Optimizing the query performance?

When I run this query it takes 2-3 hours to bring the data. It pulls the data starting 2008 december. How can I optimize the performance for the below query?
SELECT e1.Eventdate,
TO_CHAR( TO_DATE (e1.eventdate, 'mmddyyyy, ), 'MM/DD/YYYY HH24:MI:SS' ),
e1.USERID,
Vu.display_name_FMLS as displayname,
e1.eventdetail1,
e1.eventtype
FROM event e1,
View_User VU
WHERE ((Vu.USERid = e1.USERID) or (Vu.UserLanid = e1.Userid))
AND Vu.Useractive ='1' and
e1.eventtype = 'SRCH'
AND e1.eventresults = '1'
AND NOT EXISTS (
SELECT 1
FROM event e2
WHERE e2.userid = e1.userid
AND e2.eventtype IN ('OPENTPC', 'OPENFAQ', 'KEYFACT')
AND e2.eventrecordid =
(SELECT MIN (eventrecordid)
FROM event e3
WHERE e3.userid = e2.userid
AND e3.eventrecordid > e1.eventrecordid))

not quite sure what your requirements are but just looking at this your are selecting from the same table (event) 3 times. couldn't you just get everything you need from the event table up front and then use case statements or aggregate functions or something to just pull the stuff you want.
maybe if you gave a bit of sample data and what the output should look like someone might come up with an approach that doesn't involve mutiple selects from the same table.

Similar Messages

How to improve the query performance in to report level and designer level

How to improve the query performance in to report level and designer level......?
Plz let me know the detail view......

first its all based on the design of the database, universe and the report.
at the universe Level, you have to check your Contexts very well to get the optimal performance of the universe and also your joins, keep your joins with key fields, will give you the best performance.
at the report level, try to make the reports dynamic as much as you can, (Parameters) and so on.
and when you create a paremeter try to get it match with the key fields in the database.
good luck
Amr

Having more LTSs in logical dimension table hit the query performance?

Hi,
We have a logical table having around 19 LTSs. Having more LTSs in logical dimension table hit the query performance?
Thanks,
Anilesh

Hi Anilesh,
Its kind of both YES and NO. Here is why...
NO:
LTS are supposed to give BI Server an optimistic and logical way to retrieve the data. So, having more Optimistic LTS might help the BI Server with some good options tailored to a variety of analysis requests.
YES:
Many times, we have to bring in multiple physical tables as a part of single LTS (Mostly when the physical model is a snowflake) which might cause performance issues. Say there is a LTS with two tables "A" and "B", but for a ad-hoc analysis just on columns in "A", the query would still include the join with table "B" if this LTS is being used. We might want to avoid this kind of situations with multiple LTS each for a table and one for both of them.
Hope this helps.
Thank you,
Dhar

How to improve the query performance

ALTER PROCEDURE [SPNAME]
@Portfolio INT,
@Program INT,
@Project INT
AS
BEGIN
--DECLARE @StartDate DATETIME
--DECLARE @EndDate DATETIME
--SET @StartDate = '11/01/2013'
--SET @EndDate = '02/28/2014'
IF OBJECT_ID('tempdb..#Dates') IS NOT NULL
DROP TABLE #Dates
IF OBJECT_ID('tempdb..#DailyTasks') IS NOT NULL
DROP TABLE #DailyTasks
CREATE TABLE #Dates(WorkDate DATE)
--CREATE INDEX IDX_Dates ON #Dates(WorkDate)
;WITH Dates AS
SELECT (@StartDate) DateValue
UNION ALL
SELECT DateValue + 1
FROM Dates
WHERE DateValue + 1 <= @EndDate
INSERT INTO #Dates
SELECT DateValue
FROM Dates D
LEFT JOIN tb_Holidays H
ON H.HolidayOn = D.DateValue
AND H.OfficeID = 2
WHERE DATEPART(dw,DateValue) NOT IN (1,7)
AND H.UID IS NULL
OPTION(MAXRECURSION 0)
SELECT TSK.TaskID,
TR.ResourceID,
WC.WorkDayCount,
(TSK.EstimateHrs/WC.WorkDayCount) EstimateHours,
D.WorkDate,
TSK.ProjectID,
RES.ResourceName
INTO #DailyTasks
FROM Tasks TSK
INNER JOIN TasksResource TR
ON TSK.TaskID = TR.TaskID
INNER JOIN tb_Resource RES
ON TR.ResourceID=RES.UID
OUTER APPLY (SELECT COUNT(*) WorkDayCount
FROM #Dates
WHERE WorkDate BETWEEN TSK.StartDate AND TSK.EndDate)WC
INNER JOIN #Dates D
ON WorkDate BETWEEN TSK.StartDate AND TSK.EndDate
-------WHERE TSK.ProjectID = @Project-----
SELECT D.ResourceID,
D.WorkDayCount,
SUM(D.EstimateHours/D.WorkDayCount) EstimateHours,
D.WorkDate,
T.TaskID,
D.ResourceName
FROM #DailyTasks D
OUTER APPLY (SELECT (SELECT CAST(TaskID AS VARCHAR(255))+ ','
FROM #DailyTasks DA
WHERE D.WorkDate = DA.WorkDate
AND D.ResourceID = DA.ResourceID
FOR XML PATH('')) AS TaskID) T
LEFT JOIN tb_Project PRJ
ON D.ProjectID=PRJ.UID
INNER JOIN tb_Program PR
ON PRJ.ProgramID=PR.UID
INNER JOIN tb_Portfolio PF
ON PR.PortfolioID=PF.UID
WHERE (@Portfolio = -1 or PF.UID = @Portfolio)
AND (@Program = -1 or PR.UID = @Program)
AND (@Project = -1 or PRJ.UID = @Project)
GROUP BY D.ResourceID,
D.WorkDate,
T.TaskID,
D.WorkDayCount,
D.ResourceName
HAVING SUM(D.EstimateHours/D.WorkDayCount) > 8
hi..
My SP is as above..
I connected this SP to dataset in SSRS report..as per my logic..Portfolio contains many Programs and Program contains many Projects.
When i selected the ALL value for parameters Program and Project..i'm unable to get output.
but when i select values for all 3 parameters i'm getting output. i took default values for paramters also.
so i commented the where condition in SP as shown above
--------where TSK.ProjectID=@Project-------------
now i'm getting output when selecting ALL value for parameters.
but here the issue is performance..it takes 10sec to retrieve for single project when i'm executing the sp.
how can i create index on temp table in this sp and how can i improve the query performance..
please help.
thanks in advance..
lucky

