Performance Decrease with ComboBoxes

Memory consumption and bad performance decrease when closing and reopening panels containing ComboBoxes.
Context:
- Running localMode
- Jdev 9.0.3.1 DE
- Business Component Version 9.0.3.10.62
- jdk 1.3.1_02
Panel (within an JInternal frame) with some JUComboBoxes with LOV-Binding to ViewObjects, only with a few entries (2-20)
We observed, that the count of JUIteratorBindings encreases with every new Panel (re)open.
After closing the Internal Frame (including the Panel) the IteratorBindings of all ComboBoxes keep alive and a set of new ones are added to the PanelBinding when opening the (same) Panel once more.
Is it a bug?
Have one to remove the IteratorBindings explicitly?
Is there any configuration possibility, that the IteratorBindings die with the Panel?
Has anyone the same problem?
Roswitha Stepputtis

Yes, we experience similar problems. My suggestion would be to simply hide (setVisible(false)) your internal frames and reuse them when you open them again.
So, instead of dynamically re-creating your JInternalFrame instances, you keep a reference to them once they are created and reuse them each time they should be made visible. I think this will make your application more efficient as a whole.

Similar Messages

SQL Server 2005 performance decreases with DB size while SQL Server 2012 is fine

Hi,
We have a C# windows service running that polls some files and inserts/updates some fields in database.
The service was tested on a local dev machine with SQL Server 2012 running and performance was quite decent with any number of records. Later on the service was moved to a test stage environment where SQL Server 2005 is installed. At that point database
was still empty and service was running just fine but later on, after some 500k records were written, performance problems came to light. After some more tests we've founds out that, basically, database operation performance in SQL Server 2005 decreases with
a direct correlation with the database size. Here are some testing results:
Run#
1
2
3
4
5
DB size (records)
520k
620k
720k
820k
920k
SQL Server 2005
TotalRunTime
25:25.1
32:25.4
38:27.3
42:50.5
43:51.8
Get1
00:18.3
00:18.9
00:20.1
00:20.1
00:19.3
Get2
01:13.4
01:17.9
01:21.0
01:21.2
01:17.5
Get3
01:19.5
01:24.6
01:28.4
01:29.3
01:24.8
Count1
00:19.9
00:18.7
00:17.9
00:18.7
00:19.1
Count2
00:44.5
00:45.7
00:45.9
00:47.0
00:46.0
Count3
00:21.7
00:21.7
00:21.7
00:22.3
00:22.3
Count4
00:23.6
00:23.9
00:23.9
00:24.9
00:24.5
Process1
03:10.6
03:15.4
03:14.7
03:21.5
03:19.6
Process2
17:08.7
23:35.7
28:53.8
32:58.3
34:46.9
Count5
00:02.3
00:02.3
00:02.3
00:02.3
00:02.1
Count6
00:01.6
00:01.6
00:01.6
00:01.7
00:01.7
Count7
00:01.9
00:01.9
00:01.7
00:02.0
00:02.0
Process3
00:02.0
00:01.8
00:01.8
00:01.8
00:01.8
SQL Server 2012
TotalRunTime
12:51.6
13:38.7
13:20.4
13:38.0
12:38.8
Get1
00:21.6
00:21.7
00:20.7
00:22.7
00:21.4
Get2
01:38.3
01:37.2
01:31.6
01:39.2
01:37.3
Get3
01:41.7
01:42.1
01:35.9
01:44.5
01:41.7
Count1
00:20.3
00:19.9
00:19.9
00:21.5
00:17.3
Count2
01:04.5
01:04.8
01:05.3
01:10.0
01:01.0
Count3
00:24.5
00:24.1
00:23.7
00:26.0
00:21.7
Count4
00:26.3
00:24.6
00:25.1
00:27.5
00:23.7
Process1
03:52.3
03:57.7
03:59.4
04:21.2
03:41.4
Process2
03:05.4
03:06.2
02:53.2
03:10.3
03:06.5
Count5
00:02.8
00:02.7
00:02.6
00:02.8
00:02.7
Count6
00:02.3
00:03.0
00:02.8
00:03.4
00:02.4
Count7
00:02.5
00:02.9
00:02.8
00:03.4
00:02.5
Process3
00:21.7
00:21.0
00:20.4
00:22.8
00:21.5
One more thing is that it's not Process2 table that constantly grows in size but is Process1 table, that gets almost 100k records each run.
After that SQL Server 2005 has also been installed on a dev machine just to test things and we got exactly the same results. Both SQL Server 2005 and 2012 instances are installed using default settings with no changes at all. The same goes for databases
created for the service.
So the question is - why are there such huge differences between performance of SQL Server 2005 and 2012? Maybe there are some settings that are set by default in SQL Server 2012 database that need to be set manually in 2005?
What else can I try to test? The main problem is that production SQL Server will be updated god-knows-when and we can't just wait for that.
Any suggestions/advices are more than welcome.

