Performance Problem Issue

Hi Experts,
I am working in a developement project.Our project is gone live for 2 stores but for that also we are facing major performance issue.Al most all the reports are getting timed out for a store data.We have already done performance tuning from ABAP side.Is there any oother parameters like buffer or database tuning can be done. I initially checked with ST02 where swaps is very high.Is there any problem with that? Is there any role of buffer tuning in this peoblem.

We are using SAP version ECC 6 and OS Windows XP 2002 with service pack 3.How ever i don know the database version.
While i am checking in st02 below mentioned parameter for swaps i found and other than 0 s all are in red color.Is there any thing wrong.If it is wat steps i can suggest the basis person to perform.
Buffer                              Swaps
Nametab (NTAB)                         0
Table definiti                     29,289
Field definiti                     159,353
Short NTAB                               0
Initial record                    102,282
program                            455,804
CUA                                  402,312
Screen                                  6,403
Calendar                                       0
OTR                                              0
Tables
Generic Key                         2,587
Single record                          224
Export/import                   3,616,944
Exp./ Imp. SHM                             0
Edited by: cenosure on Nov 3, 2010 6:26 AM
Edited by: cenosure on Nov 3, 2010 6:27 AM

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hello ....
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Please help me and tell me why....

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http://it.toolbox.com/blogs/sap-on-db2/sap-report-painter-performance-problem-26000
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Edited by: christopher mancuyas on Sep 8, 2008 9:32 AM
Edited by: christopher mancuyas on Sep 9, 2008 5:39 AM

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http://www.munkyben.wordpress.com
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Hi,
Thanks for posting in Microsoft Technet Forums.
I am trying to involve someone familiar with this topic to further look at this issue. There might be some time delay. Appreciate your patience.
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Performance problems with XMLTABLE and XMLQUERY involving relational data

Hello-
Is anyone out there using XMLTABLE or XMLQUERY with more than a toy set of data? I am running into serious performance problems tyring to do basic things such as:
* Combine records in 10 relational tables into a single table of XMLTYPE records using XMLTABLE. This hangs indefinitely for any more than 800 records. Oracle has confirmed that this is a problem and is working on a fix.
* Combine a single XMLTYPE record with several relational code tables into a single XMLTYPE record using XMLQUERY and ora:view() to insert code descriptions after each code. Performance is 10 seconds for 10 records (terrible) passing a batch of records , or 160 seconds for one record (unacceptable!). How can it take 10 times longer to process 1/10th the number of records? Ironically, the query plan says it will do a full table scan of records for the batch, but an index access for the one record passed to the XMLQUERY.
I am rapidly losing faith in XML DB, and desparately need some hints on how to work around these performance problems, or at least some assurance that others have been able to get this thing to perform.

