Same sql query with multiple database links

Hi All,
i want to execute an sql query for a SELECT LIST Item. which should use database links in it's query.
i'm having a list of database links in the region. say :LOC which is having 10 items each linking to different databases.
i want to use following query for another item in same page.
select customer_name from working_lines@:LOC where
phone_no:phone_no
can i do this.
Thank you All.

What we have done before is to create a report based on a PL/SQL procedure that returns a SQL statement.
The PL/SQL code grabs the "selected" database link from :LOC and parses the SQL QUERY you want to execute replacing some token (like [LINK]) with '@DBNAME'.
Lets say your SQL statement is coded like this:
mySQL := 'SELECT cust_name FROM working_lines[LINK] where phone_no = :Phone;'
Then all you would have to do to replace '[LINK]' with the proper DB alias would be:
mySQL := REPLACE(mySQL, '[LINK]', '@'||:LOC);
and then return the new SQL ...
if :LOC has something like 'V10GPROD' your SQL would look like :
SELECT cust_name FROM working_lines@V10GPROD where phone_no = :Phone;
The beauty of this is that you can also include a "null" option that means the select statement will be executed on THIS database...
Doug

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    NULL
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    NULL
    NULL
    NULL
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    NULL
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    NULL
    NULL
    NULL
    NULL
    NULL
    62966032
    NULL
    NULL
    4
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    NULL
    NULL
    NULL
    NULL
    NULL
    63090372
    NULL
    NULL
    NULL
    NULL
    EN
    NULL
    NULL
    NULL
    NULL
    63090375
    NULL
    NULL
    NULL
    NULL
    EN
    NULL
    NULL
    NULL
    NULL
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    06/01/2009
    7
    7775734.57
    OPPENHEIMER MULTIFAMILY HSG
    11
    1
    13
    8.4
    11208
    12240000
    08/01/2011
    3.84
    11879882.17
    WELLS FARGO BANK NA
    6
    15
    5
    8.5
    11193
    8150400
    12/01/2008
    6.75
    7828776.28
    OPPENHEIMER MULTIFAMILY HSG
    10
    2
    16
    8.8
    11186
    11607400
    02/01/2006
    5.51
    10580934.67
    WELLS FARGO BANK NA
    7
    8
    20
    9.9
    11204
    9300000
    02/01/2011
    3.41
    8927064.51
    PNC BANK, NATIONAL ASSOCIATION
    9
    18
    8
    11.5
    11201
    7208600
    10/01/2010
    4.59
    6949026.64
    BERKADIA COMMERCIAL MORTGAGE
    12
    13
    9
    11.7
    11206
    6800000
    05/01/2011
    3.88
    6576635.57
    WELLS FARGO BANK NA
    13
    14
    7
    12.1
    11183
    4230000
    04/01/2009
    6.55
    4069938.75
    BERKADIA COMMERCIAL MORTGAGE
    17
    3
    15
    12.4
    11195
    3898000
    05/01/2009
    6.5
    3752154.96
    BERKADIA COMMERCIAL MORTGAGE
    18
    4
    14
    13
    11188
    4801800
    09/01/2006
    6.3
    4326951.51
    PNC BANK, NATIONAL ASSOCIATION
    16
    5
    18
    13.1
    11213
    5496000
    05/01/2012
    3.1
    5377541.15
    WELLS FARGO BANK NA
    14
    19
    2
    13.1
    11205
    5200000
    02/01/2011
    3.56
    4997518.18
    LOVE FUNDING CORPORATION
    15
    16
    8
    13.9
    11199
    3824000
    02/01/2010
    5.25
    3673760.35
    WALKER AND DUNLOP LLC

