited by:
    user507290
    Message was edited by:
    user507290
    Message was edited by:
    user507290

    You could get a high version count if the bind variables are character type and allow large variations in length, see:
    http://jonathanlewis.wordpress.com/2007/01/05/bind-variables/
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    Jonathan Lewis
    http://jonathanlewis.wordpress.com
    http://www.jlcomp.demon.co.uk

  • Details about ADDM report

    Hi,
    I have a small 'orcl' database on my local machine, and I did not perform heavy activity on it. Today and yesterday I performed just some simple queries, like:
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    FROM   products p, (SELECT prod_id, AVG(unit_cost) ac FROM costs GROUP BY prod_id) c
    WHERE  p.prod_id = c.prod_id AND
           p.prod_list_price < 1.15 * c.ac;
    or
    select * from products;
    from the 'sh' schema. Today I run a ADDM report, and this is the result:
    ADDM Report for Task 'TASK_557'
    Analysis Period
    AWR snapshot range from 490 to 494.
    Time period starts at 17-JUL-13 11.00.34 PM
    Time period ends at 18-JUL-13 05.31.00 PM
    Analysis Target
    Database 'ORCL' with DB ID 1346555844.
    Database version 11.2.0.3.0.
    ADDM performed an analysis of instance orcl, numbered 1 and hosted at ROGER.
    Activity During the Analysis Period
    Total database time was 499 seconds.
    The average number of active sessions was .01.
    Summary of Findings
       Description                   
    Active Sessions
    Recommendations
    Percent of Activity
    1  I/O Throughput                
    .01 | 100      
    2
    2  Hard Parse                    
    0 | 29.47      
    0
    3  Hard Parse Due to Sharing Criteria  0 | 8.89       
    1
    4  Row Lock Waits                
    0 | 7.37       
    0
    5  PL/SQL Compilation            
    0 | 4.04       
    1
    6  Unusual "User I/O" Wait Event 
    0 | 4.02       
    1
    7  Commits and Rollbacks         
    0 | 3.08       
    1
    8  Shared Pool Latches           
    0 | 2.78       
    0
    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    Findings and Recommendations
    Finding 1: I/O Throughput
    Impact is .01 active sessions, 100% of total activity.
    The throughput of the I/O subsystem was significantly lower than expected.
       Recommendation 1: Host Configuration
       Estimated benefit is .01 active sessions, 100% of total activity.
       Action
    Consider increasing the throughput of the I/O subsystem. Oracle's
    recommended solution is to stripe all data files using the SAME
    methodology. You might also need to increase the number of disks for
    better performance.
       Rationale
    During the analysis period, the average data files' I/O throughput was
    1.4 K per second for reads and 1 K per second for writes. The average
    response time for single block reads was 18 milliseconds.
       Recommendation 2: Host Configuration
       Estimated benefit is 0 active sessions, 17.55% of total activity.
       Action
    The performance of some data and temp files was significantly worse than
    others. If striping all files using the SAME methodology is not
    possible, consider striping these file over multiple disks.
       Rationale
    For file D:\ORACLE\APP\ORADATA\ORCL\SYSTEM01.DBF, the average response
    time for single block reads was 168 milliseconds, and the total excess
    I/O wait was 70 seconds.
    Related Object
    Database file
    "D:\ORACLE\APP\ORADATA\ORCL\SYSTEM01.DBF"
       Rationale
    For file D:\ORACLE\APP\ORADATA\ORCL\SYSAUX01.DBF, the average response
    time for single block reads was 16 milliseconds, and the total excess
    I/O wait was 16 seconds.
    Related Object
    Database file
    "D:\ORACLE\APP\ORADATA\ORCL\SYSAUX01.DBF"
       Symptoms That Led to the Finding:
    Wait class "User I/O" was consuming significant database time.
    Impact is 0 active sessions, 30.87% of total activity.
    Finding 2: Hard Parse
    Impact is 0 active sessions, 29.47% of total activity.
    Hard parsing of SQL statements was consuming significant database time.
    Hard parsing SQL statements that encountered parse errors was not consuming
    significant database time.
    Hard parses due to literal usage and cursor invalidation were not consuming
    significant database time.
    The Oracle instance memory (SGA and PGA) was adequately sized.
       No recommendations are available.
    Finding 3: Hard Parse Due to Sharing Criteria
    Impact is 0 active sessions, 8.89% of total activity.
    SQL statements with the same text were not shared because of cursor
    environment mismatch. This resulted in additional hard parses which were
    consuming significant database time.
    Common causes of environment mismatch are session NLS settings, SQL trace
    settings and optimizer parameters.
       Recommendation 1: Application Analysis
       Estimated benefit is 0 active sessions, 8.89% of total activity.
       Action
    Look for top reason for cursor environment mismatch in
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       Symptoms That Led to the Finding:
    Hard parsing of SQL statements was consuming significant database time.
    Impact is 0 active sessions, 29.47% of total activity.
    Finding 4: Row Lock Waits
    Impact is 0 active sessions, 7.37% of total activity.
    SQL statements were found waiting for row lock waits.
       No recommendations are available.
       Symptoms That Led to the Finding:
    Wait class "Application" was consuming significant database time.
    Impact is 0 active sessions, 7.78% of total activity.
    Finding 5: PL/SQL Compilation
    Impact is 0 active sessions, 4.04% of total activity.
    PL/SQL compilation consumed significant database time.
       Recommendation 1: Application Analysis
       Estimated benefit is 0 active sessions, 4.04% of total activity.
       Action
    Investigate the appropriateness of PL/SQL compilation. PL/SQL
    compilation can be caused by DDL on dependent objects.
    Finding 6: Unusual "User I/O" Wait Event
    Impact is 0 active sessions, 4.02% of total activity.
    Wait event "Disk file operations I/O" in wait class "User I/O" was consuming
    significant database time.
       Recommendation 1: Application Analysis
       Estimated benefit is 0 active sessions, 4.02% of total activity.
       Action
    Investigate the cause for high "Disk file operations I/O" waits. Refer
    to Oracle's "Database Reference" for the description of this wait event.
       Symptoms That Led to the Finding:
    Wait class "User I/O" was consuming significant database time.
    Impact is 0 active sessions, 30.87% of total activity.