<Note>Long post, sorry.</Note>
First, thanks for the responses above. I'm impressed with the quality of thought put into them. (Do the forum rules allow me to offer rewards? :) One suggestion in particular made a big performance improvement, and I’m encouraged to hear of good performance in pure XML situations. Unfortunately, I think there is a real performance challenge in two use cases that are pertinent to the XML+relational subject of this post and probably increasingly common as XML DB usage increases:
• Converting legacy tabular data into XML records; and
• Performing code table lookups for coded values in XML records.
There are three things I want to accomplish with this post:
• Clarify what we are trying to accomplish, which might expose completely different approaches than I have tried
• Let you know what I tried so far and the rationale for my approach to help expose flaws in my thinking and share what I have learned
• Highlight remaining performance issues in hopes that we can solve them
What we are trying to accomplish:
• Receive a monthly feed of 10,000 XML records (batched together in text files), each containing information about an employee, including elements that repeat for every year of service. We may need to process an annual feed of 1,000,000 XML records in the future.
• Receive a one-time feed of 500,000 employee records stored in about 10 relational tables, with a maximum join depth of 2 or 3. This is inherently a relational-to-XML process. One record/second is minimally acceptable, but 10 records/sec would be better.
• Consolidate a few records (from different providers) for each employee into a single record. Given the data volume, we need to achieve a minimum rate of 10 records per second. This may be an XML-only process, or XML+relational if code lookups are done during consolidation.
• Allow the records to be viewed and edited, with codes resolved into user-friendly descriptions. Since a user is sitting there, code lookups done when a record is viewed (vs. during consolidation) should not take more than 3 seconds total. We have about 20 code tables averaging a few hundred rows each, though one has 450,000 rows.
As requested earlier, I have included code at the end of this post for example tables and queries that accurately (but simply) replicate our real system.
Why we did and why:
• Stored the source XML records as CLOBS: We did this to preserve the records exactly as they were certified and sent from providers. In addition, we always access the entire XML record as a whole (e.g., when viewing a record or consolidating employee records), so this storage model seemed like a good fit. We can copy them into another format if necessary.
• Stored the consolidated XML employee records as “binary XML”. We did this because we almost always access a single, entire record as a whole (for view/edit), but might want to create some summary statistics at some point. Binary XML seemed the best fit.
• Used ora:view() for both tabular source records and lookup tables. We are not aware of any alternatives at this time. If it made sense, most code tables could be pre-converted into XML documents, but this seemed risky from a performance standpoint because the lookups use both code and date range constraints (the meaning of codes changes over time).
• Stored records as XMLTYPE columns in a table with other key columns on the table, plus an XMLTYPE metadata column. We thought this would facilitate pulling a single record (or a few records for a given employee) quickly. We knew this might be unnecessary given XML indexes and virtual columns, but were not experienced with those and wanted the comfort of traditional keys. We did not used XMLTYPE tables or the XML Repository for documents.
• Used XMLTABLE to consolidate XML records by looping over each distinct employee ID in the source batch. We also tried XMLQUERY and it seems to perform about the same. We can achieve 10 to 20 records/second if we do not do any code lookups during consolidation, just meeting our performance requirement, but still much slower than expected.
• Used PL/SQL with XMLFOREST to convert tabular source records to XML by looping over distinct employee IDs. We tried this outside PL/SQL both with XMLFOREST and XMLTABLE+ora:view(), but it hangs in both cases for more than 800 records (a known/open issue). We were able to get it to work by using an explicit cursor to loop over distinct employee IDs (rather than processing all records at once within the query). The performance is one record/second, which is minimally acceptable and interferes with other database activity.
• Used XMLQUERY plus ora:view() plus XPATH constraints to perform code lookups. When passing a single employee record, the response time ranges from 1 sec to 160 sec depending on the length of the record (i.e., number of years of service). We achieved a 5-fold speedup using an XMLINDEX (thank you Marco!!). The result may be minimally acceptable, but I’m baffled why the index would be needed when processing a single XML record. Other things we tried: joining code tables in the FOR...WHERE clauses, joining code tables using LET with XPATH constraints and LET with WHERE clause constraints, and looking up codes individually via JDBC from the application code at presentation time. All those approaches were slower. Note: the difference I mentioned above in equality/inequality constraint performance was due to data record variations not query plan variations.
What issues remain?
We have a minimally acceptable solution from a performance standpoint with one very awkward PL/SQL workaround. The performance of a mixed XML+relational data query is still marginal IMHO, until we properly utilize available optimizations, fix known problems, and perhaps get some new query optimizations. On the last point, I think the query plan for tabular lookups of codes in XML records is falling short right now. I’m reminded of data warehousing in the days before hash joins and star join optimization. I would be happy to be wrong, and just as happy for viable workarounds if I am right!
Here are the details on our code lookup challenge. Additional suggestions would be greatly appreciated. I’ll try to post more detail on the legacy table conversion challenge later.