  • Combine multiple web services with the same SQL query into one

    Hello,
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    Han Dao

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    <Result>
          <Person>
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                 <SSN>111-11-1111</SSN>
          </Person>
    </Result>
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    <Result>
          <Person>
                 <Name>Alex</Name>
                 <PhoneNumber>867-5309</PhoneNumber>
                 <SSN>111-11-1111</SSN>
          </Person>
          <Person>
                 <Name>Han</Name>
                 <PhoneNumber>867-2169</PhoneNumber>
                 <SSN>222-22-2222</SSN>
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    Column Name               Element
    Name                            YourName
    PhoneNumber                Phone
    SSN                              Secret
    which would then make your xml look like:
    <Result>
          <Person>
                 <YourName>Alex</YourName>
                 <Phone>867-5309</Phone>
                 <Secret>111-11-1111</Secret>
          </Person>
    </Result>
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  • SQL Query with MS-Access Database

    Hi,
    I have linked my oracle database with MS-Access via a DB LINK. i can access the data from MS-ACCESS, but i have a problem that when i specify the column name or define a where clause in my query it gives me the error ORA-00904: invalid identfier ..
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    Regards
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    Are column/table names in access case sensitive? Issue
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    We have R12.1.1 and db is 11.1.0.7 on redhat 5.3 ( 64 bit).
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    if yes how ?

    >
    Can we link one application instance ( apps / , inst / ) with multiple database ( db / ),
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  • ORACLE EXPRESS: build a page with multiple forms linked to one table

    hi,
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    i created all the form as (sql query)
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    (UPDATE ORDERS
    SET TRAY_PREPARED =:P10_TRAY_PREPARED_1
    WHERE ORDER_ID =:P10_ORDER_ID_1;
    UPDATE ORDERS
    SET TRAY_PREPARED =:P10_TRAY_PREPARED_2
    WHERE ORDER_ID =:P10_ORDER_ID_2;
    UPDATE ORDERS
    SET TRAY_PREPARED =:P10_TRAY_PREPARED_3
    WHERE ORDER_ID =:P10_ORDER_ID_3;
    UPDATE ORDERS
    SET TRAY_PREPARED =:P10_TRAY_PREPARED_4
    WHERE ORDER_ID =:P10_ORDER_ID_4;
    i dont know really if i can do that, but it appear hat it actually saving according to order_id number , but not all the time some time it saved the value as "null".
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    I READ THIS ONE
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    BUT IT WAS FOR MULTIPLE INSERT
    thanks.

    Sans,
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  • SQL query with Bind variable with slower execution plan

    I have a 'normal' sql select-insert statement (not using bind variable) and it yields the following execution plan:-
    Execution Plan
    0 INSERT STATEMENT Optimizer=CHOOSE (Cost=7 Card=1 Bytes=148)
    1 0 HASH JOIN (Cost=7 Card=1 Bytes=148)
    2 1 TABLE ACCESS (BY INDEX ROWID) OF 'TABLEA' (Cost=4 Card=1 Bytes=100)
    3 2 INDEX (RANGE SCAN) OF 'TABLEA_IDX_2' (NON-UNIQUE) (Cost=3 Card=1)
    4 1 INDEX (FAST FULL SCAN) OF 'TABLEB_IDX_003' (NON-UNIQUE)
    (Cost=2 Card=135 Bytes=6480)
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    0 recursive calls
    18 db block gets
    15558 consistent gets
    47 physical reads
    9896 redo size
    423 bytes sent via SQL*Net to client
    1095 bytes received via SQL*Net from client
    3 SQL*Net roundtrips to/from client
    1 sorts (memory)
    0 sorts (disk)
    55 rows processed
    I have the same query but instead running using bind variable (I test it with both oracle form and SQL*plus), it takes considerably longer with a different execution plan:-
    Execution Plan
    0 INSERT STATEMENT Optimizer=CHOOSE (Cost=407 Card=1 Bytes=148)
    1 0 TABLE ACCESS (BY INDEX ROWID) OF 'TABLEA' (Cost=3 Card=1 Bytes=100)
    2 1 NESTED LOOPS (Cost=407 Card=1 Bytes=148)
    3 2 INDEX (FAST FULL SCAN) OF TABLEB_IDX_003' (NON-UNIQUE) (Cost=2 Card=135 Bytes=6480)
    4 2 INDEX (RANGE SCAN) OF 'TABLEA_IDX_2' (NON-UNIQUE) (Cost=2 Card=1)
    Statistics
    0 recursive calls
    12 db block gets
    3003199 consistent gets
    54 physical reads
    9448 redo size
    423 bytes sent via SQL*Net to client
    1258 bytes received via SQL*Net from client
    3 SQL*Net roundtrips to/from client
    1 sorts (memory)
    0 sorts (disk)
    55 rows processed
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    Ivan