    Finding 7: Commits and Rollbacks
    Impact is 0 active sessions, 3.08% of total activity.
    Waits on event "log file sync" while performing COMMIT and ROLLBACK operations
    were consuming significant database time.
       Recommendation 1: Host Configuration
       Estimated benefit is 0 active sessions, 3.08% of total activity.
       Action
    Investigate the possibility of improving the performance of I/O to the
    online redo log files.
       Rationale
    The average size of writes to the online redo log files was 21 K and the
    average time per write was 7 milliseconds.
       Rationale
    The total I/O throughput on redo log files was 0 K per second for reads
    and 0.7 K per second for writes.
       Rationale
    The redo log I/O throughput was divided as follows: 0% by RMAN and
    recovery, 100% by Log Writer, 0% by Archiver, 0% by Streams AQ and 0% by
    all other activity.
       Symptoms That Led to the Finding:
    Wait class "Commit" was consuming significant database time.
    Impact is 0 active sessions, 3.08% of total activity.
    Finding 8: Shared Pool Latches
    Impact is 0 active sessions, 2.78% of total activity.
    Contention for latches related to the shared pool was consuming significant
    database time.
    Waits for "library cache load lock" amounted to 1% of database time.
    Waits for "latch: shared pool" amounted to 1% of database time.
       No recommendations are available.
       Symptoms That Led to the Finding:
    Wait class "Concurrency" was consuming significant database time.
    Impact is 0 active sessions, 3.12% of total activity.
    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    Additional Information
    Miscellaneous Information
    Wait class "Configuration" was not consuming significant database time.
    CPU was not a bottleneck for the instance.
    Wait class "Network" was not consuming significant database time.
    Session connect and disconnect calls were not consuming significant database
    time.
    The database's maintenance windows were active during 94% of the analysis
    period.
    Being a small local database, my question is: do I really need to do something? For example at Finding 5: PL/SQL Compilation, what I really need to do? Or ar Finding 1: I/O Throughput
    Thanks.

    Hi,
    Mainly in ADDM you can consider
    Recommendation
    Estimated benefit
    You have generated the report for ~18 hr time interval.
    for test/local  you can ignore this.

  • Performance issue in DB need help with analysing this ADDM report

    Hi,
    My environment:
    Os: RHEL5U3 / 11.1.0.7 64 bit / R12.1.1 64 bit
    Issue:
    Few days are am facing serious of performance problem in our Production instance. Normally the issue will occur 5 to 10 minutes occasionally per day. At the time of issue we not able to access the EBS application its taking time to load. But backend all the oracle, listener and apps services are up and running. No locks at table and session level. Cpu and memory usage is normal.
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    We try to find the cause of the issue by running addm report. But am not able to understand what its says. Kindly suggests me
    ADDM Report for Task 'TASK_42656'
    Analysis Period
    AWR snapshot range from 14754 to 14755.
    Time period starts at 17-APR-12 11.00.22 AM
    Time period ends at 17-APR-12 12.00.33 PM
    Analysis Target
    Database 'PRD' with DB ID 1789440879.
    Database version 11.1.0.7.0.
    ADDM performed an analysis of instance PRD, numbered 1 and hosted at
    advgrpdb.advgroup.ae.
    Activity During the Analysis Period
    Total database time was 18674 seconds.
    The average number of active sessions was 5.17.
    Summary of Findings
    Description Active Sessions Recommendations
    Percent of Activity
    1 Top SQL by DB Time 3.43 | 66.33 5
    2 Buffer Busy 2.52 | 48.81 5
    3 Buffer Busy 1.39 | 26.81 2
    4 Log File Switches .91 | 17.56 1
    5 Buffer Busy .56 | 10.87 2
    6 Undersized SGA .38 | 7.37 1
    7 Commits and Rollbacks .28 | 5.42 1
    8 Undo I/O .18 | 3.53 0
    9 CPU Usage .13 | 2.57 1
    10 Top SQL By I/O .11 | 2.21 1
    Findings and Recommendations
    Finding 1: Top SQL by DB Time
    Impact is 3.43 active sessions, 66.33% of total activity.
    SQL statements consuming significant database time were found.
    Recommendation 1: SQL Tuning
    Estimated benefit is 1.59 active sessions, 30.8% of total activity.
    Action
    Investigate the SQL statement with SQL_ID "a49xsqhv0h31b" for possible
    performance improvements.
    Related Object
    SQL statement with SQL_ID a49xsqhv0h31b.
