View objects performance issue with oracle seeded tables
While i am writing a view object on a oracle seeded tables like MTL_PARAMETERS, its taking more time to show in the oaf page.I am trying to display all these view object columns in detail disclosure of advanced table. My Application is taking more than two minutes to display the view columns of the query which is returning just 200 rows. Please help me how to improve performance when my query using seeded tables.
This issue is happening only in R12 view object and advanced tables.
Edited by: vlsn on Jun 24, 2012 11:36 PM
Hi All,
Here is architecture of my application:
Java application creates XML from the screen values and then inserts that XML
into a framework(separate DB schema) table . then Java calls a Stored Procedure from same framework DB and in SP we have following steps.
1. It fatches XML from the XML type table and inserts XML into screen specific XML TYPE table in the framework DB Schema. This table has a trigger which parses XML and then inserts XML values into GTT which are created in separate product schemas.
2. it calls Product SP and then in product SP we have business logic. Product SP
does the execution and then inserts response into Response GTT.
3. Response XML is created by using XML generation function and response GTT.
I hope u will understand my architeture this time and now let me know if GTT are good in this scenario or not. also please not that i need data in GTT only during execution and not after that. i dont want to do specific delete which i have to do if i am using normal tables.
Regards,
Vikas Kumar
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61865984
explain plan for
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RETURN resultset_typ
IS
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p_source_data IN resultset_typ,
p_limit_size IN PLS_INTEGER DEFAULT c_default_limit)
RETURN table_typ
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PARALLEL_ENABLE(PARTITION p_source_data BY ANY)
IS
aa_source_data table_typ;-- := table_typ ();
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PIPE ROW (aa_source_data (i));
END LOOP;
END LOOP;
CLOSE p_source_data;
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argB IN VARCHAR2,
o_resultset OUT resultset_typ)
IS
BEGIN
OPEN o_resultset FOR
SELECT /*+ PARALLEL(t, 5) */ colC,
SUM (CASE WHEN colD > colE AND colE != '0' THEN colD / ColE END)de,
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ORDER BY colC
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argB IN VARCHAR2,
o_resultset OUT resultset_typ)
IS
BEGIN
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ALTER PACKAGE pipeline_example COMPILE;Edited by: Earthlink on Nov 14, 2010 9:47 AM
Edited by: Earthlink on Nov 14, 2010 11:31 AM
Edited by: Earthlink on Nov 14, 2010 11:32 AM
Edited by: Earthlink on Nov 20, 2010 12:04 PM
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http://oracle-randolf.blogspot.com/2009/02/basic-sql-statement-performance.html
Another nice one is RUNSTATS:
http://asktom.oracle.com/pls/asktom/ASKTOM.download_file?p_file=6551378329289980701 -
Performance issue with MSEG table
Hi all,
I need to fetch materials(MATNR) based on the service order number (AUFNR) in the selection screen,but there is performance isssue with this , how to over come this issue .
Regards ,
AmitHi,
There could be various reasons for performance issue with MSEG.
1) database statistics of tables and indexes are not upto date.
because of this wrong index is choosen during the execution.
2) Improper indexes, because there is no indexes with the fields mentioned in the WHERE clause of the statement. Because of this reason, CBO would have choosen wrong index and did a range scan.
3) Optimizer bug in oracle.
4) Size of table is very huge, archive.
Better switch on ST05 trace before you run this statements, so it will give more detailed information, where exactly time being spent during the execution.
Hope this helps
dileep -
Performance issue with a Custom view
Hi ,
I am pretty new to performance tuning and facing a performance issue with a custom view.
Execution time for view query is good but as soon as I append a where caluse to view query ,the execution time increases.