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    regards
    Ivan

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    Hi Bryan,
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  • Need help with SQL Query with Inline View + Group by

    Hello Gurus,
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    Reference_No---Check_Number---Check_Date--------Description-------------------------------Invoice_Number----------Invoice_Type---Paid_Amount-----Vendor_Number
    1234567----------11223-------------- 7/5/2008----------paid for cleaning----------------------44345563------------------I-----------------*20.00*-------------19
    1234567----------11223--------------7/5/2008-----------Adjustment for bad quality---------44345563------------------A-----------------10.00------------19
    7654321----------11223--------------7/5/2008-----------Adjustment from last billing cycle-----23543556-------------------A--------------------50.00--------------19
    4653456----------11223--------------7/5/2008-----------paid for cleaning------------------------35654765--------------------I---------------------30.00-------------19
    Please Ignore '----', added it for clarity
    I am trying to write a query to aggregate paid_amount based on Reference_No, Check_Number, Payment_Date, Invoice_Number, Invoice_Type, Vendor_Number and display description with Invoice_type 'I' when there are multiple records with the same Reference_No, Check_Number, Payment_Date, Invoice_Number, Invoice_Type, Vendor_Number. When there are no multiple records I want to display the respective Description.
    The query should return the following data set
    Reference_No---Check_Number---Check_Date--------Description-------------------------------Invoice_Number----------Invoice_Type---Paid_Amount-----Vendor_Number
    1234567----------11223-------------- 7/5/2008----------paid for cleaning----------------------44345563------------------I-----------------*10.00*------------19
    7654321----------11223--------------7/5/2008-----------Adjustment from last billing cycle-----23543556-------------------A--------------------50.00--------------19
    4653456----------11223--------------7/5/2008-----------paid for cleaning------------------------35654765-------------------I---------------------30.00--------------19
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    select B.Description, A.sequence_id,A.check_date, A.check_number, A.invoice_number, A.amount, A.vendor_number
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    select sequence_id,check_date, check_number, invoice_number, sum(paid_amount) amount, vendor_number
    from INVOICE
    group by sequence_id,check_date, check_number, invoice_number, vendor_number
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    where A.sequence_id = B.sequence_id
    Thanks,
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    Regards.
    Satyaki De.

  • How to compare same SQL query performance in different DB servers.

    We have Production and Validation Environment of Oracle11g DB on two Solaris OSs.
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    But we detected large SQL query performace difference in PROD DB and VAL DB in same SQL query.
    I would like to find and solve the cause of this situation.
    How could I do that ?
    I plan to compare SQL execution plan in PROD and VAL DB and index fragmentations.
    Before that I thought I need to keep same condition of DB statistics information in PROD and VAL DB.
    So, I plan to execute alter system FLUSH BUFFER_CACHE;
    But I am worring about bad effects of alter system FLUSH BUFFER_CACHE; to end users
    If we did alter system FLUSH BUFFER_CACHE; and got execution plan of that SQL query in the time end users do not use that system ,
    there is not large bad effect to end users after those operations?
    Could you please let me know the recomendation to compare SQL query performace ?