-- The main record table:
create table RECORDS (
SSN varchar2(20),
XMLREC sys.xmltype
xmltype column XMLREC store as binary xml;
create index records_ssn on records(ssn);
-- A dozen code tables represented by one like this:
create table CODES (
CODE varchar2(4),
DESCRIPTION varchar2(500)
create index codes_code on codes(code);
-- Some XML records with coded values (the real records are much more complex of course):
-- I think this took about a minute or two
DECLARE
ssn varchar2(20);
xmlrec xmltype;
i integer;
BEGIN
xmlrec := xmltype('<?xml version="1.0"?>
<Root>
<Id>123456789</Id>
<Element>
<Subelement1><Code>11</Code></Subelement1>
<Subelement2><Code>21</Code></Subelement2>
<Subelement3><Code>31</Code></Subelement3>
</Element>
<Element>
<Subelement1><Code>11</Code></Subelement1>
<Subelement2><Code>21</Code></Subelement2>
<Subelement3><Code>31</Code></Subelement3>
</Element>
<Element>
<Subelement1><Code>11</Code></Subelement1>
<Subelement2><Code>21</Code></Subelement2>
<Subelement3><Code>31</Code></Subelement3>
</Element>
</Root>
for i IN 1..100000 loop
insert into records(ssn, xmlrec) values (i, xmlrec);
end loop;
commit;
END;
-- Some code data like this (ignoring date ranges on codes):
DECLARE
description varchar2(100);
i integer;
BEGIN
description := 'This is the code description ';
for i IN 1..3000 loop
insert into codes(code, description) values (to_char(i), description);
end loop;
commit;
end;
-- Retrieve one record while performing code lookups. Takes about 5-6 seconds...pretty slow.
-- Each additional lookup (times 3 repeating elements in the data) adds about 1 second.
-- A typical real record has 5 Elements and 20 Subelements, meaning more than 20 seconds to display the record
-- Note we are accessing a single XML record based on SSN
-- Note also we are reusing the one test code table multiple times for convenience of this test
select xmlquery('
for $r in Root
return
<Root>
<Id>123456789</Id>
{for $e in $r/Element
 return
 <Element>
 <Subelement1>
 {$e/Subelement1/Code}
<Description>
{ora:view("disaac","codes")/ROW[CODE=$e/Subelement1/Code]/DESCRIPTION/text() }
</Description>
</Subelement1>
<Subelement2>
{$e/Subelement2/Code}
<Description>
{ora:view("disaac","codes")/ROW[CODE=$e/Subelement2/Code]/DESCRIPTION/text()}
</Description>
</Subelement2>
<Subelement3>
{$e/Subelement3/Code}
<Description>
{ora:view("disaac","codes")/ROW[CODE=$e/Subelement3/Code]/DESCRIPTION/text() }
</Description>
</Subelement3>
</Element>
</Root>
' passing xmlrec returning content)
from records
where ssn = '10000';
The plan shows the nested loop access that slows things down.
By contrast, a functionally-similar SQL query on relational data will use a hash join and perform 10x to 100x faster, even for a single record. There seems to be no way for the optimizer to see the regularity in the XML structure and perform a corresponding optimization in joining the code tables. Not sure if registering a schema would help. Using structured storage probably would. But should that be necessary given we’re working with a single record?
Operation Object
|SELECT STATEMENT ()
| SORT (AGGREGATE)
| NESTED LOOPS (SEMI)
| TABLE ACCESS (FULL) CODES
| XPATH EVALUATION ()
| SORT (AGGREGATE)
| NESTED LOOPS (SEMI)
| TABLE ACCESS (FULL) CODES
| XPATH EVALUATION ()
| SORT (AGGREGATE)
| NESTED LOOPS (SEMI)
| TABLE ACCESS (FULL) CODES
| XPATH EVALUATION ()
| SORT (AGGREGATE)
| XPATH EVALUATION ()
| SORT (AGGREGATE)
| XPATH EVALUATION ()
| TABLE ACCESS (BY INDEX ROWID) RECORDS
| INDEX (RANGE SCAN) RECORDS_SSN
With an xmlindex, the same query above runs in about 1 second, so is about 5x faster (0.2 sec/lookup), which is almost good enough. Is this the answer? Or is there a better way? I’m not sure why the optimizer wants to scan the code tables and index into the (one) XML record, rather than the other way around, but maybe that makes sense if the optimizer wants to use the same general plan as when the WHERE clause constraint is relaxed to multiple records.
-- Add an xmlindex. Takes about 2.5 minutes
create index records_record_xml ON records(xmlrec)
indextype IS xdb.xmlindex;
Operation Object
|SELECT STATEMENT ()
| SORT (GROUP BY)
| FILTER ()
| NESTED LOOPS ()
| FAST DUAL ()
| TABLE ACCESS (BY INDEX ROWID) SYS113473_RECORDS_R_PATH_TABLE
| INDEX (RANGE SCAN) SYS113473_RECORDS_R_PATHID_IX
| SORT (AGGREGATE)
| FILTER ()
| TABLE ACCESS (FULL) CODES
| FILTER ()
| NESTED LOOPS ()
| FAST DUAL ()
| TABLE ACCESS (BY INDEX ROWID) SYS113473_RECORDS_R_PATH_TABLE
| INDEX (RANGE SCAN) SYS113473_RECORDS_R_PATHID_IX
| SORT (GROUP BY)
| FILTER ()
| NESTED LOOPS ()
| FAST DUAL ()
| TABLE ACCESS (BY INDEX ROWID) SYS113473_RECORDS_R_PATH_TABLE
| INDEX (RANGE SCAN) SYS113473_RECORDS_R_PATHID_IX
| SORT (AGGREGATE)
| FILTER ()
| TABLE ACCESS (FULL) CODES
| FILTER ()
| NESTED LOOPS ()
| FAST DUAL ()
| TABLE ACCESS (BY INDEX ROWID) SYS113473_RECORDS_R_PATH_TABLE
| INDEX (RANGE SCAN) SYS113473_RECORDS_R_PATHID_IX
| SORT (GROUP BY)
| FILTER ()
| NESTED LOOPS ()
| FAST DUAL ()
| TABLE ACCESS (BY INDEX ROWID) SYS113473_RECORDS_R_PATH_TABLE
| INDEX (RANGE SCAN) SYS113473_RECORDS_R_PATHID_IX
| SORT (AGGREGATE)
| FILTER ()
| TABLE ACCESS (FULL) CODES
| FILTER ()
| NESTED LOOPS ()
| FAST DUAL ()
| TABLE ACCESS (BY INDEX ROWID) SYS113473_RECORDS_R_PATH_TABLE
| INDEX (RANGE SCAN) SYS113473_RECORDS_R_PATHID_IX
| SORT (AGGREGATE)
| FILTER ()
| NESTED LOOPS ()
| FAST DUAL ()
| TABLE ACCESS (BY INDEX ROWID) SYS113473_RECORDS_R_PATH_TABLE
| INDEX (RANGE SCAN) SYS113473_RECORDS_R_PATHID_IX
| SORT (AGGREGATE)
| TABLE ACCESS (BY INDEX ROWID) SYS113473_RECORDS_R_PATH_TABLE
| INDEX (RANGE SCAN) SYS113473_RECORDS_R_PATHID_IX
| TABLE ACCESS (BY INDEX ROWID) RECORDS
| INDEX (RANGE SCAN) RECORDS_SSN
Am I on the right path, or am I totally using the wrong approach? I thought about using XSLT but was unsure how to reference the code tables.
I’ve done the best I can constraining the main record to a single row passed to the XMLQUERY. Given Mark’s post (thanks!) should I be joining and constraining the code tables in the SQL WHERE clause too? That’s going to make the query much more complicated, but right now we’re more concerned about performance than complexity.

