Performance issue on 1 SQL request

Hi,
We have a performance problem. We have 2 systems. PRD and QAS (QAS is a copy of PRD as of September 2nd)
SQL request is identical.
table structures is identical.
indexes are identical.
views are identical
DB stats have all been recalculated on both systems
initSID.ora values are almost identical. only memory related parameters (and SID) are different.
Obviously, data is different
For you info, view ZBW_VIEW_EKPO fetched its info from tables EIKP, LFA1, EKKO and EKPO.
Starting on September 15th, a query that used to take 10 minutes started taking over 120 minutes.
I compared explain plans on both system and they are really different:
SQL request:
SELECT
  "MANDT" , "EBELN" , "EBELP" , "SAISO" , "SAISJ" , "AEDAT" , "AUREL" , "LOEKZ" , "INCO2" ,
  "ZZTRANSPORT" , "PRODA" , "ZZPRDHA" , "ZZMEM_DATE" , "KDATE" , "ZZHERKL" , "KNUMV" , "KTOKK"
FROM
  "ZBW_VIEW_EKPO"
WHERE
  "MANDT" = :A0#
Explain plan for PRD:
SELECT STATEMENT ( Estimated Costs = 300,452 , Estimated #Rows = 0 )
        8 HASH JOIN
          ( Estim. Costs = 300,451 , Estim. #Rows = 4,592,525 )
          Estim. CPU-Costs = 9,619,870,571 Estim. IO-Costs = 299,921
          Access Predicates
            1 TABLE ACCESS FULL EIKP
              ( Estim. Costs = 353 , Estim. #Rows = 54,830 )
              Estim. CPU-Costs = 49,504,995 Estim. IO-Costs = 350
              Filter Predicates
            7 HASH JOIN
              ( Estim. Costs = 300,072 , Estim. #Rows = 4,592,525 )
              Estim. CPU-Costs = 9,093,820,218 Estim. IO-Costs = 299,571
              Access Predicates
                2 TABLE ACCESS FULL LFA1
                  ( Estim. Costs = 63 , Estim. #Rows = 812 )
                  Estim. CPU-Costs = 7,478,316 Estim. IO-Costs = 63
                  Filter Predicates
                6 HASH JOIN
                  ( Estim. Costs = 299,983 , Estim. #Rows = 4,592,525 )
                  Estim. CPU-Costs = 8,617,899,244 Estim. IO-Costs = 299,508
                  Access Predicates
                    3 TABLE ACCESS FULL EKKO
                      ( Estim. Costs = 2,209 , Estim. #Rows = 271,200 )
                      Estim. CPU-Costs = 561,938,609 Estim. IO-Costs = 2,178
                      Filter Predicates
                    5 TABLE ACCESS BY INDEX ROWID EKPO
                      ( Estim. Costs = 290,522 , Estim. #Rows = 4,592,525 )
                      Estim. CPU-Costs = 6,913,020,784 Estim. IO-Costs = 290,141
                        4 INDEX SKIP SCAN EKPO~Z02
                          ( Estim. Costs = 5,144 , Estim. #Rows = 4,592,525 )
                          Search Columns: 2
                          Estim. CPU-Costs = 789,224,817 Estim. IO-Costs = 5,101
                         Access Predicates Filter Predicates
Explain plan for QAS:
SELECT STATEMENT ( Estimated Costs = 263,249 , Estimated #Rows = 13,842,540 )
        7 HASH JOIN
          ( Estim. Costs = 263,249 , Estim. #Rows = 13,842,540 )
          Estim. CPU-Costs = 59,041,893,935 Estim. IO-Costs = 260,190
          Access Predicates
            1 TABLE ACCESS FULL LFA1
              ( Estim. Costs = 63 , Estim. #Rows = 812 )
              Estim. CPU-Costs = 7,478,316 Estim. IO-Costs = 63
              Filter Predicates
            6 HASH JOIN
              ( Estim. Costs = 263,113 , Estim. #Rows = 13,842,540 )
              Estim. CPU-Costs = 57,640,387,953 Estim. IO-Costs = 260,127
              Access Predicates
                4 HASH JOIN
                  ( Estim. Costs = 2,127 , Estim. #Rows = 194,660 )
                  Estim. CPU-Costs = 513,706,489 Estim. IO-Costs = 2,100
                  Access Predicates
                    2 TABLE ACCESS FULL EIKP
                      ( Estim. Costs = 351 , Estim. #Rows = 54,830 )
                      Estim. CPU-Costs = 49,504,995 Estim. IO-Costs = 348
                      Filter Predicates
                    3 TABLE ACCESS FULL EKKO
                      ( Estim. Costs = 1,534 , Estim. #Rows = 194,660 )
                      Estim. CPU-Costs = 401,526,622 Estim. IO-Costs = 1,513
                      Filter Predicates
                5 TABLE ACCESS FULL EKPO
                  ( Estim. Costs = 255,339 , Estim. #Rows = 3,631,800 )
                  Estim. CPU-Costs = 55,204,047,516 Estim. IO-Costs = 252,479
                  Filter Predicates
One more bit of information, PRD was copied to TST about a month ago and this one is also slow.
I did almost anything I could think of.

> DB stats have all been recalculated on both systems
> initSID.ora values are almost identical. only memory related parameters (and SID) are different.
> Obviously, data is different
Ok, so you say: the parameters are different, the data is different and the statistics are different.
I'm surprised that you still expect the plans to be the same...
> For you info, view ZBW_VIEW_EKPO fetched its info from tables EIKP, LFA1, EKKO and EKPO.
We will need to see the view definition !
> Starting on September 15th, a query that used to take 10 minutes started taking over 120 minutes.
Oh - Sep. 15th - that explains it ... just kiddin'.
Ok, so it appears to be obvious that from that day on, the execution plan for the query was changed.
If you're on Oracle 10g you may look it up again and also recall the CBO stats that had been used back then.
> I compared explain plans on both system and they are really different:
>
> SQL request:
>
SELECT
>   "MANDT" , "EBELN" , "EBELP" , "SAISO" , "SAISJ" , "AEDAT" , "AUREL" , "LOEKZ" , "INCO2" ,
>   "ZZTRANSPORT" , "PRODA" , "ZZPRDHA" , "ZZMEM_DATE" , "KDATE" , "ZZHERKL" , "KNUMV" , "KTOKK"
> FROM
>   "ZBW_VIEW_EKPO"
> WHERE
>   "MANDT" = :A0#
Ok - basically you fetch all rows from this view as MANDT is usually not a selection criteria at all.
> Explain plan for PRD:

SELECT STATEMENT ( Estimated Costs = 300,452 , Estimated #Rows = 0 )
>
>         8 HASH JOIN
>           ( Estim. Costs = 300,451 , Estim. #Rows = 4,592,525 )
>           Estim. CPU-Costs = 9,619,870,571 Estim. IO-Costs = 299,921
>           Access Predicates
>
>             1 TABLE ACCESS FULL EIKP
>               ( Estim. Costs = 353 , Estim. #Rows = 54,830 )
>               Estim. CPU-Costs = 49,504,995 Estim. IO-Costs = 350
>               Filter Predicates
>             7 HASH JOIN
>               ( Estim. Costs = 300,072 , Estim. #Rows = 4,592,525 )
>               Estim. CPU-Costs = 9,093,820,218 Estim. IO-Costs = 299,571
>               Access Predicates
>
>                 2 TABLE ACCESS FULL LFA1
>                   ( Estim. Costs = 63 , Estim. #Rows = 812 )
>                   Estim. CPU-Costs = 7,478,316 Estim. IO-Costs = 63
>                   Filter Predicates
>                 6 HASH JOIN
>                   ( Estim. Costs = 299,983 , Estim. #Rows = 4,592,525 )
>                   Estim. CPU-Costs = 8,617,899,244 Estim. IO-Costs = 299,508
>                   Access Predicates
>
>                     3 TABLE ACCESS FULL EKKO
>                       ( Estim. Costs = 2,209 , Estim. #Rows = 271,200 )
>                       Estim. CPU-Costs = 561,938,609 Estim. IO-Costs = 2,178
>                       Filter Predicates
>                     5 TABLE ACCESS BY INDEX ROWID EKPO
>                       ( Estim. Costs = 290,522 , Estim. #Rows = 4,592,525 )
>                       Estim. CPU-Costs = 6,913,020,784 Estim. IO-Costs = 290,141
>
>                         4 INDEX SKIP SCAN EKPO~Z02
>                           ( Estim. Costs = 5,144 , Estim. #Rows = 4,592,525 )
>                           Search Columns: 2
>                           Estim. CPU-Costs = 789,224,817 Estim. IO-Costs = 5,101
>                          Access Predicates Filter Predicates
Ok, we've no restriction to the data, so Oracle chooses the access methods it thinks are best for large volumes of data - Full table scans and HASH JOINS. The index skip scan is quite odd - maybe this is due to one of the join conditions.
> Explain plan for QAS:

SELECT STATEMENT ( Estimated Costs = 263,249 , Estimated #Rows = 13,842,540 )
>
>         7 HASH JOIN
>           ( Estim. Costs = 263,249 , Estim. #Rows = 13,842,540 )
>           Estim. CPU-Costs = 59,041,893,935 Estim. IO-Costs = 260,190
>           Access Predicates
>
>             1 TABLE ACCESS FULL LFA1
>               ( Estim. Costs = 63 , Estim. #Rows = 812 )
>               Estim. CPU-Costs = 7,478,316 Estim. IO-Costs = 63
>               Filter Predicates
>             6 HASH JOIN
>               ( Estim. Costs = 263,113 , Estim. #Rows = 13,842,540 )
>               Estim. CPU-Costs = 57,640,387,953 Estim. IO-Costs = 260,127
>               Access Predicates
>
>                 4 HASH JOIN
>                   ( Estim. Costs = 2,127 , Estim. #Rows = 194,660 )
>                   Estim. CPU-Costs = 513,706,489 Estim. IO-Costs = 2,100
>                   Access Predicates
>
>                     2 TABLE ACCESS FULL EIKP
>                       ( Estim. Costs = 351 , Estim. #Rows = 54,830 )
>                       Estim. CPU-Costs = 49,504,995 Estim. IO-Costs = 348
>                       Filter Predicates
>                     3 TABLE ACCESS FULL EKKO
>                       ( Estim. Costs = 1,534 , Estim. #Rows = 194,660 )
>                       Estim. CPU-Costs = 401,526,622 Estim. IO-Costs = 1,513
>                       Filter Predicates
>
>                 5 TABLE ACCESS FULL EKPO
>                   ( Estim. Costs = 255,339 , Estim. #Rows = 3,631,800 )
>                   Estim. CPU-Costs = 55,204,047,516 Estim. IO-Costs = 252,479
>                   Filter Predicates
Ok, we see significantly different table sizes here, but at least this second plan leaves out the superfluous Index Skip Scan.
How to move on from here?
1. Check whether you've installed all the current patches. Not all bugs that are in the system are hit all the time, so it may very well be that after new CBO stats were calculated you just begin to hit one of it.
2. Make sure that all parameter recommendations are implemented on the systems. This is crucial for the CBO.
3. Provide a description of the Indexes and the view definition.
The easiest would be: perform an Oracle CBO trace and provide a download link to it.
regards,
Lars