...One more thing is that it's not Process2 table that constantly grows in size but is
Process1 table, that gets almost 100k records each run....
Hi,
It is not clear to me what is that you are doing, but now we have a better understanding on ONE of your tables an it is obviously you will get worse result as the data become bigger. Actually your table look like a automatic build table by ORM like Entity
Framework, and it's DDL probably do not much your needs. For example if your select query is using a filter on the other column that [setID] then you have no index and the server probably have to scan the entire table in order to find the records that you
need.
Forum is a suitable place to seek advice about a specific system (as I mentioned before we are not familiar with your system), and it is more suitable for general questions. For example the fact that you have no index except the index on the column [setID]
can indicate a problem. Ultimately to optimize the system will need to investigate it more thoroughly (as it is no longer appropriate forum ... but we're not there yet). Another point is that now we can see that you are using [timestamp] column, an this
implies that your are using this column as a filter for selecting the data. If so, then maybe a better DDL will be to use clustered index on this column and if needed a nonclustered index on the [setID] if it is needed at all...
what is obviously is that next is to check if this DDL fit
your specific needs (as i mentioned before).
Next step is to understand what action do you do with this table. (1) what is your query which become slowly in a bigger data set. (2) Are you using ORM (object relational mapping, like Entity Framework
code first), and if so then which one.
[Personal Site] [Blog] [Facebook]

JDev10g: General performance decrease with JClients like Oracle BC Browser

Hi,
I'm observing a significant performance decrease of JClient applications (homegrown and Oracle Business Components Browser)in JDev10g compared against JDev9i (9033)?
Can anyone confirm my observation?
Just create a default Dept-Emp business components package and start the Business components browser. Scroll to some data (it takes some time...) and resize the window (takes even more time)!
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My own application runs still faster with JDev9i!
What is the problem? Any hints are welcome!
Thanks,
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Excellent Blog. Thank You
Small clarification on Step **6) Oracle Home Directory, ...a) Resize the Root Partition**
Ubuntu 11.10 has Gparted available as a Ubuntu software download, DONT use that while trying the above step, instead download the ISO file from http://sourceforge.net/projects/gparted/files/gparted-live-stable/ gparted-live-0.12.0-5.iso (124.6 MB)
Burn that ISO file on a Blank DVD, reboot the Ubuntu , during startup select Boot from DVD Option if not already selected. this will take to Boot Menu Options of Gparted Live then select the first menu option, and this allows to do further action such as Re-sizing .
and once you have chosen and executed step a) . do NOT run step b) also that is "Setup External Storage"
I hope this minor clarification can avoid some confusion
Regards
Madhusudhan Rao
Edited by: MadhusudhanRao on Mar 24, 2012 11:30 PM

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i have a box with
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512 M ram
arch linux
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kde 4 performance with xorg 1.6/intel-legacy is noticably lower than with xorg 1.4/intel
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currently the only way to have xorg 1.4 is
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IgnorePkg = xf86-video-vesa
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i want a better solution
Last edited by ash (2009-04-19 22:48:49)

you do not need nearly as many packages on hold. Haven't logged into my 32-bit arch install for a month now, but I've maintained a xorg 1.4 install with this line just fine:
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That said, I expext to upgrade next time I use it (probably to play around with some fast boot). I would look into troubleshooting with the latest xorg and intel driver as it really should work, if I were you. I presume you have already tried starting x without a xorg.conf as a baseline test with those versions?