Didnt i provide you solution in other thread?
ALTER PROCEDURE [SPNAME]
@Portfolio INT,
@Program INT,
@Project INT
AS
BEGIN
--DECLARE @StartDate DATETIME
--DECLARE @EndDate DATETIME
--SET @StartDate = '11/01/2013'
--SET @EndDate = '02/28/2014'
IF OBJECT_ID('tempdb..#Dates') IS NOT NULL
DROP TABLE #Dates
IF OBJECT_ID('tempdb..#DailyTasks') IS NOT NULL
DROP TABLE #DailyTasks
CREATE TABLE #Dates(WorkDate DATE)
--CREATE INDEX IDX_Dates ON #Dates(WorkDate)
;WITH Dates AS
SELECT (@StartDate) DateValue
UNION ALL
SELECT DateValue + 1
FROM Dates
WHERE DateValue + 1 <= @EndDate
INSERT INTO #Dates
SELECT DateValue
FROM Dates D
LEFT JOIN tb_Holidays H
ON H.HolidayOn = D.DateValue
AND H.OfficeID = 2
WHERE DATEPART(dw,DateValue) NOT IN (1,7)
AND H.UID IS NULL
OPTION(MAXRECURSION 0)
SELECT TSK.TaskID,
TR.ResourceID,
WC.WorkDayCount,
(TSK.EstimateHrs/WC.WorkDayCount) EstimateHours,
D.WorkDate,
TSK.ProjectID,
RES.ResourceName
INTO #DailyTasks
FROM Tasks TSK
INNER JOIN TasksResource TR
ON TSK.TaskID = TR.TaskID
INNER JOIN tb_Resource RES
ON TR.ResourceID=RES.UID
OUTER APPLY (SELECT COUNT(*) WorkDayCount
FROM #Dates
WHERE WorkDate BETWEEN TSK.StartDate AND TSK.EndDate)WC
INNER JOIN #Dates D
ON WorkDate BETWEEN TSK.StartDate AND TSK.EndDate
WHERE (TSK.ProjectID = @Project OR @Project = -1)
SELECT D.ResourceID,
D.WorkDayCount,
SUM(D.EstimateHours/D.WorkDayCount) EstimateHours,
D.WorkDate,
T.TaskID,
D.ResourceName
FROM #DailyTasks D
OUTER APPLY (SELECT (SELECT CAST(TaskID AS VARCHAR(255))+ ','
FROM #DailyTasks DA
WHERE D.WorkDate = DA.WorkDate
AND D.ResourceID = DA.ResourceID
FOR XML PATH('')) AS TaskID) T
LEFT JOIN tb_Project PRJ
ON D.ProjectID=PRJ.UID
INNER JOIN tb_Program PR
ON PRJ.ProgramID=PR.UID
INNER JOIN tb_Portfolio PF
ON PR.PortfolioID=PF.UID
WHERE (@Portfolio = -1 or PF.UID = @Portfolio)
AND (@Program = -1 or PR.UID = @Program)
AND (@Project = -1 or PRJ.UID = @Project)
GROUP BY D.ResourceID,
D.WorkDate,
T.TaskID,
D.WorkDayCount,
D.ResourceName
HAVING SUM(D.EstimateHours/D.WorkDayCount) > 8
Please Mark This As Answer if it helps to solve the issue Visakh ---------------------------- http://visakhm.blogspot.com/ https://www.facebook.com/VmBlogs

How to improve the query performance or tune query from Explain Plan

Hi
The following is my explain plan for sql query. (The plan is generated by Toad v9.7). How to fix the query?
SELECT STATEMENT ALL_ROWSCost: 4,160 Bytes: 25,296 Cardinality: 204
     8 NESTED LOOPS Cost: 3 Bytes: 54 Cardinality: 1
          5 NESTED LOOPS Cost: 2 Bytes: 23 Cardinality: 1
               2 TABLE ACCESS BY INDEX ROWID TABLE AR.RA_CUSTOMER_TRX_ALL Cost: 1 Bytes: 13 Cardinality: 1
                    1 INDEX UNIQUE SCAN INDEX (UNIQUE) AR.RA_CUSTOMER_TRX_U1 Cost: 1 Cardinality: 1
               4 TABLE ACCESS BY INDEX ROWID TABLE AR.HZ_CUST_ACCOUNTS Cost: 1 Bytes: 10 Cardinality: 1
                    3 INDEX UNIQUE SCAN INDEX (UNIQUE) AR.HZ_CUST_ACCOUNTS_U1 Cost: 1 Cardinality: 1
          7 TABLE ACCESS BY INDEX ROWID TABLE AR.HZ_PARTIES Cost: 1 Bytes: 31 Cardinality: 1
               6 INDEX UNIQUE SCAN INDEX (UNIQUE) AR.HZ_PARTIES_U1 Cost: 1 Cardinality: 1
     10 TABLE ACCESS BY INDEX ROWID TABLE AR.RA_CUSTOMER_TRX_ALL Cost: 1 Bytes: 12 Cardinality: 1
          9 INDEX UNIQUE SCAN INDEX (UNIQUE) AR.RA_CUSTOMER_TRX_U1 Cost: 1 Cardinality: 1
     15 NESTED LOOPS Cost: 2 Bytes: 29 Cardinality: 1
          12 TABLE ACCESS BY INDEX ROWID TABLE AR.RA_CUSTOMER_TRX_ALL Cost: 1 Bytes: 12 Cardinality: 1
               11 INDEX UNIQUE SCAN INDEX (UNIQUE) AR.RA_CUSTOMER_TRX_U1 Cost: 1 Cardinality: 1
          14 TABLE ACCESS BY INDEX ROWID TABLE ONT.OE_ORDER_HEADERS_ALL Cost: 1 Bytes: 17 Cardinality: 1
               13 INDEX RANGE SCAN INDEX (UNIQUE) ONT.OE_ORDER_HEADERS_U2 Cost: 1 Cardinality: 1
     21 FILTER
          16 TABLE ACCESS FULL TABLE ONT.OE_TRANSACTION_TYPES_TL Cost: 2 Bytes: 1,127 Cardinality: 49
          20 NESTED LOOPS Cost: 2 Bytes: 21 Cardinality: 1
               18 TABLE ACCESS BY INDEX ROWID TABLE AR.RA_CUSTOMER_TRX_ALL Cost: 1 Bytes: 12 Cardinality: 1
                    17 INDEX UNIQUE SCAN INDEX (UNIQUE) AR.RA_CUSTOMER_TRX_U1 Cost: 1 Cardinality: 1
               19 INDEX RANGE SCAN INDEX (UNIQUE) ONT.OE_ORDER_HEADERS_U2 Cost: 1 Bytes: 9 Cardinality: 1
     23 TABLE ACCESS BY INDEX ROWID TABLE AR.RA_CUSTOMER_TRX_ALL Cost: 1 Bytes: 12 Cardinality: 1
          22 INDEX UNIQUE SCAN INDEX (UNIQUE) AR.RA_CUSTOMER_TRX_U1 Cost: 1 Cardinality: 1
     45 NESTED LOOPS Cost: 4,160 Bytes: 25,296 Cardinality: 204
          42 NESTED LOOPS Cost: 4,150 Bytes: 23,052 Cardinality: 204
               38 NESTED LOOPS Cost: 4,140 Bytes: 19,992 Cardinality: 204
                    34 NESTED LOOPS Cost: 4,094 Bytes: 75,850 Cardinality: 925
                         30 NESTED LOOPS Cost: 3,909 Bytes: 210,843 Cardinality: 3,699
                              26 PARTITION LIST ALL Cost: 2,436 Bytes: 338,491 Cardinality: 14,717 Partition #: 29 Partitions accessed #1 - #18
                                   25 TABLE ACCESS BY LOCAL INDEX ROWID TABLE XLA.XLA_AE_HEADERS Cost: 2,436 Bytes: 338,491 Cardinality: 14,717 Partition #: 29 Partitions accessed #1 - #18
                                        24 INDEX SKIP SCAN INDEX XLA.XLA_AE_HEADERS_N1 Cost: 264 Cardinality: 1,398,115 Partition #: 29 Partitions accessed #1 - #18
                              29 PARTITION LIST ITERATOR Cost: 1 Bytes: 34 Cardinality: 1 Partition #: 32
                                   28 TABLE ACCESS BY LOCAL INDEX ROWID TABLE XLA.XLA_AE_LINES Cost: 1 Bytes: 34 Cardinality: 1 Partition #: 32
                                        27 INDEX RANGE SCAN INDEX (UNIQUE) XLA.XLA_AE_LINES_U1 Cost: 1 Cardinality: 1 Partition #: 32
                         33 PARTITION LIST ITERATOR Cost: 1 Bytes: 25 Cardinality: 1 Partition #: 35
                              32 TABLE ACCESS BY LOCAL INDEX ROWID TABLE XLA.XLA_DISTRIBUTION_LINKS Cost: 1 Bytes: 25 Cardinality: 1 Partition #: 35
                                   31 INDEX RANGE SCAN INDEX XLA.XLA_DISTRIBUTION_LINKS_N3 Cost: 1 Cardinality: 1 Partition #: 35
                    37 PARTITION LIST SINGLE Cost: 1 Bytes: 16 Cardinality: 1 Partition #: 38
                         36 TABLE ACCESS BY LOCAL INDEX ROWID TABLE XLA.XLA_EVENTS Cost: 1 Bytes: 16 Cardinality: 1 Partition #: 39 Partitions accessed #2
                              35 INDEX UNIQUE SCAN INDEX (UNIQUE) XLA.XLA_EVENTS_U1 Cost: 1 Cardinality: 1 Partition #: 40 Partitions accessed #2
               41 PARTITION LIST SINGLE Cost: 1 Bytes: 15 Cardinality: 1 Partition #: 41
                    40 TABLE ACCESS BY LOCAL INDEX ROWID TABLE XLA.XLA_TRANSACTION_ENTITIES Cost: 1 Bytes: 15 Cardinality: 1 Partition #: 42 Partitions accessed #2
                         39 INDEX UNIQUE SCAN INDEX (UNIQUE) XLA.XLA_TRANSACTION_ENTITIES_U1 Cost: 1 Cardinality: 1 Partition #: 43 Partitions accessed #2
          44 TABLE ACCESS BY INDEX ROWID TABLE GL.GL_CODE_COMBINATIONS Cost: 1 Bytes: 11 Cardinality: 1
               43 INDEX UNIQUE SCAN INDEX (UNIQUE) GL.GL_CODE_COMBINATIONS_U1 Cost: 1 Cardinality: 1