    SELECT R.Conc_Login_Id, R.Request_Id, R.Phase_Code, R.Status_Code,
    P.Application_ID, P.Concurrent_Program_ID, P.Concurrent_Program_Name,
    R.Enable_Trace, R.Restart, DECODE(R.Increment_Dates, 'Y', 'Y', 'N'),
    R.NLS_Compliant, R.OUTPUT_FILE_TYPE, E.Executable_Name,
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    P.Execution_Method_Code), P.Print_Flag, P.Execution_Options,
    DECODE(P.Srs_Flag, 'Y', 'Y', 'Q', 'Y', 'N'), P.Argument_Method_Code,
    R.Print_Style, R.Argument_Input_Method_Code, R.Queue_Method_Code,
    R.Responsibility_ID, R.Responsibility_Application_ID, R.Requested_By,
    R.Number_Of_Copies, R.Save_Output_Flag, R.Printer, R.Print_Group,
    R.Priority, U.User_Name, O.Oracle_Username,
    O.Encrypted_Oracle_Password, R.Cd_Id, A.Basepath,
    A.Application_Short_Name, TO_CHAR(R.Requested_Start_Date,'YYYY/MM/DD
    HH24:MI:SS'), R.Nls_Language, R.Nls_Territory,
    R.Nls_Numeric_Characters, DECODE(R.Parent_Request_ID, NULL, 0,
    R.Parent_Request_ID), R.Priority_Request_ID, R.Single_Thread_Flag,
    R.Has_Sub_Request, R.Is_Sub_Request, R.Req_Information,
    R.Description, R.Resubmit_Time, TO_CHAR(R.Resubmit_Interval),
    R.Resubmit_Interval_Type_Code, R.Resubmit_Interval_Unit_Code,
    TO_CHAR(R.Resubmit_End_Date,'YYYY/MM/DD HH24:MI:SS'),
    Decode(E.Execution_File_Name, NULL, 'N', Decode(E.Subroutine_Name,
    NULL, Decode(E.Execution_Method_Code, 'I', 'Y', 'J', 'Y', 'N'),
    'Y')), R.Argument1, R.Argument2, R.Argument3, R.Argument4,
    R.Argument5, R.Argument6, R.Argument7, R.Argument8, R.Argument9,
    R.Argument10, R.Argument11, R.Argument12, R.Argument13, R.Argument14,
    R.Argument15, R.Argument16, R.Argument17, R.Argument18, R.Argument19,
    R.Argument20, R.Argument21, R.Argument22, R.Argument23, R.Argument24,
    R.Argument25, X.Argument26, X.Argument27, X.Argument28, X.Argument29,
    X.Argument30, X.Argument31, X.Argument32, X.Argument33, X.Argument34,
    X.Argument35, X.Argument36, X.Argument37, X.Argument38, X.Argument39,
    X.Argument40, X.Argument41, X.Argument42, X.Argument43, X.Argument44,
    X.Argument45, X.Argument46, X.Argument47, X.Argument48, X.Argument49,
    X.Argument50, X.Argument51, X.Argument52, X.Argument53, X.Argument54,
    X.Argument55, X.Argument56, X.Argument57, X.Argument58, X.Argument59,
    X.Argument60, X.Argument61, X.Argument62, X.Argument63, X.Argument64,
    X.Argument65, X.Argument66, X.Argument67, X.Argument68, X.Argument69,
    X.Argument70, X.Argument71, X.Argument72, X.Argument73, X.Argument74,
    X.Argument75, X.Argument76, X.Argument77, X.Argument78, X.Argument79,
    X.Argument80, X.Argument81, X.Argument82, X.Argument83, X.Argument84,
    X.Argument85, X.Argument86, X.Argument87, X.Argument88, X.Argument89,
    X.Argument90, X.Argument91, X.Argument92, X.Argument93, X.Argument94,
    X.Argument95, X.Argument96, X.Argument97, X.Argument98, X.Argument99,
    X.Argument100, R.number_of_arguments, C.CD_Name,
    NVL(R.Security_Group_ID, 0), NVL(R.org_id, 0) FROM
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    A, fnd_user U, fnd_oracle_userid O, fnd_conflicts_domain C,
    fnd_concurrent_queues Q, fnd_application A2, fnd_executables E,
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    ((R.OPS_INSTANCE is null) or (R.OPS_INSTANCE = -1) or
    (R.OPS_INSTANCE =
    decode(:dcp_on,1,FND_CONC_GLOBAL.OPS_INST_NUM,R.OPS_INSTANCE))) And
    R.Request_ID = X.Request_ID(+) And R.Program_Application_Id =
    P.Application_Id(+) And R.Concurrent_Program_Id =
    P.Concurrent_Program_Id(+) And R.Program_Application_Id =
    A.Application_Id(+) And P.Executable_Application_Id =
    E.Application_Id(+) And P.Executable_Id =
    E.Executable_Id(+) And P.Executable_Application_Id =
    A2.Application_Id(+) And R.Requested_By = U.User_Id(+) And R.Cd_Id
    = C.Cd_Id(+) And R.Oracle_Id = O.Oracle_Id(+) And Q.Application_Id =
    :q_applid And Q.Concurrent_Queue_Id = :queue_id And (P.Enabled_Flag
    is NULL OR P.Enabled_Flag = 'Y') And R.Hold_Flag = 'N' And
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    Where Sr.Status_Code In ('R', 'T') And Sr.Enforce_Seriality_Flag =
    'Y' And Sr.CD_id = C.CD_Id)))) And Q.Running_Processes <=
    Q.Max_Processes And R.Rowid = :reqname And
    ((P.Execution_Method_Code != 'S' OR
    (R.PROGRAM_APPLICATION_ID,R.CONCURRENT_PROGRAM_ID) IN
    ((0,98),(0,100),(0,31721),(0,31722),(0,31757))) AND
    ((R.PROGRAM_APPLICATION_ID,R.CONCURRENT_PROGRAM_ID) NOT IN
    ((510,40112),(510,40113),(510,41497),(510,41498),(530,41859),(530,418
    60),(535,41492),(535,41493),(535,41494)))) FOR UPDATE OF
    R.status_code NoWait
    Rationale
    SQL statement with SQL_ID "a49xsqhv0h31b" was executed 4686 times and
    had an average elapsed time of 1.2 seconds.
    Rationale
    Waiting for event "buffer busy waits" in wait class "Concurrency"
    accounted for 85% of the database time spent in processing the SQL
    statement with SQL_ID "a49xsqhv0h31b".
    Rationale
    Waiting for event "log file switch (checkpoint incomplete)" in wait
    class "Configuration" accounted for 9% of the database time spent in
    processing the SQL statement with SQL_ID "a49xsqhv0h31b".
    Recommendation 3: SQL Tuning
    Estimated benefit is .56 active sessions, 10.91% of total activity.
    Action
    Investigate the SQL statement with SQL_ID "5d7957yktf3nn" for possible
    performance improvements.
    Related Object
    SQL statement with SQL_ID 5d7957yktf3nn.
    UPDATE ICX_SESSIONS SET TIME_OUT = :B2 WHERE SESSION_ID = :B1
    Rationale
    SQL statement with SQL_ID "5d7957yktf3nn" was executed 266 times and had
    an average elapsed time of 7.6 seconds.
    Rationale
    Waiting for event "buffer busy waits" in wait class "Concurrency"
    accounted for 86% of the database time spent in processing the SQL
    statement with SQL_ID "5d7957yktf3nn".
    Rationale
    Waiting for event "log file switch (checkpoint incomplete)" in wait
    class "Configuration" accounted for 7% of the database time spent in
    processing the SQL statement with SQL_ID "5d7957yktf3nn".
    Finding 2: Buffer Busy
    Impact is 2.52 active sessions, 48.81% of total activity.
    Read and write contention on database blocks was consuming significant
    database time.
    Recommendation 1: Application Analysis
    Estimated benefit is 1.42 active sessions, 27.44% of total activity.
    Action
    Trace the cause of object contention due to SELECT statements in the
    application using the information provided.
    Related Object
    Database object with ID 34562.