    Thank you.
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    Is there any thing wrong in DB or how to get AWR report ?
    Host Name
    Platform
    CPUs
    Cores
    Sockets
    Memory (GB)
    xxxx
    Solaris[tm] OE (64-bit)
    .00
    Snap Id
    Snap Time
    Sessions
    Cursors/Session
    Begin Snap:
    xxxx
    13-Apr-15 04:00:04
    End Snap:
    xxxx
    14-Apr-15 04:00:22
    Elapsed:
    1,440.30 (mins)
    DB Time:
    0.00 (mins)
    Report Summary
    Cache Sizes
    Begin
    End
    Buffer Cache:
    M
    M
    Std Block Size:
    K
    Shared Pool Size:
    0M
    0M
    Log Buffer:
    K
    Load Profile
    Per Second
    Per Transaction
    Per Exec
    Per Call
    DB Time(s):
    0.0
    0.0
    0.00
    0.00
    DB CPU(s):
    0.0
    0.0
    0.00
    0.00
    Redo size:
    Logical reads:
    0.0
    1.0
    Block changes:
    0.0
    1.0
    Physical reads:
    0.0
    1.0
    Physical writes:
    0.0
    1.0
    User calls:
    0.0
    1.0
    Parses:
    0.0
    1.0
    Hard parses:
    W/A MB processed:
    16.7
    1,442,472.0
    Logons:
    Executes:
    0.0
    1.0
    Rollbacks:
    Transactions:
    0.0
    Instance Efficiency Percentages (Target 100%)
    Buffer Nowait %:
    Redo NoWait %:
    Buffer Hit %:
    In-memory Sort %:
    Library Hit %:
    96.69
    Soft Parse %:
    Execute to Parse %:
    0.00
    Latch Hit %:
    Parse CPU to Parse Elapsd %:
    % Non-Parse CPU:
    Shared Pool Statistics
    Begin
    End
    Memory Usage %:
    % SQL with executions>1:
    34.82
    48.31
    % Memory for SQL w/exec>1:
    63.66
    73.05
    Top 5 Timed Foreground Events
    Event
    Waits
    Time(s)
    Avg wait (ms)
    % DB time
    Wait Class
    DB CPU
    0
    100.00
    Host CPU (CPUs: Cores: Sockets: )
    Load Average Begin
    Load Average End
    %User
    %System
    %WIO
    %Idle
    Instance CPU
    %Total CPU
    %Busy CPU
    %DB time waiting for CPU (Resource Manager)
    Memory Statistics
    Begin
    End
    Host Mem (MB):
    SGA use (MB):
    46,336.0
    46,336.0
    PGA use (MB):
    713.6
    662.6
    % Host Mem used for SGA+PGA:
    Time Model Statistics
    No data exists for this section of the report.
    Back to Wait Events Statistics
    Back to Top
    Operating System Statistics
    No data exists for this section of the report.
    Back to Wait Events Statistics
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    Operating System Statistics - Detail
    No data exists for this section of the report.
    Back to Wait Events Statistics
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    Foreground Wait Class
    s - second, ms - millisecond - 1000th of a second
    ordered by wait time desc, waits desc
    %Timeouts: value of 0 indicates value was < .5%. Value of null is truly 0
    Captured Time accounts for % of Total DB time .00 (s)
    Total FG Wait Time: (s) DB CPU time: .00 (s)
    Wait Class
    Waits
    %Time -outs
    Total Wait Time (s)
    Avg wait (ms)
    %DB time
    DB CPU
    0
    100.00
    Back to Wait Events Statistics
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    Foreground Wait Events
    No data exists for this section of the report.
    Back to Wait Events Statistics
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    Background Wait Events
    ordered by wait time desc, waits desc (idle events last)
    Only events with Total Wait Time (s) >= .001 are shown
    %Timeouts: value of 0 indicates value was < .5%. Value of null is truly 0
    Event
    Waits
    %Time -outs
    Total Wait Time (s)
    Avg wait (ms)
    Waits /txn
    % bg time
    log file parallel write
    527,034
    0
    2,209
    4
    527,034.00
    db file parallel write
    381,966
    0
    249
    1
    381,966.00
    os thread startup
    2,650
    0
    151
    57
    2,650.00
    latch: messages
    125,526
    0
    89
    1
    125,526.00
    control file sequential read
    148,662
    0
    54
    0
    148,662.00
    control file parallel write
    41,935
    0
    28
    1
    41,935.00
    Log archive I/O
    5,070
    0
    14
    3
    5,070.00
    Disk file operations I/O
    8,091
    0
    10
    1
    8,091.00
    log file sequential read
    3,024
    0
    6
    2
    3,024.00
    db file sequential read
    1,299
    0
    2
    2
    1,299.00
    latch: shared pool
    722
    0
    1
    1
    722.00
    enq: CF - contention
    4
    0
    1
    208
    4.00
    reliable message
    1,316
    0
    1
    1
    1,316.00
    log file sync
    71
    0
    1
    9
    71.00
    enq: CR - block range reuse ckpt
    36
    0
    0
    13
    36.00
    enq: JS - queue lock
    459
    0
    0
    1
    459.00
    log file single write
    414
    0
    0
    1
    414.00
    enq: PR - contention
    5
    0
    0
    57
    5.00
    asynch descriptor resize
    67,076
    100
    0
    0
    67,076.00
    LGWR wait for redo copy
    5,184
    0
    0
    0
    5,184.00
    rdbms ipc reply
    1,234
    0
    0
    0
    1,234.00
    ADR block file read
    384
    0
    0
    0
    384.00
    SQL*Net message to client
    189,490
    0
    0
    0
    189,490.00
    latch free
    559
    0
    0
    0
    559.00
    db file scattered read
    17
    0
    0
    6
    17.00
    resmgr:internal state change
    1
    100
    0
    100
    1.00
    direct path read
    301
    0
    0
    0
    301.00
    enq: RO - fast object reuse
    35
    0
    0
    2
    35.00
    direct path write
    122
    0
    0
    1
    122.00
    latch: cache buffers chains
    260
    0
    0
    0
    260.00
    db file parallel read
    1
    0
    0
    41
    1.00
    ADR file lock
    144
    0
    0
    0
    144.00
    latch: redo writing
    55
    0
    0
    1
    55.00
    ADR block file write
    120
    0
    0
    0
    120.00
    wait list latch free
    2
    0
    0
    10
    2.00
    latch: cache buffers lru chain
    44
    0
    0
    0
    44.00
    buffer busy waits
    3
    0
    0
    2
    3.00
    latch: call allocation
    57
    0
    0
    0
    57.00
    SQL*Net more data to client
    55
    0
    0
    0
    55.00
    ARCH wait for archivelog lock
    78
    0
    0
    0
    78.00
    rdbms ipc message
    3,157,653
    40
    4,058,370
    1285
    3,157,653.00
    Streams AQ: qmn slave idle wait
    11,826
    0
    172,828
    14614
    11,826.00
    DIAG idle wait
    170,978
    100
    172,681
    1010
    170,978.00
    dispatcher timer
    1,440
    100