Similar Messages

  • Performance issue with pl/sql code

    Hi Oracle Gurus,
    I am in need of your recommendations for a performance issue that I am facing in production envrionment. There is a pl/sql procedure which executes with different elapsed time at different executions. Elapsed Times are 30minutes , 40 minutes, 65 minutes , 3 minutes ,3 seconds.
    Expected elapsed time is maximum of 3 minutes. ( But some times it took 3 seconds too...! )
    Output on all different executions are same that is deletion and insertion of 12K records into a table.
    Here is the auto trace details of two different scenarios.
    Slow execution - 33.65 minutes
    Stat Name                                Statement   Per Execution % Snap
    Elapsed Time (ms)                         1,712,343    1,712,342.6    41.4
    CPU Time (ms)                             1,679,689    1,679,688.6    44.7
    Executions                                        1            N/A     N/A
    Buffer Gets                              ##########  167,257,973.0    86.9
    Disk Reads                                    1,284        1,284.0     0.4
    Parse Calls                                       1            1.0     0.0
    User I/O Wait Time (ms)                       4,264            N/A     N/A
    Cluster Wait Time (ms)                        3,468            N/A     N/A
    Application Wait Time (ms)                        0            N/A     N/A
    Concurrency Wait Time (ms)                        6            N/A     N/A
    Invalidations                                     0            N/A     N/A
    Version Count                                     4            N/A     N/A
    Sharable Mem(KB)                                 85            N/A     N/A
              -------------------------------------------------------------Fast Exection : 5 seconds
    Stat Name                                Statement   Per Execution % Snap
    Elapsed Time (ms)                            41,550       41,550.3     0.7
    CPU Time (ms)                                40,776       40,776.3     1.0
    Executions                                        1            N/A     N/A
    Buffer Gets                               2,995,677    2,995,677.0     4.2
    Disk Reads                                       22           22.0     0.0
    Parse Calls                                       1            1.0     0.0
    User I/O Wait Time (ms)                         162            N/A     N/A
    Cluster Wait Time (ms)                          621            N/A     N/A
    Application Wait Time (ms)                        0            N/A     N/A
    Concurrency Wait Time (ms)                       55            N/A     N/A
    Invalidations                                     0            N/A     N/A
    Version Count                                     4            N/A     N/A
    Sharable Mem(KB)                                 85            N/A     N/A
              -------------------------------------------------------------For security reasons, I cannot share the actual code. Its a report generating code that deletes and load the data into table using insert into select statement.
    Delete from table ;
    cursor X to get the master data ( 98 records )
    For each X loop
    insert into tableA select * from tables where a= X.a and b= X.b and c=X.c ..... ;
    -- 12 K records inserted on average
    insert into tableB select * from tables where a= X.a and b= X.b and c=X.c ..... ;
    -- 12 K records inserted on average
    end loop ;1. The select query is complex with bind variables ( explain plan varies for each values )
    2. I have checked the tablespace of the tables involved, it is 82% used. DBA confirmed that it is not the reason.
    3. Disk reads are high during long execution.
    4. At long running times, I can see a db sequential read wait event on a index object. This index is on the table where data is inserted.
    All I need to find is why this code is taking 3 seconds and 60 minutes on the same day and on the consecutive executions ?
    Is there any other approach to find the root cause of this behaviour and to fix it ? Kindly adivse.
    Thanks in advance your help.
    Regards,
    Hari
    Edited by: BluShadow on 26-Sep-2012 08:24
    edited to add {noformat}{noformat} tags.  You've been a member long enough to know to do this yourself... so please do so in future.  ({message:id=9360002})                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                               

    Hariharan ST wrote:
    Hi Oracle Gurus,
    I am in need of your recommendations for a performance issue that I am facing in production envrionment. There is a pl/sql procedure which executes with different elapsed time at different executions. Please reedit your post and add some code tags around the trace information. This would improve readability greatly and will help us to help you
    example
    {<b></b>code}
    select * from dual;{<b></b>code}
    Based upon your description I can imagine two things.
    a) The execution plan for the select query does change frequently.
    A typical reason can be not up to date statistics.
    b) Some locking / wait conflict. For example upon a UK index.
    Are there any other operations going on while it is slow? If anybody inserts a value, then your session will wait, if the same (PK/UK) value also is to be inserted.
    Those wait events can be recognized using standard tools like oracle sql developer or enterprise manager while the query is slow.
    Also go through the links that are in the FAQ. They tell you how to get better information for makeing a tuning request.
    SQL and PL/SQL FAQ
    Edited by: Sven W. on Sep 25, 2012 6:41 PM

  • Performance issue using Native SQL

    Hi
        I am getting the data from Oracle database using Native SQL in ABAP. I am facing performance problem when i am using Native SQL to get data from Oracle database.Its been very slow and getting timed out.
    This is the code i am using for this.
    EXEC SQL PERFORMING BUILD_TAB.
    Get the territory id
        SELECT TERR_ID
          FROM DWPROD.VW_ARDETAIL_PRD1@DWP
          INTO :IT_TERR-TERR_ID
               :DG_TERR_ID
         WHERE COMPANY     = :dt_output-bukrs
           AND PAY_ADDR_ID = :dt_output-kunnr
           AND DOC_NO      = :dt_output-belnr
           AND DOC_ITEM_NO = :dt_output-buzei
      ENDEXEC.
      IF sy-dbcnt >= 1.
        READ TABLE it_terr INDEX 1.
        dg_terr_id = it_terr-terr_id.
        EXEC SQL.
    Get the Saled rep id, name
          SELECT MR_USER_ID,
                 MR_NAME
            FROM DWPROD.VW_TERR@DWP
            INTO :dt_output-srep_id,
                 :dt_output-srep_name
           WHERE TERR_ID = :DG_TERR_ID
        ENDEXEC.
    *Get sales manager id and sales manager name
        EXEC SQL.
          SELECT SALES_GRP_ID
            FROM DWPROD.VW_TERRRPT@DWP
            INTO :DG_SGRPID
           WHERE TERR_ID = :DG_TERR_ID
        ENDEXEC.
        IF sy-dbcnt >= 1.
          EXEC SQL.
            SELECT MGR_USER_ID,
                   MGR_NAME
              FROM DWPROD.VW_SGRP@DWP
              INTO :dt_output-sman_id,
                   :dt_output-sman_name
             WHERE SALES_GRP_ID = :DG_SGRPID
          ENDEXEC.
        ENDIF.
      ENDIF.
    Can any one suggest a solution to improve the performance.
    Thnaks
    Vianney

    Hi John!
    Looks like you need just one entry out of the tables, but you select 'into table'.
    Try to add a 'up to 1 rows' restriction, then Oracle will be much faster with the execution.
    To get an idea, who this parameter looks like in native SQL for Oracle, write a simple test program with an open SQL statement (including this parameter / select single) and run a SQL-trace (ST05). Here you can see in 'explain' how native translation looks like, can also maintain some small tests with 'enter SQL statement'.
    Regards,
    Christian

  • Performance issues of SQL access to AW

    Hi Experts:
    I wonder whether there is performance issues when using SQL to access AW. When using SQL to access cubes in AW, the SQL queries the relational views for AW objects. And the views are based on OLAP_TABLE function. We know that, views based on any table function are not able to make use of index. That is to query a subset of the data of a view, we would have to full scan the view and then apply the filter. Such query plan always lead to bad performance.
    I want to know, when I use SQL to retrieve a small part of data in an AW-cube, will Oracle OLAP engine retrieve all data in the cube and then apply the filter? If the Oracle OLAP engine only retrieves data needed from AW, how can she did it?
    Thanks.

    For most requests the OLAP_TABLE function can reduce the amount of data it produces by examining the rowsource tree , or WHERE clause. The data in Oracle OLAP is highly indexed. There are steps a user can take to optimize the index use. Specifically, pin down the dimension(s) defined in the OLAP_TABLE function LIMITMAP via (NOT)IN lists on the dimension, parent, level or GID columns. Use of valuesets for the INHIER object, instead of a boolean object.
    In 10g, WHERE clauses like SALES > 50 are also processed prior to sending data out.
    For large requests (thousands of rows) performance can be a problem because the data is being sent through the object layer. In 10 this can be ameliorated by wrapping the OLAP_TABLE function call with a SQL MODEL clause. The SQL MODEL knows a bit more about the Olap options and does not require use to pipe the data through the object layer.
    SQL MODEL example (note no ADT defintion, using of auto ADT) This can be wrapped in a CREATE VIEW statement :
    select * from olap_table('myaw duration session', null, null, 'measure sales as number from aw_sales_obj dimension d1 as varchar2(10) from geog ...rest of dimensions')
    sql model dimension by (d1, d2, d3, d4) measures (sales, any attributes, parent columns etc...) unique single reference rules update sequential order ()
    Example of WHERE clause with above select.
    SELECT *
    FROM (select * from olap_table('myaw duration session', null, null, 'measure sales as number from aw_sales_obj dimension d1 as varchar2(10) from geog ...rest of dimensions')
    sql model dimension by (d1, d2, d3, d4) measures (sales, any attributes, parent columns etc...) unique single reference rules update sequential order ()))
    WHERE GEOG NOT IN ('USA', 'CANADA')
    and GEOG_GID = 1
    and TIME_PARENT IN ('2004')
    and CHANNEL = 'CATALOG'
    and SALES > 50000;

  • Returning multiple values from a called tabular form(performance issue)

    I hope someone can help with this.
    I have a form that calls another form to display a multiple column tabular list of values(needs to allow for user sorting so could not use a LOV).
    The user selects one or more records from the list by using check boxes. In order to detect the records selected I loop through the block looking for boxes checked off and return those records to the calling form via a PL/SQL table.
    The form displaying the tabular list loads quickly(about 5000 records in the base table). However when I select one or more values from the table and return back to the calling form, it takes a while(about 3-4 minutes) to return to the called form with the selected values.
    I guess it is going through the block(all 5000 records) looking for boxes checked off and that is what is causing the noticeable pause.
    Is this normal given the data volumes I have or are there any other perhaps better techniques or tricks I could use to improve performance. I am using Forms6i.
    Sorry for being so long-winded and thanks in advance for any help.

    Try writing to your PL/SQL table when the user selects (or remove when deselect) by usuing a when-checkbox-changed trigger. This will eliminate the need for you top loop through a block with 5000 records and should improve your performance.
    I am not aware of any performance issues with PL/SQL tables in forms, but if you still have slow performance try using a shared record-group instead. I have used these in the past for exactly the same thing and had no performance problems.
    Hope this helps,
    Candace Stover
    Forms Product Management

  • Whenever an slowness issue came in sql server how should I start?

    whenever a slowness issue or performance issue came in sql server how should I start?
    Please guide.
    Thanks

    Hi Ajay,
    All answer given above would be useful to you in some or the other scenario. if you are facing performance issue the approach you take determines how easily and quickly you can find solution.
    First thing is know your system how it works for that you need to first baseline a system. A system with 70 % CPU utilization would not always be issue but for some environment it can be. If you know your system very well moment performance issue  comes
    you would know where is the problem. Wait stats alone is never helpful you must be able to correlate wait stats to what is going on your system. If you know which query is causing issue its easy to see execution plan and tune it. If issue is server wide it
    can be due to missing index outdated stats slow disk subsystem etc. So first step is finding the cause. As Uri suggested wait stats are always helpful I use wait stats and refer to below whitepaper by Microsoft for SQL Server troubleshooting
    http://technet.microsoft.com/en-us/library/dd672789%28v=sql.100%29.aspx
    Remember important thing is knowing your system and that can come from base lining.
    Please mark this reply as answer if it solved your issue or vote as helpful if it helped so that other forum members can benefit from it.
    My TechNet Wiki Articles

  • Comples SQL performance issues in 11g

    We are facing Performance Issues for a Complex SQL in Version 11.2. But earlier in 11.1 this SQL is performing well..
    We dont have previous versions SQL Plan for this SQL Statement.
    We Dont want to rewrite the SQL as this SQL has performed Well in previous versions.
    Do we need to change the optimizer parameters so that the Query will be tuned automatically.
    Please help me out

    If you're licensed for the SQL Tuning Pack, you could run the query through the SQL Tuning Advisor see if it can improve.
    It will probably recommend a SQL profile which you can accept.
    You could also hint the SQL directly - you might just want to look at /*+ OPT_PARAM('OPTIMIZER_FEATURES_ENABLE','11.1.0.x') */ 'x' depending on your exact 11.1 version.
    You could alter the session, set optimizer_features_enable and capture a SQL profile manually for the 11.1 plan.
    You could do some root cause analysis as suggested by Karthick.
    See threads:
    How to post a SQL tuning request: HOW TO: Post a SQL statement tuning request - template posting
    When your query takes too long: When your query takes too long ...
    For some recent relevant examples about identifying plans changes following upgrade, see also Coskan Gundogar's blog:
    http://coskan.wordpress.com/2011/02/14/plan-stability-through-upgrade-why-is-my-plan-changed-bugfixes-1/
    http://coskan.wordpress.com/2011/02/15/plan-stability-through-upgrade-why-is-my-plan-changed-bugfixes-2/
    http://coskan.wordpress.com/2011/02/17/plan-stability-through-upgrade-why-is-my-plan-changed-new-optimizer-parameters/

  • Performance issues with dynamic action (PL/SQL)