Below is the view query:
CREATE OR REPLACE XXX_INFO_VIEW AS
SELECT csb.system_id license_id,
cst.name license_number ,
csb.system_type_code license_type ,
csb.attribute3 lac , -- license authorization code
csb.attribute6 lat , -- license admin token
csb.attribute12 ols_reg, -- OLS Registration allowed flag
l.attribute4 license_biz_type ,
NVL (( SELECT 'Y' l_supp_flag
FROM csi_item_instances cii,
okc_k_lines_b a,
okc_k_items c
WHERE c.cle_id = a.id
AND a.lse_id = 9
AND c.jtot_object1_code = 'OKX_CUSTPROD'
AND c.object1_id1 = cii.instance_id||''
AND cii.instance_status_id IN (3, 510)
AND cii.system_id = csb.system_id
AND a.sts_code IN ('SIGNED', 'ACTIVE')
AND NVL (a.date_terminated, a.end_date) > SYSDATE
AND ROWNUM < 2), 'N') active_supp_flag,
hp.party_name "Customer_Name" , -- Customer Name
hca.attribute12 FGE_FLAG,
(SELECT /*+INDEX (oklt OKC_K_LINES_TL_U1) */
nvl(max((decode(name, 'eSupport','2','Enterprise','1','Standard','1','TERM RTU','0','TERM RTS','0','Notfound'))),0) covName --TERM RTU and TERM RTS added as per Vijaya's suggestion APR302013
FROM OKC_K_LINES_B oklb1,
OKC_K_LINES_TL oklt,
OKC_K_LINES_B oklb2,
OKC_K_ITEMS oki,
CSI_item_instances cii
WHERE
OKI.JTOT_OBJECT1_CODE = 'OKX_CUSTPROD'
AND oklb1.id=oklt.id
AND OKI.OBJECT1_ID1 =cii.instance_id||''
AND Oklb1.lse_id=2
AND oklb1.dnz_chr_id=oklb2.dnz_chr_id
AND oklb2.lse_id=9
AND oki.CLE_ID=oklb2.id
AND cii.system_id=csb.system_id
AND oklt.LANGUAGE=USERENV ('LANG')) COVERAGE_TYPE
FROM csi_systems_b csb ,
csi_systems_tl cst ,
hz_cust_accounts hca,
hz_parties hp,
fnd_lookup_values l
WHERE csb.system_type_code = l.lookup_code (+)
AND csb.system_id = cst.system_id
AND hca.cust_account_id =csb.customer_id
AND hca.party_id= hp.party_id
AND cst.language = USERENV ('LANG')
AND l.lookup_type (+) = 'CSI_SYSTEM_TYPE'
AND l.language (+) = USERENV ('LANG')
AND NVL (csb.end_date_active, SYSDATE+1) > SYSDATE)
I have forced an index to avoid Full table scan on OKC_K_LINES_TL and suppressed an index on CSI_item_instances.instance id to make the view query fast.
So when i do select * from XXX_INFO_VIEWit executes in a decent time,But when I try to do
select * from XXX_INFO_VIEW where active_supp_flag='Y' and coverage_type='1'
it takes lot of time.
Execution plan is same for both queries in terms of cost but with WHERE clause Number of bytes increases.
Below are the execution plans:
View query:
SELECT STATEMENT ALL_ROWS Cost: 7,212 Bytes: 536,237 Cardinality: 3,211
10 COUNT STOPKEY
9 NESTED LOOPS
7 NESTED LOOPS Cost: 1,085 Bytes: 101 Cardinality: 1
5 NESTED LOOPS Cost: 487 Bytes: 17,043 Cardinality: 299
2 TABLE ACCESS BY INDEX ROWID TABLE CSI.CSI_ITEM_INSTANCES Cost: 22 Bytes: 2,325 Cardinality: 155
1 INDEX RANGE SCAN INDEX CSI.CSI_ITEM_INSTANCES_N07 Cost: 3 Cardinality: 315
4 TABLE ACCESS BY INDEX ROWID TABLE OKC.OKC_K_ITEMS Cost: 3 Bytes: 84 Cardinality: 2
3 INDEX RANGE SCAN INDEX OKC.OKC_K_ITEMS_N2 Cost: 2 Cardinality: 2
