Query is taking longer exeuction time after compressing the cube

Hi,
we have compresed 15cubes at once using process chain. After Infocube compression, queries present on top of these cubes taking longer execution times at statement CL_SQL_RESULT_SET=============CP.
Please let us know how to deal with this query performance.
Thanks,
Navis

try to run the query in RSRT in execute and debug mode..
see this http://forums.sdn.sap.com/thread.jspa?threadID=1713040
http://forums.sdn.sap.com/thread.jspa?threadID=1541660

Similar Messages

  • Simple query is taking long time

    Hi Experts,
    The below query is taking long time.
    [code]SELECT   FS.*
      FROM   ORL.FAX_STAGE FS
             INNER JOIN
                   ORL.FAX_SOURCE FSRC
                INNER JOIN
                   GLOBAL_BU_MAPPING GBM
                ON GBM.BU_ID = FSRC.BUID
             ON UPPER (FSRC.FAX_NUMBER) = UPPER (FS.DESTINATION)
    WHERE       FSRC.IS_DELETED = 'N'
             AND GBM.BU_ID IS NOT NULL
             AND UPPER (FS.FAX_STATUS) ='COMPLETED';[/code]
    this query is returning 1645457 records.
    [code]PLAN_TABLE_OUTPUT
    | Id  | Operation           | Name                   | Rows  | Bytes | Cost (%CPU)|
    |   0 | SELECT STATEMENT    |                        |   625K|   341M| 45113   (1)|
    |   1 |  HASH JOIN          |                        |   625K|   341M| 45113   (1)|
    |   2 |   NESTED LOOPS      |                        |   611 | 14664 |    22   (0)|
    |   3 |    TABLE ACCESS FULL| FAX_SOURCE             |  2290 | 48090 |    22   (0)|
    |   4 |    INDEX RANGE SCAN | GLOBAL_BU_MAPPING_BUID |     1 |     3 |     0   (0)|
    |   5 |   TABLE ACCESS FULL | FAX_STAGE              |  2324K|  1214M| 45076   (1)|
    PLAN_TABLE_OUTPUT
    Note
       - 'PLAN_TABLE' is old version
    15 rows selected.[/code]
    The distinct number of records in each table.
    [code]SELECT FAX_STATUS,count(*)
    FROM fax_STAGE
    GROUP BY FAX_STATUS;
    FAX_STATUS    COUNT(*)
    BROKEN          10
    Broken - New    9
    Completed    2324493
    New             20
    SELECT is_deleted,COUNT(*)
    FROM  FAX_SOURCE
    GROUP BY IS_DELETED;
    IS_DELETED COUNT(*)
    N         2290
    Y         78[/code]
    Total number of records in each table.
    [code]SELECT COUNT(*) FROM ORL.FAX_SOURCE FSRC-- 2368
    SELECT COUNT(*) FROM ORL.FAX_STAGE--2324532
    SELECT COUNT(*) FROM APPS_GLOBAL.GLOBAL_BU_MAPPING--9
    [/code]
    To improve the performance of this query I have created the following indexes.
    [code]Functional based index on UPPER (FSRC.FAX_NUMBER) ,UPPER (FS.DESTINATION) and UPPER (FS.FAX_STATUS).
    Bitmap index on FSRC.IS_DELETED.
    Normal Index on GBM.BU_ID and FSRC.BUID.
    [/code]
    But still the performance is bad for this query.
    What can I do apart from this to improve the performance of this query.
    Please help me .
    Thanks in advance.