Performance Problems - Index and Statistics

Dear Gurus,
I am having problems lossing indexes and statistics on cubes ,it seems my indexes are too old which in fact are not too old just created a month back and we check indexes daily and it returns us RED on the manage TAB.
please help

Dear Mr Syed ,
Solution steps I mentioned in my previous reply itself explains so called RE-ORG of tables;however to clarify more on that issue.
Occasionally,ORACLE Cost-Based Optimizer may calculate the estimated costs for a Full Table Scan lower than those for an Index Scan, although the actual runtime of an access via an index would be considerably lower than the runtime of the Full Table Scan,Some Imperative points to be considered in order to perk up the performance and improve on quandary areas such as extensive running times for Change runs & Aggregate activate & fill ups.
Performance problems based on a wrong optimizer decision would show that there is something serious missing at Database level and we need to RE_ORG the degenerated indexes in order to perk up the overall performance and avoid daily manual (RSRV+RSNAORA)activities on almost similar indexes.
For Re-organizing degenerated indexes 3 options are available-
1) DROP INDEX ..., and CREATE INDEX 
2)ALTER INDEX <index name> REBUILD (ONLINE PARALLEL x NOLOGGING)
3) ALTER INDEX <index name> COALESCE [as of Oracle 8i (8.1) only]
Each option has its Pros & Cons ,option 2 seems to be having lot of advantages to
Advantages- option 2
1)Fast storage in a different table space possible
2)Creates a new index tree
3)Gives the option to change storage parameters without deleting the index
4)As of Oracle 8i (8.1), you can avoid a lock on the table by specifying the ONLINE option. In this case, Oracle waits until the resource has been released, and then starts the rebuild. The "resource busy" error no longer occurs.
I would still leave the Database tech team be the best to judge and take a call on these.
These modus operandi could be institutionalized for all fretful cubes & its indexes as well.
However,I leave the thoughts with you.
Hope it Helps
Chetan
@CP..