    Hi!
    I'm having perfomance issues with a dynamic action that is triggered on a button click.
    I have 5 drop down lists to select columns which the users want to filter, 5 drop down lists to select an operation and 5 boxes to input values.
    After that, there is a filter button that just submits the page based on the selected filters.
    This part works fine, the data is filtered almost instantaneously.
    After this, I have 3 column selectors and 3 boxes where users put values they wish to update the filtered rows to,
    There is an update button that calls the dynamic action (procedure that is written below).
    It should be straight out, the only performance issue could be the decode section, because I need to cover cases when user wants to set a value to null (@) and when he doesn't want update 3 columns, but less (he leaves '').
    Hence P99_X_UC1 || ' = decode('  || P99_X_UV1 ||','''','|| P99_X_UC1  ||',''@'',null,'|| P99_X_UV1  ||')
    However when I finally click the update button, my browser freezes and nothing happens on the table.
    Can anyone help me solve this and improve the speed of the update?
    Regards,
    Ivan
    P.S. The code for the procedure is below:
    create or replace
    PROCEDURE DWP.PROC_UPD
    (P99_X_UC1 in VARCHAR2,
    P99_X_UV1 in VARCHAR2,
    P99_X_UC2 in VARCHAR2,
    P99_X_UV2 in VARCHAR2,
    P99_X_UC3 in VARCHAR2,
    P99_X_UV3 in VARCHAR2,
    P99_X_COL in VARCHAR2,
    P99_X_O in VARCHAR2,
    P99_X_V in VARCHAR2,
    P99_X_COL2 in VARCHAR2,
    P99_X_O2 in VARCHAR2,
    P99_X_V2 in VARCHAR2,
    P99_X_COL3 in VARCHAR2,
    P99_X_O3 in VARCHAR2,
    P99_X_V3 in VARCHAR2,
    P99_X_COL4 in VARCHAR2,
    P99_X_O4 in VARCHAR2,
    P99_X_V4 in VARCHAR2,
    P99_X_COL5 in VARCHAR2,
    P99_X_O5 in VARCHAR2,
    P99_X_V5 in VARCHAR2,
    P99_X_CD in VARCHAR2,
    P99_X_VD in VARCHAR2
    ) IS
    l_sql_stmt varchar2(32600);
    p_table_name varchar2(30) := 'DWP.IZV_SLOG_DET'; 
    BEGIN
    l_sql_stmt := 'update ' || p_table_name || ' set '
    || P99_X_UC1 || ' = decode('  || P99_X_UV1 ||','''','|| P99_X_UC1  ||',''@'',null,'|| P99_X_UV1  ||'),'
    || P99_X_UC2 || ' = decode('  || P99_X_UV2 ||','''','|| P99_X_UC2  ||',''@'',null,'|| P99_X_UV2  ||'),'
    || P99_X_UC3 || ' = decode('  || P99_X_UV3 ||','''','|| P99_X_UC3  ||',''@'',null,'|| P99_X_UV3  ||') where '||
    P99_X_COL  ||' '|| P99_X_O  ||' ' || P99_X_V  || ' and ' ||
    P99_X_COL2 ||' '|| P99_X_O2 ||' ' || P99_X_V2 || ' and ' ||
    P99_X_COL3 ||' '|| P99_X_O3 ||' ' || P99_X_V3 || ' and ' ||
    P99_X_COL4 ||' '|| P99_X_O4 ||' ' || P99_X_V4 || ' and ' ||
    P99_X_COL5 ||' '|| P99_X_O5 ||' ' || P99_X_V5 || ' and ' ||
    P99_X_CD   ||       ' = '         || P99_X_VD ;
    --dbms_output.put_line(l_sql_stmt); 
    EXECUTE IMMEDIATE l_sql_stmt;
    END;

    Hi Ivan,
    I do not think that the decode is performance relevant. Maybe the update hangs because some other transaction has uncommitted changes to one of the affected rows or the where clause is not selective enough and needs to update a huge amount of records.
    Besides that - and I might be wrong, because I only know some part of your app - the code here looks like you have a huge sql injection vulnerability here. Maybe you should consider re-writing your logic in static sql. If that is not possible, you should make sure that the user input only contains allowed values, e.g. by white-listing P99_X_On (i.e. make sure they only contain known values like '=', '<', ...), and by using dbms_assert.enquote_name/enquote_literal on the other P99_X_nnn parameters.
    Regards,
    Christian

  • SQL Query with a little bit more complicated WHERE clause performance issue

    Hello, I have some performance issue in this case:
    Very simplified query:
    SELECT COUNT(*) FROM Items
    WHERE
    ConditionA OR
    ConditionB OR
    ConditionC OR ...
    Simply I have to determine how many Items the user has access through some complicated conditions.
    When there is a large number of records (100,000+) in the Items table and say ~10 complicated conditions concatenated in WHERE clause, I get the result about 2 seconds in my case. The problem is when very few conditions are met, f.e. when I get only
    10 Items from 100,000.
    How can I improve the performace in this "Get my items" case?
    Additional information:
    the query is generated by EF 6.1
    MS SQL 2012 Express
    Here is the main part of the real SQL Execution Plan:

    Can you post table/index DDL?  Query?
    Sample query:
    exec sp_executesql N'SELECT
    [GroupBy1].[A1] AS [C1]
    FROM ( SELECT
    COUNT(1) AS [A1]
    FROM [dbo].[Tickets] AS [Extent1]
    LEFT OUTER JOIN [dbo].[Services] AS [Extent2] ON [Extent1].[ServiceId] = [Extent2].[Id]
    WHERE (@p__linq__0 = 1) OR ([Extent1].[SubmitterKey] = @p__linq__1) OR ([Extent1].[OperatorKey] = @p__linq__2) OR (([Extent1].[OperatorKey] IS NULL) AND (@p__linq__2 IS NULL)) OR ([Extent1].[SolverKey] = @p__linq__3) OR (([Extent1].[SolverKey] IS NULL) AND (@p__linq__3 IS NULL)) OR ([Extent1].[Incident2ndLineSupportKey] = @p__linq__4) OR (([Extent1].[Incident2ndLineSupportKey] IS NULL) AND (@p__linq__4 IS NULL)) OR ((@p__linq__5 = 1) AND ((1 = CAST( [Extent1].[TicketType] AS int)) OR ((@p__linq__6 = 1) AND (((2 = CAST( [Extent1].[TicketType] AS int)) AND (([Extent2].[IncidentManager] = @p__linq__7) OR (([Extent2].[IncidentManager] IS NULL) AND (@p__linq__7 IS NULL)))) OR ((3 = CAST( [Extent1].[TicketType] AS int)) AND (([Extent2].[ServiceRequestManager] = @p__linq__8) OR (([Extent2].[ServiceRequestManager] IS NULL) AND (@p__linq__8 IS NULL)))) OR ((4 = CAST( [Extent1].[TicketType] AS int)) AND (([Extent2].[ProblemManager] = @p__linq__9) OR (([Extent2].[ProblemManager] IS NULL) AND (@p__linq__9 IS NULL)))) OR ((5 = CAST( [Extent1].[TicketType] AS int)) AND (([Extent2].[ChangeManager] = @p__linq__10) OR (([Extent2].[ChangeManager] IS NULL) AND (@p__linq__10 IS NULL)))))) OR ( EXISTS (SELECT
    1 AS [C1]
    FROM [dbo].[ServiceDeputyManagers] AS [Extent3]
    WHERE ([Extent1].[ServiceId] = [Extent3].[ServiceId]) AND ( CAST( [Extent3].[TicketType] AS int) = CAST( [Extent1].[TicketType] AS int)) AND ([Extent3].[UserProviderKey] = @p__linq__11)
    )))) OR ((2 = CAST( [Extent1].[TicketType] AS int)) AND (([Extent2].[AllowAccessToOtherOperatorsIncidents] = 1) OR ((201 = [Extent1].[TicketStateValue]) AND ([Extent2].[WfDisableIncidentTakeFromQueueAction] <> cast(1 as bit)))) AND ([Extent2].[Incident1stLineSupportLimitedAccess] <> cast(1 as bit))) OR ((3 = CAST( [Extent1].[TicketType] AS int)) AND (([Extent2].[AllowAccessToOtherOperatorsServiceRequests] = 1) OR ((301 = [Extent1].[TicketStateValue]) AND ([Extent2].[WfDisableServiceRequestTakeFromQueueAction] <> cast(1 as bit)))) AND ([Extent2].[ServiceRequestLimitedAccess] <> cast(1 as bit))) OR ((4 = CAST( [Extent1].[TicketType] AS int)) AND ([Extent2].[AllowAccessToOtherOperatorsProblems] = 1) AND ([Extent2].[ProblemLimitedAccess] <> cast(1 as bit))) OR ((5 = CAST( [Extent1].[TicketType] AS int)) AND (([Extent2].[AllowAccessToOtherOperatorsChanges] = 1) OR ((501 = [Extent1].[TicketStateValue]) AND ([Extent2].[WfDisableChangeTakeFromQueueAction] <> cast(1 as bit)))) AND ([Extent2].[ChangeLimitedAccess] <> cast(1 as bit))) OR ((2 = CAST( [Extent1].[TicketType] AS int)) AND (([Extent2].[AllowAccessToOtherOperatorsIncidents] = 1) OR ((201 = [Extent1].[TicketStateValue]) AND ([Extent2].[WfDisableIncidentTakeFromQueueAction] <> cast(1 as bit)))) AND (( EXISTS (SELECT
    1 AS [C1]
    FROM [dbo].[ServiceOperators] AS [Extent4]
    WHERE ([Extent1].[ServiceId] = [Extent4].[ServiceId]) AND (2 = CAST( [Extent4].[TicketType] AS int)) AND ([Extent4].[UserProviderKey] = @p__linq__12) AND (1 = [Extent4].[SupportLine])
    )) OR ( EXISTS (SELECT
    1 AS [C1]
    FROM [dbo].[OperatorGroupUsers] AS [Extent5]
    WHERE ([Extent5].[UserProviderKey] = @p__linq__13) AND ( EXISTS (SELECT
    1 AS [C1]
    FROM [dbo].[ServiceOperatorGroups] AS [Extent6]
    WHERE ([Extent6].[ServiceId] = [Extent1].[ServiceId]) AND (2 = CAST( [Extent6].[TicketType] AS int)) AND (1 = [Extent6].[SupportLine]) AND ([Extent6].[OperatorGroupId] = [Extent5].[OperatorGroupId])
    )))) OR ((2 = CAST( [Extent1].[TicketType] AS int)) AND ([Extent1].[IncidentFunctionEscalatedTo2ndLineSupport] = 1) AND ([Extent1].[Incident2ndLineSupportKey] IS NULL) AND (([Extent2].[Incident2ndLineSupportLimitedAccess] <> cast(1 as bit)) OR ( EXISTS (SELECT
    1 AS [C1]
    FROM [dbo].[ServiceOperators] AS [Extent7]
    WHERE ([Extent1].[ServiceId] = [Extent7].[ServiceId]) AND (2 = CAST( [Extent7].[TicketType] AS int)) AND ([Extent7].[UserProviderKey] = @p__linq__14) AND (2 = [Extent7].[SupportLine])
    )) OR ( EXISTS (SELECT
    1 AS [C1]
    FROM [dbo].[OperatorGroupUsers] AS [Extent8]
    WHERE ([Extent8].[UserProviderKey] = @p__linq__15) AND ( EXISTS (SELECT
    1 AS [C1]
    FROM [dbo].[ServiceOperatorGroups] AS [Extent9]
    WHERE ([Extent9].[ServiceId] = [Extent1].[ServiceId]) AND (2 = CAST( [Extent9].[TicketType] AS int)) AND (2 = [Extent9].[SupportLine]) AND ([Extent9].[OperatorGroupId] = [Extent8].[OperatorGroupId])
    )))) OR ((3 = CAST( [Extent1].[TicketType] AS int)) AND (([Extent2].[AllowAccessToOtherOperatorsServiceRequests] = 1) OR ((301 = CAST( [Extent1].[TicketState] AS int)) AND ([Extent2].[WfDisableServiceRequestTakeFromQueueAction] <> cast(1 as bit)))) AND (( EXISTS (SELECT
    1 AS [C1]
    FROM [dbo].[ServiceOperators] AS [Extent10]
    WHERE ([Extent1].[ServiceId] = [Extent10].[ServiceId]) AND (3 = CAST( [Extent10].[TicketType] AS int)) AND ([Extent10].[UserProviderKey] = @p__linq__16)
    )) OR ( EXISTS (SELECT
    1 AS [C1]
    FROM [dbo].[OperatorGroupUsers] AS [Extent11]
    WHERE ([Extent11].[UserProviderKey] = @p__linq__17) AND ( EXISTS (SELECT
    1 AS [C1]
    FROM [dbo].[ServiceOperatorGroups] AS [Extent12]
    WHERE ([Extent12].[ServiceId] = [Extent1].[ServiceId]) AND (3 = CAST( [Extent12].[TicketType] AS int)) AND ([Extent12].[OperatorGroupId] = [Extent11].[OperatorGroupId])
    )))) OR ((4 = CAST( [Extent1].[TicketType] AS int)) AND ([Extent2].[AllowAccessToOtherOperatorsProblems] = 1) AND (( EXISTS (SELECT
    1 AS [C1]
    FROM [dbo].[ServiceOperators] AS [Extent13]
    WHERE ([Extent1].[ServiceId] = [Extent13].[ServiceId]) AND (4 = CAST( [Extent13].[TicketType] AS int)) AND ([Extent13].[UserProviderKey] = @p__linq__18)
    )) OR ( EXISTS (SELECT
    1 AS [C1]
    FROM [dbo].[OperatorGroupUsers] AS [Extent14]
    WHERE ([Extent14].[UserProviderKey] = @p__linq__19) AND ( EXISTS (SELECT
    1 AS [C1]
    FROM [dbo].[ServiceOperatorGroups] AS [Extent15]
    WHERE ([Extent15].[ServiceId] = [Extent1].[ServiceId]) AND (4 = CAST( [Extent15].[TicketType] AS int)) AND ([Extent15].[OperatorGroupId] = [Extent14].[OperatorGroupId])
    )))) OR ((5 = CAST( [Extent1].[TicketType] AS int)) AND (([Extent2].[AllowAccessToOtherOperatorsChanges] = 1) OR ((501 = [Extent1].[TicketStateValue]) AND ([Extent2].[WfDisableChangeTakeFromQueueAction] <> cast(1 as bit)))) AND (( EXISTS (SELECT
    1 AS [C1]
    FROM [dbo].[ServiceOperators] AS [Extent16]
    WHERE ([Extent1].[ServiceId] = [Extent16].[ServiceId]) AND (5 = CAST( [Extent16].[TicketType] AS int)) AND ([Extent16].[UserProviderKey] = @p__linq__20)
    )) OR ( EXISTS (SELECT
    1 AS [C1]
    FROM [dbo].[OperatorGroupUsers] AS [Extent17]
    WHERE ([Extent17].[UserProviderKey] = @p__linq__21) AND ( EXISTS (SELECT
    1 AS [C1]
    FROM [dbo].[ServiceOperatorGroups] AS [Extent18]
    WHERE ([Extent18].[ServiceId] = [Extent1].[ServiceId]) AND (5 = CAST( [Extent18].[TicketType] AS int)) AND ([Extent18].[OperatorGroupId] = [Extent17].[OperatorGroupId])
    )))) OR ( EXISTS (SELECT
    1 AS [C1]
    FROM [dbo].[TicketInvitations] AS [Extent19]
    WHERE ([Extent19].[TicketId] = [Extent1].[Id]) AND (([Extent19].[InvitedUserProviderKey] = @p__linq__22) OR (([Extent19].[InvitedUserProviderKey] IS NULL) AND (@p__linq__22 IS NULL)))
    )) OR ( EXISTS (SELECT
    1 AS [C1]
    FROM (SELECT
    [Extent20].[CustomerId] AS [CustomerId]
    FROM [dbo].[CustomerUsers] AS [Extent20]
    WHERE ([Extent20].[UserProviderKey] = @p__linq__23) AND ([Extent20].[CanAccessOthersTickets] = 1)
    INTERSECT
    SELECT
    [Extent21].[CustomerId] AS [CustomerId]
    FROM [dbo].[CustomerUsers] AS [Extent21]
    WHERE [Extent21].[UserProviderKey] = [Extent1].[SubmitterKey]) AS [Intersect1]
    )) OR ( EXISTS (SELECT
    1 AS [C1]
    FROM (SELECT
    [Extent22].[InternalGroupId] AS [InternalGroupId]
    FROM [dbo].[InternalGroupUsers] AS [Extent22]
    WHERE ([Extent22].[UserProviderKey] = @p__linq__24) AND ([Extent22].[CanAccessOthersTickets] = 1)
    INTERSECT
    SELECT
    [Extent23].[InternalGroupId] AS [InternalGroupId]
    FROM [dbo].[InternalGroupUsers] AS [Extent23]
    WHERE [Extent23].[UserProviderKey] = [Extent1].[SubmitterKey]) AS [Intersect2]
    ) AS [GroupBy1]',N'@p__linq__0 bit,@p__linq__1 varchar(8000),@p__linq__2 varchar(8000),@p__linq__3 varchar(8000),@p__linq__4 varchar(8000),@p__linq__5 bit,@p__linq__6 bit,@p__linq__7 varchar(8000),@p__linq__8 varchar(8000),@p__linq__9 varchar(8000),@p__linq__10 varchar(8000),@p__linq__11 varchar(8000),@p__linq__12 varchar(8000),@p__linq__13 varchar(8000),@p__linq__14 varchar(8000),@p__linq__15 varchar(8000),@p__linq__16 varchar(8000),@p__linq__17 varchar(8000),@p__linq__18 varchar(8000),@p__linq__19 varchar(8000),@p__linq__20 varchar(8000),@p__linq__21 varchar(8000),@p__linq__22 varchar(8000),@p__linq__23 varchar(8000),@p__linq__24 varchar(8000)',@p__linq__0=0,@p__linq__1='31555851-b89d-4a15-bb05-5a6fd42f9552',@p__linq__2='31555851-b89d-4a15-bb05-5a6fd42f9552',@p__linq__3='31555851-b89d-4a15-bb05-5a6fd42f9552',@p__linq__4='31555851-b89d-4a15-bb05-5a6fd42f9552',@p__linq__5=1,@p__linq__6=0,@p__linq__7='31555851-b89d-4a15-bb05-5a6fd42f9552',@p__linq__8='31555851-b89d-4a15-bb05-5a6fd42f9552',@p__linq__9='31555851-b89d-4a15-bb05-5a6fd42f9552',@p__linq__10='31555851-b89d-4a15-bb05-5a6fd42f9552',@p__linq__11='31555851-b89d-4a15-bb05-5a6fd42f9552',@p__linq__12='31555851-b89d-4a15-bb05-5a6fd42f9552',@p__linq__13='31555851-b89d-4a15-bb05-5a6fd42f9552',@p__linq__14='31555851-b89d-4a15-bb05-5a6fd42f9552',@p__linq__15='31555851-b89d-4a15-bb05-5a6fd42f9552',@p__linq__16='31555851-b89d-4a15-bb05-5a6fd42f9552',@p__linq__17='31555851-b89d-4a15-bb05-5a6fd42f9552',@p__linq__18='31555851-b89d-4a15-bb05-5a6fd42f9552',@p__linq__19='31555851-b89d-4a15-bb05-5a6fd42f9552',@p__linq__20='31555851-b89d-4a15-bb05-5a6fd42f9552',@p__linq__21='31555851-b89d-4a15-bb05-5a6fd42f9552',@p__linq__22='31555851-b89d-4a15-bb05-5a6fd42f9552',@p__linq__23='31555851-b89d-4a15-bb05-5a6fd42f9552',@p__linq__24='31555851-b89d-4a15-bb05-5a6fd42f9552'
    Generated DDL for related tables: (indexes are primary on PKs and FKs)
    CREATE TABLE [dbo].[CustomerUsers](
    [UserProviderKey] [varchar](184) NOT NULL,
    [CustomerId] [int] NOT NULL,
    [CanAccessOthersTickets] [bit] NOT NULL,
    CONSTRAINT [PK_dbo.CustomerUsers] PRIMARY KEY CLUSTERED
    [UserProviderKey] ASC
    )WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, IGNORE_DUP_KEY = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON) ON [PRIMARY]