    <I have created the following indexes.
    CREATE INDEX ORL.IDX_DESTINATION_RAM ON ORL.FAX_STAGE(UPPER("DESTINATION"))
    CREATE INDEX ORL.IDX_FAX_STATUS_RAM ON ORL.FAX_STAGE(LOWER("FAX_STATUS"))
    CREATE INDEX ORL.IDX_UPPER_FAX_STATUS_RAM ON ORL.FAX_STAGE(UPPER("FAX_STATUS"))
    CREATE INDEX ORL.IDX_BUID_RAM ON ORL.FAX_SOURCE(BUID)
    CREATE INDEX ORL.IDX_FAX_NUMBER_RAM ON ORL.FAX_SOURCE(UPPER("FAX_NUMBER"))
    CREATE BITMAP INDEX ORL.IDX_IS_DELETED_RAM ON ORL.FAX_SOURCE(IS_DELETED)
    After creating the following indexes performance got improved.
    But our DBA said that new BITMAP index at FAX_SOURCE table (ORL.IDX_IS_DELETED_RAM) can cause locks
    on multiple rows if IS_DELETED column is in use. Please proceed with detailed tests.
    I am sending the explain plan before creating indexes and after indexes has been created.
    SELECT  FS.*
    FROM  ORL.FAX_STAGE FS
                    INNER JOIN
                    ORL.FAX_SOURCE FSRC
                  INNER JOIN
                      GLOBAL_BU_MAPPING GBM
                    ON GBM.BU_ID = FSRC.BUID
                ON UPPER (FSRC.FAX_NUMBER) = UPPER (FS.DESTINATION)
    WHERE      FSRC.IS_DELETED = 'N'
              AND GBM.BU_ID IS NOT NULL
              AND UPPER (FS.FAX_STATUS) =:B1;
    --OLD without indexes
    PLAN_TABLE_OUTPUT
    Plan hash value: 3076973749
    | Id  | Operation          | Name                  | Rows  | Bytes | Cost (%CPU)| Time    |
    |  0 | SELECT STATEMENT    |                        |  141K|    85M| 45130  (1)| 00:09:02 |
    |*  1 |  HASH JOIN          |                        |  141K|    85M| 45130  (1)| 00:09:02 |
    |  2 |  NESTED LOOPS      |                        |  611 | 18330 |    22  (0)| 00:00:01 |
    |*  3 |    TABLE ACCESS FULL| FAX_SOURCE            |  2290 | 59540 |    22  (0)| 00:00:01 |
    |*  4 |    INDEX RANGE SCAN | GLOBAL_BU_MAPPING_BUID |    1 |    4 |    0  (0)| 00:00:01 |
    |*  5 |  TABLE ACCESS FULL | FAX_STAGE              | 23245 |    13M| 45106  (1)| 00:09:02 |
    PLAN_TABLE_OUTPUT
    Predicate Information (identified by operation id):
      1 - access(UPPER("FSRC"."FAX_NUMBER")=UPPER("FS"."DESTINATION"))
      3 - filter("FSRC"."IS_DELETED"='N')
      4 - access("GBM"."BU_ID"="FSRC"."BUID")
          filter("GBM"."BU_ID" IS NOT NULL)
      5 - filter(UPPER("FS"."FAX_STATUS")=SYS_OP_C2C(:B1))
    21 rows selected.
    --NEW with indexes.
    PLAN_TABLE_OUTPUT
    Plan hash value: 665032407
    | Id  | Operation                        | Name                    | Rows  | Bytes | Cost (%CPU)| Time    |
    |  0 | SELECT STATEMENT                |                          |  5995 |  3986K|  3117  (1)| 00:00:38 |
    |*  1 |  HASH JOIN                      |                          |  5995 |  3986K|  3117  (1)| 00:00:38 |
    |  2 |  NESTED LOOPS                  |                          |  611 | 47658 |    20  (5)| 00:00:01 |
    |*  3 |    VIEW                          | index$_join$_002        |  2290 |  165K|    20  (5)| 00:00:01 |
    |*  4 |    HASH JOIN                    |                          |      |      |            |      |
    |*  5 |      HASH JOIN                  |                          |      |      |            |      |
    PLAN_TABLE_OUTPUT
    |  6 |      BITMAP CONVERSION TO ROWIDS|                          |  2290 |  165K|    1  (0)| 00:00:01 |
    |*  7 |        BITMAP INDEX SINGLE VALUE | IDX_IS_DELETED_RAM      |      |      |            |      |
    |  8 |      INDEX FAST FULL SCAN      | IDX_BUID_RAM            |  2290 |  165K|    8  (0)| 00:00:01 |
    |  9 |      INDEX FAST FULL SCAN        | IDX_FAX_NUMBER_RAM      |  2290 |  165K|    14  (0)| 00:00:01 |
    |* 10 |    INDEX RANGE SCAN              | GLOBAL_BU_MAPPING_BUID  |    1 |    4 |    0  (0)| 00:00:01 |
    |  11 |  TABLE ACCESS BY INDEX ROWID    | FAX_STAGE                | 23245 |    13M|  3096  (1)| 00:00:38 |
    |* 12 |    INDEX RANGE SCAN              | IDX_UPPER_FAX_STATUS_RAM |  9298 |      |  2434  (1)| 00:00:30 |
    Predicate Information (identified by operation id):
    PLAN_TABLE_OUTPUT
      1 - access(UPPER("DESTINATION")="FSRC"."SYS_NC00035$")
      3 - filter("FSRC"."IS_DELETED"='N')
      4 - access(ROWID=ROWID)
      5 - access(ROWID=ROWID)
      7 - access("FSRC"."IS_DELETED"='N')
      10 - access("GBM"."BU_ID"="FSRC"."BUID")
          filter("GBM"."BU_ID" IS NOT NULL)
      12 - access(UPPER("FAX_STATUS")=SYS_OP_C2C(:B1))
    31 rows selected
    Please confirm on the DBA comment.Is this bitmap index locks rows in my case.
    Thanks.>

  • Select query is taking lot of time to fetch data.....

    Select query is taking lot of time to fetch data.
        SELECT algnum atanum  abdatu abzeit abname abenum bmatnr bmaktx bqdatu bqzeit bvlenr bnlenr bvltyp bvlber b~vlpla
               bnltyp bnlber bnlpla bvsola b~vorga INTO TABLE it_final FROM ltak AS a
                       INNER JOIN ltap AS b ON  btanum EQ atanum AND algnum EQ blgnum
                       WHERE a~lgnum = p_whno
                       AND a~tanum IN s_tono
                       AND a~bdatu IN s_tocd
                       AND a~bzeit IN s_bzeit
                       AND a~bname IN s_uname
                       AND a~betyp = 'P'
                       AND b~matnr IN s_mno
                       AND b~vorga <> 'ST'.
    Moderator message: Please Read before Posting in the Performance and Tuning Forum
    Edited by: Thomas Zloch on Mar 27, 2011 12:05 PM

