Too long query

Hello,
I'm working on Oracle 11.2.0.3.
I'm trying to execute this query
SELECT distinct s, prefLabel,o
FROM TABLE(SEM_MATCH('PREFIX skos: <http://www.w3.org/2004/02/skos/core#>
PREFIX orardf:<http://xmlns.oracle.com/rdf/>
SELECT *
WHERE
?s ?p ?o.
?s skos:prefLabel ?prefLabel .
filter (lang(?prefLabel ) ="fr").
filter (orardf:textContains(?prefLabel , "famille")).
SEM_Models('modelinf'),
SEM_Rulebases('SKOSCORE'),
null,
null,
null,
null ))
but it takes too long time.
I'm not sure that all the necessary index has been create on the database.
Could you help me to optimize this query ?
Thanks.
Cyril.

Hello,
this is the execution plan of this query
SELECT s, prefLabel
FROM TABLE(SEM_MATCH('PREFIX skos: <http://www.w3.org/2004/02/skos/core#>
PREFIX orardf:<http://xmlns.oracle.com/rdf/>
SELECT distinct ?s ?prefLabel
WHERE
?s rdf:type skos:Concept.
?s skos:prefLabel ?prefLabel .
filter (lang(?prefLabel ) ="fr").
filter (orardf:textContains(?prefLabel , "famille")).
SEM_Models('modelinf'),
SEM_Rulebases('SKOSCORE'),
null,
null,
null,
null ))
It takes 2.703 seconds for 12 rows
Plan hash value: 1619577833
| Id | Operation | Name | Pstart| Pstop |
| 0 | SELECT STATEMENT | | | |
| 1 | COLLECTION ITERATOR SUBQUERY FETCH | | | |
| 2 | COUNT | | | |
|* 3 | FILTER | | | |
| 4 | NESTED LOOPS | | | |
| 5 | NESTED LOOPS | | | |
| 6 | VIEW | | | |
| 7 | SORT GROUP BY | | | |
| 8 | NESTED LOOPS | | | |
| 9 | NESTED LOOPS | | | |
| 10 | NESTED LOOPS | | | |
| 11 | VIEW | | | |
| 12 | UNION-ALL | | | |
| 13 | PARTITION LIST SINGLE | | 3 | 3 |
|* 14 | INDEX RANGE SCAN | RDF_LNK_PCS_IDX | 3 | 3 |
| 15 | PARTITION LIST SINGLE | | 4 | 4 |
|* 16 | INDEX RANGE SCAN | RDF_LNK_PCSGM_IDX | 4 | 4 |
| 17 | VIEW | | | |
| 18 | UNION-ALL PARTITION | | | |
| 19 | PARTITION LIST SINGLE | | 3 | 3 |
|* 20 | INDEX RANGE SCAN | RDF_LNK_PSC_IDX | 3 | 3 |
| 21 | PARTITION LIST SINGLE | | 4 | 4 |
|* 22 | INDEX RANGE SCAN | RDF_LNK_PSCGM_IDX | 4 | 4 |
|* 23 | INDEX UNIQUE SCAN | C_PK_VID | | |
|* 24 | TABLE ACCESS BY INDEX ROWID| RDF_VALUE$ | | |
|* 25 | INDEX UNIQUE SCAN | C_PK_VID | | |
| 26 | TABLE ACCESS BY INDEX ROWID | RDF_VALUE$ | | |
|* 27 | TABLE ACCESS FULL | RDF_RI_SHAD_5$ | | |
Predicate Information (identified by operation id):
3 - filter( NOT EXISTS (SELECT 0 FROM "MDSYS"."RDF_RI_SHAD_5$"
"RDF_RI_SHAD_5$" WHERE LNNVL("RDF_RI_SHAD_5$"."ID"<>1)))
14 - access("P_VALUE_ID"=834132227519661324 AND
"CANON_END_NODE_ID"=8129753520990573772 AND "START_NODE_ID">0 AND
"START_NODE_ID" IS NOT NULL)
16 - access("P_VALUE_ID"=834132227519661324 AND
"CANON_END_NODE_ID"=8129753520990573772 AND "START_NODE_ID">0 AND
"START_NODE_ID" IS NOT NULL)
20 - access("P_VALUE_ID"=8569708817671647133 AND
"START_NODE_ID"="from$_subquery$_007"."START_NODE_ID" AND
"CANON_END_NODE_ID">0 AND "CANON_END_NODE_ID" IS NOT NULL)
filter("START_NODE_ID">0)
22 - access("P_VALUE_ID"=8569708817671647133 AND
"START_NODE_ID"="from$_subquery$_007"."START_NODE_ID" AND
"CANON_END_NODE_ID">0 AND "CANON_END_NODE_ID" IS NOT NULL)
filter("START_NODE_ID">0)
23 - access("V0"."VALUE_ID"="from$_subquery$_011"."CANON_END_NODE_ID")
24 - filter("SEM_APIS"."GETV$LANGVAL"("V0"."VALUE_TYPE","V0"."VNAME_PRE
FIX","V0"."VNAME_SUFFIX","V0"."LITERAL_TYPE","V0"."LANGUAGE_TYPE")='fr'
AND "CTXSYS"."CONTAINS"("V0"."VNAME_PREFIX",'famille'||'')>0)
25 - access("R"."S$RDFVID"="V0"."VALUE_ID")
27 - filter(LNNVL("RDF_RI_SHAD_5$"."ID"<>1))
Thanks.
Cyril