    Rationale
    The SELECT statement with SQL_ID "a49xsqhv0h31b" was significantly
    affected by "buffer busy" waits.
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    SQL statement with SQL_ID a49xsqhv0h31b.
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    R.Responsibility_ID, R.Responsibility_Application_ID, R.Requested_By,
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    O.Encrypted_Oracle_Password, R.Cd_Id, A.Basepath,
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    HH24:MI:SS'), R.Nls_Language, R.Nls_Territory,
    R.Nls_Numeric_Characters, DECODE(R.Parent_Request_ID, NULL, 0,
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    R.Has_Sub_Request, R.Is_Sub_Request, R.Req_Information,
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    Decode(E.Execution_File_Name, NULL, 'N', Decode(E.Subroutine_Name,
    NULL, Decode(E.Execution_Method_Code, 'I', 'Y', 'J', 'Y', 'N'),
    'Y')), R.Argument1, R.Argument2, R.Argument3, R.Argument4,
    R.Argument5, R.Argument6, R.Argument7, R.Argument8, R.Argument9,
    R.Argument10, R.Argument11, R.Argument12, R.Argument13, R.Argument14,
    R.Argument15, R.Argument16, R.Argument17, R.Argument18, R.Argument19,
    R.Argument20, R.Argument21, R.Argument22, R.Argument23, R.Argument24,
    R.Argument25, X.Argument26, X.Argument27, X.Argument28, X.Argument29,
    X.Argument30, X.Argument31, X.Argument32, X.Argument33, X.Argument34,
    X.Argument35, X.Argument36, X.Argument37, X.Argument38, X.Argument39,
    X.Argument40, X.Argument41, X.Argument42, X.Argument43, X.Argument44,
    X.Argument45, X.Argument46, X.Argument47, X.Argument48, X.Argument49,
    X.Argument50, X.Argument51, X.Argument52, X.Argument53, X.Argument54,
    X.Argument55, X.Argument56, X.Argument57, X.Argument58, X.Argument59,
    X.Argument60, X.Argument61, X.Argument62, X.Argument63, X.Argument64,
    X.Argument65, X.Argument66, X.Argument67, X.Argument68, X.Argument69,
    X.Argument70, X.Argument71, X.Argument72, X.Argument73, X.Argument74,
    X.Argument75, X.Argument76, X.Argument77, X.Argument78, X.Argument79,
    X.Argument80, X.Argument81, X.Argument82, X.Argument83, X.Argument84,
    X.Argument85, X.Argument86, X.Argument87, X.Argument88, X.Argument89,
    X.Argument90, X.Argument91, X.Argument92, X.Argument93, X.Argument94,
    X.Argument95, X.Argument96, X.Argument97, X.Argument98, X.Argument99,
    X.Argument100, R.number_of_arguments, C.CD_Name,
    NVL(R.Security_Group_ID, 0), NVL(R.org_id, 0) FROM
    fnd_concurrent_requests R, fnd_concurrent_programs P, fnd_application
    A, fnd_user U, fnd_oracle_userid O, fnd_conflicts_domain C,
    fnd_concurrent_queues Q, fnd_application A2, fnd_executables E,
    fnd_conc_request_arguments X WHERE R.Status_code = 'I' And
    ((R.OPS_INSTANCE is null) or (R.OPS_INSTANCE = -1) or
    (R.OPS_INSTANCE =
    decode(:dcp_on,1,FND_CONC_GLOBAL.OPS_INST_NUM,R.OPS_INSTANCE))) And
    R.Request_ID = X.Request_ID(+) And R.Program_Application_Id =
    P.Application_Id(+) And R.Concurrent_Program_Id =
    P.Concurrent_Program_Id(+) And R.Program_Application_Id =
    A.Application_Id(+) And P.Executable_Application_Id =
    E.Application_Id(+) And P.Executable_Id =
    E.Executable_Id(+) And P.Executable_Application_Id =
    A2.Application_Id(+) And R.Requested_By = U.User_Id(+) And R.Cd_Id
    = C.Cd_Id(+) And R.Oracle_Id = O.Oracle_Id(+) And Q.Application_Id =
    :q_applid And Q.Concurrent_Queue_Id = :queue_id And (P.Enabled_Flag
    is NULL OR P.Enabled_Flag = 'Y') And R.Hold_Flag = 'N' And
    R.Requested_Start_Date <= Sysdate And ( R.Enforce_Seriality_Flag =
    'N' OR ( C.RunAlone_Flag = P.Run_Alone_Flag And (P.Run_Alone_Flag =
    'N' OR Not Exists (Select Null From Fnd_Concurrent_Requests Sr
    Where Sr.Status_Code In ('R', 'T') And Sr.Enforce_Seriality_Flag =
    'Y' And Sr.CD_id = C.CD_Id)))) And Q.Running_Processes <=
    Q.Max_Processes And R.Rowid = :reqname And
    ((P.Execution_Method_Code != 'S' OR
    (R.PROGRAM_APPLICATION_ID,R.CONCURRENT_PROGRAM_ID) IN
    ((0,98),(0,100),(0,31721),(0,31722),(0,31757))) AND
    ((R.PROGRAM_APPLICATION_ID,R.CONCURRENT_PROGRAM_ID) NOT IN
    ((510,40112),(510,40113),(510,41497),(510,41498),(530,41859),(530,418
    60),(535,41492),(535,41493),(535,41494)))) FOR UPDATE OF
    R.status_code NoWait
    UPDATE ICX_SESSIONS SET LAST_CONNECT = SYSDATE WHERE SESSION_ID = :B1
    Recommendation 1: Schema Changes
    Estimated benefit is .03 active sessions, .62% of total activity.
    Action
    Consider rebuilding the TABLE "APPLSYS.FND_LOGIN_RESP_FORMS" with object
    ID 34651 using a higher value for PCTFREE.
    Related Object
    Database object with ID 34651.
    Rationale
    The UPDATE statement with SQL_ID "cqc5crhxxt36t" was significantly
    affected by "buffer busy" waits.
    Related Object
    SQL statement with SQL_ID cqc5crhxxt36t.