    Hi Shiva,
    I am using two more select queries with the same manner ....
    here are the other two select query :
    ***************1************************
    SELECT * APPENDING CORRESPONDING FIELDS OF TABLE tbl_summary
        FROM ztftelpt LEFT JOIN ztfzberep
         ON  ztfzberep~gjahr = st_input-gjahr
         AND ztfzberep~poper = st_input-poper
         AND ztfzberepcntr  = ztftelptrprctr
        WHERE rldnr  = c_telstra_projects
          AND rrcty  = c_actual
          AND rvers  = c_ver_001
          AND rbukrs = st_input-bukrs
          AND racct  = st_input-saknr
          AND ryear  = st_input-gjahr
          and rzzlstar in r_lstar             
          AND rpmax  = c_max_period.
    and the second one is
    *************************2************************
      SELECT * APPENDING CORRESPONDING FIELDS OF TABLE tbl_summary
        FROM ztftelnt LEFT JOIN ztfzberep
         ON  ztfzberep~gjahr = st_input-gjahr
         AND ztfzberep~poper = st_input-poper
         AND ztfzberepcntr  = ztftelntrprctr
        WHERE rldnr  = c_telstra_networks
          AND rrcty  = c_actual
          AND rvers  = c_ver_001
          AND rbukrs = st_input-bukrs
          AND racct  = st_input-saknr
          AND ryear  = st_input-gjahr
          and rzzlstar in r_lstar                              
          AND rpmax  = c_max_period.
    for both the above table program is taking very less time .... although both the table used in above queries have similar amount of data. And i can not remove the APPENDING CORRESPONDING. because i have to append the data after fetching from the tables.  if i will not use it will delete all the data fetched earlier.
    Thanks on advanced......
    Sourabh

  • Query is taking too much time

    hi
    The following query is taking too much time (more than 30 minutes), working with 11g.
    The table has three columns rid, ida, geometry and index has been created on all columns.
    The table has around 5,40,000 records of point geometries.
    Please help me with your suggestions. I want to select duplicate point geometry where ida=CORD.
    SQL> select a.rid, b.rid from totalrecords a, totalrecords b where a.ida='CORD' and b.idat='CORD' and
    sdo_equal(a.geometry, b.geometry)='TRUE' and a.rid !=b.rid order by 1,2;
    regards

    I have removed some AND conditions That was not necessary. It's just that Oracle can see for example that
    a.ida='CORD' AND
    b.idat='CORD' AND
    a.rid !=b.rid AND
    sdo_equal(a.geometry, b.geometry)='TRUE'
    ORDER BY 1,2;if a.ida does not equal 'CORD', the whole set of conditions evaluates to FALSE, so Oracle will not bother evaluating the rest of the conditions because it's all AND'ed together, and TRUE AND FALSE = FALSE.
    So if you place your least expensive conditions first (even though the optimizer can and will reorder conditions) this will give you a small performance benefit. Too small to notice, but on 5.4 million records it should be noticable.
    and I have set layer_gtype=POINT.Good, that will help. I forgot about that one (Thanks Luc!).
    Now i am facing the problem to DELETE duplicate point geometry. The following query is taking too much time. What is too much time? Do you need to delete these duplicate points on a daily or hourly basis? Or is this a one-time cleanup action? If it's a one-time cleanup operation, does it really matter if it takes half an hour?
    And if this is a daily or even hourly operation, then why don't you prevent the duplicates from entering the table in the first place? That will save you from having to clean up afterwards. Of course, this might not be possible with your business requirements.
    Lastly: can you post an explain plan for your queries? Those might give us an idea of what is taking so much time. Please enclose the results of the explain plan with
    [ c o d e ]
    <code/results here>
    [ / c o d e ]
    that way the original formatting is kept and it makes things much easier to read.
    Regards,
    Stefan

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    Top Processes by CPU: ℹ️
            20%    mds
             5%    WindowServer
             2%    Google Chrome
             1%    launchd
             1%    prl_disp_service
    Top Processes by Memory: ℹ️
        515 MB    Final Cut Pro
        378 MB    softwareupdated
        309 MB    Google Chrome
        215 MB    Google Chrome Helper
        206 MB    mds_stores
    Virtual Memory Information: ℹ️
        220 MB    Free RAM
        3.56 GB    Active RAM
        3.34 GB    Inactive RAM
        1.45 GB    Wired RAM
        7.56 GB    Page-ins
        4 MB    Page-outs
    Diagnostics Information: ℹ️
        Feb 18, 2015, 04:35:18 PM    /Users/[redacted]/Library/Logs/DiagnosticReports/Last.fm Scrobbler_2015-02-18-163518_[redacted].crash
        Feb 18, 2015, 04:29:01 PM    /Library/Logs/DiagnosticReports/backburnerManager_2015-02-18-162901_[redacted]. crash
        Feb 18, 2015, 04:11:30 PM    /Users/[redacted]/Library/Logs/DiagnosticReports/Last.fm Scrobbler_2015-02-18-161130_[redacted].crash
        Feb 18, 2015, 04:04:44 PM    /Users/[redacted]/Library/Logs/DiagnosticReports/Last.fm Scrobbler_2015-02-18-160444_[redacted].crash
        Feb 18, 2015, 01:49:37 PM    /Users/[redacted]/Library/Logs/DiagnosticReports/Last.fm Scrobbler_2015-02-18-134937_[redacted].crash
        Feb 17, 2015, 05:36:32 PM    Self test - passed