6 INDEX UNIQUE SCAN INDEX (UNIQUE) OKC.OKC_K_LINES_B_U1 Cost: 1 Cardinality: 1
8 TABLE ACCESS BY INDEX ROWID TABLE OKC.OKC_K_LINES_B Cost: 2 Bytes: 44 Cardinality: 1
12 TABLE ACCESS BY INDEX ROWID TABLE AR.HZ_CUST_ACCOUNTS Cost: 2 Bytes: 7 Cardinality: 1
11 INDEX UNIQUE SCAN INDEX (UNIQUE) AR.HZ_CUST_ACCOUNTS_U1 Cost: 1 Cardinality: 1
28 SORT AGGREGATE Bytes: 169 Cardinality: 1
27 NESTED LOOPS
25 NESTED LOOPS Cost: 16,549 Bytes: 974,792 Cardinality: 5,768
23 NESTED LOOPS Cost: 5,070 Bytes: 811,737 Cardinality: 5,757
20 NESTED LOOPS Cost: 2,180 Bytes: 56,066 Cardinality: 578
17 NESTED LOOPS Cost: 967 Bytes: 32,118 Cardinality: 606
14 TABLE ACCESS BY INDEX ROWID TABLE CSI.CSI_ITEM_INSTANCES Cost: 22 Bytes: 3,465 Cardinality: 315
13 INDEX RANGE SCAN INDEX CSI.CSI_ITEM_INSTANCES_N07 Cost: 3 Cardinality: 315
16 TABLE ACCESS BY INDEX ROWID TABLE OKC.OKC_K_ITEMS Cost: 3 Bytes: 84 Cardinality: 2
15 INDEX RANGE SCAN INDEX OKC.OKC_K_ITEMS_N2 Cost: 2 Cardinality: 2
19 TABLE ACCESS BY INDEX ROWID TABLE OKC.OKC_K_LINES_B Cost: 2 Bytes: 44 Cardinality: 1
18 INDEX UNIQUE SCAN INDEX (UNIQUE) OKC.OKC_K_LINES_B_U1 Cost: 1 Cardinality: 1
22 TABLE ACCESS BY INDEX ROWID TABLE OKC.OKC_K_LINES_B Cost: 5 Bytes: 440 Cardinality: 10
21 INDEX RANGE SCAN INDEX OKC.OKC_K_LINES_B_N2 Cost: 2 Cardinality: 9
24 INDEX UNIQUE SCAN INDEX (UNIQUE) OKC.OKC_K_LINES_TL_U1 Cost: 1 Cardinality: 1
26 TABLE ACCESS BY INDEX ROWID TABLE OKC.OKC_K_LINES_TL Cost: 2 Bytes: 28 Cardinality: 1
43 HASH JOIN Cost: 7,212 Bytes: 536,237 Cardinality: 3,211
41 NESTED LOOPS
39 NESTED LOOPS Cost: 7,070 Bytes: 485,792 Cardinality: 3,196
37 HASH JOIN Cost: 676 Bytes: 341,972 Cardinality: 3,196
32 HASH JOIN RIGHT OUTER Cost: 488 Bytes: 310,012 Cardinality: 3,196
30 TABLE ACCESS BY INDEX ROWID TABLE APPLSYS.FND_LOOKUP_VALUES Cost: 7 Bytes: 544 Cardinality: 17
29 INDEX RANGE SCAN INDEX (UNIQUE) APPLSYS.FND_LOOKUP_VALUES_U1 Cost: 3 Cardinality: 17
31 TABLE ACCESS FULL TABLE CSI.CSI_SYSTEMS_B Cost: 481 Bytes: 207,740 Cardinality: 3,196
36 VIEW VIEW AR.index$_join$_013 Cost: 187 Bytes: 408,870 Cardinality: 40,887
35 HASH JOIN
33 INDEX FAST FULL SCAN INDEX (UNIQUE) AR.HZ_CUST_ACCOUNTS_U1 Cost: 112 Bytes: 408,870 Cardinality: 40,887
34 INDEX FAST FULL SCAN INDEX AR.HZ_CUST_ACCOUNTS_N2 Cost: 122 Bytes: 408,870 Cardinality: 40,887
38 INDEX UNIQUE SCAN INDEX (UNIQUE) AR.HZ_PARTIES_U1 Cost: 1 Cardinality: 1
40 TABLE ACCESS BY INDEX ROWID TABLE AR.HZ_PARTIES Cost: 2 Bytes: 45 Cardinality: 1
42 TABLE ACCESS FULL TABLE CSI.CSI_SYSTEMS_TL Cost: 142 Bytes: 958,770 Cardinality: 63,918
Execution plan for view query with WHERE clause:
SELECT STATEMENT ALL_ROWS Cost: 7,212 Bytes: 2,462,837 Cardinality: 3,211
10 COUNT STOPKEY
9 NESTED LOOPS
7 NESTED LOOPS Cost: 1,085 Bytes: 101 Cardinality: 1
5 NESTED LOOPS Cost: 487 Bytes: 17,043 Cardinality: 299
2 TABLE ACCESS BY INDEX ROWID TABLE CSI.CSI_ITEM_INSTANCES Cost: 22 Bytes: 2,325 Cardinality: 155