damorgan wrote:
Tuning is NOT about reducing the cost of i/o.
i/o is only one of many contributors to cost and only one of many contributors to waits.
Any time you would like to explore this further run this code:
SELECT 1 FROM dual
WHERE regexp_like(' ','^*[ ]*a');but not on a production box because you are going to experience an extreme tuning event with zero i/o.
And when I say "extreme" I mean "EXTREME!"
You've been warned.I think you just need a faster server.
SQL> set autotrace traceonly statistics
SQL> set timing on
SQL> select 1 from dual
2 where
3 regexp_like   (' ','^*[ ]*a');
no rows selected
Elapsed: 00:00:00.00
Statistics
          1 recursive calls
          0 db block gets
          0 consistent gets
          0 physical reads
          0 redo size
        243 bytes sent via SQL*Net to client
        349 bytes received via SQL*Net from client
          1 SQL*Net roundtrips to/from client
          0 sorts (memory)
          0 sorts (disk)
          0 rows processedRepeated from an Oracle 10.2.0.x instance:
SQL> SELECT DISTINCT SID FROM V$MYSTAT;
       SID
       310
SQL> ALTER SESSION SET EVENTS '10053 TRACE NAME CONTEXT FOREVER, LEVEL 1';
Session altered.
SQL> select 1 from dual
2 where
3 regexp_like   (' ','^*[ ]*a');The session is hung. Wait a little while and connect to the database using a different session:
COLUMN STAT_NAME FORMAT A35 TRU
SET PAGESIZE 200
SELECT
STAT_NAME,
VALUE
FROM
V$SESS_TIME_MODEL
WHERE
SID=310;
STAT_NAME                                VALUE
DB time                                   9247
DB CPU                                    9247
background elapsed time                      0
background cpu time                          0
sequence load elapsed time                   0
parse time elapsed                        6374
hard parse elapsed time                   5997
sql execute elapsed time                  2939
connection management call elapsed        1660
failed parse elapsed time                    0
failed parse (out of shared memory)          0
hard parse (sharing criteria) elaps          0
hard parse (bind mismatch) elapsed           0
PL/SQL execution elapsed time               95
inbound PL/SQL rpc elapsed time              0
PL/SQL compilation elapsed time              0
Java execution elapsed time                  0
repeated bind elapsed time                  48
RMAN cpu time (backup/restore)               0Seems to be using a bit of time for the hard parse (hard parse elapsed time). Wait a little while, then re-execute the query:
STAT_NAME                                VALUE
DB time                                   9247
DB CPU                                    9247
background elapsed time                      0
background cpu time                          0
sequence load elapsed time                   0
parse time elapsed                        6374
hard parse elapsed time                   5997
sql execute elapsed time                  2939
connection management call elapsed        1660
failed parse elapsed time                    0
failed parse (out of shared memory)          0
hard parse (sharing criteria) elaps          0
hard parse (bind mismatch) elapsed           0
PL/SQL execution elapsed time               95
inbound PL/SQL rpc elapsed time              0
PL/SQL compilation elapsed time              0
Java execution elapsed time                  0
repeated bind elapsed time                  48
RMAN cpu time (backup/restore)               0The session is not reporting additional CPU usage or parse time.
Let's check one of the session's statistics:
SELECT
SS.VALUE
FROM
V$SESSTAT SS,
V$STATNAME SN
WHERE
SN.NAME='consistent gets'
AND SN.STATISTIC#=SS.STATISTIC#
AND SS.SID=310;
     VALUE
       163Not many consistent gets after 20+ minutes.
Let's take a look at the plan:
SQL> SELECT SQL_ID,CHILD_NUMBER FROM V$SQL WHERE SQL_TEXT LIKE 'select 1 from du
al%';
SQL_ID        CHILD_NUMBER
04mpgrzhsv72w            0
SELECT * FROM TABLE(DBMS_XPLAN.DISPLAY_CURSOR('04mpgrzhsv72w',0,'TYPICAL'))
select 1 from dual where regexp_like   (' ','^*[ ]*a')
NOTE: cannot fetch plan for SQL_ID: 04mpgrzhsv72w, CHILD_NUMBER: 0
      Please verify value of SQL_ID and CHILD_NUMBER;
      It could also be that the plan is no longer in cursor cache (check v$sql_p
lan)No plan...
Let's take a look at the 10053 trace file:
Registered qb: SEL$1 0x19157f38 (PARSER)
signature (): qb_name=SEL$1 nbfros=1 flg=0
    fro(0): flg=4 objn=258 hint_alias="DUAL"@"SEL$1"
Predicate Move-Around (PM)
PM: Considering predicate move-around in SEL$1 (#0).
PM:   Checking validity of predicate move-around in SEL$1 (#0).
CBQT: Validity checks failed for 7uqx4guu04x3g.
CVM: Considering view merge in query block SEL$1 (#0)
CBQT: Validity checks failed for 7uqx4guu04x3g.
Subquery Unnest
SU: Considering subquery unnesting in query block SEL$1 (#0)
Set-Join Conversion (SJC)
SJC: Considering set-join conversion in SEL$1 (#0).
Predicate Move-Around (PM)
PM: Considering predicate move-around in SEL$1 (#0).
PM:   Checking validity of predicate move-around in SEL$1 (#0).
PM:     PM bypassed: Outer query contains no views.
FPD: Considering simple filter push in SEL$1 (#0)
FPD:   Current where clause predicates in SEL$1 (#0) :
          REGEXP_LIKE (' ','^*[ ]*a')
kkogcp: try to generate transitive predicate from check constraints for SEL$1 (#0)
predicates with check contraints: REGEXP_LIKE (' ','^*[ ]*a')
after transitive predicate generation: REGEXP_LIKE (' ','^*[ ]*a')
finally: REGEXP_LIKE (' ','^*[ ]*a')
apadrv-start: call(in-use=592, alloc=16344), compile(in-use=37448, alloc=42256)
kkoqbc-start
            : call(in-use=592, alloc=16344), compile(in-use=38336, alloc=42256)
kkoqbc-subheap (create addr=000000001915C238)Looks like the query never had a chance to start executing - it is still parsing after 20 minutes.
I am not sure that this is a good example - the query either executes very fast, or never has a chance to start executing. But, it might still make your point physical I/O is not always the problem when performance problems are experienced.
Charles Hooper
IT Manager/Oracle DBA
K&M Machine-Fabricating, Inc.