    86,417
    60012
    1,440.00
    Streams AQ: qmn coordinator idle wait
    6,479
    48
    86,413
    13337
    6,479.00
    shared server idle wait
    2,879
    100
    86,401
    30011
    2,879.00
    Space Manager: slave idle wait
    17,258
    100
    86,324
    5002
    17,258.00
    pmon timer
    46,489
    62
    86,252
    1855
    46,489.00
    smon timer
    361
    66
    86,145
    238628
    361.00
    VKRM Idle
    1
    0
    14,401
    14400820
    1.00
    SQL*Net message from client
    253,909
    0
    419
    2
    253,909.00
    class slave wait
    379
    0
    0
    0
    379.00
    Back to Wait Events Statistics
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    Wait Event Histogram
    No data exists for this section of the report.
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    Wait Event Histogram Detail (64 msec to 2 sec)
    No data exists for this section of the report.
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    Wait Event Histogram Detail (4 sec to 2 min)
    No data exists for this section of the report.
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    Wait Event Histogram Detail (4 min to 1 hr)
    No data exists for this section of the report.
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    Service Statistics
    No data exists for this section of the report.
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    Service Wait Class Stats
    No data exists for this section of the report.
    Back to Wait Events Statistics
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    SQL Statistics
    SQL ordered by Elapsed Time
    SQL ordered by CPU Time
    SQL ordered by User I/O Wait Time
    SQL ordered by Gets
    SQL ordered by Reads
    SQL ordered by Physical Reads (UnOptimized)
    SQL ordered by Executions
    SQL ordered by Parse Calls
    SQL ordered by Sharable Memory
    SQL ordered by Version Count
    Complete List of SQL Text
    Back to Top
    SQL ordered by Elapsed Time
    No data exists for this section of the report.
    Back to SQL Statistics
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    SQL ordered by CPU Time
    No data exists for this section of the report.
    Back to SQL Statistics
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    SQL ordered by User I/O Wait Time
    No data exists for this section of the report.
    Back to SQL Statistics
    Back to Top
    SQL ordered by Gets
    No data exists for this section of the report.
    Back to SQL Statistics
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    SQL ordered by Reads
    No data exists for this section of the report.
    Back to SQL Statistics
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    SQL ordered by Physical Reads (UnOptimized)
    No data exists for this section of the report.
    Back to SQL Statistics
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    SQL ordered by Executions
    No data exists for this section of the report.
    Back to SQL Statistics
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    SQL ordered by Parse Calls
    No data exists for this section of the report.
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    SQL ordered by Sharable Memory
    No data exists for this section of the report.
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    SQL ordered by Version Count
    No data exists for this section of the report.
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    Complete List of SQL Text
    No data exists for this section of the report.
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    Instance Activity Statistics
    Instance Activity Stats
    Instance Activity Stats - Absolute Values
    Instance Activity Stats - Thread Activity
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    Instance Activity Stats
    No data exists for this section of the report.
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    Instance Activity Stats - Absolute Values
    No data exists for this section of the report.
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    Instance Activity Stats - Thread Activity
    Statistics identified by '(derived)' come from sources other than SYSSTAT
    Statistic
    Total
    per Hour
    log switches (derived)
    69
    2.87
    Back to Instance Activity Statistics
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    IO Stats
    IOStat by Function summary
    IOStat by Filetype summary
    IOStat by Function/Filetype summary
    Tablespace IO Stats
    File IO Stats
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    IOStat by Function summary
    'Data' columns suffixed with M,G,T,P are in multiples of 1024 other columns suffixed with K,M,G,T,P are in multiples of 1000
    ordered by (Data Read + Write) desc
    Function Name
    Reads: Data
    Reqs per sec
    Data per sec
    Writes: Data
    Reqs per sec
    Data per sec
    Waits: Count
    Avg Tm(ms)
    Others
    28.8G
    20.55
    .340727
    16.7G
    2.65
    .198442
    1803K
    0.01
    Direct Reads
    43.6G
    57.09
    .517021
    411M
    0.59
    .004755
    0
    LGWR
    19M
    0.02
    .000219
    41.9G
    21.87
    .496493
    2760
    0.08
    Direct Writes
    16M
    0.00
    .000185
    8.9G
    1.77
    .105927
    0
    DBWR
    0M
    0.00
    0M
    6.7G
    4.42
    .079670
    0
    Buffer Cache Reads
    3.1G
    3.67
    .037318
    0M
    0.00
    0M
    260.1K
    3.96
    TOTAL:
    75.6G
    81.33
    .895473
    74.7G
    31.31
    .885290
    2065.8K
    0.51
    Back to IO Stats
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    IOStat by Filetype summary
    'Data' columns suffixed with M,G,T,P are in multiples of 1024 other columns suffixed with K,M,G,T,P are in multiples of 1000
    Small Read and Large Read are average service times, in milliseconds
    Ordered by (Data Read + Write) desc
    Filetype Name
    Reads: Data
    Reqs per sec
    Data per sec
    Writes: Data
    Reqs per sec
    Data per sec
    Small Read
    Large Read
    Data File
    53.2G
    78.33
    .630701
    8.9G
    7.04
    .105197
    0.37
    21.51
    Log File
    13.9G
    0.18
    .164213
    41.9G
    21.85
    .496123
    0.02
    2.93
    Archive Log
    0M
    0.00
    0M
    13.9G
    0.16
    .164213
    Temp File
    5.6G
    0.67
    .066213
    8.1G
    0.80
    .096496
    5.33
    3713.27
    Control File
    2.9G
    2.16
    .034333
    2G
    1.46
    .023247
    0.05
    19.98