Curious performance problem

Hello,
I have a very curious performance problem. I have a query which returns 0 rows and takes around 9 secs to execute in TopLink. If I try to execute generated SQL for that ReadAllQuery (taken from log) directly through JDBC, it takes only 70ms. I use TopLink 9.0.3 with Oracle9i 9.2.0.3. I've traced through sources and identified that the problem is not in Toplink directly but in call to Oracle JDBC driver. But then I don't understand why in my JDBC case it is so fast. The problem is the same no matter if I use thin or OCI driver.
I've prepared a little test to show it up:
import com.abilitydev.slovalco.parameter.messages.PotMessageLogJDO;
import java.util.Vector;
import oracle.toplink.expressions.Expression;
import oracle.toplink.expressions.ExpressionBuilder;
import oracle.toplink.queryframework.ReadAllQuery;
import oracle.toplink.queryframework.SQLCall;
import oracle.toplink.sessions.DatabaseSession;
import oracle.toplink.sessions.DefaultSessionLog;
import oracle.toplink.sessions.Project;
import oracle.toplink.tools.profiler.PerformanceProfiler;
import oracle.toplink.tools.workbench.XMLProjectReader;
* @author mstraka
public class ToplinkTest {
public static void main(String[] args) {
try {
// Pure JDBC test
String sql =
"SELECT object_type, MESSAGENUMBER, object_id, MESSAGETYPE, TIMESTAMP, VALUE1, POTORDER, " +
"VALUE2, VALUE3, ORDERNUMBER, VALUE4, POTNAME, ISINCOMINGMESSAGE " +
"FROM POTMESSAGELOG " +
"WHERE " +
"((((TIMESTAMP >= TO_DATE('2003-07-21 15:00:00', 'YYYY-MM-DD HH24:MI:SS')) " +
"AND (TIMESTAMP <= TO_DATE('2003-07-21 16:00:00', 'YYYY-MM-DD HH24:MI:SS'))) " +
"AND ((POTORDER >= 1) AND (POTORDER <= 172))) AND " +
"(object_type = 'com.abilitydev.slovalco.parameter.messages.PotMessageLogJDO')) " +
"ORDER BY TIMESTAMP ASC";
Class.forName("oracle.jdbc.driver.OracleDriver");
java.sql.Connection con = java.sql.DriverManager.getConnection("jdbc:oracle:oci8:@katka", "sco", "sco");
long time = System.currentTimeMillis();
java.sql.PreparedStatement ps = con.prepareStatement(sql);
java.sql.ResultSet rs = ps.executeQuery();
int rows = 0;
while (rs.next()) {
rows++;
System.out.println("*** Pure JDBC test ****");
System.out.println("Rows: " + rows);
System.out.println("JDBC Time: " + String.valueOf(System.currentTimeMillis() - time) + " ms");
rs.close();
ps.close();
con.close();
// TopLink test
XMLProjectReader xmlReader = new XMLProjectReader();
Project project = xmlReader.read("./config/bc/tlproject.xml");
project.getLogin().setUserName("sco");
project.getLogin().setPassword("sco");
DatabaseSession dbSession = project.createDatabaseSession();
dbSession.logMessages();
DefaultSessionLog log = (DefaultSessionLog) dbSession.getSessionLog();
log.logDebug();
log.logExceptions();
log.logExceptionStackTrace();
log.printDate();
dbSession.login();
java.util.Calendar cal = java.util.Calendar.getInstance();
cal.set(java.util.Calendar.YEAR, 2003);
cal.set(java.util.Calendar.MONTH, 6);
cal.set(java.util.Calendar.DAY_OF_MONTH, 21);
cal.set(java.util.Calendar.HOUR_OF_DAY, 15);
cal.set(java.util.Calendar.MINUTE, 0);
cal.set(java.util.Calendar.SECOND, 0);
cal.set(java.util.Calendar.MILLISECOND, 0);
ExpressionBuilder eb = new ExpressionBuilder();
Expression ex = eb.get("timestamp").greaterThanEqual(new java.sql.Date(cal.getTimeInMillis()));
cal.set(java.util.Calendar.HOUR_OF_DAY, 16);
ex = ex.and(eb.get("timestamp").lessThanEqual(new java.sql.Date(cal.getTimeInMillis())));