Plz help in optimizing the query

I have a query which is written to cater to the scenario that the entered start and end date do not overlap with the start and end date already present in the database records. Can someone help in optimizing this query. all inclusion and exclusion scenario's have to be taken care of.
the query is as follows:
SELECT COUNT(*) FROM CLAS WHERE TRIM(UPPER(CLAS_CDE)) =UPPER('timecheck') AND TRIM(UPPER(CLAS_TYPE_CDE))=UPPER('TEST_3')
AND TRIM(UPPER(LANG_CDE))=UPPER('en')
AND (
(END_DT BETWEEN TO_DATE('09/13/2007','MM/DD/YYYY') AND TO_DATE('09/15/2007','MM/DD/YYYY'))
OR
(START_DT BETWEEN TO_DATE('09/13/2007','MM/DD/YYYY') AND TO_DATE('09/15/2007','MM/DD/YYYY'))
OR (
(START_DT BETWEEN TO_DATE('09/13/2007','MM/DD/YYYY') AND TO_DATE('09/15/2007','MM/DD/YYYY'))
AND
(END_DT BETWEEN TO_DATE('09/13/2007','MM/DD/YYYY') AND TO_DATE('09/15/2007','MM/DD/YYYY'))
OR(('09/13/2007' BETWEEN TO_CHAR(START_DT,'MM/DD/YYYY') AND TO_CHAR(END_DT,'MM/DD/YYYY'))
AND ('09/15/2007' BETWEEN TO_CHAR(START_DT,'MM/DD/YYYY') AND TO_CHAR(END_DT,'MM/DD/YYYY'))
);

I format your code in different way:
SELECT COUNT(*)
FROM CLAS
WHERE TRIM(UPPER(CLAS_CDE)) = UPPER('timecheck')
AND TRIM(UPPER(CLAS_TYPE_CDE))=UPPER('TEST_3')
AND TRIM(UPPER(LANG_CDE))=UPPER('en')
   AND (
     (END_DT BETWEEN TO_DATE('09/13/2007','MM/DD/YYYY') AND TO_DATE('09/15/2007','MM/DD/YYYY'))
        OR
     (START_DT BETWEEN TO_DATE('09/13/2007','MM/DD/YYYY') AND TO_DATE('09/15/2007','MM/DD/YYYY'))
        OR (
          (START_DT BETWEEN TO_DATE('09/13/2007','MM/DD/YYYY') AND TO_DATE('09/15/2007','MM/DD/YYYY'))
          AND
          (END_DT BETWEEN TO_DATE('09/13/2007','MM/DD/YYYY') AND TO_DATE('09/15/2007','MM/DD/YYYY'))
     OR (
          ('09/13/2007' BETWEEN TO_CHAR(START_DT,'MM/DD/YYYY') AND TO_CHAR(END_DT,'MM/DD/YYYY'))
          AND
          ('09/15/2007' BETWEEN TO_CHAR(START_DT,'MM/DD/YYYY') AND TO_CHAR(END_DT,'MM/DD/YYYY'))
      );First thought that cross my mind it to check if changing this:
UPPER('timecheck') to simple:
'TIMECHECK' and do the same with other expressions with UPPER function.
Peter D.

Help to rewrite the query --performance issue

Hi ,
Please help to rewrite the query since it's performance is not good.Especially second inline query(CASE statements are therein select caluse ..)is taking more cost.
Database Oracle Database 10g Enterprise Edition Release 10.2.0.2.0 - 64bi
SELECT *
FROM
(SELECT q.*,
 COUNT(*) OVER() AS record_count,
 ROWNUM AS row_num
FROM
 (SELECT ExName.examiner_code,
 examiner_name,
 :v_year,
 :v_month,
 count_fb,
 NVL(count_entered_fb, 0) count_entered_fb,
 NVL(count_sent_fb, 0) count_sent_fb,
 NVL(count_edited_fb, 0) count_edited_fb,
 NVL(count_complete_fb, 0) count_complete_fb,
 NVL(count_withibcardiff_fb, 0) count_withibcardiff_fb
 FROM
 (SELECT examiner_code,
 COUNT(*) AS count_fb
 FROM
 (SELECT
 examiner_code,
 paper_code,
 assessment_school
 FROM
 ( SELECT DISTINCT ce.examiner_code,
 ce.paper_code,
 ce.assessment_school
 FROM
 (SELECT
 DISTINCT assessment_school,
 paper_code,
 examiner_code
 FROM candidate_examiner_allocation cea
 WHERE cea.element = 'Moderation of IA'
 AND cea.year = :v_year
 AND cea.month = :v_month
 ) ce,
 subject_group sg,
 subject_component sc
 WHERE (:v_padded_examiner_code IS NULL
 OR ce.examiner_code = :v_padded_examiner_code)
 AND (:v_subject_group IS NULL
 OR sg.group_number = :v_subject_group)
 AND sg.year = :v_year
 AND sg.month = :v_month
 AND sc.year = :v_year
 AND sc.month = :v_month
 AND sc.paper_code = ce.paper_code
 AND sc.subject = sg.subject
 AND sc.lvl = sg.lvl
 AND (:v_subject IS NULL
 OR sc.subject = :v_subject)
 AND (:v_lvl IS NULL
 OR sc.lvl = :v_lvl)
 ) ea
 GROUP BY examiner_code
 ) ExName,
 (SELECT examiner_code,
 COUNT(
 CASE
 WHEN UPPER(wfi.status) = 'ENTERED'
 THEN 1
 ELSE NULL
 END) AS count_entered_fb,
 COUNT(
 CASE
 WHEN UPPER(wfi.status) = 'SENT'
 THEN 1
 ELSE NULL
 END) AS count_sent_fb,
 COUNT(
 CASE
 WHEN UPPER(wfi.status) = 'EDITED'
 THEN 1
 ELSE NULL
 END) AS count_edited_fb,
 COUNT(
 CASE
 WHEN UPPER(wfi.status) = 'COMPLETE'
 THEN 1
 ELSE NULL
 END) AS count_complete_fb,
 COUNT(
 CASE
 WHEN UPPER(wfi.status) = 'WITH IBCARDIFF'
 THEN 1
 ELSE NULL
 END) AS count_withibcardiff_fb
 FROM ia_instances ia1,
 workflow_instance wfi
 WHERE wfi.instance_id = ia1.workflow_instance_id
 AND ia1.year = :v_year
 AND ia1.month = :v_month
 GROUP BY ia1.year,
 ia1.month,
 examiner_code
 ) iaF,
 (SELECT person_code,
 title
 || ' '
 || firstname
 || ' '
 || lastname AS examiner_name
 FROM person
 WHERE :v_examiner_name IS NULL
 OR UPPER(title
 || ' '
 || firstname
 || ' '
 || lastname) LIKE :v_search_examiner_name
 ) P
 WHERE ExName.examiner_code = iaF.examiner_code (+)
 AND ExName.examiner_code = p.person_code
 ORDER BY ExName.examiner_code
 ) q
) rc
WHERE row_num >= :v_start_row
AND row_num <= (:v_start_row+(:v_max_row-1));explain plan
line 1: SQLPLUS Command Skipped: set linesize 130
line 2: SQLPLUS Command Skipped: set pagesize 0
PLAN_TABLE_OUTPUT
Plan hash value: 1581970599
| Id | Operation | Name | Rows | Bytes |TempSpc| Cost (%CPU)| Time |
| 0 | SELECT STATEMENT | | 1 | 276 | | 2187 (6)| 00:00:34 |
|* 1 | FILTER | | | | | | |
|* 2 | VIEW | | 1 | 276 | | 2187 (6)| 00:00:34 |
| 3 | WINDOW BUFFER | | 1 | 250 | | 2187 (6)| 00:00:34 |
| 4 | COUNT | | | | | | |
| 5 | VIEW | | 1 | 250 | | 2187 (6)| 00:00:34 |
| 6 | SORT ORDER BY | | 1 | 119 | | 2187 (6)| 00:00:34 |
| 7 | NESTED LOOPS | | 1 | 119 | | 2186 (6)| 00:00:34 |
|* 8 | HASH JOIN OUTER | | 1 | 92 | | 2185 (6)| 00:00:34 |
| 9 | VIEW | | 1 | 20 | | 51 (4)| 00:00:01 |
| 10 | SORT GROUP BY | | 1 | 7 | | 51 (4)| 00:00:01 |
| 11 | VIEW | | 1 | 7 | | 51 (4)| 00:00:01 |
| 12 | SORT UNIQUE | | 1 | 127 | | 51 (4)| 00:00:01 |
| 13 | NESTED LOOPS | | 1 | 127 | | 50 (2)| 00:00:01 |
|* 14 | HASH JOIN | | 1 | 68 | | 44 (3)| 00:00:01 |
|* 15 | TABLE ACCESS BY INDEX ROWID| SUBJECT_COMPONENT | 13 | 520 | | 40 (0)| 00:00:01 |
|* 16 | INDEX RANGE SCAN | SUBJECT_COMPONENT_ASSESS_TYPE | 1059 | | | 9 (0)| 00:00:01 |
|* 17 | INDEX RANGE SCAN | SUBJECT_GROUP_PK | 41 | 1148 | | 3 (0)| 00:00:01 |
|* 18 | INDEX RANGE SCAN | CEA_AUTOMATIC_ALLOCATION_STATS | 5 | 295 | | 6 (0)| 00:00:01 |
| 19 | VIEW | | 679 | 48888 | | 2133 (6)| 00:00:33 |
| 20 | SORT GROUP BY | | 679 | 25123 | | 2133 (6)| 00:00:33 |
|* 21 | HASH JOIN | | 52408 | 1893K| 1744K| 2126 (6)| 00:00:33 |
| 22 | TABLE ACCESS BY INDEX ROWID | IA_INSTANCES | 52408 | 1125K| | 688 (1)| 00:00:11 |
|* 23 | INDEX RANGE SCAN | IND_IA_INSTANCES | 49077 | | | 137 (2)| 00:00:03 |
| 24 | TABLE ACCESS FULL | WORKFLOW_INSTANCE | 1075K| 15M| | 960 (7)| 00:00:15 |
|* 25 | TABLE ACCESS BY INDEX ROWID | PERSON | 1 | 27 | | 1 (0)| 00:00:01 |
|* 26 | INDEX UNIQUE SCAN | PERSON_PK | 1 | | | 0 (0)| 00:00:01 |
Predicate Information (identified by operation id):
 1 - filter(TO_NUMBER(:V_START_ROW)<=TO_NUMBER(:V_START_ROW)+(TO_NUMBER(:V_MAX_ROW)-1))
 2 - filter("ROW_NUM">=TO_NUMBER(:V_START_ROW) AND "ROW_NUM"<=TO_NUMBER(:V_START_ROW)+(TO_NUMBER(:V_MAX_ROW)-1))
 8 - access("EXNAME"."EXAMINER_CODE"="IAF"."EXAMINER_CODE"(+))
14 - access("SC"."SUBJECT"="SG"."SUBJECT" AND "SC"."LVL"="SG"."LVL")
15 - filter((:V_SUBJECT IS NULL OR "SC"."SUBJECT"=:V_SUBJECT) AND ("SC"."LVL"=:V_LVL OR :V_LVL IS NULL))
16 - access("SC"."YEAR"=TO_NUMBER(:V_YEAR) AND "SC"."MONTH"=:V_MONTH)
17 - access("SG"."YEAR"=TO_NUMBER(:V_YEAR) AND "SG"."MONTH"=:V_MONTH)
 filter(:V_SUBJECT_GROUP IS NULL OR "SG"."GROUP_NUMBER"=TO_NUMBER(:V_SUBJECT_GROUP))
18 - access("CEA"."YEAR"=TO_NUMBER(:V_YEAR) AND "CEA"."MONTH"=:V_MONTH AND "SC"."PAPER_CODE"="PAPER_CODE" AND
 "CEA"."ELEMENT"='Moderation of IA')
 filter("CEA"."ELEMENT"='Moderation of IA' AND (:V_PADDED_EXAMINER_CODE IS NULL OR
 "EXAMINER_CODE"=:V_PADDED_EXAMINER_CODE))
21 - access("WFI"."INSTANCE_ID"="IA1"."WORKFLOW_INSTANCE_ID")
23 - access("IA1"."YEAR"=TO_NUMBER(:V_YEAR) AND "IA1"."MONTH"=:V_MONTH)
25 - filter(:V_EXAMINER_NAME IS NULL OR UPPER("TITLE"||' '||"FIRSTNAME"||' '||"LASTNAME") LIKE :V_SEARCH_EXAMINER_NAME)
26 - access("EXNAME"."EXAMINER_CODE"="PERSON_CODE")
53 rows selected