    Please read this whole message before doing anything.
    This procedure is a diagnostic test. It’s unlikely to solve your problem. Don’t be disappointed when you find that nothing has changed after you complete it.
    The purpose of the test is to determine whether the problem is caused by third-party software that loads automatically at startup or login, by a peripheral device, by a font conflict, or by corruption of the file system or of certain system caches.
    Disconnect all wired peripherals except those needed for the test, and remove all aftermarket expansion cards, if applicable. Start up in safe mode and log in to the account with the problem. You must hold down the shift key twice: once when you turn on the computer, and again when you log in.
    Note: If FileVault is enabled in OS X 10.9 or earlier, or if a firmware password is set, or if the startup volume is a software RAID, you can’t do this. Ask for further instructions.
    Safe mode is much slower to start up and run than normal, with limited graphics performance, and some things won’t work at all, including sound output and Wi-Fi on certain models. The next normal startup may also be somewhat slow.
    The login screen appears even if you usually login automatically. You must know your login password in order to log in. If you’ve forgotten the password, you will need to reset it before you begin.
    Shut down from safe mode. Same problem?
    After testing, restart as usual (not in safe mode) and verify that you still have the problem. Post the results of the test.

  • Would you please update your time server, Egypt no longer has DST after january the 25th revolution

    Would you please update your time server, Egypt no longer has DST after january the 25th revolution!

    This is a user-to-user forum, not a means for communicating with Apple.  I'm not sure where to direct your inquiry, but probably the Apple Feedback page would be the best choice.

  • HT201250 Does time machine compress the data in backup?

    I have got to replace my internal hard drive so have to back up just everything to an ext drive.
    When I use 'time machine' to back up to an external disk, does that disk have to be larger than the file size on my iMac?
    Does Time machine compress the data?( eg will 1TB fit on a 500 gig external drive?)
    Thanks

    No, Time Machine doesn't compress the data. I recently started a new TIme Machine backup, and the first backup required the same amount of space as it was backing up (actually a little bit more during the backup process).

  • Compressing the Cube data

    Gurus,
    How can I compress data in Cube for all the requests which are older than 7 days ?
    I wanted to do it manually (don't wanna use Compression of InfoCube process type in process chain)
    I am aware of the Option:  Cube Manage --> Collapse --> Calculated request ID --> Mention the required number of days...
    Is there any other way of compressing the Cube data..... ?

    Mathew,
    You are right in the sence we cannot seperate the data in Compressed cube based on the Request ID.
    But I am not interested in creating a new cube / ODS. 
    What I wanted is:
    1. Transport all the data in the cube to PSA tables
    2. Deleted all the data in the cube (compressed & Non-compressed)
    3. Reload the Cube from the existing data in PSA
    The issues I am facing are:
    How can I delete a compressed request ?
    Does Reverse Posting be any help in this case?