Similar Messages

Loop with WMI Query taking too long, need to break out if time exceeds 5 min

I've written a script that will loop through a list of computers and run a WMI query using the Win32_Product class. I am pinging the host first to ensure its online which eliminates wasting time but the issue I'm facing is that some of the machines
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below:
$Computers = @()
$computers += "BES10-BH"
$computers += "AUTSUP-VSUS"
$computers += "AppClus06-BH"
$computers += "Aut01-BH"
$computers += "AutLH-VSUS"
$computers += "AW-MGMT01-VSUS"
$computers += "BAMBOOAGT-VSUS"
## Loop through all computer objects found in $Computes Array
$JavaInfo = @()
FOREACH($Client in $Computers)
## Gather WMI installed Software info from each client queried
Clear-Host
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FOREACH($Item in $ColItem)
## Write Host Name as variable
$HostNm = ($Client).ToUpper()
## Query Named Version of Java, if Java is not installed fill variable as "No Java Installed
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## Query Version of Java, if Java is not installed fill variable as "No Java Installed
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Let me give you a bigger picture of the script. I've included the emailed table the script produces and the actual script. While running the script certain hosts get hung up when running the WMI query which causes the script to never complete. From one of
the posts I was able to use the Get-WmiCustom function to add a timeout 0f 15 seconds and then the script will continue if it is stuck. The problem is when a host is skipped I am not aware of it because my script is not reporting the server that timed out.
If you look at ZLBH02-VSUS highlighted in the report you can see that its reporting not installed when it should say something to the effect query hung.
How can I add a variable in the function that will be available outside the function that I can key off of to differentiate between a host that does not have the software installed and one that failed to query?
Script Output:
Script:
## Name: JavaReportWMI.ps1 ##
## Requires: Power Shell 2.0 ##
## Created: January 06, 2015 ##
<##> $Version = "Script Version: 1.0" <##>
<##> $LastUpdate = "Updated: January 06, 2015" <##>
## Configure Compliant Java Versions Below ##
<##> $java6 = "6.0.430" <##>
<##> $javaSEDEVKit6 = "1.6.0.430" <##>
<##> $java7 = "7.0.710" <##>
<##> $javaSEDEVKit7 = "1.7.0.710" <##>
<##> $java8 = "8.0.250" <##>
<##> $javaSEDDEVKit8 = "1.8.0.250" <##>
## Import Active Directory Module
Import-Module ActiveDirectory
$Timeout = "False"
Function Get-WmiCustom([string]$computername,[string]$namespace,[string]$class,[int]$timeout=15)
$ConnectionOptions = new-object System.Management.ConnectionOptions
$EnumerationOptions = new-object System.Management.EnumerationOptions
$timeoutseconds = new-timespan -seconds $timeout
$EnumerationOptions.set_timeout($timeoutseconds)
$assembledpath = "\\" + $computername + "\" + $namespace
#write-host $assembledpath -foregroundcolor yellow
$Scope = new-object System.Management.ManagementScope $assembledpath, $ConnectionOptions
$Scope.Connect()
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#write-host $querystring
$query = new-object System.Management.ObjectQuery $querystring
$searcher = new-object System.Management.ManagementObjectSearcher
$searcher.set_options($EnumerationOptions)
$searcher.Query = $querystring
$searcher.Scope = $Scope
trap { $_ } $result = $searcher.get()
return $result
## Log time for duration clock
$Start = Get-Date
$StartTime = "StartTime: " + $Start.ToShortTimeString()
## Environmental Variables
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$Date = Get-Date
$Domain = $env:UserDomain
$HostName = ($env:ComputerName).ToLower()
## Regional Settings
## Used for testing
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$ToAddress = "[email protected]"; `
$ReplyDomain = "abc.com"; $smtpServer = "relay.abc.com"}
## Control Variables
$FromAddress = "JavaReport@$Hostname.na.$SMTPDomain"
$EmailSubject = "Java Report - $Region"
$computers = @()
$computers += "ZLBH02-VSUS"
$computers += "AUTSUP-VSUS"
$computers += "AppClus06-BH"
$computers += "Aut01-BH"
$computers += "AutLH-VSUS"
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$JavaInfo = @()
FOREACH($Client in $Computers)
## Gather WMI installed Software info from each client queried
Clear-Host
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$HostCount++
$Online = (test-connection -ComputerName ADRAP-VSUS -Count 1 -Quiet)
IF($Online -eq "True")
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Where {(($_.name -match "Java") -and (!($_.name -match "Auto|Visual")))} | `
Select-Object Name,Version
FOREACH($Item in $ColItem)
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$HostNm = ($Client).ToUpper()
## Query Named Version of Java, if Java is not installed fill variable as "No Java Installed
$JavaVerName = $Item.name
IF([string]::IsNullOrEmpty($JavaVerName))
{$JavaVerName = "No Installed"}
## Query Version of Java, if Java is not installed fill variable as "No Java Installed
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$msg.To.Add($ToAddress)
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$msg.Attachments.Add($Att)
$msg.Subject = ($EmailSubject)
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$msg.IsBodyHTML = $true
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$msg.Dispose()
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$Body = $Body + @"
<html><body>
Java Report - $Region
$list
</html></body>
<html><body>
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</html></body>
<html><body>

$StartTime 
$EndTime 
$TimeDiff 
$HostCount 


Run date: $Date 
$Version 
$LastUpdate 

</html></body>
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Time_out Dump on this query take too long time

hi experts,
in my report a query taking too long time
pl. provide performance tips or suggestions
select mkpf~mblnr mkpf~mjahr mkpf~usnam mkpf~vgart
       mkpf~xabln mkpf~xblnr mkpf~zshift mkpf~frbnr
       mkpf~bktxt mkpf~bldat mkpf~budat mkpf~cpudt
       mkpf~cputm mseg~anln1 mseg~anln2 mseg~aplzl
       mseg~aufnr mseg~aufpl mseg~bpmng mseg~bprme
       mseg~bstme mseg~bstmg mseg~bukrs mseg~bwart
       mseg~bwtar mseg~charg mseg~dmbtr mseg~ebeln
       mseg~ebelp mseg~erfme mseg~erfmg mseg~exbwr
       mseg~exvkw mseg~grund mseg~kdauf mseg~kdein
       mseg~kdpos mseg~kostl mseg~kunnr mseg~kzbew
       mseg~kzvbr mseg~kzzug mseg~lgort mseg~lifnr
       mseg~matnr mseg~meins mseg~menge mseg~lsmng
       mseg~nplnr mseg~ps_psp_pnr mseg~rsnum mseg~rspos
       mseg~shkzg mseg~sobkz mseg~vkwrt mseg~waers
       mseg~werks mseg~xauto mseg~zeile mseg~SGTXT
    into table itab
       from mkpf as mkpf
        inner join mseg as mseg
                on mkpf~MBLNR = mseg~mblnr
               and mkpf~mjahr = mseg~mjahr