    ) ON [PRIMARY]
    GO
    SET ANSI_PADDING OFF
    GO
    /****** Object: Table [dbo].[InternalGroupUsers] Script Date: 7.5.2014 8:39:38 ******/
    SET ANSI_NULLS ON
    GO
    SET QUOTED_IDENTIFIER ON
    GO
    SET ANSI_PADDING ON
    GO
    CREATE TABLE [dbo].[InternalGroupUsers](
    [UserProviderKey] [varchar](184) NOT NULL,
    [InternalGroupId] [int] NOT NULL,
    [CanAccessOthersTickets] [bit] NOT NULL,
    CONSTRAINT [PK_dbo.InternalGroupUsers] PRIMARY KEY CLUSTERED
    [UserProviderKey] ASC,
    [InternalGroupId] ASC
    )WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, IGNORE_DUP_KEY = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON) ON [PRIMARY]
    ) ON [PRIMARY]
    GO
    SET ANSI_PADDING OFF
    GO
    /****** Object: Table [dbo].[OperatorGroupUsers] Script Date: 7.5.2014 8:39:38 ******/
    SET ANSI_NULLS ON
    GO
    SET QUOTED_IDENTIFIER ON
    GO
    SET ANSI_PADDING ON
    GO
    CREATE TABLE [dbo].[OperatorGroupUsers](
    [UserProviderKey] [varchar](184) NOT NULL,
    [OperatorGroupId] [int] NOT NULL,
    CONSTRAINT [PK_dbo.OperatorGroupUsers] PRIMARY KEY CLUSTERED
    [UserProviderKey] ASC,
    [OperatorGroupId] ASC
    )WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, IGNORE_DUP_KEY = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON) ON [PRIMARY]
    ) ON [PRIMARY]
    GO
    SET ANSI_PADDING OFF
    GO
    /****** Object: Table [dbo].[ServiceDeputyManagers] Script Date: 7.5.2014 8:39:38 ******/
    SET ANSI_NULLS ON
    GO
    SET QUOTED_IDENTIFIER ON
    GO
    SET ANSI_PADDING ON
    GO
    CREATE TABLE [dbo].[ServiceDeputyManagers](
    [UserProviderKey] [varchar](184) NOT NULL,
    [ServiceId] [int] NOT NULL,
    [TicketType] [int] NOT NULL,
    CONSTRAINT [PK_dbo.ServiceDeputyManagers] PRIMARY KEY CLUSTERED
    [UserProviderKey] ASC,
    [ServiceId] ASC,
    [TicketType] ASC
    )WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, IGNORE_DUP_KEY = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON) ON [PRIMARY]
    ) ON [PRIMARY]
    GO
    SET ANSI_PADDING OFF
    GO
    /****** Object: Table [dbo].[ServiceOperatorGroups] Script Date: 7.5.2014 8:39:38 ******/
    SET ANSI_NULLS ON
    GO
    SET QUOTED_IDENTIFIER ON
    GO
    CREATE TABLE [dbo].[ServiceOperatorGroups](
    [ServiceId] [int] NOT NULL,
    [OperatorGroupId] [int] NOT NULL,
    [TicketTypeValue] [int] NOT NULL,
    [SupportLine] [int] NOT NULL,
    [TicketType] [int] NOT NULL,
    CONSTRAINT [PK_dbo.ServiceOperatorGroups] PRIMARY KEY CLUSTERED
    [ServiceId] ASC,
    [OperatorGroupId] ASC,
    [TicketTypeValue] ASC,
    [SupportLine] ASC
    )WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, IGNORE_DUP_KEY = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON) ON [PRIMARY]
    ) ON [PRIMARY]
    GO
    /****** Object: Table [dbo].[ServiceOperators] Script Date: 7.5.2014 8:39:38 ******/
    SET ANSI_NULLS ON
    GO
    SET QUOTED_IDENTIFIER ON
    GO
    SET ANSI_PADDING ON
    GO
    CREATE TABLE [dbo].[ServiceOperators](
    [UserProviderKey] [varchar](184) NOT NULL,
    [ServiceId] [int] NOT NULL,
    [TicketTypeValue] [int] NOT NULL,
    [SupportLine] [int] NOT NULL,
    [TicketType] [int] NOT NULL,
    CONSTRAINT [PK_dbo.ServiceOperators] PRIMARY KEY CLUSTERED
    [UserProviderKey] ASC,
    [ServiceId] ASC,
    [TicketTypeValue] ASC,
    [SupportLine] ASC
    )WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, IGNORE_DUP_KEY = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON) ON [PRIMARY]
    ) ON [PRIMARY]
    GO
    SET ANSI_PADDING OFF
    GO
    /****** Object: Table [dbo].[Services] Script Date: 7.5.2014 8:39:38 ******/
    SET ANSI_NULLS ON
    GO
    SET QUOTED_IDENTIFIER ON
    GO
    SET ANSI_PADDING ON
    GO
    CREATE TABLE [dbo].[Services](
    [Id] [int] IDENTITY(1,1) NOT NULL,
    [ParentId] [int] NULL,
    [Name] [nvarchar](256) NOT NULL,
    [Description] [nvarchar](max) NULL,
    [Disabled] [bit] NOT NULL,
    [NewTicketLimitedAccess] [bit] NOT NULL,
    [Incident1stLineSupportLimitedAccess] [bit] NOT NULL,
    [Incident2ndLineSupportLimitedAccess] [bit] NOT NULL,
    [ServiceRequestLimitedAccess] [bit] NOT NULL,
    [ProblemLimitedAccess] [bit] NOT NULL,
    [ServiceRequestManager] [varchar](184) NOT NULL,
    [IncidentManager] [varchar](184) NOT NULL,
    [ProblemManager] [varchar](184) NOT NULL,
    [Deleted] [bit] NOT NULL,
    [WfDisableIncidentAssignedState] [bit] NOT NULL,
    [WfDisableIncidentConfirmedState] [bit] NOT NULL,
    [WfDisableIncidentTakeFromQueueAction] [bit] NOT NULL,
    [WfDisableIncidentFinishSolutionAction] [bit] NOT NULL,
    [WfDisableServiceRequestAssignedState] [bit] NOT NULL,
    [WfDisableServiceRequestConfirmedState] [bit] NOT NULL,
    [WfDisableServiceRequestTakeFromQueueAction] [bit] NOT NULL,
    [WfDisableServiceRequestFinishSolutionAction] [bit] NOT NULL,
    [WfDisableServiceRequestPostponeAction] [bit] NOT NULL,
    [ChangeLimitedAccess] [bit] NOT NULL,
    [ChangeManager] [varchar](184) NOT NULL,
    [WfDisableChangeTakeFromQueueAction] [bit] NOT NULL,
    [WfDisableChangeAssignedState] [bit] NOT NULL,
    [WfDisableChangeStartPreparationAction] [bit] NOT NULL,
    [IsDepartment] [bit] NOT NULL,
    [InheritsFromDepartment] [bit] NOT NULL,
    [AllowSelectSolverBySubmitterForIncidents] [bit] NOT NULL,
    [AllowSelectSolverBySubmitterForServiceRequests] [bit] NOT NULL,
    [AllowSelectSolverBySubmitterForProblems] [bit] NOT NULL,
    [AllowSelectSolverBySubmitterForChanges] [bit] NOT NULL,
    [AllowAccessToOtherOperatorsIncidents] [bit] NOT NULL,
    [AllowAccessToOtherOperatorsServiceRequests] [bit] NOT NULL,
    [AllowAccessToOtherOperatorsProblems] [bit] NOT NULL,
    [AllowAccessToOtherOperatorsChanges] [bit] NOT NULL,
    [AllowChangeDeadlineForIncidents] [bit] NOT NULL,
    [AllowChangeDeadlineForServiceRequests] [bit] NOT NULL,
    [AllowChangeDeadlineForProblems] [bit] NOT NULL,
    [AllowChangeDeadlineForChanges] [bit] NOT NULL,
    [AllowSelectPriorityForServiceRequests] [bit] NOT NULL,
    [WfDisableIncidentCompletedState] [bit] NOT NULL,
    [WfDoIncidentCompleteActionBySubmittersMessage] [bit] NOT NULL,
    [WfDisableServiceRequestCompletedState] [bit] NOT NULL,
    [WfDoServiceRequestCompleteActionBySubmittersMessage] [bit] NOT NULL,
    CONSTRAINT [PK_dbo.Services] PRIMARY KEY CLUSTERED
    [Id] ASC
    )WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, IGNORE_DUP_KEY = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON) ON [PRIMARY]
    ) ON [PRIMARY] TEXTIMAGE_ON [PRIMARY]
    GO
    SET ANSI_PADDING OFF
    GO
    /****** Object: Table [dbo].[TicketInvitations] Script Date: 7.5.2014 8:39:38 ******/
    SET ANSI_NULLS ON
    GO
    SET QUOTED_IDENTIFIER ON
    GO
    SET ANSI_PADDING ON
    GO
    CREATE TABLE [dbo].[TicketInvitations](
    [Id] [int] IDENTITY(1,1) NOT NULL,
    [TicketId] [int] NOT NULL,
    [InitiatorUserProviderKey] [varchar](184) NULL,
    [InitiatorFullName] [nvarchar](max) NULL,
    [InvitedUserProviderKey] [varchar](184) NULL,
    [InvitedFullName] [nvarchar](max) NULL,
    [Type] [int] NOT NULL,
    [CreatedUTC] [datetime] NOT NULL,
    CONSTRAINT [PK_dbo.TicketInvitations] PRIMARY KEY CLUSTERED
    [Id] ASC
    )WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, IGNORE_DUP_KEY = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON) ON [PRIMARY]
    ) ON [PRIMARY] TEXTIMAGE_ON [PRIMARY]
    GO
    SET ANSI_PADDING OFF
    GO
    /****** Object: Table [dbo].[Tickets] Script Date: 7.5.2014 8:39:38 ******/
    SET ANSI_NULLS ON
    GO
    SET QUOTED_IDENTIFIER ON
    GO
    SET ANSI_PADDING ON
    GO
    CREATE TABLE [dbo].[Tickets](
    [Id] [int] IDENTITY(1,1) NOT NULL,
    [ParentId] [int] NULL,
    [ServiceId] [int] NULL,
    [ServiceMailboxId] [int] NULL,
    [TicketTypeValue] [int] NOT NULL,
    [TicketTypeIdREF] [int] NOT NULL,
    [SubmitterKey] [varchar](184) NOT NULL,
    [SubmitterFullName] [nvarchar](256) NULL,
    [CustomerId] [int] NULL,
    [SolverKey] [varchar](184) NULL,
    [SolverFullName] [nvarchar](256) NULL,
    [Subject] [nvarchar](max) NULL,
    [CreatedUTC] [datetime] NOT NULL,
    [Archived] [bit] NOT NULL,
    [MarkedAsSolvedUTC] [datetime] NULL,
    [ArchivedUTC] [datetime] NULL,
    [TicketSourceValue] [int] NOT NULL,
    [OperatorKey] [varchar](184) NULL,
    [DeadlineUTC] [datetime] NULL,
    [DeadlineLastNotificatedPercentage] [int] NULL,
    [UrgencyValue] [int] NULL,
    [ImpactValue] [int] NULL,
    [PriorityValue] [int] NULL,
    [TicketStateValue] [int] NOT NULL,
    [IncidentFunctionEscalatedTo2ndLineSupport] [bit] NOT NULL,
    [Incident2ndLineSupportKey] [varchar](184) NULL,
    [Incident2ndLineSupportFullName] [nvarchar](max) NULL,
    [TicketType] [int] NOT NULL,
    [Source] [int] NOT NULL,
    [TicketState] [int] NOT NULL,
    [Urgency] [int] NULL,
    [Impact] [int] NULL,
    [TicketSummaryState] [int] NOT NULL,
    [ResolutionText] [nvarchar](max) NULL,
    [ResolutionModifiedUTC] [datetime] NULL,
    [ResolutionEdited] [bit] NOT NULL,
    [ResolutionUserProviderKey] [varchar](184) NULL,
    [ResolutionFullName] [nvarchar](max) NULL,
    [TicketSubType] [int] NULL,
    [ChangeRiskProbabilityValue] [int] NULL,
    [ChangeImpactValue] [int] NULL,
    [ChangeRiskCategoryValue] [int] NULL,
    [RfcText] [nvarchar](max) NULL,
    [RfcModifiedUTC] [datetime] NULL,
    [RfcEdited] [bit] NOT NULL,
    [RfcUserProviderKey] [varchar](184) NULL,
    [RfcFullName] [nvarchar](max) NULL,
    [ManualDeadline] [bit] NOT NULL,
    [ContactInformation] [nvarchar](256) NULL,
    [Imported] [bit] NOT NULL,
    [ForceClosed] [bit] NOT NULL,
    CONSTRAINT [PK_dbo.Tickets] PRIMARY KEY CLUSTERED
    [Id] ASC
    )WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, IGNORE_DUP_KEY = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON) ON [PRIMARY]
    ) ON [PRIMARY] TEXTIMAGE_ON [PRIMARY]
    GO
    SET ANSI_PADDING OFF
    GO
    /****** Object: Index [IX_CustomerId] Script Date: 7.5.2014 8:39:38 ******/
    CREATE NONCLUSTERED INDEX [IX_CustomerId] ON [dbo].[CustomerUsers]
    [CustomerId] ASC
    )WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, SORT_IN_TEMPDB = OFF, DROP_EXISTING = OFF, ONLINE = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON) ON [PRIMARY]
    GO
    /****** Object: Index [IX_InternalGroupId] Script Date: 7.5.2014 8:39:38 ******/
    CREATE NONCLUSTERED INDEX [IX_InternalGroupId] ON [dbo].[InternalGroupUsers]
    [InternalGroupId] ASC
    )WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, SORT_IN_TEMPDB = OFF, DROP_EXISTING = OFF, ONLINE = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON) ON [PRIMARY]
    GO