  • Query is taking long time to execute after migrating to 10g r2

    Hi
    We recently migrated the database from 9i to 10gr2 ((10.2.0.2.0).. This query was running in acceptable time before the upgrade in 9i.. Now it is taking a long long time to execute this... Can you please let me know what should i do to improve the performance now.. We are running stats everyday..
    Thanks for your help,
    Shree
    ======================================================================================
    SELECT cr.cash_receipt_id
    ,cr.pay_from_customer
    ,cr.receipt_number
    ,cr.receipt_date
    ,cr.amount
    ,cust.account_number
    ,crh.gl_date
    ,cr.set_of_books_id
    ,sum(ra.amount_applied) amount_applied
    FROM AR_CASH_RECEIPTS_ALL cr
    ,AR_RECEIVABLE_APPLICATIONS_ALL ra
    ,hz_cust_accounts cust
    ,AR_CASH_RECEIPT_HISTORY_ALL crh
    ,GL_PERIOD_STATUSES gps
    ,FND_APPLICATION app
    WHERE cr.cash_receipt_id = ra.cash_receipt_id
    AND ra.status = 'UNAPP'
    AND cr.status <> 'REV'
    AND cust.cust_account_id = cr.pay_from_customer
    AND substr(cust.account_number,1,2) <> 'SI' -- Don't allocate Unapplied receipts FOR SI customers
    AND crh.cash_receipt_id = cr.cash_receipt_id
    AND app.application_id = gps.application_id
    AND app.application_short_name = 'AR'
    AND gps.period_name = 'May-07'
    AND crh.gl_date <= gps.end_date
    AND cr.receipt_number not like 'WH%'
    -- AND cust.customer_number = '0000079260001'
    GROUP BY cr.cash_receipt_id
    ,cr.pay_from_customer
    ,cr.receipt_number
    ,cr.receipt_date
    ,cr.amount
    ,cust.account_number
    ,crh.gl_date
    ,cr.set_of_books_id
    HAVING sum(ra.amount_applied) > 0;
    =========================================================================================
    Here is the explain plan in 10g r2 (10.2.0.2.0)
    PLAN_TABLE_OUTPUT
    Plan hash value: 2617075047
    | Id | Operation | Name | Rows | Bytes |TempSpc| Cost (%CPU)|
    | 0 | SELECT STATEMENT | | 92340 | 10M| | 513K (1)|
    |* 1 | FILTER | | | | | |
    | 2 | HASH GROUP BY | | 92340 | 10M| 35M| 513K (1)|
    | 3 | TABLE ACCESS BY INDEX ROWID | AR_RECEIVABLE_APPLICATIONS_ALL | 2 | 34 |
    | 4 | NESTED LOOPS | | 184K| 21M| | 510K (1)|
    |* 5 | HASH JOIN | | 99281 | 9M| 3296K| 176K (1)|
    |* 6 | TABLE ACCESS FULL | HZ_CUST_ACCOUNTS | 112K| 1976K| | 22563 (1)|
    |* 7 | HASH JOIN | | 412K| 33M| 25M| 151K (1)|
    | 8 | TABLE ACCESS BY INDEX ROWID | AR_CASH_RECEIPT_HISTORY_ALL | 332K| 4546K|
    | 9 | NESTED LOOPS | | 498K| 19M| | 26891 (1)|
    | 10 | NESTED LOOPS | | 2 | 54 | | 4 (0)|
    | 11 | TABLE ACCESS BY INDEX ROWID| FND_APPLICATION | 1 | 8 | | 1 (0)|
    |* 12 | INDEX UNIQUE SCAN | FND_APPLICATION_U3 | 1 | | | 0 (0)|
    | 13 | TABLE ACCESS BY INDEX ROWID| GL_PERIOD_STATUSES | 2 | 38 | | 3 (0)
    |* 14 | INDEX RANGE SCAN | GL_PERIOD_STATUSES_U1 | 1 | | | 2 (0)|
    |* 15 | INDEX RANGE SCAN | AR_CASH_RECEIPT_HISTORY_N2 | 332K| | | 1011 (1)
    PLAN_TABLE_OUTPUT
    |* 16 | TABLE ACCESS FULL | AR_CASH_RECEIPTS_ALL | 5492K| 235M| | 108K
    |* 17 | INDEX RANGE SCAN | AR_RECEIVABLE_APPLICATIONS_N1 | 4 | | | 2
    Predicate Information (identified by operation id):
    1 - filter(SUM("RA"."AMOUNT_APPLIED")>0)
    5 - access("CUST"."CUST_ACCOUNT_ID"="CR"."PAY_FROM_CUSTOMER")
    6 - filter(SUBSTR("CUST"."ACCOUNT_NUMBER",1,2)<>'SI')
    7 - access("CRH"."CASH_RECEIPT_ID"="CR"."CASH_RECEIPT_ID")
    12 - access("APP"."APPLICATION_SHORT_NAME"='AR')
    14 - access("APP"."APPLICATION_ID"="GPS"."APPLICATION_ID" AND "GPS"."PERIOD_NAME"='May-07')
    filter("GPS"."PERIOD_NAME"='May-07')
    15 - access("CRH"."GL_DATE"<="GPS"."END_DATE")
    16 - filter("CR"."STATUS"<>'REV' AND "CR"."RECEIPT_NUMBER" NOT LIKE 'WH%')
    17 - access("CR"."CASH_RECEIPT_ID"="RA"."CASH_RECEIPT_ID" AND "RA"."STATUS"='UNAPP')
    filter("RA"."CASH_RECEIPT_ID" IS NOT NULL)
    Here is the explain plan in 9i
    Execution Plan
    0 SELECT STATEMENT Optimizer=CHOOSE (Cost=445977 Card=78530 By
    tes=9423600)
    1 0 FILTER
    2 1 SORT (GROUP BY) (Cost=445977 Card=78530 Bytes=9423600)
    3 2 HASH JOIN (Cost=443717 Card=157060 Bytes=18847200)
    4 3 HASH JOIN (Cost=99563 Card=94747 Bytes=9758941)
    5 4 TABLE ACCESS (FULL) OF 'HZ_CUST_ACCOUNTS' (Cost=12
    286 Card=110061 Bytes=1981098)
    6 4 HASH JOIN (Cost=86232 Card=674761 Bytes=57354685)
    7 6 TABLE ACCESS (BY INDEX ROWID) OF 'AR_CASH_RECEIP
    T_HISTORY_ALL' (Cost=17532 Card=542304 Bytes=7592256)
    8 7 NESTED LOOPS (Cost=17536 Card=809791 Bytes=332
    01431)
    9 8 NESTED LOOPS (Cost=4 Card=1 Bytes=27)
    10 9 TABLE ACCESS (BY INDEX ROWID) OF 'FND_APPL
    ICATION' (Cost=1 Card=1 Bytes=8)
    11 10 INDEX (UNIQUE SCAN) OF 'FND_APPLICATION_
    U3' (UNIQUE)
    12 9 TABLE ACCESS (BY INDEX ROWID) OF 'GL_PERIO
    D_STATUSES' (Cost=3 Card=1 Bytes=19)
    13 12 INDEX (RANGE SCAN) OF 'GL_PERIOD_STATUSE
    S_U1' (UNIQUE) (Cost=2 Card=1)
    14 8 INDEX (RANGE SCAN) OF 'AR_CASH_RECEIPT_HISTO
    RY_N2' (NON-UNIQUE) (Cost=1740 Card=542304)
    15 6 TABLE ACCESS (FULL) OF 'AR_CASH_RECEIPTS_ALL' (C
    ost=60412 Card=8969141 Bytes=394642204)
    16 3 TABLE ACCESS (FULL) OF 'AR_RECEIVABLE_APPLICATIONS_A
    LL' (Cost=337109 Card=15613237 Bytes=265425029)

    Hi,
    The plan between 9i and 10g is pretty the same but the amount of data fetched has considerably increased. I guess the query was performing slow even in 9i.
    The AR_CASH_RECEIPT_HISTORY_ALL is presently having 332000 rows in 10g where as it was 17532 in 9i.
    AR_CASH_RECEIPT_HISTORY_N2 is now having 332,000 rows in 10g where as in 9i it had 1,740
    Try creating some indexes on
    AR_CASH_RECEIPTS_ALL
    hz_cust_accounts

  • This part of query is taking long time to run, its about 40 minutes. Can anyone help wit it.