  • Is "Joins & For all entries" in same SQL Query Possible?

    Hi all Professional,
    Can we use "Inner Joins" and "For All Entries In" in the same SQL Query. if possible then pls clarify this query.
    Here I am using three Transparent Table and fetching data from them.
    SELECT abukrs abelnr ahkont axref2 ashkzg awrbtr agsber azfbdt azterm amwskz asgtxt axref1 agjahr abuzei
               bkunnr bwerks bmenge bmeins bmatnr bkoart
               cbukrs cbelnr cblart cbldat cbudat cxblnr cgjahr cstgrd cstblg cstblg c~xreversal
               INTO CORRESPONDING FIELDS OF TABLE it_bsid FROM ( ( bsid AS a
               INNER JOIN acctit AS b ON abukrs = bbukrs )
               INNER JOIN bkpf AS c ON cbukrs = abukrs
                                   AND cbelnr = abelnr
                                   AND cgjahr = agjahr )
               FOR ALL ENTRIES IN it_bkpf
                  WHERE
                    a~belnr EQ it_bkpf-belnr
                AND a~gjahr EQ it_bkpf-gjahr
                AND a~bukrs EQ it_bkpf-bukrs
                AND a~gsber IN so_bus.
    After executing this query, I'm getting Dump Error.
    Error analysis
        When the program was running, it was established that more
        memory was needed than the operating system is able to provide savely.
        To avoid a system crash, you must prevent this
        situation.
                   Last error logged in SAP kernel
        Component............ "EM"
        Place................ "SAP-Server Development_DVL_01 on host Development (wp
         2)"
        Version.............. 37
        Error code........... 7
        Error text........... "Warning: EM-Memory exhausted: Workprocess gets PRIV "
        Description.......... " "
        System call.......... " "
        Module............... "emxx.c"
        Line................. 1886
    Pls resolve, if anybody knows.
    Thanks
    Devinder