    UPDATE FND_LOGIN_RESP_FORMS FLRF SET END_TIME = SYSDATE WHERE
    FLRF.LOGIN_ID = :B2 AND FLRF.LOGIN_RESP_ID = :B1 AND FLRF.END_TIME IS
    NULL AND (FLRF.FORM_ID, FLRF.FORM_APPL_ID) = (SELECT F.FORM_ID,
    F.APPLICATION_ID FROM FND_FORM F, FND_APPLICATION A WHERE F.FORM_NAME
    = :B4 AND F.APPLICATION_ID = A.APPLICATION_ID AND
    A.APPLICATION_SHORT_NAME = :B3 )
    Symptoms That Led to the Finding:
    Wait class "Concurrency" was consuming significant database time.
    Impact is 2.53 active sessions, 48.87% of total activity.
    Finding 4: Log File Switches
    Impact is .91 active sessions, 17.56% of total activity.
    Log file switch operations were consuming significant database time while
    waiting for checkpoint completion.
    This problem can be caused by use of hot backup mode on tablespaces. DML to
    tablespaces in hot backup mode causes generation of additional redo.
    Recommendation 1: Database Configuration
    Estimated benefit is .91 active sessions, 17.56% of total activity.
    Action
    Verify whether incremental shipping was used for standby databases.
    Symptoms That Led to the Finding:
    Wait class "Configuration" was consuming significant database time.
    Impact is .91 active sessions, 17.63% of total activity.
    Finding 5: Buffer Busy
    Impact is .56 active sessions, 10.87% of total activity.
    A hot data block with concurrent read and write activity was found. The block
    belongs to segment "ICX.ICX_SESSIONS" and is block 243489 in file 36.
    Recommendation 1: Application Analysis
    Estimated benefit is .56 active sessions, 10.87% of total activity.
    Action
    Investigate application logic to find the cause of high concurrent read
    and write activity to the data present in this block.
    Related Object
    Database block with object number 37562, file number 36 and block
    number 243489.
    Rationale
    The SQL statement with SQL_ID "5d7957yktf3nn" spent significant time on
    "buffer busy" waits for the hot block.
    Related Object
    SQL statement with SQL_ID 5d7957yktf3nn.
    UPDATE ICX_SESSIONS SET TIME_OUT = :B2 WHERE SESSION_ID = :B1
    Rationale
    The SQL statement with SQL_ID "326up1aym56dd" spent significant time on
    "buffer busy" waits for the hot block.
    Related Object
    SQL statement with SQL_ID 326up1aym56dd.
    UPDATE ICX_SESSIONS SET LAST_CONNECT = SYSDATE WHERE SESSION_ID = :B1
    Recommendation 2: Schema Changes
    Estimated benefit is .56 active sessions, 10.87% of total activity.
    Action
    Consider rebuilding the TABLE "ICX.ICX_SESSIONS" with object ID 37562
    using a higher value for PCTFREE.
    Related Object
    Database object with ID 37562.
    Symptoms That Led to the Finding:
    Wait class "Concurrency" was consuming significant database time.
    Impact is 2.53 active sessions, 48.87% of total activity.
    Finding 6: Undersized SGA
    Impact is .38 active sessions, 7.37% of total activity.
    The SGA was inadequately sized, causing additional I/O or hard parses.
    The value of parameter "sga_target" was "4096 M" during the analysis period.
    Recommendation 1: Database Configuration
    Estimated benefit is .12 active sessions, 2.33% of total activity.
    Action
    Increase the size of the SGA by setting the parameter "sga_target" to
    4608 M.
    Symptoms That Led to the Finding:
    Wait class "User I/O" was consuming significant database time.
    Impact is .7 active sessions, 13.57% of total activity.
    Hard parsing of SQL statements was consuming significant database time.
    Impact is .13 active sessions, 2.51% of total activity.
    Contention for latches related to the shared pool was consuming
    significant database time.
    Impact is 0 active sessions, .03% of total activity.
    Wait class "Concurrency" was consuming significant database time.
    Impact is 2.53 active sessions, 48.87% of total activity.
    Finding 7: Commits and Rollbacks
    Impact is .28 active sessions, 5.42% of total activity.
    Waits on event "log file sync" while performing COMMIT and ROLLBACK operations
    were consuming significant database time.
    Recommendation 1: Host Configuration
    Estimated benefit is .28 active sessions, 5.42% of total activity.
    Action
    Investigate the possibility of improving the performance of I/O to the
    online redo log files.
    Rationale
    The average size of writes to the online redo log files was 163 K and
    the average time per write was 68 milliseconds.
    Symptoms That Led to the Finding:
    Wait class "Commit" was consuming significant database time.
    Impact is .28 active sessions, 5.42% of total activity.
    Finding 8: Undo I/O
    Impact is .18 active sessions, 3.53% of total activity.
    Undo I/O was a significant portion (26%) of the total database I/O.
    No recommendations are available.
    Symptoms That Led to the Finding:
    The throughput of the I/O subsystem was significantly lower than
    expected.
    Impact is .08 active sessions, 1.46% of total activity.
    Wait class "User I/O" was consuming significant database time.
    Impact is .7 active sessions, 13.57% of total activity.
    Finding 9: CPU Usage
    Impact is .13 active sessions, 2.57% of total activity.
    Time spent on the CPU by the instance was responsible for a substantial part
    of database time.
    Recommendation 1: SQL Tuning
    Estimated benefit is .13 active sessions, 2.57% of total activity.
    Finding 10: Top SQL By I/O
    Impact is .11 active sessions, 2.21% of total activity.
    Individual SQL statements responsible for significant user I/O wait were
    found.
    Recommendation 1: SQL Tuning
    Estimated benefit is .11 active sessions, 2.22% of total activity.
    Action
    Run SQL Tuning Advisor on the SQL statement with SQL_ID "b3pnc5yctv2z5".
    Related Object
    SQL statement with SQL_ID b3pnc5yctv2z5.