    ------Load Dataset into Temp table---------------
    SELECT
    z.SYSTEMNAME
    --,Case when ZXC.[Subsystem Name] <> 'NULL' Then zxc.[SubSystem Name]
    --else NULL
    --End AS SubSystemName
    , CASE
    WHEN z.PROV_TAX_ID IN
    (SELECT DISTINCT zxc.TIN
    FROM dbo.SQS_Provider_Tracking zxc
    WHERE zxc.[SubSystem Name] <> 'NULL'
    THEN
    (SELECT DISTINCT [Subsystem Name]
    FROM dbo.SQS_Provider_Tracking zxc
    WHERE z.PROV_TAX_ID = zxc.TIN)
    End As SubSYSTEMNAME
    ,z.PROVIDERNAME
    ,z.STATECODE
    ,z.PROV_TAX_ID
    ,z.SRC_PAR_CD
    ,SUM(z.SEQUEST_AMT) Actual_Sequestered_Amt
    , CASE
    WHEN z.SRC_PAR_CD IN ('E','O','S','W')
    THEN 'Nonpar Waiver'
    --**Amendment Mailed**
    --WHEN z.PROV_TAX_ID IN
    When EXISTS
    (SELECT DISTINCT b.PROV_TIN
    FROM dbo.SQS_Mailed_TINs_010614 b WITH (NOLOCK )
    where not exists (select * from dbo.sqs_objector_TINs t where b.PROV_TIN = t.prov_tin))
    THEN
    (SELECT DISTINCT b.Mailing
    FROM dbo.SQS_Mailed_TINs_010614 b WITH (NOLOCK )
    WHERE z.PROV_TAX_ID = b.PROV_TIN
    -- --**Amendment Mailed Wave 3 and 4**
    --WHEN z.PROV_TAX_ID In
    When EXISTS
    (SELECT
    qz.PROV_TIN
    FROM
    [SQS_Mailed_TINs] qz WITH (NOLOCK )
    where qz.Mailing = 'Amendment Mailed (3rd Wave)'
    and not exists (select * from dbo.sqs_objector_TINs t WITH (NOLOCK ) where qz.PROV_TIN = t.prov_tin))
    THEN 'Amendment Mailed (3rd Wave)'
    WHEN EXISTS
    (SELECT
    qz.PROV_TIN
    FROM
    [SQS_Mailed_TINs] qz WITH (NOLOCK )
    where qz.Mailing = 'Amendment Mailed (4th Wave)'
    and not exists (select * from dbo.sqs_objector_TINs t WITH (NOLOCK ) where qz.PROV_TIN = t.prov_tin))
    THEN 'Amendment Mailed (4th Wave)'
    -- --Is Puerto Rico of Lifesynch
    WHEN EXISTS
    (SELECT DISTINCT a.PROV_TAX_ID
    FROM PACT.dbo.SQS_NonPar_PR_LS_TINs a WITH (NOLOCK )
    WHERE a.Bucket <> 'Nonpar'
    THEN
    (SELECT DISTINCT a.Bucket
    FROM PACT.dbo.SQS_NonPar_PR_LS_TINs a WITH (NOLOCK )
    WHERE a.PROV_TAX_ID = z.PROV_TAX_ID)
    -- --**Top Objecting Systems**
    WHEN z.SYSTEMNAME IN
    ('ADVENTIST HEALTH SYSTEM','ASCENSION HEALTH ALLIANCE','AULTMAN HEALTH FOUNDATION','BANNER HEALTH SYSTEM','BERT FISH MEDICAL CENTER','BETHESDA MEMORIAL HOSPITAL','BJC HEALTHCARE','BLOUNT MEMORIAL HOSPITAL','BOCA RATON REGIONAL HOSPITAL','CAROMONT HEALTH SYSTEM','CATHOLIC HEALTH INITIATIVES','CATHOLIC HEALTHCARE PARTNERS','CHRISTUS HEALTH',/*'CLEVELAND CLINIC HEALTH SYSTEM',*/'COLUMBUS REGIONAL HEALTHCARE SYSTEM','COMMUNITY HEALTH SYSTEMS, INC','COXHEALTH','HCA','HEALTH MANAGEMENT ASSOCIATES','HUNTSVILLE HOSPITAL HEALTH SYSTEM','INTEGRIS HEALTH','JUPITER MEDICAL CENTER','LEE MEMORIAL HEALTH SYSTEM','MARTIN MEMORIAL HEALTH SYSTEM','MERCY','MT SINAI MEDICAL CENTER (MIAMI)','MUNROE REGIONAL MEDICAL CENTER','NORMAN REGIONAL HEALTH SYSTEM','NORTHSIDE HEALTH SYSTEM','SHANDS HEALTHCARE','SISTERS OF MERCY - SPRINGFIELD, MO','SSM HEALTH CARE','ST LUKES HEALTH SYSTEM','SUMMA HEALTH SYSTEM','SUSQUEHANNA HEALTH SYSTEM','TBD -- TRINITY HEALTH - CATHOLIC HEALTH EAST','UNIVERSITY OF MISSOURI HEALTH SYSTEM','UNIVERSITY OF NEW MEXICO HOSPITALS','UNIVERSITY OF UTAH HEALTH CARE')
    THEN 'Top Objecting Systems'
    WHEN EXISTS
    (SELECT
    h.PROV_TAX_ID
    FROM
    #HIHO_Records h
    INNER JOIN SQS_Provider_Tracking obj WITH (NOLOCK )
    ON h.PROV_TAX_ID = obj.TIN
    AND obj.[Objector?] = 'Top Objector'
    WHERE z.PROV_TAX_ID = h.PROV_TAX_ID
    OR h.SMG_ID IS NOT NULL
    )and z.LCLM_RSTMT_TREND_CAT_CD IN ('HO','HI')
    THEN 'Top Objecting Systems'
    -- --**Other Objecting Hospitals**
    WHEN EXISTS
    (SELECT
    h.PROV_TAX_ID
    FROM
    #HIHO_Records h
    INNER JOIN SQS_Provider_Tracking obj WITH (NOLOCK )