Hi,
please find the below rigjt explan paln.
PLAN_TABLE_OUTPUT
SQL_ID 2ct41vyyzqyh7, child number 0
SELECT * FROM (SELECT q.*, COUNT(*) OVER() AS record_count, ROWNUM AS row_num FROM (SELECT
ExName.examiner_code, examiner_name, :v_year, :v_month, count_fb, NVL(count_entered_fb,
0) count_entered_fb, NVL(count_sent_fb, 0) count_sent_fb, NVL(count_edited_fb, 0) count_edited_fb,
NVL(count_complete_fb, 0) count_complete_fb, NVL(count_withibcardiff_fb, 0) count_withibcardiff_fb FROM
(SELECT examiner_code, COUNT(*) AS count_fb FROM (SELECT
 examiner_code, paper_code, assessment_school FROM ( SELECT DISTINCT
ce.examiner_code, ce.paper_code, ce.assessment_school FROM (SELECT
 DISTINCT assessment_school,
paper_code, examiner
Plan hash value: 651311258
| Id | Operation | Name | Rows | Bytes |TempSpc| Cost (%CPU)| Time |
| 0 | SELECT STATEMENT | | | | | 2785 (100)| |
|* 1 | FILTER | | | | | | |
|* 2 | VIEW | | 4 | 1104 | | 2785 (7)| 00:00:43 |
| 3 | WINDOW BUFFER | | 4 | 1000 | | 2785 (7)| 00:00:43 |
| 4 | COUNT | | | | | | |
| 5 | VIEW | | 4 | 1000 | | 2785 (7)| 00:00:43 |
| 6 | NESTED LOOPS | | 4 | 476 | | 2785 (7)| 00:00:43 |
| 7 | MERGE JOIN OUTER | | 4 | 368 | | 2781 (7)| 00:00:43 |
| 8 | VIEW | | 4 | 80 | | 72 (3)| 00:00:02 |
| 9 | SORT GROUP BY | | 4 | 28 | | 72 (3)| 00:00:02 |
| 10 | VIEW | | 4 | 28 | | 72 (3)| 00:00:02 |
| 11 | SORT UNIQUE | | 4 | 508 | | 72 (3)| 00:00:02 |
| 12 | NESTED LOOPS | | 4 | 508 | | 71 (2)| 00:00:02 |
|* 13 | HASH JOIN | | 1 | 68 | | 44 (3)| 00:00:01 |
|* 14 | TABLE ACCESS BY INDEX ROWID| SUBJECT_COMPONENT | 13 | 520 | | 40 (0)| 00:00:01 |
|* 15 | INDEX RANGE SCAN | SUBJECT_COMPONENT_ASSESS_TYPE | 1059 | | | 9 (0)| 00:00:01 |
|* 16 | INDEX RANGE SCAN | SUBJECT_GROUP_PK | 41 | 1148 | | 3 (0)| 00:00:01 |
|* 17 | INDEX RANGE SCAN | CEA_AUTOMATIC_ALLOCATION_STATS | 30 | 1770 | | 27 (0)| 00:00:01 |
|* 18 | SORT JOIN | | 576 | 41472 | | 2709 (7)| 00:00:42 |
| 19 | VIEW | | 576 | 41472 | | 2708 (7)| 00:00:42 |
| 20 | SORT GROUP BY | | 576 | 21312 | | 2708 (7)| 00:00:42 |
|* 21 | HASH JOIN | | 52408 | 1893K| 1744K| 2701 (7)| 00:00:41 |
|* 22 | TABLE ACCESS FULL | IA_INSTANCES | 52408 | 1125K| | 1263 (6)| 00:00:20 |
| 23 | TABLE ACCESS FULL | WORKFLOW_INSTANCE | 1075K| 15M| | 960 (7)| 00:00:15 |
|* 24 | TABLE ACCESS BY INDEX ROWID | PERSON | 1 | 27 | | 1 (0)| 00:00:01 |
|* 25 | INDEX UNIQUE SCAN | PERSON_PK | 1 | | | 0 (0)| |
Predicate Information (identified by operation id):
 1 - filter(TO_NUMBER(:V_START_ROW)<=TO_NUMBER(:V_START_ROW)+(TO_NUMBER(:V_MAX_ROW)-1))
 2 - filter(("ROW_NUM">=TO_NUMBER(:V_START_ROW) AND "ROW_NUM"<=TO_NUMBER(:V_START_ROW)+(TO_NUMBER(:V_MAX_ROW)-1)))
13 - access("SC"."SUBJECT"="SG"."SUBJECT" AND "SC"."LVL"="SG"."LVL")
14 - filter(((:V_SUBJECT IS NULL OR "SC"."SUBJECT"=:V_SUBJECT) AND ("SC"."LVL"=:V_LVL OR :V_LVL IS NULL)))
15 - access("SC"."YEAR"=TO_NUMBER(:V_YEAR) AND "SC"."MONTH"=:V_MONTH)
16 - access("SG"."YEAR"=TO_NUMBER(:V_YEAR) AND "SG"."MONTH"=:V_MONTH)
 filter((:V_SUBJECT_GROUP IS NULL OR "SG"."GROUP_NUMBER"=TO_NUMBER(:V_SUBJECT_GROUP)))
17 - access("CEA"."YEAR"=TO_NUMBER(:V_YEAR) AND "CEA"."MONTH"=:V_MONTH AND "SC"."PAPER_CODE"="PAPER_CODE" AND
 "CEA"."ELEMENT"='Moderation of IA')
 filter(("CEA"."ELEMENT"='Moderation of IA' AND (:V_PADDED_EXAMINER_CODE IS NULL OR
 "EXAMINER_CODE"=:V_PADDED_EXAMINER_CODE)))
18 - access("EXNAME"."EXAMINER_CODE"="IAF"."EXAMINER_CODE")
 filter("EXNAME"."EXAMINER_CODE"="IAF"."EXAMINER_CODE")
21 - access("WFI"."INSTANCE_ID"="IA1"."WORKFLOW_INSTANCE_ID")
22 - filter(("IA1"."MONTH"=:V_MONTH AND "IA1"."YEAR"=TO_NUMBER(:V_YEAR)))
24 - filter((:V_EXAMINER_NAME IS NULL OR UPPER("TITLE"||' '||"FIRSTNAME"||' '||"LASTNAME") LIKE :V_SEARCH_EXAMINER_NAME))
25 - access("EXNAME"."EXAMINER_CODE"="PERSON_CODE")
66 rows selected