no the original query is, i use where clouse with conditions.
select mkpf~mblnr mkpf~mjahr mkpf~usnam mkpf~vgart
       mkpf~xabln mkpf~xblnr mkpf~zshift mkpf~frbnr
       mkpf~bktxt mkpf~bldat mkpf~budat mkpf~cpudt
       mkpf~cputm mseg~anln1 mseg~anln2 mseg~aplzl
       mseg~aufnr mseg~aufpl mseg~bpmng mseg~bprme
       mseg~bstme mseg~bstmg mseg~bukrs mseg~bwart
       mseg~bwtar mseg~charg mseg~dmbtr mseg~ebeln
       mseg~ebelp mseg~erfme mseg~erfmg mseg~exbwr
       mseg~exvkw mseg~grund mseg~kdauf mseg~kdein
       mseg~kdpos mseg~kostl mseg~kunnr mseg~kzbew
       mseg~kzvbr mseg~kzzug mseg~lgort mseg~lifnr
       mseg~matnr mseg~meins mseg~menge mseg~lsmng
       mseg~nplnr mseg~ps_psp_pnr mseg~rsnum mseg~rspos
       mseg~shkzg mseg~sobkz mseg~vkwrt mseg~waers
       mseg~werks mseg~xauto mseg~zeile mseg~SGTXT
    into table itab
       from mkpf as mkpf
        inner join mseg as mseg
                on mkpf~MBLNR = mseg~mblnr
               and mkpf~mjahr = mseg~mjahr
    WHERE mkpf~budat IN budat
      AND mkpf~usnam IN usnam
      AND mkpf~vgart IN vgart
      AND mkpf~xblnr IN xblnr
      AND mkpf~zshift IN p_shift
      AND mseg~bwart IN bwart
      AND mseg~matnr IN matnr
      AND mseg~werks IN werks
      AND mseg~lgort IN lgort
      AND mseg~charg IN charg
      AND mseg~sobkz IN sobkz
      AND mseg~lifnr IN lifnr
      AND mseg~kunnr IN kunnr.

When query is taking too long time

When query is taking too long time,Where and how to start tuning it?
Here i've listed few things need to be considered,out of my knowledge and understanding
1.What the sql is waiting for(wait events)
2.Parameter modification need to be done at system/session level
3.The query has to be tuned (using hints )
4.Gathering/deleting statistics
List out any other things that need to be taken into account?
Which approach must be followed and on what basis that approach must be considered?

When query is taking too long time,Where and how to start tuning it?explain plan will be good start . trace also
Here i've listed few things need to be considered,out of my knowledge and understanding
1.What the sql is waiting for(wait events)When Oracle executes an SQL statement, it is not constantly executing. Sometimes it has to wait for a specific event to happen befor it can proceed.
Read
http://www.adp-gmbh.ch/ora/tuning/event.html
2.Parameter modification need to be done at system/session levelDepend on parameter , define parameter , trace done on session level for example
3.The query has to be tuned (using hints )Could be help you but you must know how to use .
4.Gathering/deleting statisticsDo it in non working hours , it will impact on database performance , but its good
List out any other things that need to be taken into account?Which account ?
Which approach must be followed and on what basis that approach must be considered?you could use lot of tools , Trace , AWR

Ora-06502: variable length too long on report query xml schema download

on shared components/report queries/edit report query/
and downloading my queries in xml schema format (radio button).
Get
ORA-06502: PL/SQL: numeric or value error: raw variable length too long
when i click the download button.
EDIT:
i want to add that i recently changed several columns in the database from 150 to 3000 chars long.
Edited by: Manny Rodriguez on Oct 11, 2011 7:19 AM

"4000 bytes is the ultimate maximum. you can say 4000 *characters* , but it'll always be limited to 4000 *bytes* . "
http://asktom.oracle.com/pls/apex/f?p=100:11:0::::P11_QUESTION_ID:1224836384599#201073000346459201\
"The maximum length of the column is determined by the national character set definition. Width specifications of character data type NVARCHAR2 refer to the number of characters. The maximum column size allowed is 4000 bytes."
http://docs.oracle.com/cd/E11882_01/server.112/e26088/sql_elements001.htm#SQLRF50976
By the way, you're treating your numbers as STRINGS, remove the quotes around your zero's.

My Query takes too long ...

Hi ,
Env , DB 10G , O/S Linux Redhat , My DB size is about 80G
My query takes too long , about 5 days to get results , can you please help to rewrite this query in a better way ,
declare
x number;
y date;
START_DATE DATE;
MDN VARCHAR2(12);
TOPUP VARCHAR2(50);
begin
for first_bundle in
select min(date_time_of_event) date_time_of_event ,account_identifier ,top_up_profile_name
from bundlepur
where account_profile='Basic'
AND account_identifier='665004664'
and in_service_result_indicator=0
and network_cause_result_indicator=0
and DATE_TIME_OF_EVENT >= to_date('16/07/2013','dd/mm/yyyy')
group by account_identifier,top_up_profile_name
order by date_time_of_event
loop
select sum(units_per_tariff_rum2) ,max(date_time_of_event)
into x,y
from OLD_LTE_CDR
where account_identifier=(select first_bundle.account_identifier from dual)
and date_time_of_event >= (select first_bundle.date_time_of_event from dual)
and -- no more than a month
date_time_of_event < ( select add_months(first_bundle.date_time_of_event,1) from dual)
and -- finished his bundle then buy a new one
date_time_of_event < ( SELECT MIN(DATE_TIME_OF_EVENT)
 FROM OLD_LTE_CDR
 WHERE DATE_TIME_OF_EVENT > (select (first_bundle.date_time_of_event)+1/24 from dual)
 AND IN_SERVICE_RESULT_INDICATOR=26);
select first_bundle.account_identifier ,first_bundle.top_up_profile_name
,FIRST_BUNDLE.date_time_of_event
INTO MDN,TOPUP,START_DATE
from dual;
insert into consumed1 VALUES(X,topup,MDN,START_DATE,Y);
end loop;
COMMIT;
end;