    /****** Object: Index [IX_OperatorGroupId] Script Date: 7.5.2014 8:39:38 ******/
    CREATE NONCLUSTERED INDEX [IX_OperatorGroupId] ON [dbo].[OperatorGroupUsers]
    [OperatorGroupId] ASC
    )WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, SORT_IN_TEMPDB = OFF, DROP_EXISTING = OFF, ONLINE = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON) ON [PRIMARY]
    GO
    /****** Object: Index [IX_ServiceId] Script Date: 7.5.2014 8:39:38 ******/
    CREATE NONCLUSTERED INDEX [IX_ServiceId] ON [dbo].[ServiceDeputyManagers]
    [ServiceId] ASC
    )WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, SORT_IN_TEMPDB = OFF, DROP_EXISTING = OFF, ONLINE = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON) ON [PRIMARY]
    GO
    /****** Object: Index [IX_OperatorGroupId] Script Date: 7.5.2014 8:39:38 ******/
    CREATE NONCLUSTERED INDEX [IX_OperatorGroupId] ON [dbo].[ServiceOperatorGroups]
    [OperatorGroupId] ASC
    )WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, SORT_IN_TEMPDB = OFF, DROP_EXISTING = OFF, ONLINE = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON) ON [PRIMARY]
    GO
    /****** Object: Index [IX_ServiceId] Script Date: 7.5.2014 8:39:38 ******/
    CREATE NONCLUSTERED INDEX [IX_ServiceId] ON [dbo].[ServiceOperatorGroups]
    [ServiceId] ASC
    )WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, SORT_IN_TEMPDB = OFF, DROP_EXISTING = OFF, ONLINE = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON) ON [PRIMARY]
    GO
    /****** Object: Index [IX_ServiceId] Script Date: 7.5.2014 8:39:38 ******/
    CREATE NONCLUSTERED INDEX [IX_ServiceId] ON [dbo].[ServiceOperators]
    [ServiceId] ASC
    )WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, SORT_IN_TEMPDB = OFF, DROP_EXISTING = OFF, ONLINE = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON) ON [PRIMARY]
    GO
    /****** Object: Index [IX_ParentId] Script Date: 7.5.2014 8:39:38 ******/
    CREATE NONCLUSTERED INDEX [IX_ParentId] ON [dbo].[Services]
    [ParentId] ASC
    )WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, SORT_IN_TEMPDB = OFF, DROP_EXISTING = OFF, ONLINE = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON) ON [PRIMARY]
    GO
    /****** Object: Index [IX_TicketId] Script Date: 7.5.2014 8:39:38 ******/
    CREATE NONCLUSTERED INDEX [IX_TicketId] ON [dbo].[TicketInvitations]
    [TicketId] ASC
    )WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, SORT_IN_TEMPDB = OFF, DROP_EXISTING = OFF, ONLINE = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON) ON [PRIMARY]
    GO
    SET ANSI_PADDING ON
    GO
    /****** Object: Index [IX_TicketInvitations_InvitedUserProviderKey_TicketId] Script Date: 7.5.2014 8:39:38 ******/
    CREATE UNIQUE NONCLUSTERED INDEX [IX_TicketInvitations_InvitedUserProviderKey_TicketId] ON [dbo].[TicketInvitations]
    [InvitedUserProviderKey] ASC,
    [TicketId] ASC
    )WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, SORT_IN_TEMPDB = OFF, IGNORE_DUP_KEY = OFF, DROP_EXISTING = OFF, ONLINE = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON) ON [PRIMARY]
    GO
    /****** Object: Index [IX_CustomerId] Script Date: 7.5.2014 8:39:38 ******/
    CREATE NONCLUSTERED INDEX [IX_CustomerId] ON [dbo].[Tickets]
    [CustomerId] ASC
    )WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, SORT_IN_TEMPDB = OFF, DROP_EXISTING = OFF, ONLINE = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON) ON [PRIMARY]
    GO
    /****** Object: Index [IX_ParentId] Script Date: 7.5.2014 8:39:38 ******/
    CREATE NONCLUSTERED INDEX [IX_ParentId] ON [dbo].[Tickets]
    [ParentId] ASC
    )WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, SORT_IN_TEMPDB = OFF, DROP_EXISTING = OFF, ONLINE = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON) ON [PRIMARY]
    GO
    /****** Object: Index [IX_ServiceId] Script Date: 7.5.2014 8:39:38 ******/
    CREATE NONCLUSTERED INDEX [IX_ServiceId] ON [dbo].[Tickets]
    [ServiceId] ASC
    )WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, SORT_IN_TEMPDB = OFF, DROP_EXISTING = OFF, ONLINE = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON) ON [PRIMARY]
    GO
    /****** Object: Index [IX_ServiceMailboxId] Script Date: 7.5.2014 8:39:38 ******/
    CREATE NONCLUSTERED INDEX [IX_ServiceMailboxId] ON [dbo].[Tickets]
    [ServiceMailboxId] ASC
    )WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, SORT_IN_TEMPDB = OFF, DROP_EXISTING = OFF, ONLINE = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON) ON [PRIMARY]
    GO
    SET ANSI_PADDING ON
    GO
    /****** Object: Index [IX_SolverFullName] Script Date: 7.5.2014 8:39:38 ******/
    CREATE NONCLUSTERED INDEX [IX_SolverFullName] ON [dbo].[Tickets]
    [SolverFullName] ASC
    )WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, SORT_IN_TEMPDB = OFF, DROP_EXISTING = OFF, ONLINE = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON) ON [PRIMARY]
    GO
    SET ANSI_PADDING ON
    GO
    /****** Object: Index [IX_SolverKey] Script Date: 7.5.2014 8:39:38 ******/
    CREATE NONCLUSTERED INDEX [IX_SolverKey] ON [dbo].[Tickets]
    [SolverKey] ASC
    )WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, SORT_IN_TEMPDB = OFF, DROP_EXISTING = OFF, ONLINE = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON) ON [PRIMARY]
    GO
    SET ANSI_PADDING ON
    GO
    /****** Object: Index [IX_SubmitterFullName] Script Date: 7.5.2014 8:39:38 ******/
    CREATE NONCLUSTERED INDEX [IX_SubmitterFullName] ON [dbo].[Tickets]
    [SubmitterFullName] ASC
    )WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, SORT_IN_TEMPDB = OFF, DROP_EXISTING = OFF, ONLINE = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON) ON [PRIMARY]
    GO
    SET ANSI_PADDING ON
    GO
    /****** Object: Index [IX_SubmitterKey] Script Date: 7.5.2014 8:39:38 ******/
    CREATE NONCLUSTERED INDEX [IX_SubmitterKey] ON [dbo].[Tickets]
    [SubmitterKey] ASC
    )WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, SORT_IN_TEMPDB = OFF, DROP_EXISTING = OFF, ONLINE = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON) ON [PRIMARY]
    GO
    /****** Object: Index [IX_Tickets_TicketType_TicketTypeIdREF] Script Date: 7.5.2014 8:39:38 ******/
    CREATE UNIQUE NONCLUSTERED INDEX [IX_Tickets_TicketType_TicketTypeIdREF] ON [dbo].[Tickets]
    [TicketType] ASC,
    [TicketTypeIdREF] ASC
    )WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, SORT_IN_TEMPDB = OFF, IGNORE_DUP_KEY = OFF, DROP_EXISTING = OFF, ONLINE = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON) ON [PRIMARY]
    GO
    ALTER TABLE [dbo].[CustomerUsers] WITH CHECK ADD CONSTRAINT [FK_dbo.CustomerUsers_dbo.Customers_CustomerId] FOREIGN KEY([CustomerId])
    REFERENCES [dbo].[Customers] ([Id])
    ON DELETE CASCADE
    GO
    ALTER TABLE [dbo].[CustomerUsers] CHECK CONSTRAINT [FK_dbo.CustomerUsers_dbo.Customers_CustomerId]
    GO
    ALTER TABLE [dbo].[InternalGroupUsers] WITH CHECK ADD CONSTRAINT [FK_dbo.InternalGroupUsers_dbo.InternalGroups_InternalGroupId] FOREIGN KEY([InternalGroupId])
    REFERENCES [dbo].[InternalGroups] ([Id])
    ON DELETE CASCADE
    GO
    ALTER TABLE [dbo].[InternalGroupUsers] CHECK CONSTRAINT [FK_dbo.InternalGroupUsers_dbo.InternalGroups_InternalGroupId]
    GO
    ALTER TABLE [dbo].[OperatorGroupUsers] WITH CHECK ADD CONSTRAINT [FK_dbo.OperatorGroupUsers_dbo.OperatorGroups_OperatorGroupId] FOREIGN KEY([OperatorGroupId])
    REFERENCES [dbo].[OperatorGroups] ([Id])
    ON DELETE CASCADE
    GO
    ALTER TABLE [dbo].[OperatorGroupUsers] CHECK CONSTRAINT [FK_dbo.OperatorGroupUsers_dbo.OperatorGroups_OperatorGroupId]
    GO
    ALTER TABLE [dbo].[ServiceDeputyManagers] WITH CHECK ADD CONSTRAINT [FK_dbo.ServiceDeputyManagers_dbo.Services_ServiceId] FOREIGN KEY([ServiceId])
    REFERENCES [dbo].[Services] ([Id])
    ON DELETE CASCADE
    GO
    ALTER TABLE [dbo].[ServiceDeputyManagers] CHECK CONSTRAINT [FK_dbo.ServiceDeputyManagers_dbo.Services_ServiceId]
    GO
    ALTER TABLE [dbo].[ServiceOperatorGroups] WITH CHECK ADD CONSTRAINT [FK_dbo.ServiceOperatorGroups_dbo.OperatorGroups_OperatorGroupId] FOREIGN KEY([OperatorGroupId])
    REFERENCES [dbo].[OperatorGroups] ([Id])
    ON DELETE CASCADE
    GO
    ALTER TABLE [dbo].[ServiceOperatorGroups] CHECK CONSTRAINT [FK_dbo.ServiceOperatorGroups_dbo.OperatorGroups_OperatorGroupId]
    GO
    ALTER TABLE [dbo].[ServiceOperatorGroups] WITH CHECK ADD CONSTRAINT [FK_dbo.ServiceOperatorGroups_dbo.Services_ServiceId] FOREIGN KEY([ServiceId])
    REFERENCES [dbo].[Services] ([Id])
    ON DELETE CASCADE
    GO
    ALTER TABLE [dbo].[ServiceOperatorGroups] CHECK CONSTRAINT [FK_dbo.ServiceOperatorGroups_dbo.Services_ServiceId]
    GO
    ALTER TABLE [dbo].[ServiceOperators] WITH CHECK ADD CONSTRAINT [FK_dbo.ServiceOperators_dbo.Services_ServiceId] FOREIGN KEY([ServiceId])
    REFERENCES [dbo].[Services] ([Id])
    ON DELETE CASCADE
    GO
    ALTER TABLE [dbo].[ServiceOperators] CHECK CONSTRAINT [FK_dbo.ServiceOperators_dbo.Services_ServiceId]
    GO
    ALTER TABLE [dbo].[Services] WITH CHECK ADD CONSTRAINT [FK_dbo.Services_dbo.Services_ParentId] FOREIGN KEY([ParentId])
    REFERENCES [dbo].[Services] ([Id])
    GO
    ALTER TABLE [dbo].[Services] CHECK CONSTRAINT [FK_dbo.Services_dbo.Services_ParentId]
    GO
    ALTER TABLE [dbo].[TicketInvitations] WITH CHECK ADD CONSTRAINT [FK_dbo.TicketInvitations_dbo.Tickets_TicketId] FOREIGN KEY([TicketId])
    REFERENCES [dbo].[Tickets] ([Id])
    ON DELETE CASCADE
    GO
    ALTER TABLE [dbo].[TicketInvitations] CHECK CONSTRAINT [FK_dbo.TicketInvitations_dbo.Tickets_TicketId]
    GO
    ALTER TABLE [dbo].[Tickets] WITH CHECK ADD CONSTRAINT [FK_dbo.Tickets_dbo.Customers_CustomerId] FOREIGN KEY([CustomerId])
    REFERENCES [dbo].[Customers] ([Id])
    GO
    ALTER TABLE [dbo].[Tickets] CHECK CONSTRAINT [FK_dbo.Tickets_dbo.Customers_CustomerId]
    GO
    ALTER TABLE [dbo].[Tickets] WITH CHECK ADD CONSTRAINT [FK_dbo.Tickets_dbo.ServiceMailboxes_ServiceMailboxId] FOREIGN KEY([ServiceMailboxId])
    REFERENCES [dbo].[ServiceMailboxes] ([Id])
    GO
    ALTER TABLE [dbo].[Tickets] CHECK CONSTRAINT [FK_dbo.Tickets_dbo.ServiceMailboxes_ServiceMailboxId]
    GO
    ALTER TABLE [dbo].[Tickets] WITH CHECK ADD CONSTRAINT [FK_dbo.Tickets_dbo.Services_ServiceId] FOREIGN KEY([ServiceId])
    REFERENCES [dbo].[Services] ([Id])
    GO
    ALTER TABLE [dbo].[Tickets] CHECK CONSTRAINT [FK_dbo.Tickets_dbo.Services_ServiceId]
    GO
    ALTER TABLE [dbo].[Tickets] WITH CHECK ADD CONSTRAINT [FK_dbo.Tickets_dbo.Tickets_ParentId] FOREIGN KEY([ParentId])
    REFERENCES [dbo].[Tickets] ([Id])
    GO
    ALTER TABLE [dbo].[Tickets] CHECK CONSTRAINT [FK_dbo.Tickets_dbo.Tickets_ParentId]
    GO