1 INDEX RANGE SCAN INDEX CSI.CSI_ITEM_INSTANCES_N07 Cost: 3 Cardinality: 315
4 TABLE ACCESS BY INDEX ROWID TABLE OKC.OKC_K_ITEMS Cost: 3 Bytes: 84 Cardinality: 2
3 INDEX RANGE SCAN INDEX OKC.OKC_K_ITEMS_N2 Cost: 2 Cardinality: 2
6 INDEX UNIQUE SCAN INDEX (UNIQUE) OKC.OKC_K_LINES_B_U1 Cost: 1 Cardinality: 1
8 TABLE ACCESS BY INDEX ROWID TABLE OKC.OKC_K_LINES_B Cost: 2 Bytes: 44 Cardinality: 1
12 TABLE ACCESS BY INDEX ROWID TABLE AR.HZ_CUST_ACCOUNTS Cost: 2 Bytes: 7 Cardinality: 1
11 INDEX UNIQUE SCAN INDEX (UNIQUE) AR.HZ_CUST_ACCOUNTS_U1 Cost: 1 Cardinality: 1
28 SORT AGGREGATE Bytes: 169 Cardinality: 1
27 NESTED LOOPS
25 NESTED LOOPS Cost: 16,549 Bytes: 974,792 Cardinality: 5,768
23 NESTED LOOPS Cost: 5,070 Bytes: 811,737 Cardinality: 5,757
20 NESTED LOOPS Cost: 2,180 Bytes: 56,066 Cardinality: 578
17 NESTED LOOPS Cost: 967 Bytes: 32,118 Cardinality: 606
14 TABLE ACCESS BY INDEX ROWID TABLE CSI.CSI_ITEM_INSTANCES Cost: 22 Bytes: 3,465 Cardinality: 315
13 INDEX RANGE SCAN INDEX CSI.CSI_ITEM_INSTANCES_N07 Cost: 3 Cardinality: 315
16 TABLE ACCESS BY INDEX ROWID TABLE OKC.OKC_K_ITEMS Cost: 3 Bytes: 84 Cardinality: 2
15 INDEX RANGE SCAN INDEX OKC.OKC_K_ITEMS_N2 Cost: 2 Cardinality: 2
19 TABLE ACCESS BY INDEX ROWID TABLE OKC.OKC_K_LINES_B Cost: 2 Bytes: 44 Cardinality: 1
18 INDEX UNIQUE SCAN INDEX (UNIQUE) OKC.OKC_K_LINES_B_U1 Cost: 1 Cardinality: 1
22 TABLE ACCESS BY INDEX ROWID TABLE OKC.OKC_K_LINES_B Cost: 5 Bytes: 440 Cardinality: 10
21 INDEX RANGE SCAN INDEX OKC.OKC_K_LINES_B_N2 Cost: 2 Cardinality: 9
24 INDEX UNIQUE SCAN INDEX (UNIQUE) OKC.OKC_K_LINES_TL_U1 Cost: 1 Cardinality: 1
26 TABLE ACCESS BY INDEX ROWID TABLE OKC.OKC_K_LINES_TL Cost: 2 Bytes: 28 Cardinality: 1
44 VIEW VIEW APPS.WRS_LICENSE_INFO_V Cost: 7,212 Bytes: 2,462,837 Cardinality: 3,211
43 HASH JOIN Cost: 7,212 Bytes: 536,237 Cardinality: 3,211
41 NESTED LOOPS
39 NESTED LOOPS Cost: 7,070 Bytes: 485,792 Cardinality: 3,196
37 HASH JOIN Cost: 676 Bytes: 341,972 Cardinality: 3,196
32 HASH JOIN RIGHT OUTER Cost: 488 Bytes: 310,012 Cardinality: 3,196
30 TABLE ACCESS BY INDEX ROWID TABLE APPLSYS.FND_LOOKUP_VALUES Cost: 7 Bytes: 544 Cardinality: 17
29 INDEX RANGE SCAN INDEX (UNIQUE) APPLSYS.FND_LOOKUP_VALUES_U1 Cost: 3 Cardinality: 17
31 TABLE ACCESS FULL TABLE CSI.CSI_SYSTEMS_B Cost: 481 Bytes: 207,740 Cardinality: 3,196
36 VIEW VIEW AR.index$_join$_013 Cost: 187 Bytes: 408,870 Cardinality: 40,887
35 HASH JOIN
33 INDEX FAST FULL SCAN INDEX (UNIQUE) AR.HZ_CUST_ACCOUNTS_U1 Cost: 112 Bytes: 408,870 Cardinality: 40,887
34 INDEX FAST FULL SCAN INDEX AR.HZ_CUST_ACCOUNTS_N2 Cost: 122 Bytes: 408,870 Cardinality: 40,887
38 INDEX UNIQUE SCAN INDEX (UNIQUE) AR.HZ_PARTIES_U1 Cost: 1 Cardinality: 1
40 TABLE ACCESS BY INDEX ROWID TABLE AR.HZ_PARTIES Cost: 2 Bytes: 45 Cardinality: 1
42 TABLE ACCESS FULL TABLE CSI.CSI_SYSTEMS_TL Cost: 142 Bytes: 958,770 Cardinality: 63,918Hi,
You should always try using primary index fields, if not possible then secondary index fields.