> where account_identifier=(select first_bundle.account_identifier from dual)
Why are you doing this? It's a completely unnecessary subquery.
Just do this:
where account_identifier = first_bundle.account_identifier
Same for all your other FROM DUAL subqueries. Get rid of them.
More importantly, don't use a cursor for loop. Just write one big INSERT statement that does what you want.

Streamline query ? Taking too long

First I wanted to say thanks to all in this forum, its been a huge help learning sql.
Hoping someone can take a look at this query. It works but it takes a very long time to run.
maybe there is a way to streamline it. right now its using one project number, but typically I would put in 60 or 70 project numbers here..
select proj_id from project_master where status='A' and project_number IN(
'502998'
)))c,
if someone knows a better way to run this please let me know , I will try anything. currently it takes about an hour to run it for 1 project number.
select * from(
select
b.doc_folder_id,c.project_number,b.name,a.doc_file_name,a.rec_update_date,a.rec_create_date,d.rnk
from
select doc_id,proj_id, doc_file_name,rec_create_date,rec_update_date from document_master where doc_status ='A'
and doc_file_extension like 'pdf' or doc_file_extension like 'jpg'
or doc_file_extension like 'xls' or doc_file_extension like 'doc'
or doc_file_extension like 'txt' or doc_file_extension like 'png'
or doc_file_extension like 'tif' or doc_file_extension like 'ppt'
or doc_file_extension like 'pps' or doc_file_extension like 'msg'
) a,
(select * from doc_folder_master
where upper(name) LIKE '%DAILY REPORTS%'
OR upper(name) LIKE '%MANPOWER REPORTS%'
OR upper(name) LIKE '%SITE PURCHASES%'
OR upper(name) LIKE '%SETE EHS ISSUES%'
OR upper(name) LIKE '%TURNOVER PACKAGES%'
OR upper(name) LIKE '11.04.01 PAD%'
OR upper(name) LIKE '%EDSR%'
OR upper(name) LIKE '%COQ WORKFLOW%'
and status='A'
) b,
(select proj_id,project_number from project_master where proj_id IN (
select proj_id from project_master where status='A' and project_number IN(
'502998'
)))c,
(select child_doc_type,
parent_doc_id,child_doc_id,to_char(rec_create_date,'mm/dd/yyyy hh24:mi:ss'),
row_number() over (partition by parent_doc_id,child_doc_type order by rec_create_date desc) rnk
from document_relations)d
where a.proj_id=b.proj_id
and c.proj_id=a.proj_id
and c.proj_id=b.proj_id
and d.parent_doc_id=b.doc_folder_id
and a.doc_id=d.child_doc_id)
where rnk <3
thanks for any assistance.
Edited by: Jay on Dec 29, 2010 12:08 PM

Hi,
Please, you might want to read this post:
When your query takes too long ...
Providing further information is key to obtaining quality answers.
Now on to the actual subject:
It seems you want some sort of top-n query. Depending on the cardinality and the data that you have, you probably would want to prune the rows from the DOCUMENT_RELATIONS table early, before joining to the other tables. This way you can avoid the database wasting effort of looking up matches on the other tables to only then discard those joined rows. You can do that by pushing the WHERE rnk < 3 predicate into the inline view.
SELECT *
FROM (SELECT b.doc_folder_id, c.project_number, b.name, a.doc_file_name, a.rec_update_date, a.rec_create_date, d.rnk
 FROM (SELECT doc_id, proj_id, doc_file_name, rec_create_date, rec_update_date
 FROM document_master
 WHERE doc_status = 'A'
 AND doc_file_extension IN ('pdf', 'jpg', 'xls', 'doc', 'txt', 'png', 'tif', 'ppt', 'pps', 'msg')) a,
 (SELECT *
 FROM doc_folder_master
 WHERE upper(NAME) LIKE '%DAILY REPORTS%'
 OR upper(NAME) LIKE '%MANPOWER REPORTS%'
 OR upper(NAME) LIKE '%SITE PURCHASES%'
 OR upper(NAME) LIKE '%SETE EHS ISSUES%'
 OR upper(NAME) LIKE '%TURNOVER PACKAGES%'
 OR upper(NAME) LIKE '11.04.01 PAD%'
 OR upper(NAME) LIKE '%EDSR%'
 OR upper(NAME) LIKE '%COQ WORKFLOW%'
 AND status = 'A') b,
 (SELECT proj_id, project_number
 FROM project_master
 WHERE proj_id IN (SELECT proj_id
 FROM project_master
 WHERE status = 'A'
 AND project_number IN ('502998'))) c,
 (SELECT *
 FROM (SELECT child_doc_type,
 parent_doc_id,
 child_doc_id,
 to_char(rec_create_date, 'mm/dd/yyyy hh24:mi:ss'),
 row_number() over(PARTITION BY parent_doc_id, child_doc_type ORDER BY rec_create_date DESC) rnk
 FROM document_relations)
 WHERE rnk < 3) d
 WHERE a.proj_id = b.proj_id
 AND c.proj_id = a.proj_id
 AND c.proj_id = b.proj_id
 AND d.parent_doc_id = b.doc_folder_id
 AND a.doc_id = d.child_doc_id)Like Toon said, if not needed you should avoid the 2nd scan in the PROJECT_MASTER table.
Perhaps you should check the possibility of creating a function-based index on the doc_folder_master table, with the upper(NAME) expression, to improve those Like conditions.
Docs on Function-based Indexes:
http://download.oracle.com/docs/cd/E11882_01/server.112/e16638/data_acc.htm#PFGRF94785