    INSERT INTO ZX_TRANSACTION_LINES_GT( APPLICATION_ID ,ENTITY_CODE
    ,EVENT_CLASS_CODE ,TRX_ID ,TRX_LEVEL_TYPE ,TRX_LINE_ID ,LINE_CLASS
    ,LINE_LEVEL_ACTION ,TRX_LINE_TYPE ,TRX_LINE_DATE
    ,LINE_AMT_INCLUDES_TAX_FLAG ,LINE_AMT ,TRX_LINE_QUANTITY ,UNIT_PRICE
    ,PRODUCT_ID ,PRODUCT_ORG_ID ,UOM_CODE ,PRODUCT_CODE ,SHIP_TO_PARTY_ID
    ,SHIP_FROM_PARTY_ID ,BILL_TO_PARTY_ID ,BILL_FROM_PARTY_ID
    ,SHIP_FROM_PARTY_SITE_ID ,BILL_FROM_PARTY_SITE_ID
    ,SHIP_TO_LOCATION_ID ,SHIP_FROM_LOCATION_ID ,BILL_TO_LOCATION_ID
    ,SHIP_THIRD_PTY_ACCT_ID ,SHIP_THIRD_PTY_ACCT_SITE_ID ,HISTORICAL_FLAG
    ,TRX_LINE_CURRENCY_CODE ,TRX_LINE_CURRENCY_CONV_DATE
    ,TRX_LINE_CURRENCY_CONV_RATE ,TRX_LINE_CURRENCY_CONV_TYPE
    ,TRX_LINE_MAU ,TRX_LINE_PRECISION ,HISTORICAL_TAX_CODE_ID
    ,TRX_BUSINESS_CATEGORY ,PRODUCT_CATEGORY ,PRODUCT_FISC_CLASSIFICATION
    ,LINE_INTENDED_USE ,PRODUCT_TYPE ,USER_DEFINED_FISC_CLASS
    ,ASSESSABLE_VALUE ,INPUT_TAX_CLASSIFICATION_CODE ,ACCOUNT_CCID
    ,BILL_THIRD_PTY_ACCT_ID ,BILL_THIRD_PTY_ACCT_SITE_ID ,TRX_LINE_NUMBER
    ,TRX_LINE_DESCRIPTION ,PRODUCT_DESCRIPTION ,USER_UPD_DET_FACTORS_FLAG
    ,DEFAULTING_ATTRIBUTE1 ) SELECT :B4 ,:B3 ,:B2
    ,PRL.REQUISITION_HEADER_ID ,:B1 ,PRL.REQUISITION_LINE_ID ,'INVOICE'
    ,NVL(PRL.TAX_ATTRIBUTE_UPDATE_CODE,'UPDATE') ,'ITEM'
    ,NVL(PRL.NEED_BY_DATE, SYSDATE) ,'N' ,NVL(PRL.AMOUNT,
    PRL.UNIT_PRICE*PRL.QUANTITY) ,PRL.QUANTITY ,PRL.UNIT_PRICE
    ,PRL.ITEM_ID ,(SELECT FSP.INVENTORY_ORGANIZATION_ID FROM
    FINANCIALS_SYSTEM_PARAMS_ALL FSP WHERE FSP.ORG_ID=PRL.ORG_ID)
    ,(SELECT MUM.UOM_CODE FROM MTL_UNITS_OF_MEASURE MUM WHERE
    MUM.UNIT_OF_MEASURE=PRL.UNIT_MEAS_LOOKUP_CODE) ,MSIB.SEGMENT1
    ,PRL.DESTINATION_ORGANIZATION_ID ,PV.PARTY_ID ,PRH.ORG_ID
    ,PV.PARTY_ID ,PVS.PARTY_SITE_ID ,PVS.PARTY_SITE_ID
    ,PRL.DELIVER_TO_LOCATION_ID ,(SELECT HZPS.LOCATION_ID FROM
    HZ_PARTY_SITES HZPS WHERE HZPS.PARTY_SITE_ID = PVS.PARTY_SITE_ID)
    ,(SELECT LOCATION_ID FROM HR_ALL_ORGANIZATION_UNITS WHERE
    ORGANIZATION_ID=PRH.ORG_ID) ,PRL.VENDOR_ID ,PRL.VENDOR_SITE_ID ,NULL
    ,NVL(PRL.CURRENCY_CODE, :B9 ) ,NVL2(PRL.CURRENCY_CODE, PRL.RATE_DATE,
    SYSDATE) ,NVL2(PRL.CURRENCY_CODE, PRL.RATE, :B8 )
    ,NVL2(PRL.CURRENCY_CODE, PRL.RATE_TYPE, :B7 )
    ,FC.MINIMUM_ACCOUNTABLE_UNIT ,NVL(FC.PRECISION, 2) ,NULL
    ,DECODE(PRL.TAX_ATTRIBUTE_UPDATE_CODE, 'CREATE',
    NVL2(PRL.PARENT_REQ_LINE_ID, ZXLDET.TRX_BUSINESS_CATEGORY, NULL),
    NULL ) ,DECODE(PRL.TAX_ATTRIBUTE_UPDATE_CODE, 'CREATE',
    NVL2(PRL.PARENT_REQ_LINE_ID, ZXLDET.PRODUCT_CATEGORY, NULL), NULL )
    ,DECODE(PRL.TAX_ATTRIBUTE_UPDATE_CODE, 'CREATE',
    NVL2(PRL.PARENT_REQ_LINE_ID, ZXLDET.PRODUCT_FISC_CLASSIFICATION,
    NULL), NULL ) ,DECODE(PRL.TAX_ATTRIBUTE_UPDATE_CODE, 'CREATE',
    NVL2(PRL.PARENT_REQ_LINE_ID, ZXLDET.LINE_INTENDED_USE, NULL), NULL )
    ,DECODE(PRL.TAX_ATTRIBUTE_UPDATE_CODE, 'CREATE',
    NVL2(PRL.PARENT_REQ_LINE_ID, ZXLDET.PRODUCT_TYPE, NULL), NULL )
    ,DECODE(PRL.TAX_ATTRIBUTE_UPDATE_CODE, 'CREATE',
    NVL2(PRL.PARENT_REQ_LINE_ID, ZXLDET.USER_DEFINED_FISC_CLASS, NULL),
    NULL ) ,DECODE(PRL.TAX_ATTRIBUTE_UPDATE_CODE, 'CREATE',
    NVL2(PRL.PARENT_REQ_LINE_ID, ZXLDET.ASSESSABLE_VALUE, NULL), NULL )
    ,DECODE(:B6 , 'REQIMPORT', PRL.TAX_NAME,
    DECODE(PRL.TAX_ATTRIBUTE_UPDATE_CODE, 'CREATE',
    NVL2(PRL.PARENT_REQ_LINE_ID, ZXLDET.INPUT_TAX_CLASSIFICATION_CODE,
    NULL), NULL ) ) ,NVL((SELECT PRD.CODE_COMBINATION_ID FROM
    PO_REQ_DISTRIBUTIONS_ALL PRD WHERE PRD.REQUISITION_LINE_ID =
    PRL.REQUISITION_LINE_ID AND ROWNUM = 1), MSIB.EXPENSE_ACCOUNT )
    ,PV.VENDOR_ID ,PVS.VENDOR_SITE_ID ,PRL.LINE_NUM ,PRL.ITEM_DESCRIPTION
    ,PRL.ITEM_DESCRIPTION ,(SELECT 'Y' FROM DUAL WHERE :B6 = 'REQIMPORT'
    AND PRL.TAX_NAME IS NOT NULL) ,PRL.DESTINATION_ORGANIZATION_ID FROM
    PO_REQUISITION_HEADERS_ALL PRH, PO_REQUISITION_LINES_ALL PRL,
    ZX_LINES_DET_FACTORS ZXLDET, PO_VENDORS PV, PO_VENDOR_SITES_ALL PVS,
    MTL_SYSTEM_ITEMS_B MSIB, FND_CURRENCIES FC WHERE
    PRH.REQUISITION_HEADER_ID = :B5 AND PRH.REQUISITION_HEADER_ID =