    ON h.PROV_TAX_ID = obj.TIN
    AND obj.[Objector?] = 'Objector'
    WHERE z.PROV_TAX_ID = h.PROV_TAX_ID
    OR h.SMG_ID IS NOT NULL
    )and z.LCLM_RSTMT_TREND_CAT_CD IN ('HO','HI')
    THEN 'Other Objecting Hospitals'
    -- --**Objecting Physicians**
    WHEN EXISTS
    (SELECT z.PROV_TAX_ID
    FROM SQS_EDW_Source z WITH (NOLOCK)
    WHERE EXISTS
    (SELECT DISTINCT
    obj.TIN
    FROM SQS_Provider_Tracking obj WITH (NOLOCK )
    WHERE obj.[Objector?] in ('Objector','Top Objector')
    and z.PROV_TAX_ID = obj.TIN
    and z.LCLM_RSTMT_TREND_CAT_CD not IN ('HO','HI')
    THEN 'Objecting Physicians'
    --****Rejecting Hospitals****
    WHEN EXISTS
    (SELECT
    h.PROV_TAX_ID
    FROM
    #HIHO_Records h
    INNER JOIN SQS_Provider_Tracking obj WITH (NOLOCK )
    ON h.PROV_TAX_ID = obj.TIN
    AND obj.[Objector?] = 'Rejector'
    WHERE z.PROV_TAX_ID = h.PROV_TAX_ID
    OR h.SMG_ID IS NOT NULL
    )and z.LCLM_RSTMT_TREND_CAT_CD IN ('HO','HI')
    THEN 'Rejecting Hospitals'
    --****Rejecting Physciains****
    WHEN EXISTS
    (SELECT obj.TIN
    FROM SQS_Provider_Tracking obj WITH (NOLOCK )
    WHERE z.PROV_TAX_ID = obj.TIN
    AND obj.[Objector?] = 'Rejector')
    and z.LCLM_RSTMT_TREND_CAT_CD NOT IN ('HO','HI')
    THEN 'REjecting Physicians'
    ----**********ALL OBJECTORS SHOULD HAVE BEEN BUCKETED AT THIS POINT IN THE QUERY**********
    -- --**Non-Objecting Hospitals**
    WHEN EXISTS
    (SELECT DISTINCT
    h.PROV_TAX_ID
    FROM
    #HIHO_Records h WITH (NOLOCK )
    WHERE
    (z.PROV_TAX_ID = h.PROV_TAX_ID)
    OR h.SMG_ID IS NOT NULL
    )and z.LCLM_RSTMT_TREND_CAT_CD IN ('HO','HI')
    THEN 'Non-Objecting Hospitals'
    -- **Outstanding Contracts for Review**
    WHEN EXISTS
    (SELECT qz.PROV_TIN
    FROM
    [PACT].[HUMAD\ARS3766].[SQS_Mailed_TINs] qz WITH (NOLOCK )
    where qz.Mailing = 'Non-Objecting Bilateral Physicians'
    AND z.PROV_TAX_ID = qz.PROV_TIN)
    Then 'Non-Objecting Bilateral Physicians'
    When EXISTS
    (select
    p.prov_tax_id
    from dbo.SQS_CoC_Potential_Mail_List p WITH (NOLOCK )
    where p.amendmentrights <> 'Unilateral'
    AND z.prov_tax_id = p.prov_tax_id)
    THEN 'Non-Objecting Bilateral Physicians'
    WHEN EXISTS
    (SELECT
    qz.PROV_TIN
    FROM
    [SQS_Mailed_TINs] qz WITH (NOLOCK )
    where qz.Mailing = 'More Research Needed'
    AND qz.PROV_TIN = z.PROV_TAX_ID)
    THEN 'More Research Needed'
    WHEN EXISTS (SELECT qz.PROV_TIN FROM [SQS_Mailed_TINs] qz WITH (NOLOCK ) where qz.Mailing = 'Objector' AND qz.PROV_TIN = z.PROV_TAX_ID)
    THEN 'ERROR'
    else 'Market Review/Preparing to Mail'
    END AS [Updated Bucket]
    ,COALESCE(q.INDdesc, f.IND_desc) AS INDdesc
    ,f.Time_Period_for_Dispute
    ,f.Renew_Term_Ind
    ,f.Renewal_Date
    ,z.SMG_ID
    ,'' AS OrderedRank
    INTO SQS_Bucketed_Details_SMG_on_SMGXXX
    From #SQS_EDW_SOURCE_WithSMG z
    left join #F f ON f.PROV_TAX_ID = z.PROV_TAX_ID
    AND z.SYSTEMNAME = f.SYSTEM_NAME
    AND z.PROVIDERNAME = f.Provider
    Left join #Q q ON z.PROV_TAX_ID = q.TIN
    GROUP BY z.SYSTEMNAME
    --,Z.[SubsystemName]
    ,z.PROVIDERNAME
    ,z.STATECODE
    ,z.PROV_TAX_ID
    ,z.SRC_PAR_CD
    ,q.INDdesc
    ,f.IND_Desc
    ,f.Time_Period_for_Dispute
    ,f.Renew_Term_Ind
    ,f.Renewal_Date
    ,z.SMG_ID
    ,z.LCLM_RSTMT_TREND_CAT_CD
    As I am a developer I do not have the access to Sql profiler or tuning agent to optimize my query, I have used some joins over the temp table #HIHO which indeed pulling the records from table EDW_Source which has 5 million records, I also added Non clustered
    indexes on prov_ID, SMG_ID and Incurred month for this table, but still it is taking longer time. Need help