Oracle - Query taking too long (Materialized view)

Hi,
I am extracting billing informaiton and storing in 3 different tables... in order to show total billing (80 to 90 columns, 1 million rows per month), I've used a materialized view... I do not have indexes on 3 billing tables - do have 3 indexes on Materialized view...
at the moment it's taking too long to query the data (running a query via toad fails and shows "Out of Memory" error message; runing a query via APEX though is providing results but taking way too long)...
Please advice how to make the query efficient...

tparvaiz,
Is it possible when building your materialized view to summarize and consolidate the data?
Out of a million rows, what would your typical user do with that amount data if they could retrieve it readily? The answer to this question may indicate if and how to summarize the data within the materialized view.
Jeff
Edited by: jwellsnh on Mar 25, 2010 7:02 AM

Deletion Query takes too long

I have two tables with exactly the same structure. The table 1 gets data and one procedure reads that data and inserts them into another table (table2) for processing them. I have a delete query which is taking too long to execute.
The query is as follows
delete
from events.temp_act a
where a.chess_ts < (select max(chess_ts) from events.temp_act b
where a.db_type = b.db_type
and a.order_no = b.order_no
and a.acv_no = b.acv_no
There is a composite index in this table which is (db_type,order_no,acv_no)
In my procedure, I drop and create the index for faster processing and also analyze the index.
The above deletion query approximately deletes half the number of total records.
There is no primary key in the table for the reason that there can be no unique record identifier.
The query takes nearly 2 hours for deleting about 1100000 records.
Is there a way to make this query run faster?

What is the explain plan for this statement? Is the index even being used?
Is the table analyzed as well as the index?
Dropping/re-creating the index - not likely to help. I would leave this out.
Have you tried other variations, like:
delete
from events.temp_act
where (db_type, order_no, acv_vo, chess_ts)
 not in (select db_type, order_no, acv_vo, max(chess_ts)
 from events.temp_act b
 group by db_type, order_no, acv_vo);

Sql Query takes too long to enter into the first line

Hi Friends,
I am using SQLServer 2008. I am running the query for fetching the data from database. when i am running first time after executed the "DBCC FREEPROCCACHE" query for clear cache memory, it takes too long (7 to 9 second) to enter into first
line of the stored procedure. After its enter into the first statement of the SP, its fetching the data within a second. I think there is no problem with Sqlquery. Kindly let me know if you know the reason behind this.
Sample Example:
Create Sp Sp_Name
as
Begin
print Getdate()
Sql statements for fetching datas
Print Getdate()
End
In the above example, there is no difference between first date and second date.
Please help me to trouble shooting this problem.
Thanks & Regards,
Rajkumar.R

i am running first time after executed the "DBCC FREEPROCCACHE" query for clear cache memory, it takes too long (7 to 9 second)
Additional to Manoj: A
DBCC FREEPROCCACHE clears the procedure cache, so all store procedure must be newly compilied on the first call.
Olaf Helper
[ Blog] [ Xing] [ MVP]

Query designer takes too long to save a query

Hi dear SDN friends.
I´m working with query designer in BI 7 and sometimes it takes too long to save a query, about ten minutes. Sometimes it never ends saving and some other times it saves the same query in 1 minute.
Can anybody please give an advice about this behavior of the query designer?
We have recently update BI to sp18. In query designer I have sp5 revision 529
Best regards,
Karim Reyes

Hello Karim,
I would suggest testing this again in the latest Frontend Patch available (FEP 602). In FEPs 600, 601, & 602 there were some performance and stability improvements made which may correct your issue. If the issue persists, I would suggest then opening a Customer Message via Service Marketplace.
It can be downloaded from:
http://service.sap.com/swdc
u2192Download
u2192Support Packages and Patches
u2192Entry by Application Group
u2192SAP Frontend Components
u2192BI ADDON FOR SAPGUI
u2192 BI 7.0 ADDON FOR SAPGUI 7.10
u2192 BI 7.0 ADDON FOR SAPGUI 7.10
u2192Win32
See SAP Note 1085218 for planned FEP releases.
I hope that helps.
Regards,
Tanner Spaulding
SAP NetWeaver RIG Americas, BI

Query running for too long

Hi All,
Can someone pls help me in finding how long will it take to execute the below query.
I have a query that is taking too long to execute.
SELECT   CPU_TIME/1000000/60 CPUTIME, ELAPSED_TIME/1000000/60 ELAPSEDTIME, PROGRAM_LINE#, OPTIMIZER_COST,
USER_IO_WAIT_TIME/1000000/60 IOWAITTIME, DISK_READS, DIRECT_WRITES, BUFFER_GETS, to_char(Q.SQL_FULLTEXT), OPTIMIZER_MODE, SHARABLE_MEM, PERSISTENT_MEM, RUNTIME_MEM, SORTS, FETCHES, EXECUTIONS, END_OF_FETCH_COUNT, USERS_EXECUTING, LOADS,
FIRST_LOAD_TIME, INVALIDATIONS, PARSE_CALLS, APPLICATION_WAIT_TIME, CONCURRENCY_WAIT_TIME, CLUSTER_WAIT_TIME,
PLSQL_EXEC_TIME, JAVA_EXEC_TIME, ROWS_PROCESSED, COMMAND_TYPE, PARSING_USER_ID, PARSING_SCHEMA_ID, PARSING_SCHEMA_NAME, OBJECT_STATUS
     FROM     v$session S, v$sqlarea Q
     WHERE    S.SQL_ADDRESS = Q.ADDRESS
     AND      s.username = 'SCHEMA_NAME'
     AND       s.osuser = 'OSUSER_NAME';I can see CPU_TIME increasing. Is there any way that I can find how lmuch more time will it take for the query to execute.
The query creates a table that has a sub query and inner query.
rgds
saaz

http://www.gplivna.eu/papers/v$session_longops.htm
There is a dynamic performance view v$session_longops that is populated for many long running operations in Oracle. The primary criterion for any operation to appear in v$session_longops is to run more than 6 seconds. Although this isn’t the only criterion as well as not all operations that take more than 6 seconds are shown in this view. For example one can find hash joins in v$session_longops, but you won’t find there nested loop joins even if they are longer than 6 seconds and are joining very big data sets.