    Hi,
    During testing i notice that splitting into multiple selects does improve performance. But the best performance I achieved using DB Hints instead of splitting the select statements.
    Generally performance of joins together with for all entries is bad.
    However if you will look into SAP note 1662726 you will notice that this issue (bad performance in using join and for all entries together) has been addressed.
    Even though the note is for HANA DB, FM RSDU_CREATE_HINT_FAE can be used independent of DB.
    On HANA DB performance improvement is huge (i achieved 62 seconds using DB Hints compared to 1656 seconds using for all entries). On Oracle DB the same code initially run in 99 seconds with for all entries and with DB Hints in 82 seconds for ~ 1.000.000 records and ~660 seconds compared to 1349 seconds for ~8.000.000 records..
    Sample code from SAP Note below:
    Original statement:
    SELECT COL1 COL2 COL3 COL4 COL5
      FROM TAB1
      INTO CORRESPONDING FIELDS OF TABLE LT_RESULT
      FOR ALL ENTRIES IN LT_SOURCE_TMP
      WHERE COL3 = LT_SOURCE_TMP-COL3
      AND   COL4 = LT_SOURCE_TMP-COL4
      AND   COL5 = LT_SOURCE_TMP-COL5
    Revision:
    DATA: L_T_TABLNM TYPE RSDU_T_TABLNM,
          L_LINES TYPE I,
          L_HINT TYPE RSDU_HINT.
    APPEND 'TAB1' TO L_T_TABLNM.
    L_LINES = LINES( LT_SOURCE_TMP ).
    CALL FUNCTION 'RSDU_CREATE_HINT_FAE'
      EXPORTING
        I_T_TABLNM   = L_T_TABLNM
        I_FAE_FIELDS = 3
        I_FAE_LINES  = L_LINES
        I_EQUI_JOIN  = RS_C_TRUE
      IMPORTING
        E_HINT       = L_HINT
      EXCEPTIONS
        OTHERS       = 0.
    SELECT COL1 COL2 COL3 COL4 COL5
      FROM TAB1
      INTO CORRESPONDING FIELDS OF TABLE LT_RESULT
      FOR ALL ENTRIES IN LT_SOURCE_TMP
      WHERE COL3 = LT_SOURCE_TMP-COL3
      AND   COL4 = LT_SOURCE_TMP-COL4
      AND   COL5 = LT_SOURCE_TMP-COL5
              %_HINTS ADABAS  L_HINT.
    Best regards,
    Octavian

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