Parameters to be considered for tuning the QUERY Performance.

Hi Guys
I wanted to identify the Query which is taking more resources through the Dynamic performance views and not through OEM.I wanter to tune the Query.
Please suggest me on this. Also i wanted to know what are all the parameters to be considered for tuning a query like Query execution time, I/O Hits, Library cache hits, etc and from which performance view these paramaters can be taken. I also wanted to know how to find the size of library cache and how much queries can be holded in a library cache and what will be the retention of queries in library cache and how to retrive the queries from Library cache.
Thanks a lot
Edited by: user448837 on Sep 23, 2008 9:24 PM

Hmm there is a parameter called makemyquery=super_fast, check that ;-).
Ok jokes apart, your question is like asking a doctor that when a person is sick than how to troubleshoot his sickeness? So does a doctor start giving medicine immediately? No right? He has to check some symptoms of the patient. The same is applicable to the query also. There is no view as such which would tell you the performance of the query ie it is good or bad. Tell me if a query is taking up 5 minutes and I come and tell you this, what would you say its good or bad or the query took this much CPU time what would you say, its too much or too less? I am sure your answers would be "it depends". That's the key point.
The supermost point in the performance check is two things, one the plan of the query. What kind of plan optimizer took for the query and whether it was really good or not? There are millions os ways to do som ething but the idea is to do it in the best way. That's what the idea of reading explain plan. I would suggest get your self familiar with explain plan's various paths and their pros and cons. Also about the query's charectristics, you can check V$sql, v$sqlarea , V$sql_text views.
Your other question that you want to check the size of the library cache , its contents and the retention, I would say that its all internally managed. You never size library cache but shared pool only. Similary the best bet for a dba/developer is to check the queries are mostly shareable and there wont be any duplicate sqls. So the cursor_sharing parameter can be used for this. The control is not given to us to manage the rentention or the flushing of the queries from the cache.
HTH
Aman....

Improve the query performance

Hi, I need help for improving query performance..
I have a query in which i am joining 2 tables, join after some aggregation. Both table has more than 50 million record.
There is no index created on these table,both tables are loaded after truncation. So is it required to create index on this table before joining? The query status was showing 'suspended' since it was running for long time. For temporary purpose, i just executed
the query multiple times by changing month filter each times.
How can i improve this instead of adding month filter and running multiple times

Hi Nikkred,
According to your description, you are joining 2 table which contain more than 50 million records. Now what you want is improving query performance, right?
Query tuning is not an easy task. Basically it depends on three factors: your degree of knowledge, the query itself and the amount of optimization required. So in your scenario, you can post your detail query, so that you can get more help. Besides, you
can create index on your table which can improve the performance. Here are some links about performance tuning tips for you reference.
http://www.mssqltips.com/sql-server-tip-category/9/performance-tuning/
http://www.infoworld.com/d/data-management/7-performance-tips-faster-sql-queries-262
Regards,
Charlie Liao
TechNet Community Support

Need help in optimizing the query with joins and group by clause

I am having problem in executing the query below.. it is taking lot of time. To simplify, I have added the two tables FILE_STATUS = stores the file load details and COMM table that is actual business commission table showing records successfully processed and which records were transmitted to other system. Records with status = T is trasnmitted to other system and traansactions with P is pending.
CREATE TABLE FILE_STATUS
(FILE_ID VARCHAR2(14),
FILE_NAME VARCHAR2(20),
CARR_CD VARCHAR2(5),
TOT_REC NUMBER,
TOT_SUCC NUMBER);
CREATE TABLE COMM
(SRC_FILE_ID VARCHAR2(14),
REC_ID NUMBER,
STATUS CHAR(1));
INSERT INTO FILE_STATUS VALUES ('12345678', 'CM_LIBM.TXT', 'LIBM', 5, 4);
INSERT INTO FILE_STATUS VALUES ('12345679', 'CM_HIPNT.TXT', 'HIPNT', 4, 0);
INSERT INTO COMM VALUES ('12345678', 1, 'T');
INSERT INTO COMM VALUES ('12345678', 3, 'T');
INSERT INTO COMM VALUES ('12345678', 4, 'P');
INSERT INTO COMM VALUES ('12345678', 5, 'P');
COMMIT;Here is the query that I wrote to give me the details of the file that has been loaded into the system. It reads the file status and commission table to show file name, total records loaded, total records successfully loaded to the commission table and number of records that has been finally transmitted (status=T) to other systems.
SELECT
    FS.CARR_CD
    ,FS.FILE_NAME
    ,FS.FILE_ID
    ,FS.TOT_REC
    ,FS.TOT_SUCC
    ,NVL(C.TOT_TRANS, 0) TOT_TRANS
FROM FILE_STATUS FS
LEFT JOIN
    SELECT SRC_FILE_ID, COUNT(*) TOT_TRANS
    FROM COMM
    WHERE STATUS = 'T'
    GROUP BY SRC_FILE_ID
) C ON C.SRC_FILE_ID = FS.FILE_ID
WHERE FILE_ID = '12345678';In production this query has more joins and is taking lot of time to process.. the main culprit for me is the join on COMM table to get the count of number of transactions transmitted. Please can you give me tips to optimize this query to get results faster? Do I need to remove group and use partition or something else. Please help!