Query is taking too long to execute - contd

I am unable to post the entire explain plan in one post as it exceeds maximum length.
Please advise on how to post this.
Previous post Link : Link: Query is taking too long to execute
Regards,
Sreekanth Munagala.
Edited by: Sreekanth Munagala on Oct 27, 2009 8:31 AM
Edited by: Sreekanth Munagala on Oct 27, 2009 8:34 AM

Hi Tubby,
Today i executed only the first query in the view and it took almost 2.5 hrs.
Here is the explain plan for this query
SQL> SET SERVEROUTPUT ON
SQL> set linesize 200
SQL> select * from table(dbms_xplan.display);
PLAN_TABLE_OUTPUT
| Id | Operation                                        | Name                         | Rows | Bytes | Cost |
|   0 | SELECT STATEMENT                                 |                               |     1 |   766 | 2448 |
|   1 | TABLE ACCESS BY INDEX ROWID                     | PO_VENDORS                    |     1 |    13 |     3 |
|* 2 |   INDEX UNIQUE SCAN                              | PO_VENDORS_U1                 |     1 |       |     2 |
|   3 | TABLE ACCESS BY INDEX ROWID                     | PO_VENDORS                    |     1 |    29 |     3 |
|* 4 |   INDEX UNIQUE SCAN                              | PO_VENDORS_U1                 |     1 |       |     2 |
|   5 | VIEW                                            | POC_ASN_PICKUP_LOCATIONS_V    |     2 | 2426 |    17 |
|   6 |   UNION-ALL                                      |                               |       |       |       |
|   7 |    NESTED LOOPS                                  |                               |     1 |    85 |     4 |
|   8 |     NESTED LOOPS                                 |                               |     1 |    78 |     4 |
|* 9 |      TABLE ACCESS BY INDEX ROWID                 | PO_VENDOR_SITES_ALL           |     1 |    73 |     3 |
|* 10 |       INDEX UNIQUE SCAN                          | PO_VENDOR_SITES_U2            |     1 |       |     2 |
|* 11 |      INDEX UNIQUE SCAN                           | PO_VENDORS_U1                 |     1 |     5 |     1 |
|* 12 |     INDEX UNIQUE SCAN                            | FND_TERRITORIES_TL_U1         |     1 |     7 |       |
| 13 |    NESTED LOOPS                                  |                               |     1 |    91 |    13 |
| 14 |     NESTED LOOPS                                 |                               |     1 |    84 |    13 |
| 15 |      TABLE ACCESS BY INDEX ROWID                 | PO_VENDORS                    |     1 |    13 |     3 |
|* 16 |       INDEX UNIQUE SCAN                          | PO_VENDORS_U1                 |     1 |       |     2 |
PLAN_TABLE_OUTPUT
|* 17 |      TABLE ACCESS BY INDEX ROWID                 | FND_LOOKUP_VALUES             |     1 |    71 |    10 |
|* 18 |       INDEX RANGE SCAN                           | FND_LOOKUP_VALUES_U2          |    13 |       |     2 |
|* 19 |     INDEX UNIQUE SCAN                            | FND_TERRITORIES_TL_U1         |     1 |     7 |       |
|* 20 | COUNT STOPKEY                                   |                               |       |       |       |
| 21 |   TABLE ACCESS BY INDEX ROWID                    | MTL_SYSTEM_ITEMS_B            |     8 |   136 |    12 |
|* 22 |    INDEX RANGE SCAN                              | MTL_SYSTEM_ITEMS_B_U1         |     8 |       |     3 |
|* 23 | COUNT STOPKEY                                   |                               |       |       |       |
| 24 |   TABLE ACCESS BY INDEX ROWID                    | MTL_SYSTEM_ITEMS_B            |     8 |   288 |    12 |
|* 25 |    INDEX RANGE SCAN                              | MTL_SYSTEM_ITEMS_B_U1         |     8 |       |     3 |
| 26 | TABLE ACCESS BY INDEX ROWID                     | FND_TERRITORIES_TL            |     1 |    24 |     2 |
|* 27 |   INDEX UNIQUE SCAN                              | FND_TERRITORIES_TL_U1         |     1 |       |     1 |
| 28 | NESTED LOOPS                                    |                               |     1 |    40 |     5 |
| 29 |   TABLE ACCESS BY INDEX ROWID                    | HZ_CUST_ACCOUNTS              |     1 |    11 |     3 |
|* 30 |    INDEX UNIQUE SCAN                             | HZ_CUST_ACCOUNTS_U1           |     1 |       |     2 |
| 31 |   TABLE ACCESS BY INDEX ROWID                    | HZ_PARTIES                    |     1 |    29 |     2 |
|* 32 |    INDEX UNIQUE SCAN                             | HZ_PARTIES_U1                 |     1 |       |     1 |
| 33 | TABLE ACCESS BY INDEX ROWID                     | FND_TERRITORIES_TL            |     1 |    24 |     2 |
|* 34 |   INDEX UNIQUE SCAN                              | FND_TERRITORIES_TL_U1         |     1 |       |     1 |
| 35 | TABLE ACCESS BY INDEX ROWID                     | FND_TERRITORIES_TL            |     1 |    24 |     2 |
|* 36 |   INDEX UNIQUE SCAN                              | FND_TERRITORIES_TL_U1         |     1 |       |     1 |
|* 37 | COUNT STOPKEY                                   |                               |       |       |       |
PLAN_TABLE_OUTPUT
|* 38 |   TABLE ACCESS BY INDEX ROWID                    | ONTC_MTC_PROFORMA_HEADERS     |     1 |    21 |     3 |
|* 39 |    INDEX RANGE SCAN                              | ONTC_MTC_PROFORMA_HEADERS_U2 |     1 |       |     2 |
| 40 | TABLE ACCESS BY INDEX ROWID                     | FND_TERRITORIES_TL            |     1 |    24 |     2 |
|* 41 |   INDEX UNIQUE SCAN                              | FND_TERRITORIES_TL_U1         |     1 |       |     1 |
|* 42 | COUNT STOPKEY                                   |                               |       |       |       |
|* 43 |   TABLE ACCESS BY INDEX ROWID                    | ONTC_MTC_PROFORMA_HEADERS     |     1 |    21 |     3 |
|* 44 |    INDEX RANGE SCAN                              | ONTC_MTC_PROFORMA_HEADERS_U2 |     1 |       |     2 |
| 45 | SORT AGGREGATE                                  |                               |     1 |    39 |       |
| 46 |   NESTED LOOPS OUTER                             |                               |     2 |    78 | 1828 |
|* 47 |    TABLE ACCESS FULL                             | ONTC_MTC_PROFORMA_HEADERS     |     1 |    24 | 1825 |
| 48 |    TABLE ACCESS BY INDEX ROWID                   | ONTC_MTC_PROFORMA_LINES       |     5 |    75 |     3 |
|* 49 |     INDEX RANGE SCAN                             | ONTC_MTC_PROFORMA_LINES_PK    |    11 |       |     2 |
| 50 | NESTED LOOPS                                    |                               |     1 |   766 | 2448 |
| 51 |   NESTED LOOPS                                   |                               |     1 |   761 | 2447 |
| 52 |    NESTED LOOPS                                  |                               |     1 |   746 | 2445 |