Expression pot = eb.get("potOrder").greaterThanEqual(1);
pot = pot.and(eb.get("potOrder").lessThanEqual(172));
dbSession.setProfiler(new PerformanceProfiler());
ReadAllQuery rq = new ReadAllQuery(PotMessageLogJDO.class);
rq.setSelectionCriteria(ex.and(pot));
rq.addAscendingOrdering("timestamp");
time = System.currentTimeMillis();
Vector result = (Vector)dbSession.executeQuery(rq);
System.out.println("*** TopLink ReadAllQuery test ****");
System.out.println("Rows: " + result.size());
System.out.println("TopLink Time: " + String.valueOf(System.currentTimeMillis() - time) + " ms");
time = System.currentTimeMillis();
result = (Vector)dbSession.executeSelectingCall(new SQLCall(sql));
System.out.println("*** TopLink direct SQL test ****");
System.out.println("Rows: " + result.size());
System.out.println("TopLink SQL Time: " + String.valueOf(System.currentTimeMillis() - time) + " ms");
} catch (Exception e) {
e.printStackTrace();
...and here is output from run:
*** Pure JDBC test ****
Rows: 0
JDBC Time: 62 ms
2003.07.21 06:07:44.127--DatabaseSession(30752603)--Connection(20092482)--TopLink, version:TopLink - 9.0.3 (Build 423)
2003.07.21 06:07:44.736--DatabaseSession(30752603)--Connection(20092482)--connecting(DatabaseLogin(
 platform => OraclePlatform
 user name => "sco"
 datasource URL => "jdbc:oracle:oci8:@katka"
2003.07.21 06:07:44.799--DatabaseSession(30752603)--Connection(20092482)--Connected: jdbc:oracle:oci8:@katka
 User: SCO
 Database: Oracle Version: Oracle9i Enterprise Edition Release 9.2.0.3.0 - Production
With the Partitioning, OLAP and Oracle Data Mining options
JServer Release 9.2.0.3.0 - Production
 Driver: Oracle JDBC driver Version: 9.2.0.1.0
2003.07.21 06:07:44.971--DatabaseSession(30752603)--#executeQuery(ReadAllQuery(com.abilitydev.slovalco.parameter.messages.PotMessageLogJDO))
Begin Profile of{ReadAllQuery(com.abilitydev.slovalco.parameter.messages.PotMessageLogJDO)
2003.07.21 06:07:45.002--DatabaseSession(30752603)--Connection(20092482)--SELECT object_type, MESSAGENUMBER, object_id, MESSAGETYPE, TIMESTAMP, VALUE1, POTORDER, VALUE2, VALUE3, ORDERNUMBER, VALUE4, POTNAME, ISINCOMINGMESSAGE FROM POTMESSAGELOG WHERE ((((TIMESTAMP >= {ts '2003-07-21 15:00:00.0'}) AND (TIMESTAMP <= {ts '2003-07-21 16:00:00.0'})) AND ((POTORDER >= 1) AND (POTORDER <= 172))) AND (object_type = 'com.abilitydev.slovalco.parameter.messages.PotMessageLogJDO')) ORDER BY TIMESTAMP ASC
Profile(ReadAllQuery,
 class=com.abilitydev.slovalco.parameter.messages.PotMessageLogJDO,
 total time=9453,
 local time=9453,
 query prepare=15,
 sql execute=9422,
} End Profile
*** TopLink ReadAllQuery test ****
Rows: 0
TopLink Time: 9468 ms
2003.07.21 06:07:54.439--DatabaseSession(30752603)--#executeQuery(DataReadQuery())
Begin Profile of{DataReadQuery()
2003.07.21 06:07:54.439--DatabaseSession(30752603)--Connection(20092482)--SELECT object_type, MESSAGENUMBER, object_id, MESSAGETYPE, TIMESTAMP, VALUE1, POTORDER, VALUE2, VALUE3, ORDERNUMBER, VALUE4, POTNAME, ISINCOMINGMESSAGE FROM POTMESSAGELOG WHERE ((((TIMESTAMP >= TO_DATE('2003-07-21 15:00:00', 'YYYY-MM-DD HH24:MI:SS')) AND (TIMESTAMP <= TO_DATE('2003-07-21 16:00:00', 'YYYY-MM-DD HH24:MI:SS'))) AND ((POTORDER >= 1) AND (POTORDER <= 172))) AND (object_type = 'com.abilitydev.slovalco.parameter.messages.PotMessageLogJDO')) ORDER BY TIMESTAMP ASC
Profile(DataReadQuery,
 total time=0,
 local time=0,
} End Profile
*** TopLink direct SQL test ****
Rows: 0
TopLink SQL Time: 16 ms
Thanks a lot!
Marcel