    PRL.REQUISITION_HEADER_ID AND ZXLDET.APPLICATION_ID(+) = :B4 AND
    ZXLDET.ENTITY_CODE(+) = :B3 AND ZXLDET.EVENT_CLASS_CODE(+) = :B2 AND
    ZXLDET.TRX_LEVEL_TYPE(+) = :B1 AND ZXLDET.TRX_LINE_ID(+) =
    PRL.PARENT_REQ_LINE_ID AND PV.VENDOR_ID(+) = PRL.VENDOR_ID AND
    PVS.VENDOR_SITE_ID(+) = PRL.VENDOR_SITE_ID AND
    MSIB.INVENTORY_ITEM_ID(+) = PRL.ITEM_ID AND MSIB.ORGANIZATION_ID(+) =
    PRL.ORG_ID AND FC.CURRENCY_CODE(+) = PRL.CURRENCY_CODE AND
    NVL(PRL.MODIFIED_BY_AGENT_FLAG, 'N') = 'N' AND NVL(PRL.CANCEL_FLAG,
    'N') = 'N' AND NVL(PRL.CLOSED_CODE, 'OPEN') <> 'FINALLY CLOSED' AND
    PRL.LINE_LOCATION_ID IS NULL AND PRL.AT_SOURCING_FLAG IS NULL
    Rationale
    SQL statement with SQL_ID "b3pnc5yctv2z5" was executed 3 times and had
    an average elapsed time of 138 seconds.
    Rationale
    Average time spent in User I/O wait events per execution was 137
    seconds.
    Symptoms That Led to the Finding:
    Wait class "User I/O" was consuming significant database time.
    Impact is .7 active sessions, 13.57% of total activity.
    Additional Information
    Miscellaneous Information
    Wait class "Application" was not consuming significant database time.
    Wait class "Network" was not consuming significant database time.
    Session connect and disconnect calls were not consuming significant database
    time.
    The database's maintenance windows were active during 100% of the analysis
    period.
    Regards
    Athish

    Few days are am facing serious of performance problem in our Production instanceFor production issues, please log a SR.
    Was this working before? If yes, any changes been done recently?
    Do you have the statistics collected up to date?
    Please see these docs.
    AutoInvoice Performance Issue When Processing Tax [ID 1059275.1]
    R12 : System Hangs When Attempting To Save Blanket Release After Applying Patch 11817843 [ID 1333336.1]
    Thanks,
    Hussein

  • ADDM Report....little help needed

    DETAILED ADDM REPORT FOR TASK 'ADDM:151072109_1_2686' WITH ID 9530
    Analysis Period: 16-MAY-2011 from 11:00:55 to 11:29:38
    Database ID/Instance: 151072109/1
    Database/Instance Names: IU10G/iu10g
    Host Name: LIVEDB
    Database Version: 10.2.0.1.0
    Snapshot Range: from 2685 to 2686
    Database Time: 364 seconds
    Average Database Load: .2 active sessions
    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    FINDING 1: 64% impact (234 seconds)
    Time spent on the CPU by the instance was responsible for a substantial part
    of database time.
    RECOMMENDATION 1: SQL Tuning, 31% benefit (112 seconds)
    ACTION: Run SQL Tuning Advisor on the SQL statement with SQL_ID
    "57xtcdjqy9pv4".
    RELEVANT OBJECT: SQL statement with SQL_ID 57xtcdjqy9pv4 and
    PLAN_HASH 3175156280
    UPDATE FEESUM SET AMTPAY=(SELECT SUM(CRE_BAL) FROM STUJOURNAL
    WHERE REF_NO = :b1 AND STDJID LIKE 'SPY%' ) WHERE VHNO = :b1
    RATIONALE: SQL statement with SQL_ID "57xtcdjqy9pv4" was executed 2256
    times and had an average elapsed time of 0.051 seconds.
    RATIONALE: Average CPU used per execution was 0.049 seconds.
    RECOMMENDATION 2: Application Analysis, 28% benefit (101 seconds)
    ACTION: Parsing SQL statements were consuming significant CPU. Please
    refer to other findings in this task about parsing for further
    details.
    RECOMMENDATION 3: SQL Tuning, 13% benefit (48 seconds)
    ACTION: Run SQL Tuning Advisor on the SQL statement with SQL_ID
    "0qz20ftp5t89r".
    RELEVANT OBJECT: SQL statement with SQL_ID 0qz20ftp5t89r and
    PLAN_HASH 1500325377
    SELECT COUNT(*) FROM ENTER_MSG WHERE SEND_UNSEND='U'
    ACTION: Investigate the SQL statement with SQL_ID "0qz20ftp5t89r" for
    possible performance improvements.
    RELEVANT OBJECT: SQL statement with SQL_ID 0qz20ftp5t89r and
    PLAN_HASH 1500325377
    SELECT COUNT(*) FROM ENTER_MSG WHERE SEND_UNSEND='U'
    RATIONALE: SQL statement with SQL_ID "0qz20ftp5t89r" was executed 167
    times and had an average elapsed time of 0.28 seconds.