    Hi, It needs some more tweaks but pls try this one
    USE
    Go
    --****Create sqs_objector_TINs (Objections and Rejections)****
    --Drop table .dbo.sqs_objector_TINs
    select distinct a.TIN as Prov_TIN
    Into #sqs_objector_TINs
    from .dbo.sqs_provider_tracking as a with (nolock)
    where a.[Objector?] in ('Top Objector','Objector','Rejector')
    /*********** Query for SQS_TINtoSyst***********/
    --DROP TABLE .dbo.SQS_TINtoSystem
    select distinct
    b.SRC_PROV_ID
    --,case
    -- when a.SYSTEM_NAME is null
    -- then
    -- case
    -- when a.CTRCT_GRP_NAME is null
    -- then a.PROV_SMG_NAME
    -- else a.CTRCT_GRP_NAME
    -- end
    -- else a.SYSTEM_NAME
    --end as SYSTEM_NAME
    ,COALESCE(a.SYSTEM_NAME, a.CTRCT_GRP_NAME, a.PROV_SMG_NAME) AS SYSTEM_NAME
    INTO #SQS_TINtoSystem
    from
    PARE.dbo.EDW_PROD_HOSPITAL_MASTER a with (nolock)
    Inner Join PARE.dbo.EDW_PROD_HOSPITAL_ID_XREF b with (nolock)
    on a.SMG_ID = b.SMG_ID
    -- Inner Join .dbo.SQS_EDW_Source q
    --on b.SRC_PROV_ID = q.PROV_TAX_ID
    where b.SRC_PLATFORM_CD = 'TX'
    and exists
    select
    SMG_ID
    from PARE.dbo.EDW_PROD_HOSPITAL_ID_XREF as t1 with (nolock)
    where SRC_PLATFORM_CD = 'TX'
    and exists (select q.PROV_TAX_ID from .dbo.SQS_EDW_Source q with (nolock) where q.PROV_TAX_ID = b.SRC_PROV_ID)
    and a.SMG_ID = t1.SMG_ID
    /************** Query for SQS_Bucketed_Details_SMG*****************/
    DROP TABLE .dbo.SQS_Bucketed_Details_SMG
    --Create temp table
    SELECT z.SYSTEMNAME
    ,Z.PROV_TAX_ID
    ,z.PROVIDERNAME
    ,z.STATECODE
    ,z.SRC_PAR_CD
    ,z.SEQUEST_AMT
    ,case when Z.LCLM_RSTMT_TREND_CAT_CD IN ('HI','HO') Then 'H' else 'P' end as Hosp_Ind
    ,Z.SMG_ID
    INTO #SQS_EDW_SOURCE_WithSMG
    FROM dbo.SQS_EDW_SOURCE_WithSMG z with (nolock)
    WHERE (Z.Incurred_Mth >= convert(datetime,'01/01/2013')) and (Z.Incurred_Mth < convert(datetime, '1/1/2014'))
    --between convert(datetime,'01/01/2013') and convert(datetime, '12/31/2013 23:59:59.996')
    --YEAR(Z.Incurred_Mth)=2013
    -- Create Temp table Q
    select
    x.TIN,
    case when max(x.IND) = 'NYN'
    then 'Standard'
    when max(x.IND) = 'YNN'
    then 'Express'
    when max(x.IND) = 'NNY'
    then 'Non_Standard' else 'Mixed'
    end as INDdesc
    Into #Q
    FROM
    (SELECT
    a.tin,
    MAX(a.express) + MAX(a.StandardInd) + MAX(NonstandardIND) as IND
    from
    (select r.TIN,
    case when MAX(r.Express) like 'Y%' then 'Y' else 'N' end As Express,
    case when MAX(r.Standard) = 'Y' then 'Y' else 'N' end As StandardInd,
    case when MAX(r.[Non-Standard]) = 'Y' then 'Y' else 'N' end AS NonstandardIND
    FROM DBO.SQS_Objectors_01032014 r with (nolock)
    GROUP BY r.TIN) a
    group by a.TIN) x
    group by x.TIN
    --Create Temp table F
    Select *
    INTO #F
    FROM(
    SELECT distinct g.prov_tax_id
    ,g.system_name
    ,g.provider
    ,case when g.reimburse_mixed = 'Y' then 'Mixed'
    when g.reimburse_express = 'Y' then 'Express'
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    WHERE zxc.[SubSystem Name] <> 'NULL'
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    FROM
    #HIHO_Records h
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    (SELECT
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    FROM .dbo.SQS_Provider_Tracking obj with (nolock)
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