  • SQL Performance issue: Using user defined function with group by

    Hi Everyone,
    im new here and I really could need some help on a weird performance issue. I hope this is the right topic for SQL performance issues.
    Well ok, i create a function for converting a date from timezone GMT to a specified timzeone.
    CREATE OR REPLACE FUNCTION I3S_REP_1.fnc_user_rep_date_to_local (date_in IN date, tz_name_in IN VARCHAR2) RETURN date
    IS
    tz_name VARCHAR2(100);
    date_out date;
    BEGIN
    SELECT
    to_date(to_char(cast(from_tz(cast( date_in AS TIMESTAMP),'GMT')AT
    TIME ZONE (tz_name_in) AS DATE),'dd-mm-yyyy hh24:mi:ss'),'dd-mm-yyyy hh24:mi:ss')
    INTO date_out
    FROM dual;
    RETURN date_out;
    END fnc_user_rep_date_to_local;The following statement is just an example, the real statement is much more complex. So I select some date values from a table and aggregate a little.
    select
    stp_end_stamp,
    count(*) noi
    from step
    where
    stp_end_stamp
    BETWEEN
    to_date('23-05-2009 00:00:00','dd-mm-yyyy hh24:mi:ss')      
    AND
    to_date('23-07-2009 00:00:00','dd-mm-yyyy hh24:mi:ss')
    group by
    stp_end_stampThis statement selects ~70000 rows and needs ~ 70ms
    If i use the function it selects the same number of rows ;-) and takes ~ 4 sec ...
    select
    fnc_user_rep_date_to_local(stp_end_stamp,'Europe/Berlin'),
    count(*) noi
    from step
    where
    stp_end_stamp
    BETWEEN
    to_date('23-05-2009 00:00:00','dd-mm-yyyy hh24:mi:ss')      
    AND
    to_date('23-07-2009 00:00:00','dd-mm-yyyy hh24:mi:ss')
    group by
    fnc_user_rep_date_to_local(stp_end_stamp,'Europe/Berlin')I understand that the DB has to execute the function for each row.
    But if I execute the following statement, it takes only ~90ms ...
    select
    fnc_user_rep_date_to_gmt(stp_end_stamp,'Europe/Berlin','ny21654'),
    noi
    from
    select
    stp_end_stamp,
    count(*) noi
    from step
    where
    stp_end_stamp
    BETWEEN
    to_date('23-05-2009 00:00:00','dd-mm-yyyy hh24:mi:ss')      
    AND
    to_date('23-07-2009 00:00:00','dd-mm-yyyy hh24:mi:ss')
    group by
    stp_end_stamp
    )The execution plan for all three statements is EXACTLY the same!!!
    Usually i would say, that I use the third statement and the world is in order. BUT I'm working on a BI project with a tool called Business Objects and it generates SQL, so my hands are bound and I can't make this tool to generate the SQL as a subselect.
    My questions are:
    Why is the second statement sooo much slower than the third?
    and
    Howcan I force the optimizer to do whatever he is doing to make the third statement so fast?
    I would really appreciate some help on this really weird issue.
    Thanks in advance,
    Andi

    Hi,
    The execution plan for all three statements is EXACTLY the same!!!Not exactly. Plans are the same - true. They uses slightly different approach to call function. See:
    drop table t cascade constraints purge;
    create table t as select mod(rownum,10) id, cast('x' as char(500)) pad from dual connect by level <= 10000;
    exec dbms_stats.gather_table_stats(user, 't');
    create or replace function test_fnc(p_int number) return number is
    begin
        return trunc(p_int);
    end;
    explain plan for select id from t group by id;
    select * from table(dbms_xplan.display(null,null,'advanced'));
    explain plan for select test_fnc(id) from t group by test_fnc(id);
    select * from table(dbms_xplan.display(null,null,'advanced'));
    explain plan for select test_fnc(id) from (select id from t group by id);
    select * from table(dbms_xplan.display(null,null,'advanced'));Output:
    PLAN_TABLE_OUTPUT
    Plan hash value: 47235625
    | Id  | Operation          | Name | Rows  | Bytes | Cost (%CPU)| Time     |
    |   0 | SELECT STATEMENT   |      |    10 |    30 |   162   (3)| 00:00:02 |
    |   1 |  HASH GROUP BY     |      |    10 |    30 |   162   (3)| 00:00:02 |
    |   2 |   TABLE ACCESS FULL| T    | 10000 | 30000 |   159   (1)| 00:00:02 |
    Query Block Name / Object Alias (identified by operation id):
       1 - SEL$1
       2 - SEL$1 / T@SEL$1
    Outline Data
      /*+
          BEGIN_OUTLINE_DATA
          FULL(@"SEL$1" "T"@"SEL$1")
          OUTLINE_LEAF(@"SEL$1")
          ALL_ROWS
          OPTIMIZER_FEATURES_ENABLE('10.2.0.4')
          IGNORE_OPTIM_EMBEDDED_HINTS
          END_OUTLINE_DATA
    Column Projection Information (identified by operation id):
       1 - (#keys=1) "ID"[NUMBER,22]
       2 - "ID"[NUMBER,22]
    34 rows selected.
    SQL>
    Explained.
    SQL>
    PLAN_TABLE_OUTPUT
    Plan hash value: 47235625
    | Id  | Operation          | Name | Rows  | Bytes | Cost (%CPU)| Time     |
    |   0 | SELECT STATEMENT   |      |    10 |    30 |   162   (3)| 00:00:02 |
    |   1 |  HASH GROUP BY     |      |    10 |    30 |   162   (3)| 00:00:02 |
    |   2 |   TABLE ACCESS FULL| T    | 10000 | 30000 |   159   (1)| 00:00:02 |
    Query Block Name / Object Alias (identified by operation id):
       1 - SEL$1
       2 - SEL$1 / T@SEL$1
    Outline Data
      /*+
          BEGIN_OUTLINE_DATA
          FULL(@"SEL$1" "T"@"SEL$1")
          OUTLINE_LEAF(@"SEL$1")
          ALL_ROWS
          OPTIMIZER_FEATURES_ENABLE('10.2.0.4')
          IGNORE_OPTIM_EMBEDDED_HINTS
          END_OUTLINE_DATA
    Column Projection Information (identified by operation id):
       1 - (#keys=1) "TEST_FNC"("ID")[22]
       2 - "ID"[NUMBER,22]
    34 rows selected.
    SQL>
    Explained.
    SQL> select * from table(dbms_xplan.display(null,null,'advanced'));
    PLAN_TABLE_OUTPUT
    Plan hash value: 47235625
    | Id  | Operation          | Name | Rows  | Bytes | Cost (%CPU)| Time     |
    |   0 | SELECT STATEMENT   |      |    10 |    30 |   162   (3)| 00:00:02 |
    |   1 |  HASH GROUP BY     |      |    10 |    30 |   162   (3)| 00:00:02 |
    |   2 |   TABLE ACCESS FULL| T    | 10000 | 30000 |   159   (1)| 00:00:02 |
    Query Block Name / Object Alias (identified by operation id):
       1 - SEL$F5BB74E1
       2 - SEL$F5BB74E1 / T@SEL$2
    Outline Data
      /*+
          BEGIN_OUTLINE_DATA
          FULL(@"SEL$F5BB74E1" "T"@"SEL$2")
          OUTLINE(@"SEL$2")
          OUTLINE(@"SEL$1")
          MERGE(@"SEL$2")
          OUTLINE_LEAF(@"SEL$F5BB74E1")
          ALL_ROWS
          OPTIMIZER_FEATURES_ENABLE('10.2.0.4')
          IGNORE_OPTIM_EMBEDDED_HINTS
          END_OUTLINE_DATA
    Column Projection Information (identified by operation id):
       1 - (#keys=1) "ID"[NUMBER,22]
       2 - "ID"[NUMBER,22]
    37 rows selected.

  • Performance issue while wrapping the sql in pl/sql block

    Hi All,
    I am facing performance issue in a query while wrapping the sql in pl/sql block.
    I have a complex view. while quering the view using
    Select * from v_csp_tabs(Name of View I am using), it is taking 10 second to fetch 50,000 records.
    But when I am using some conditions on the view, Like
    Select * from v_csp_tabs where clientid = 500006 and programid = 1 and vendorid = 1, it is taking more then 250 secs. to return the result set.
    now the weird part is this is happening only for one programID, that is 1
    I am using Oracle Database 11g Enterprise Edition Release 11.1.0.7.0 - 64bit Production
    Any one please suggest what are the things i need to check..
    I am sorry, I could not provide you the explain plan, because this is in production and I do not have enough prevelage.
    Thank you in advance.
    Thnx,
    Bits

    Bits wrote:
    I have a complex view. while quering the view using
    Select * from v_csp_tabs(Name of View I am using), it is taking 10 second to fetch 50,000 records.
    But when I am using some conditions on the view, Like
    Select * from v_csp_tabs where clientid = 500006 and programid = 1 and vendorid = 1, it is taking more then 250 secs. to return the result set.That's one problem with views - you never know how they will be used in the future, nor what performance implications variant uses can have.
    >
    now the weird part is this is happening only for one programID, that is 1
    Any one please suggest what are the things i need to check..
    I am sorry, I could not provide you the explain plan, because this is in production and I do not have enough prevelage.I understand what you are saying - I have worked at similar sites. HiddenName is correct in suggesting that you need to get execution plans but sometimes getting privileges from the DBA group is simply Not Going To Happen. Its wrong but that's the way it is. Follow through on HiddenName's suggested to get help from somebody who has the privleges needed
    Post the query that view view is executing. Desk checking a query is NOT ideal but is one thing we can do.
    I don't suppose you can see V$ views on production - V$SQL and V$SQL_PLAN (probably not if you can't generate plans, but its worth a thought)

  • SQL Services 2012 Reporting Services Performance Issue - PowerView

    Power view Reports are loading very slow while opening in SharePoint 2013, it is taking more than 15 secs. It is development environment, maximum 10 users , no traffic at all but still not sure why it is taking such long time.
    We have 2 servers in SharePoint farm one is for SharePoint and other is for SQL. I have gone through the logs in reporting database, attached the same below. Can you please help me what we can say from the sheet attached ,whether it is slow or fast. Or where
    we are having issue.
    SQL server version is SQL 2012 SP2.
    SharePoint 2013 is RTM.
    Gone through the below blogs but no luck.
    http://blogs.msdn.com/b/psssql/archive/2013/07/29/tracking-down-power-view-performance-problems.aspx
    https://social.msdn.microsoft.com/Forums/sqlserver/en-US/4ed01ff4-139a-4eb3-9e2e-df12a9c316ff/ssrs-2008-r2-and-sharepoint-2010-performance-problems
    Thanks.
    Thanks, Ram Ch

    Hi Ram Ch,
    According to your description, your have performance issue when running your Power View report. Right?
    In this scenario, based on your screenshot, it takes long time on data retrieval. How is the performance when executing the query in SQL Server Management Studio? Since you mention there's no traffic at all and 15 seconds will not cause query
    time out, we suggest you optimize the query for retrieving data. Please refer to links below:
    Troubleshooting Reports: Report Performance
    Please share some detail information about the data query if possible. Thanks.
    Best Regards,
    Simon Hou

  • Performance issue with using MAX function in pl/sql

    Hello All,
    We are having a performance issue with the below logic wherein MAX is being used in order to get the latest instance/record for a given input variable ( p_in_header_id).. the item_key is having the format as :
    p_in_header_id - <number generated from a sequence>
    This query to fetch even 1 record takes around 1 minutes 30 sec..could someone please help if there is a better way to form this logic & to improve performance in this case.
    We want to get the latest record for the item_key ( this we are getting using MAX (begin_date)) for a given p_in_header_id value.
    Query 1 :
    SELECT item_key FROM wf_items WHERE item_type = 'xxxxzzzz'
    AND SUBSTR (item_key, 1, INSTR (item_key, '-') - 1) =p_in_header_id
    AND root_activity ='START_REQUESTS'
    AND begin_date =
    (SELECT MAX (begin_date) FROM wf_items WHERE item_type = 'xxxxzzzz'
    AND root_activity ='START_REQUESTS'
    AND SUBSTR (item_key, 1, INSTR (item_key, '-') - 1) =p_in_header_id);
    Could someone please help us with this performance issue..we are really stuck because of this
    regards

    First of all Thanks to all gentlemen who replied ..many thanks ...
    Tried the ROW_NUMBER() option but still it is taking time...have given output for the query and tkprof results as well. Even when it doesn't fetch any record ( this is a valid cased because the input header id doesn't have any workflow request submitted & hence no entry in the wf_items table)..then also see the time it has taken.
    Looked at the RANK & DENSE_RANK options which were suggested..but it is still taking time..
    Any further suggestions or ideas as to how this could be resolved..
    SELECT 'Y', 'Y', ITEM_KEY
    FROM
    ( SELECT ITEM_KEY, ROW_NUMBER() OVER(ORDER BY BEGIN_DATE DESC) RN FROM
    WF_ITEMS WHERE ITEM_TYPE = 'xxxxzzzz' AND ROOT_ACTIVITY = 'START_REQUESTS'
    AND SUBSTR(ITEM_KEY,1,INSTR(ITEM_KEY,'-') - 1) = :B1
    ) T WHERE RN <= 1
    call count cpu elapsed disk query current rows
    Parse 0 0.00 0.00 0 0 0 0
    Execute 1 0.00 1.57 0 0 0 0
    Fetch 1 8700.00 544968.73 8180 8185 0 0
    total 2 8700.00 544970.30 8180 8185 0 0
    many thanks