Marcel,
TopLink supports native SQL generation that will use the TO_DATE operators. You can turn on native SQL in a couple of ways.
1. SESSIONS.XML
 <login>
 <platform-class>oracle.toplink.internal.databaseaccess.OraclePlatform</platform-class>
 <user-name>user</user-name>
 <password>password</password>
 <uses-native-sequencing>true</uses-native-sequencing>
2. Through DatabaseLogin API:
After the project is read in or instantiated:
project.getLogin().useNativeSQL();
This should get the SQL you need and address your performance issue.
Doug

Performance problem with Mavericks.

Performance problem with Mavericks. My Mac is extremly slow after upgrading to Mavericks. What can i do to solve that?

If you are still experiencing slow down issues, it maybe because of a few other reasons.
Our experience with OS X upgrades, and Mavericks is no exception, is that users have installed a combination of third party software and/or hardware that is incompatible and/or is outdated that causes many negative performance issues when upgrading to a new OS X version.
Your Mac's hard drive maybe getting full.
Do you run any antivirus software on your Mac? Commercial Antivirus software can slow down and negatively impact the normal operation of OS X.
Do you have apps like MacKeeper or any other maintenance apps like CleanMyMac 1 or 2, TuneUpMyMac or anything like these apps, installed on your Mac? These types of apps, while they appear to be helpful, can do too good a job of data "cleanup" causing the potential to do serious data corruption or data deletion and render a perfectly running OS completely dead and useless leaving you with a frozen, non-functional Mac.
Your Mac may have way too many applications launching at startup/login.
Your Mac may have old, non-updated or incompatible software installed.
Your Mac could have incompatible or outdated web browser extensions, plugins or add-ons.
Your Mac could have connected third party hardware that needs updated device drivers.
It would help us to help you if we could have some more technical info about your iMac.
If you so choose, please download, install and run Etrecheck.
Etrecheck was developed as a simple Mac diagnostic report tool by a regular Apple Support forum user and technical support contributor named Etresoft. Etrecheck is a small, unobstrusive app that compiles a static snapshot of your entire Mac hardware system and installed software.
This is a free app that has been honestly created to provided help in diagnosing issues with Macs running the new OS X 10.9 Mavericks.
It is not malware and can be safely downloaded and installed onto your Mac.
http://www.etresoft.com/etrecheck
Copy/paste and post its report here in another reply thread so that we have a complete profile of your Mac's hardware and installed software so we can all help continue with your Mac performance issues.
Thank you.