    RATIONALE: Average CPU used per execution was 0.12 seconds.
    FINDING 2: 45% impact (164 seconds)
    SQL statements consuming significant database time were found.
    RECOMMENDATION 1: SQL Tuning, 31% benefit (112 seconds)
    ACTION: Run SQL Tuning Advisor on the SQL statement with SQL_ID
    "57xtcdjqy9pv4".
    RELEVANT OBJECT: SQL statement with SQL_ID 57xtcdjqy9pv4 and
    PLAN_HASH 3175156280
    UPDATE FEESUM SET AMTPAY=(SELECT SUM(CRE_BAL) FROM STUJOURNAL
    WHERE REF_NO = :b1 AND STDJID LIKE 'SPY%' ) WHERE VHNO = :b1
    RATIONALE: SQL statement with SQL_ID "57xtcdjqy9pv4" was executed 2256
    times and had an average elapsed time of 0.051 seconds.
    RECOMMENDATION 2: SQL Tuning, 13% benefit (48 seconds)
    ACTION: Run SQL Tuning Advisor on the SQL statement with SQL_ID
    "0qz20ftp5t89r".
    RELEVANT OBJECT: SQL statement with SQL_ID 0qz20ftp5t89r and
    PLAN_HASH 1500325377
    SELECT COUNT(*) FROM ENTER_MSG WHERE SEND_UNSEND='U'
    ACTION: Investigate the SQL statement with SQL_ID "0qz20ftp5t89r" for
    possible performance improvements.
    RELEVANT OBJECT: SQL statement with SQL_ID 0qz20ftp5t89r and
    PLAN_HASH 1500325377
    SELECT COUNT(*) FROM ENTER_MSG WHERE SEND_UNSEND='U'
    RATIONALE: SQL statement with SQL_ID "0qz20ftp5t89r" was executed 167
    times and had an average elapsed time of 0.28 seconds.
    FINDING 3: 31% impact (114 seconds)
    Hard parsing of SQL statements was consuming significant database time.
    NO RECOMMENDATIONS AVAILABLE
    ADDITIONAL INFORMATION:
    Hard parses due to cursor environment mismatch were not consuming
    significant database time.
    Hard parsing SQL statements that encountered parse errors was not
    consuming significant database time.
    Hard parses due to literal usage and cursor invalidation were not
    consuming significant database time.
    The SGA was adequately sized.
    FINDING 4: 2.4% impact (9 seconds)
    Soft parsing of SQL statements was consuming significant database time.
    RECOMMENDATION 1: Application Analysis, 2.4% benefit (9 seconds)
    ACTION: Investigate application logic to keep open the frequently used
    cursors. Note that cursors are closed by both cursor close calls and
    session disconnects.
    RECOMMENDATION 2: DB Configuration, 2.4% benefit (9 seconds)
    ACTION: Consider increasing the maximum number of open cursors a session
    can have by increasing the value of parameter "open_cursors".
    ACTION: Consider increasing the session cursor cache size by increasing
    the value of parameter "session_cached_cursors".
    RATIONALE: The value of parameter "open_cursors" was "700" during the
    analysis period.
    RATIONALE: The value of parameter "session_cached_cursors" was "20"
    during the analysis period.
    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    ADDITIONAL INFORMATION
    Wait class "Application" was not consuming significant database time.
    Wait class "Commit" was not consuming significant database time.
    Wait class "Concurrency" was not consuming significant database time.
    Wait class "Configuration" was not consuming significant database time.
    Wait class "Network" was not consuming significant database time.
    Wait class "User I/O" was not consuming significant database time.
    Session connect and disconnect calls were not consuming significant database
    time.
    The analysis of I/O performance is based on the default assumption that the
    average read time for one database block is 10000 micro-seconds.
    An explanation of the terminology used in this report is available when you
    run the report with the 'ALL' level of detail.
    How Can I Run SQL Tuning Advisor on the SQL statement with SQL_ID " XYZ " in EM ?
    And any other suggestion about above ADDM report will he appreciated..
    Regards..

    oracleRaj wrote:
    Thanks I have checked it, I wanted to know How Can I Run SQL Tuning Advisor on the SQL statement with SQL_ID " XYZ " in EM ?The links provided to you will tell you how to do it, and the EM wizard is fairly self explanatory. I'm going to ask why you want to. You ran a report for 1/2 an hour on a system presumably with at least 2 CPUs (though you don't say) so that means you have most likely over an hours worth of CPU available to you. Your total database time is 6 minutes. That doesn't sound like a struggling database to me, does it to you? If you manage to save 66% of the time then you'll have saved 4 minutes. Is that a worthwhile goal.
    However let's take a look at the most costly statement - the update - that consumes 112s or nearly 2 of your 6 minutes. However each execution only takes a twentieth of a second. Do your users notice that and want the update time to be (say) a fiftieth of a second instead? Where you might have an opportunity is in the fact that this statement is really quick, but is executed 2256 times in that half hour - that is 75 times a second. It's more than likely that this is a loop and that a more efficient way of doing this would be not to execute in the loop but execute a set based update. Unfortunately the SQL Tuning advisor isn't capable of making this sort of recommendation.
    In total then it looks like you've only actually got 4 minutes of your half hour that the SQL Tuning Advisor is likely to be able to improve. The count(*) might be improvable - if say you haven't got an index on the send_unsend column and that column is selective - but you still have to ask is the potential improvement worth it.
    Niall Litchfield
    http:/www.orawin.info

  • Addm report says less SGA then what is actually set

    I found a recommendation in addm report to increase the sga_target..quoted is lines from report..(notice that bold line)
    FINDING 5: 5% impact (262 seconds)
    The SGA was inadequately sized, causing additional I/O or hard parses.
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    Edited by: Dixit on Aug 31, 2009 1:53 AM

  • Multiple executions of a query found in the ADDM Report

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    yeah. posting it here:
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    | 0 | SELECT STATEMENT | | | | 4 (100)| |
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    | 2 | TABLE ACCESS BY INDEX ROWID | column1 | 14 | 252 | 1 (0)| 00:00:01 |
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    Hello,
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