| 53 |     NESTED LOOPS                                 |                               |     1 |   694 | 2443 |
| 54 |      NESTED LOOPS                                |                               |     1 |   682 | 2441 |
| 55 |       NESTED LOOPS                               |                               |     1 |   671 | 2439 |
| 56 |        NESTED LOOPS                              |                               |     1 |   612 | 2437 |
| 57 |         NESTED LOOPS                             |                               |     1 |   600 | 2435 |
| 58 |          NESTED LOOPS                            |                               |     1 |   575 | 2433 |
PLAN_TABLE_OUTPUT
| 59 |           NESTED LOOPS                           |                               |     1 |   552 | 2431 |
| 60 |            NESTED LOOPS                          |                               |     1 |   533 | 2429 |
| 61 |             NESTED LOOPS                         |                               |     1 |   524 | 2428 |
| 62 |              NESTED LOOPS                        |                               |     1 |   455 | 2427 |
| 63 |               NESTED LOOPS                       |                               |     1 |   429 | 2426 |
| 64 |                NESTED LOOPS                      |                               |     1 |   389 | 2424 |
| 65 |                 NESTED LOOPS                     |                               |     1 |   368 | 2422 |
| 66 |                  NESTED LOOPS                    |                               |     1 |   308 | 2421 |
| 67 |                   NESTED LOOPS                   |                               |     1 |   281 | 2419 |
| 68 |                    NESTED LOOPS                  |                               |     1 |   253 | 2418 |
| 69 |                     NESTED LOOPS                 |                               |     1 |   214 | 2416 |
| 70 |                      NESTED LOOPS                |                               |    39 | 7371 | 2338 |
|* 71 |                       TABLE ACCESS FULL          | RCV_SHIPMENT_HEADERS          |    39 | 5070 | 2221 |
|* 72 |                       TABLE ACCESS BY INDEX ROWID| RCV_SHIPMENT_LINES            |     1 |    59 |     3 |
|* 73 |                        INDEX RANGE SCAN          | RCV_SHIPMENT_LINES_U2         |     1 |       |     2 |
|* 74 |                      TABLE ACCESS BY INDEX ROWID | PO_LINES_ALL                  |     1 |    25 |     2 |
|* 75 |                       INDEX UNIQUE SCAN          | PO_LINES_U1                   |     1 |       |     1 |
|* 76 |                     TABLE ACCESS BY INDEX ROWID | PO_LINE_LOCATIONS_ALL         |     1 |    39 |     2 |
|* 77 |                      INDEX UNIQUE SCAN           | PO_LINE_LOCATIONS_U1          |     1 |       |     1 |
|* 78 |                    TABLE ACCESS BY INDEX ROWID   | PO_HEADERS_ALL                |     1 |    28 |     1 |
|* 79 |                     INDEX UNIQUE SCAN            | PO_HEADERS_U1                 |     1 |       |       |
PLAN_TABLE_OUTPUT
|* 80 |                   TABLE ACCESS BY INDEX ROWID    | OE_ORDER_LINES_ALL            |     1 |    27 |     2 |
|* 81 |                    INDEX UNIQUE SCAN             | OE_ORDER_LINES_U1             |     1 |       |     1 |
| 82 |                  TABLE ACCESS BY INDEX ROWID     | OE_ORDER_HEADERS_ALL          |     1 |    60 |     1 |
|* 83 |                   INDEX UNIQUE SCAN              | OE_ORDER_HEADERS_U1           |     1 |       |       |
|* 84 |                 TABLE ACCESS BY INDEX ROWID      | HZ_CUST_SITE_USES_ALL         |     1 |    21 |     2 |
|* 85 |                  INDEX UNIQUE SCAN               | HZ_CUST_SITE_USES_U1          |     1 |       |     1 |
|* 86 |                TABLE ACCESS BY INDEX ROWID       | HZ_CUST_SITE_USES_ALL         |     1 |    40 |     2 |
|* 87 |                 INDEX UNIQUE SCAN                | HZ_CUST_SITE_USES_U1          |     1 |       |     1 |
| 88 |               TABLE ACCESS BY INDEX ROWID        | WSH_CARRIERS                  |     1 |    26 |     1 |
|* 89 |                INDEX UNIQUE SCAN                 | WSH_CARRIERS_U2               |     1 |       |       |
|* 90 |              TABLE ACCESS BY INDEX ROWID         | WSH_CARRIER_SERVICES          |     1 |    69 |     1 |
|* 91 |               INDEX RANGE SCAN                   | WSH_CARRIER_SERVICES_N1       |     2 |       |       |
|* 92 |             TABLE ACCESS BY INDEX ROWID          | WSH_ORG_CARRIER_SERVICES      |     1 |     9 |     1 |
|* 93 |              INDEX RANGE SCAN                    | WSH_ORG_CARRIER_SERVICES_N1   |     1 |       |       |
| 94 |            TABLE ACCESS BY INDEX ROWID           | HZ_CUST_ACCOUNTS              |     1 |    19 |     2 |
|* 95 |             INDEX UNIQUE SCAN                    | HZ_CUST_ACCOUNTS_U1           |     1 |       |     1 |
|* 96 |           TABLE ACCESS BY INDEX ROWID            | HZ_CUST_ACCT_SITES_ALL        |     1 |    23 |     2 |
|* 97 |            INDEX UNIQUE SCAN                     | HZ_CUST_ACCT_SITES_U1         |     1 |       |     1 |
|* 98 |          TABLE ACCESS BY INDEX ROWID             | HZ_CUST_ACCT_SITES_ALL        |     1 |    25 |     2 |
|* 99 |           INDEX UNIQUE SCAN                      | HZ_CUST_ACCT_SITES_U1         |     1 |       |     1 |
| 100 |         TABLE ACCESS BY INDEX ROWID              | HZ_PARTY_SITES                |     1 |    12 |     2 |
PLAN_TABLE_OUTPUT
|*101 |          INDEX UNIQUE SCAN                       | HZ_PARTY_SITES_U1             |     1 |       |     1 |
| 102 |        TABLE ACCESS BY INDEX ROWID               | HZ_LOCATIONS                  |     1 |    59 |     2 |
|*103 |         INDEX UNIQUE SCAN                        | HZ_LOCATIONS_U1               |     1 |       |     1 |
|*104 |       INDEX RANGE SCAN                           | HZ_LOC_ASSIGNMENTS_N1         |     1 |    11 |     2 |
| 105 |      TABLE ACCESS BY INDEX ROWID                 | HZ_PARTY_SITES                |     1 |    12 |     2 |
|*106 |       INDEX UNIQUE SCAN                          | HZ_PARTY_SITES_U1             |     1 |       |     1 |
| 107 |     TABLE ACCESS BY INDEX ROWID                  | HZ_LOCATIONS                  |     1 |    52 |     2 |
|*108 |      INDEX UNIQUE SCAN                           | HZ_LOCATIONS_U1               |     1 |       |     1 |
|*109 |    INDEX RANGE SCAN                              | HZ_LOC_ASSIGNMENTS_N1         |     1 |    15 |     2 |
|*110 |   INDEX UNIQUE SCAN                              | HZ_PARTIES_U1                 |     1 |     5 |     1 |
I will put the predicate information in another post.
193 rows selected.
SQL> spool offPlease suggest on how can we improve the performance.
Regards,
Sreekanth Munagala.