(new?) performance problem using jDriver after a Sql Server 6.5 to 2000 conversion

Hi,
This is similar - yet different - to a few of the old postings about performance
problems with using jdbc drivers against Sql Server 7 & 2000.
Here's the situation:
I am running a standalone java application on a Solaris box using BEA's jdbc driver
to connect to a Sql Server database on another network. The application retrieves
data from the database through joins on several tables for approximately 40,000
unique ids. It then processes all of this data and produces a file. We tuned
the app so that the execution time for a single run through the application was
24 minutes running against Sql Server 6.5 with BEA's jdbc driver. After performing
a DBMS conversion to upgrade it to Sql Server 2000 I switched the jDriver to the
Sql Server 2000 version. I ran the app and got an alarming execution time of
5hrs 32 min. After some research, I found the problem with unicode and nvarchar/varchar
and set the "useVarChars" property to "true" on the driver. The execution time
for a single run through the application is now 56 minutes.
56 minutes compared to 5 1/2 hrs is an amazing improvement. However, it is still
over twice the execution time that I was seeing against the 6.5 database. Theoretically,
I should be able to switch out my jdbc driver and the DBMS conversion should be
invisible to my application. That would also mean that I should be seeing the
same execution times with both versions of the DBMS. Has anybody else seen a
simlar situation? Are there any other settings or fixes that I can put into place
to get my performance back down to what I was seeing with 6.5? I would rather
not have to go through and perform another round of performance tuning after having
already done this when the app was originally built.
thanks,
mike

Mike wrote:
Joe,
This was actually my next step. I replaced the BEA driver with
the MS driver and let it run through with out making any
configuration changes, just to see what happened. I got an
execution time of about 7 1/2 hrs (which was shocking). So,
(comparing apples to apples) while leaving the default unicode
property on, BEA ran faster than MS, 5 1/2 hrs to 7 1/2 hrs.
I then set the 'SendStringParametersAsUnicode' to 'false' on the
MS driver and ran another test. This time the application
executed in just over 24 minutes. The actual runtime was 24 min
16 sec, which is still ever so slightly above the actual runtime
against SS 6.5 which was 23 min 35 sec, but is twice as fast as the
56 minutes that BEA's driver was giving me.
I think that this is very interesting. I checked to make sure that
there were no outside factors that may have been influencing the
runtimes in either case, and there were none. Just to make sure,
I ran each driver again and got the same results. It sounds like
there are no known issues regarding this?
We have people looking into things on the DBMS side and I'm still
looking into things on my end, but so far none of us have found
anything. We'd like to continue using BEA's driver for the
support and the fact that we use Weblogic Server for all of our
online applications, but this new data might mean that I have to
switch drivers for this particular application.Thanks. No, there is no known issue, and if you put a packet sniffer
between the client and DBMS, you will probably not see any appreciable
difference in the content of the SQL sent be either driver. My suspicion is
that it involves the historical backward compatibility built in to the DBMS.
It must still handle several iterations of older applications, speaking obsolete
versions of the DBMS protocol, and expecting different DBMS behavior!
Our driver presents itself as a SQL7-level application, and may well be treated
differently than a newer one. This may include different query processing.
Because our driver is deprecated, it is unlikely that it will be changed in
future. We will certainly support you using the MS driver, and if you look
in the MS JDBC newsgroup, you'll see more answers from BEA folks than
from MS people!
Joe
>
>
Mike
The next test you should do, to isolate the issue, is to try another
JDBC driver.
MS provides a type-4 driver now, for free. If it is significantly faster,
it would be
interesting. However, it would still not isolate the problem, because
we still would
need to know what query plan is created by the DBMS, and why.
Joe Weinstein at BEA
PS: I can only tell you that our driver has not changed in it's semantic
function.
It essentially send SQL to the DBMS. It doesn't alter it.

Performance Problem Issue

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