Even if you cannot do anything from either of the two then try this,
Use Less distinct fields on the top.
In your case , you can use bukrs ,gjahr ,werks on the top in the where condition..then followed by less distinct values..
Even when you use secondary index if you have 4 fields in your sec index and you are using only two fields from the top then the index is useful only upto that two fields provided they are in sequence. -
Is there a recommended limit on the number of custom sections and the cells per table so that there are no performance issues with the UI?
Thanks Kelly,
The answers would be the following:
1200 cells per custom section (NEW COUNT), and up to 30 custom sections per spec.
Assuming all will be populated, and this would apply to all final material specs in the system which could be ~25% of all material specs.
The cells will be numeric, free text, drop downs, and some calculated numeric.
Are we reaching the limits for UI performance?
Thanks -
Performance issue with Crystal when upgrading Oracle to 11g
Dear,
I am facing performance issue in crystal report and oracle 11g as below:
In ther report server, I have created a ODBC for connect to another Oracle 11g server. also in report server I have created and published a folder to content all of my crystal report. These report can connect to oracle 11g server via ODBC.
and I have a tomcat server to run my application in my application I refer to report folder in report server.
This way can work with SQL server and oracle 9 or 10g but it facing performance issue in oracle 11g.
please let me know the root cause.
Notes: report server, tomcate server are win 32bit, but oracle is in win 64bit, and i have upgraded DataDirect connect ODBC version 6.1 but the issue can not resolve.
Please help me to solve it.
Thanks so much,
AnhHi Anh,
Use a third party ODBC test tool now. SQL Plus will be using the Native Oracle client so you can't compare performance.
Download our old tool called SQLCON: https://smpdl.sap-ag.de/~sapidp/012002523100006252882008E/sqlcon32.zip
Connect and then click on the SQL tab and paste in the SQL from the report and time that test.
I believe the issue is because the Oracle client is 64 bit, you should install the 32 bit Oracle Client. If using the 64 bit client then the client must thunk ( convert 64 bit data to 32 bit data format ) which is going to take more time.
If you can use OLE DB or using the Oracle Server driver ( native driver ) should be faster. ODBC puts another layer on top of the Oracle client so it too takes time to communicate between the layers.
Thank you
Don -
Performance Issues with large XML (1-1.5MB) files
Hi,
I'm using an XML Schema based Object relational storage for my XML documents which are typically 1-1.5 MB in size and having serious performance issues with XPath Query.
When I do XPath query against an element of SQLType varchar2, I get a good performance. But when I do a similar XPath query against an element of SQLType Collection (Varray of varchar2), I get a very ordinary performance.
I have also created indexes on extract() and analyzed my XMLType table and indexes, but I have no performance gain. Also, I have tried all sorts of storage options available for Collections ie. Varray's, Nested Tables, IOT's, LOB's, Inline, etc... and all these gave me same bad performance.
I even tried creating XMLType views based on XPath queries but the performance didn't improve much.
I guess I'm running out of options and patience as well.;)
I would appreciate any ideas/suggestions, please help.....
Thanks;
Ramakrishna ChintaAre you having similar symptoms as I am? http://discussions.apple.com/thread.jspa?threadID=2234792&tstart=0
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