I get 2 rows if I use my query with your new criteria. Did you commit the record if you are using a second connection to query? Did you remove the criteria for file_id?
select carr_cd, file_name, file_id, tot_rec, tot_succ, tot_trans
from (select fs.carr_cd,
               fs.file_name,
               fs.file_id,
               fs.tot_rec,
               fs.tot_succ,
               count(case
                        when c.status = 'T' then
                         1
                        else
                         null
                      end) over(partition by c.src_file_id) tot_trans,
               row_number() over(partition by c.src_file_id order by null) rn
          from file_status fs
          left join comm c
            on c.src_file_id = fs.file_id
         where carr_cd = 'LIBM')
where rn = 1;
CARR_CD FILE_NAME            FILE_ID           TOT_REC   TOT_SUCC TOT_TRANS
LIBM    CM_LIBM.TXT          12345678                5          4          2
LIBM    CM_LIBM.TXT          12345677               10          0          0Using RANK can potentially produce multiple rows to be returned though your data may prevent this. ROW_NUMBER will always prevent duplicates. The ordering of the analytical function is irrelevant in your query if you use ROW_NUMBER. You can remove the outermost query and inspect the data returned by the inner query;
select fs.carr_cd,
       fs.file_name,
       fs.file_id,
       fs.tot_rec,
       fs.tot_succ,
       count(case
                when c.status = 'T' then
                 1
                else
                 null
              end) over(partition by c.src_file_id) tot_trans,
       row_number() over(partition by c.src_file_id order by null) rn
from file_status fs
left join comm c
on c.src_file_id = fs.file_id
where carr_cd = 'LIBM';
CARR_CD FILE_NAME            FILE_ID           TOT_REC   TOT_SUCC TOT_TRANS         RN
LIBM    CM_LIBM.TXT          12345678                5          4          2          1
LIBM    CM_LIBM.TXT          12345678                5          4          2          2
LIBM    CM_LIBM.TXT          12345678                5          4          2          3
LIBM    CM_LIBM.TXT          12345678                5          4          2          4
LIBM    CM_LIBM.TXT          12345677               10          0          0          1

Help required in optimizing the query response time

Hi,
I am working on a application which uses a jdbc thin client. My requirement is to select all the table rows in one table and use the column values to select data in another table in another database.
The first table can have maximum of 6 million rows but the second table rows will be around 9000.
My first query is returning within 30-40 milliseconds when the table is having 200000 rows. But when I am iterating the result set and query the second table the query is taking around 4 millisecond for each query.
the second query selection criteria is to find the value in the range .
for example my_table ( varchar2 column1, varchar2 start_range, varchar2 end_range);
My first query returns a result which then will be used to select using the following query
select column1 from my_table where start_range < my_value and end_range> my_value;
I have created an index on start_range and end_range. this query is taking around 4 millisseconds which I think is too much.
I am using a preparedStatement for the second query loop.
Can some one suggest me how I can improve the query response time?
Regards,
Shyam

Try the code below.
Pre-requistee: you should know how to pass ARRAY objects to oracle and receive resultsets from java. There are 1000s of samples available on net.
I have written a sample db code for the same interraction.
Procedure get_list takes a array input from java and returns the record set back to java. You can change the tablenames and the creteria.
Good luck.
DROP TYPE idlist;
CREATE OR REPLACE TYPE idlist AS TABLE OF NUMBER;
CREATE OR REPLACE PACKAGE mypkg1
AS
 PROCEDURE get_list (myval_list idlist, orefcur OUT sys_refcursor);
END mypkg1;
CREATE OR REPLACE PACKAGE BODY mypkg1
AS
 PROCEDURE get_list (myval_list idlist, orefcur OUT sys_refcursor)
 AS
 ctr NUMBER;
 BEGIN
 DBMS_OUTPUT.put_line (myval_list.COUNT);
 FOR x IN (SELECT object_name, object_id, myvalue
 FROM user_objects a,
 (SELECT myval_list (ROWNUM + 1) myvalue
 FROM TABLE (myval_list)) b
 WHERE a.object_id < b.myvalue)
 LOOP
 DBMS_OUTPUT.put_line ( x.object_name
 || ' - '
 || x.object_id
 || ' - '
 || x.myvalue
 END LOOP;
 END;
END mypkg1;
[pre]
Testing the code above. Make sure dbms output is ON.
[pre]
DECLARE
 a idlist;
 refc sys_refcursor;
 c number;
BEGIN
 SELECT x.nu
 BULK COLLECT INTO a
 FROM (SELECT 5000 nu
 FROM DUAL) x;
 mypkg1.get_list (a, refc);
END;
[pre]
Vishal V.

Select Statement taking more time.How to improve the query performance.

SELECT DISTINCT ORDERKEY, SUM(IMPRESSIONCNT) AS ActualImpressions ,SUM(DiscountedSales)AS ActualRevenue ,SUM(AgencyCommAmt) as AgencyCommAmt
,SUM(SalesHouseCommAMT) as SalesHouseCommAMT
--INTO Anticiapted_ADXActualsMeasures
FROM AdRevenueFact_ADX ADx WITH(NOLOCK)
Where FiscalMonthkey >=201301 and Exists (Select 1 from Anticipated_cdr_AX_OrderItem OI Where Adx.Orderkey=Oi.Orderkey)
GROUP BY ORDERKEY
Clustered indexes on orderkey,fiscalmonthkey and orderkey in AdRevenueFact_ADX(contain more than 170 million rows)
thanks

As mentioned by Kalman, if your clustered index starts with Orderkey, then this query will require a full table scan. If it is an option to change the clustered index in such a way that FiscalMonthkey is the leading column, then only the data of the last
two year has to be queried.
In addition, you should have a look at the indexes of table Anticipated_cdr_AX_OrderItem. Ideally, there is a nonclustered index on Orderkey.
To get better advice, please post the query plan and list all available indexes of these tables.
Finally, an off topic remark: it is a good practice to keep consistent spelling of object names, and to keep the same spelling as their declaration. Your query would cause serious problems if the database is ever run with case sensitive collation.
Gert-Jan

Optimizing the query - which takes more time

Hi,
Am having a query which was returning the results pretty fast one week back but now the same query takes more time to respond, nothing much changed in the table data, what could be the problem. Am using IN in the where clause, whether that could be an issue? if so what is the best method of rewriting the query.
SELECT RI.RESOURCE_NAME,TR.MSISDN,MAX(TR.ADDRESS1_GOOGLE) KEEP(DENSE_RANK LAST ORDER BY TR.MSG_DATE_INFO) ADDRESS1_GOOGLE,
                MAX(TR.TIME_STAMP) MSG_DATE_INFO FROM TRACKING_REPORT TR, RESOURCE_INFO RI
                WHERE TR.MSISDN IN ( SELECT MSISDN FROM RESOURCE_INFO WHERE GROUP_ID ='4'
               AND COM_ID='12') AND RI.MSISDN = TR.MSISDN
               GROUP BY RI.RESOURCE_NAME,TR.MSISDN ORDER BY MSG_DATE_INFO DESC