Query taking way too long

Hello,
Can somebody please help.
I am wanting to change this query so that it does not take too long. How can I do it please?
select count(*), t.tel_no, t.prospect_id, a.ACCOUNT_NO, a.account_title
from tel_nos t, account a
where t.tel_type = 'S'
AND t.prospect_id = a.prospect_id
AND SYSDATE BETWEEN t.start_date AND NVL(t.end_date, SYSDATE)
group by t.tel_no, t.prospect_id, a.ACCOUNT_NO, a.account_title
having count(*) > 1
Thanks in advance.

Tuning is a science not a parlour guessing game. It's hard for us to diagnose the problem you have here as you have given us almost no information. For instance, are you using rule based or cost based optimizer? How big are these two tables? What indexes do they have? What percentage of rows are you expecting the query to return?
Tuning is such a big area that it's hard to know where to begin. I suggest you start at the Oracle docs. Chapters 1, 4 and 5 will set you going.
http://download-west.oracle.com/docs/cd/A87860_01/doc/server.817/a76992/toc.htm
Having said all that you may well find this runs faster:
SELECT count(*), t.tel_no, t.prospect_id, a.account_no, a.account_title
FROM   account a, tel_nos t
WHERE t.tel_type = 'S'
AND    sysdate BETWEEN t.start_date AND nvl(t.end_date, sysdate)
AND    t.prospect_id = a.prospect_id
GROUP BY t.tel_no, t.prospect_id, a.account_no, a.account_title
HAVING count(*) > 1
/I leave it to you to work out why (it's nothing to do with clearer layout).
Cheers, APC

Query taking too long

I am running a fairly complex query with several table joins
and it is taking too long. What can I do to improve performance?
Thanks.
Frank

Dan's first suggestion is key - if you are doing multiple
table joins, you want to make sure your indexes are set up on your
tables correctly. If you have access to the database, this should
be your first step. Rationalize's stored procedure suggestion is
also a great idea (again, if you have access to create and manage
stored procedures on your DB).
Other than than, most databases usually have some sort of SQL
efficiency analysis tool. SQL server has one built into their Query
Analyzer tool. I would recommend using something like that to
streamline your SQL. Like Dan said, something as simple as the
order of elements in your where clause might make a big
difference.

Too long query

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