  • SQLs erver migration performance issue

    We are performing migration from oracle to MSSQL server 2005 (Windows 2003/SAP 4.6D).Our target system configuration is like below:
    ->OS - Windows 2003 x64
    ->DB - MSSQL server 2005 SP4
    ->SAP - 4.6 D kernel
    ->CPU - 4 processors (2.67ghz each)
    ->RAM - 16 GB
    ->source system DB size - around 1 TB and package splitting was implemented.
    While importing the export dump that came from source system, we are facing load performance issue's.
    1) We have started 10 parallel processes and after import is started, CPU is getting 95% to 99% utilized and when we check SQL server studio-> Activity monitor we  found below information:
    -There were around 20 processes are in status sleeping
    -Only one or two system processes are running with commands - INSERT,SELECT INTO commands ( column)
    -At any point of time only two processes are running and CPU utilization is hitting high.
    -Import is very slow and its taking 35 hours to complete
    We have followed few SAP notes(1054852,1241751 e.tc..) and below are the settings for SQL server:
    -Minimum server memory - 5 GB
    - Maximum server memory - 5 GB
    - index creation memory - 0
    - Maximum memory per query - 1024 kb
    - Maximum degree of parellelism - 1
    - Parallellism locks - 0
    - Cost threshold of parellism - 5
    - Enabled trace flags - 610,620,1117,1211,3917
    - Windows environment variable BCP_BATCH_SIZE = 10000
    - SQL log file size - 100 GB
    - tempdb size - 20 GB
    2) When we tried another test import after tuning parameters (Maximum degree of parellelism to 3) and increasing r3load parallel processes to 20, we found  of inserts
    are overflowing in process list and blocking other waiting processes and putting them in suspended mode.CPU utilization is at 80%
    Are there any SQL server parameters need to be tuned to fix this import load time issue in both scenarios? Are there any  best practises for migrating to SQL server?
    Thanks..

    > 1) We have started 10 parallel processes and after import is started, CPU is getting 95% to 99% utilized and when we check SQL server studio-> Activity monitor we  found below information:
    What processes is using the CPU? The SQL Server itself or others? (see task manager)
    > -Minimum server memory - 5 GB
    > - Maximum server memory - 5 GB
    For the time of the migration itself I'd give the database more memory (10 GB or more) and reconfigure later when the import is done.
    What parameters do you use for the R3load? I'd recommend
    -loadprocedure fast -merge_bck -c 10000
    and also set
    BCP_LOB=1 in the environment.
    Markus

  • SQL query performance issues.

    Hi All,
    I worked on the query a month ago and the fix worked for me in test intance but failed in production. Following is the URL for the previous thread.
    SQL query performance issues.
    Following is the tkprof file.
    CURSOR_ID:76  LENGTH:2383  ADDRESS:f6b40ab0  HASH_VALUE:2459471753  OPTIMIZER_GOAL:ALL_ROWS  USER_ID:443 (APPS)
    insert into cos_temp(
    TRX_DATE, DEPT, PRODUCT_LINE, PART_NUMBER,
    CUSTOMER_NUMBER, QUANTITY_SOLD, ORDER_NUMBER,
    INVOICE_NUMBER, EXT_SALES, EXT_COS,
    GROSS_PROFIT, ACCT_DATE,
    SHIPMENT_TYPE,
    FROM_ORGANIZATION_ID,
    FROM_ORGANIZATION_CODE)
    select a.trx_date,
    g.segment5 dept,
    g.segment4 prd,
    m.segment1 part,
    d.customer_number customer,
    b.quantity_invoiced units,
    --       substr(a.sales_order,1,6) order#,
    substr(ltrim(b.interface_line_attribute1),1,10) order#,
    a.trx_number invoice,
    (b.quantity_invoiced * b.unit_selling_price) sales,
    (b.quantity_invoiced * nvl(price.operand,0)) cos,
    (b.quantity_invoiced * b.unit_selling_price) -
    (b.quantity_invoiced * nvl(price.operand,0)) profit,
    to_char(to_date('2010/02/28 00:00:00','yyyy/mm/dd HH24:MI:SS'),'DD-MON-RR') acct_date,
    'DRP',
    l.ship_from_org_id,
    p.organization_code
    from   ra_customers d,
    gl_code_combinations g,
    mtl_system_items m,
    ra_cust_trx_line_gl_dist c,
    ra_customer_trx_lines b,
    ra_customer_trx_all a,
    apps.oe_order_lines l,
    apps.HR_ORGANIZATION_INFORMATION i,
    apps.MTL_INTERCOMPANY_PARAMETERS inter,
    apps.HZ_CUST_SITE_USES_ALL site,
    apps.qp_list_lines_v price,
    apps.mtl_parameters p
    where a.trx_date between to_date('2010/02/01 00:00:00','yyyy/mm/dd HH24:MI:SS')
    and to_date('2010/02/28 00:00:00','yyyy/mm/dd HH24:MI:SS')+0.9999
    and   a.batch_source_id = 1001     -- Sales order shipped other OU
    and   a.complete_flag = 'Y'
    and   a.customer_trx_id = b.customer_trx_id
    and   b.customer_trx_line_id = c.customer_trx_line_id
    and   a.sold_to_customer_id = d.customer_id
    and   b.inventory_item_id = m.inventory_item_id
    and   m.organization_id
         = decode(substr(g.segment4,1,2),'01',5004,'03',5004,
         '02',5003,'00',5001,5002)
    and   nvl(m.item_type,'0') <> '111'
    and   c.code_combination_id = g.code_combination_id+0
    and   l.line_id = b.interface_line_attribute6
    and   i.organization_id = l.ship_from_org_id
    and   p.organization_id = l.ship_from_org_id
    and   i.org_information3 <> '5108'
    and   inter.ship_organization_id = i.org_information3
    and   inter.sell_organization_id = '5108'
    and   inter.customer_site_id = site.site_use_id
    and   site.price_list_id = price.list_header_id
    and   product_attr_value = to_char(m.inventory_item_id)
    call        count       cpu   elapsed         disk        query      current         rows    misses
    Parse           1      0.47      0.56           11          197            0            0         1
    Execute         1   3733.40   3739.40        34893    519962154           11          188         0
    total           2   3733.87   3739.97        34904    519962351           11          188         1
    |         Rows Row Source Operation
    | ------------ ---------------------------------------------------
    |          188 HASH JOIN (cr=519962149 pr=34889 pw=0 time=2607.35)
    |          741 .TABLE ACCESS BY INDEX ROWID QP_PRICING_ATTRIBUTES (cr=519939426 pr=34889 pw=0 time=2457.32)
    |    254644500 ..NESTED LOOPS (cr=519939265 pr=34777 pw=0 time=3819.67)
    |    254643758 ...NESTED LOOPS (cr=8921833 pr=29939 pw=0 time=1274.41)
    |          741 ....NESTED LOOPS (cr=50042 pr=7230 pw=0 time=11.37)
    |          741 .....NESTED LOOPS (cr=48558 pr=7229 pw=0 time=11.35)
    |          741 ......NESTED LOOPS (cr=47815 pr=7223 pw=0 time=11.32)
    |         3237 .......NESTED LOOPS (cr=41339 pr=7223 pw=0 time=12.42)
    |         3237 ........NESTED LOOPS (cr=38100 pr=7223 pw=0 time=12.39)
    |         3237 .........NESTED LOOPS (cr=28296 pr=7139 pw=0 time=12.29)
    |         1027 ..........NESTED LOOPS (cr=17656 pr=4471 pw=0 time=3.81)
    |         1027 ...........NESTED LOOPS (cr=13537 pr=4404 pw=0 time=3.30)
    |          486 ............NESTED LOOPS (cr=10873 pr=4240 pw=0 time=0.04)
    |          486 .............NESTED LOOPS (cr=10385 pr=4240 pw=0 time=0.03)
    |          486 ..............TABLE ACCESS BY INDEX ROWID RA_CUSTOMER_TRX_ALL (cr=9411 pr=4240 pw=0 time=0.02)
    |        75253 ...............INDEX RANGE SCAN RA_CUSTOMER_TRX_N5 (cr=403 pr=285 pw=0 time=0.38)
    |          486 ..............TABLE ACCESS BY INDEX ROWID HZ_CUST_ACCOUNTS (cr=974 pr=0 pw=0 time=0.01)
    |          486 ...............INDEX UNIQUE SCAN HZ_CUST_ACCOUNTS_U1 (cr=488 pr=0 pw=0 time=0.01)
    |          486 .............INDEX UNIQUE SCAN HZ_PARTIES_U1 (cr=488 pr=0 pw=0 time=0.01)
    |         1027 ............TABLE ACCESS BY INDEX ROWID RA_CUSTOMER_TRX_LINES_ALL (cr=2664 pr=164 pw=0 time=1.95)
    |         2063 .............INDEX RANGE SCAN RA_CUSTOMER_TRX_LINES_N2 (cr=1474 pr=28 pw=0 time=0.22)
    |         1027 ...........TABLE ACCESS BY INDEX ROWID RA_CUST_TRX_LINE_GL_DIST_ALL (cr=4119 pr=67 pw=0 time=0.54)
    |         1027 ............INDEX RANGE SCAN RA_CUST_TRX_LINE_GL_DIST_N1 (cr=3092 pr=31 pw=0 time=0.20)
    |         3237 ..........TABLE ACCESS BY INDEX ROWID MTL_SYSTEM_ITEMS_B (cr=10640 pr=2668 pw=0 time=15.35)
    |         3237 ...........INDEX RANGE SCAN MTL_SYSTEM_ITEMS_B_U1 (cr=2062 pr=40 pw=0 time=0.33)
    |         3237 .........TABLE ACCESS BY INDEX ROWID OE_ORDER_LINES_ALL (cr=9804 pr=84 pw=0 time=0.77)
    |         3237 ..........INDEX UNIQUE SCAN OE_ORDER_LINES_U1 (cr=6476 pr=47 pw=0 time=0.43)
    |         3237 ........TABLE ACCESS BY INDEX ROWID MTL_PARAMETERS (cr=3239 pr=0 pw=0 time=0.04)
    |         3237 .........INDEX UNIQUE SCAN MTL_PARAMETERS_U1 (cr=2 pr=0 pw=0 time=0.01)
    |          741 .......TABLE ACCESS BY INDEX ROWID HR_ORGANIZATION_INFORMATION (cr=6476 pr=0 pw=0 time=0.10)
    |         6474 ........INDEX RANGE SCAN HR_ORGANIZATION_INFORMATIO_FK2 (cr=3239 pr=0 pw=0 time=0.03)Please help.
    Regards
    Ashish

    |    254644500 ..NESTED LOOPS (cr=519939265 pr=34777 pw=0 time=3819.67)
    |    254643758 ...NESTED LOOPS (cr=8921833 pr=29939 pw=0 time=1274.41)There is no way the optimizer should choose to process that many rows using nested loops.
    Either the statistics are not up to date, the data values are skewed or you have some optimizer parameter set to none default to force index access.
    Please post explain plan and optimizer* parameter settings.

Maybe you are looking for

  • Soap -- XI -- IDOC/RFC scenario

    Hello, I have a jsp page that working in tomcat server. I want to send values from jsp page to xi to r/3. I think it will have soap-- xi -- IDOC/RFC scenario Pls send me pdf /doc to implemet it Regards

  • HT1386 Having trouble syncing my ipad mini with iTunes

    When I sync my ipad mini with my iTunes it appears the process is happening, the line indicating music is present on the ipad appears. But when the syncing is done the line disappears and no music has been loaded to the ipad.

  • Audiovox mobile phone jpegs won't open in preview or photoshop

    This is probably the wrong place to post this but here goes. We have a audiovox mobile camera phone with a mini SD card that goes into a sandisk usb card reader. The photos from the phone all show up as normal jpegs but neither Preview or Photoshop c

  • DELETED TEXT MESSAGES

    I really hope someone has answers for me because I am ready to give up on my blackberry.  This has happened several times to both myself and my friends. Scenario: You wake up one morning and all your text messages in your inbox are erased!?!? THis ha

  • Can i stick an object to the side of the browser?

    First, thanks for all the support that been given here, it was really helpfull! second, I got an issue since adobe muse first came: how can i stick something to the side of the browser no matter what width the user is seeing my website, without pin i