Hi
i have followed this link http://www.lorentzcenter.nl/awcourse/oracle/server.920/a96533/sqltrace.htm in enabling the trace and found out the following trace output, can you explain the problem here and its remedial action pls.
SELECT RI.RESOURCE_NAME,TR.MSISDN,MAX(TR.ADDRESS1_GOOGLE) KEEP(DENSE_RANK
LAST ORDER BY TR.MSG_DATE_INFO) ADDRESS1_GOOGLE,                      MAX(TR.TIME_STAMP)
MSG_DATE_INFO
FROM
TRACKING_REPORT TR, RESOURCE_INFO RI                          WHERE RI.GROUP_ID ='426'                         AND
RI.COM_ID='122' AND RI.MSISDN = TR.MSISDN                      GROUP BY RI.RESOURCE_NAME,
TR.MSISDN
call     count       cpu    elapsed       disk      query    current        rows
Parse        1      0.01       0.02          0          0          0           0
Execute      1      0.00       0.00          0          0          0           0
Fetch        6     13.69     389.03      81747     280722          0          72
total        8     13.70     389.05      81747     280722          0          72
Misses in library cache during parse: 1
Optimizer goal: CHOOSE
Parsing user id: 281
Rows     Row Source Operation
     72 SORT GROUP BY
276558   NESTED LOOPS
     79    TABLE ACCESS FULL RESOURCE_INFO
276558    TABLE ACCESS BY INDEX ROWID TRACKING_REPORT
276558     INDEX RANGE SCAN TR_INDX_ON_MSISDN_TIME (object id 60507)
********************************************************************************and the plan_table output is
STATEMENT_ID     TIMESTAMP     REMARKS     OPERATION     OPTIONS     OBJECT_NODE     OBJECT_OWNER     OBJECT_NAME     OBJECT_INSTANCE     OBJECT_TYPE     OPTIMIZER     SEARCH_COLUMNS     ID     PARENT_ID     POSITION     COST     CARDINALITY     BYTES     OTHER_TAG     PARTITION_START     PARTITION_STOP     PARTITION_ID     OTHER     DISTRIBUTION     CPU_COST     IO_COST     TEMP_SPACE     ACCESS_PREDICATES     FILTER_PREDICATES
     23-Mar-11 23:36:45          SELECT STATEMENT                                   CHOOSE          0          115     115     1058     111090                                        115
     23-Mar-11 23:36:45          SORT     GROUP BY                                        1     0     1     115     1058     111090                                        115
     23-Mar-11 23:36:45          NESTED LOOPS                                             2     1     1     9     4603     483315                                        9
     23-Mar-11 23:36:45          TABLE ACCESS     FULL          BSNL_RTMS     RESOURCE_INFO     2          ANALYZED          3     2     1     8     1     30                                        8               "RI"."GROUP_ID"=426 AND "RI"."COM_ID"='122'
     23-Mar-11 23:36:45          TABLE ACCESS     BY INDEX ROWID          BSNL_RTMS     TRACKING_REPORT     1          ANALYZED          4     2     2     1     3293     246975                                        1
     23-Mar-11 23:36:45          INDEX     RANGE SCAN          BSNL_RTMS     TR_INDX_ON_MSISDN_TIME          NON-UNIQUE          1     5     4     1     1     3293                                             1          "RI"."MSISDN"="TR"."MSISDN"

Optimizing the Query.

Hello All,
I need to uptimize the below query. I am using oralce 9i and rule base optimisation.
"SELECT sp.store_cd wr_store_cd, l.store_cd, l.loc_cd, l.loc_tp_cd,
sp.pd_cd, MIN(sp.priority), MIN(sp.ck_showroom)
FROM store$pri sp, loc l
WHERE l.store_cd >= nvl(sp.beg_store_cd,' ')
 AND l.store_cd <= nvl(sp.end_store_cd,' ')
AND l.loc_cd >= nvl(sp.beg_loc_cd,' ')
 AND l.loc_cd <= nvl(sp.end_loc_cd,' ')
AND l.pick = 'Y'
GROUP BY sp.store_cd, sp.pd_cd, l.store_cd, l.loc_cd, l.loc_tp_cd
ORDER BY wr_store_cd, pd_cd, MIN(priority), l.store_cd;"
In the above query LOC table has the less data and STORE$PRI table has the more data. Also in the LOC table there is a Index (Composit) with LOC_cd and STORE_CD column. In the STORE$PRI table there are no index in the beg_store_cd, end_store_cd, beg_loc_cd and end_loc_cd column. Also if I am creating the index on it as I am using the NVL function it is not doing the index scan.
Any suggestion how to optimize this query. It is taking 250 minute for getting the 396750 records. In LOC table there are 28859 records and in STORE$PRI table there are 465 redords.
I am putting below the explan plan data.
<pre>
Operation Object Name Rows Bytes Cost Object Node In/Out PStart PStop
SELECT STATEMENT Optimizer Mode=RULE
SORT ORDER BY
SORT GROUP BY
TABLE ACCESS BY INDEX ROWID INV.LOC
NESTED LOOPS
TABLE ACCESS FULL SALES.STORE$PRI
INDEX RANGE SCAN INV.LOC_PK
</pre>
Trce File Data:-
<pre>
recursive calls 793
db block gets 113
consistent gets 32377
physical reads 211
redo size 15044
bytes sent via SQL*Net to client 1431124
bytes received via SQL*Net from client 49632
SQL*Net roundtrips to/from client 1357
sorts (memory) 4
sorts (disk) 0
</pre>
Regards
SUN
Edited by: User SUN@ on Sep 17, 2008 6:51 PM
Edited by: User SUN@ on Sep 17, 2008 9:09 PM

could you please tell me how to use has join in the query?Hash joins are not a feature of the rule based optimizer. Normally you would keep your stats up to date and the cost-based optimizer will choose a hash join automatically where appropriate. Why are you using RBO?

Optimizing the Query joining two tables multiple times

Hi all,
I need to formulate a query where I want to get data from two tables.Here are the table structures and sample data.
Table1
id firstname lastname accountnumber
1 Sridh Peter SP456
2 Gane San SS667
3 Sway patel PP345
Table 2
id attributename attributevalue
1 Manager Mike
1 Lawyer Schwa
1 Server maneka
1 location langur
1 System Novel
2 Manager kane
2 lawyer endun
2 location colrado
3 server queen
3 system elanda
The requirement is I need to generate a report like th follwoing
Accountnumber firstname lastname manager lawyer System Server location
SP456 Sridh Peter Mike schwa Novel maneka langur
SS667 Gane San kane endun colrado
Now I have done this report using a query where I join table1 and table2 multiple times to get the report's data. And that query only works If the user has all attributes.If any one attribut is missing it wont work.Can some onehelp me with this.
The query i am using looks like this.
select a.accountnumber,a.firstname,a.lastname,b.attributevalue,c.attributevalue, d.attributevalue, e.attributevalue,f.attributevalue from table1 a,table2 b where a.id=b.id and a.id=c.id and a.id=d.id and a.id=e.id and a.id=f.id and b.attributename ='manager' and c.attributename ='lawyer' and d.attributename='system' and e.attributename='server' and f.attributename='location'
this query works well if a user has all attributes ,if any one is missing he is not shown in the report.Can some one suggest me a good way of querying than this.
The query I am using is also taking lot of time..I think I have explained my question well ,please reply if you have questions.
Thanks for reading till here patiently,
Pandu

....if this .....
<DIV>
select
Accountnumber||' '||firstname||' '||lastname||'
'||manager||' '||System||' '||Server||' '||location from (select
* 
from (select '1'
id, 'Sridh' firstname, 'Peter' lastname, 'SP456'
accountnumber from dual union 
select '2' id, 'Gane' firstname, 'San' lastname, 'SS667' accountnumber from dual union select
'3' id, 'Sway' firstname, 'patel' lastname, 'PP345' accountnumber from dual) x, 
(select * from
(select id, attributename, 
lead(attributevalue,0) over (partition by id order
by id) as Manager, 
lead(attributevalue,1) over (partition by id order
by id) as Lawyer, 
lead(attributevalue,2) over (partition by id order
by id) as System, 
lead(attributevalue,3) over (partition by id order
by id) as
Server, 
lead(attributevalue,4) over
(partition by id
order by id) as Location 
from (select *
from
(select '1' id, 'Manager' attributename, 'Mike' attributevalue from dual union select
'1' id, 'Lawyer' attributename, 'Schwa'
attributevalue from dual union select
'1' id, 'Server' attributename, 'maneka'
attributevalue from dual union 
select '1' id, 'location' attributename, 'langur' attributevalue from dual union 
select '1' id, 'System' attributename, 'Novel' attributevalue from dual union select
'2' id, 'Manager' attributename, 'kane'
attributevalue from dual union select
'2' id, 'lawyer' attributename, 'endun'
attributevalue from dual union 
select '2' id, 'location' attributename, 'colrado' attributevalue from dual union select
'3' id, 'server' attributename, 'queen'
attributevalue from dual union select
'3' id, 'system' attributename, 'elanda'
attributevalue from dual) order
by id, (case when attributename='Manager' then
1 
when attributename='Lawyer' then 2 
when attributename='System' then 3 
when attributename='Server' then 4 
when attributename='Location' then 5 end) asc)) 
where attributename='Manager')
y where x.id(+)=y.id)</DIV>
< Jonel

Optimizing the query performance?

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