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class PriorityRenderer extends DefaultTableCellRenderer {
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But how long does it take to fill the DataTable?
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Performance decrease with flash animation/games

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Make sure you have the latest versions of Adobe Flash Player Software.
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Hi Experts,
After i tried a few times, i can successfully start prepare with upgrade asistant monitor - Administrator >> Start Prepare,
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Hi Jaydeep,
You create one J2ee library project. In this project include all required external jars. Build it and deploy on the server.
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http://help.sap.com/saphelp_nw04/helpdata/en/ef/45393c3eb3036be10000000a11402f/frameset.htm
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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?

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 issues with pipelined table functions

I am testing pipelined table functions to be able to re-use the base_query function. Contrary to my understanding, the with_pipeline procedure runs 6 time slower than the legacy no_pipeline procedure. Am I missing something? The processor function is from [url http://www.oracle-developer.net/display.php?id=429]improving performance with pipelined table functions .
Edit: The underlying query returns 500,000 rows in about 3 minutes. So there are are no performance issues with the query itself.
Many thanks in advance.
CREATE OR REPLACE PACKAGE pipeline_example
IS
 TYPE resultset_typ IS REF CURSOR;
 TYPE row_typ IS RECORD (colC VARCHAR2(200), colD VARCHAR2(200), colE VARCHAR2(200));
 TYPE table_typ IS TABLE OF row_typ;
 FUNCTION base_query (argA IN VARCHAR2, argB IN VARCHAR2)
 RETURN resultset_typ;
 c_default_limit CONSTANT PLS_INTEGER := 100;
 FUNCTION processor (
 p_source_data IN resultset_typ,
 p_limit_size IN PLS_INTEGER DEFAULT c_default_limit)
 RETURN table_typ
 PIPELINED
 PARALLEL_ENABLE(PARTITION p_source_data BY ANY);
 PROCEDURE with_pipeline (argA IN VARCHAR2,
 argB IN VARCHAR2,
 o_resultset OUT resultset_typ);
 PROCEDURE no_pipeline (argA IN VARCHAR2,
 argB IN VARCHAR2,
 o_resultset OUT resultset_typ);
END pipeline_example;
CREATE OR REPLACE PACKAGE BODY pipeline_example
IS
 FUNCTION base_query (argA IN VARCHAR2, argB IN VARCHAR2)
 RETURN resultset_typ
 IS
 o_resultset resultset_typ;
 BEGIN
 OPEN o_resultset FOR
 SELECT colC, colD, colE
 FROM some_table
 WHERE colA = ArgA AND colB = argB;
 RETURN o_resultset;
 END base_query;
 FUNCTION processor (
 p_source_data IN resultset_typ,
 p_limit_size IN PLS_INTEGER DEFAULT c_default_limit)
 RETURN table_typ
 PIPELINED
 PARALLEL_ENABLE(PARTITION p_source_data BY ANY)
 IS
 aa_source_data table_typ;-- := table_typ ();
 BEGIN
 LOOP
 FETCH p_source_data
 BULK COLLECT INTO aa_source_data
 LIMIT p_limit_size;
 EXIT WHEN aa_source_data.COUNT = 0;
 /* Process the batch of (p_limit_size) records... */
 FOR i IN 1 .. aa_source_data.COUNT
 LOOP
 PIPE ROW (aa_source_data (i));
 END LOOP;
 END LOOP;
 CLOSE p_source_data;
 RETURN;
 END processor;
 PROCEDURE with_pipeline (argA IN VARCHAR2,
 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,
 SUM (CASE WHEN colE > colD AND colD != '0' THEN colE / ColD END)ed,
 SUM (CASE WHEN colD = colE AND colD != '0' THEN '1' END) de_one,
 SUM (CASE WHEN colD = '0' OR colE = '0' THEN '0' END) de_zero
 FROM TABLE (processor (base_query (argA, argB),100)) t
 GROUP BY colC
 ORDER BY colC
 END with_pipeline;
 PROCEDURE no_pipeline (argA IN VARCHAR2,
 argB IN VARCHAR2,
 o_resultset OUT resultset_typ)
 IS
 BEGIN
 OPEN o_resultset FOR
 SELECT colC,
 SUM (CASE WHEN colD > colE AND colE != '0' THEN colD / ColE END)de,
 SUM (CASE WHEN colE > colD AND colD != '0' THEN colE / ColD END)ed,
 SUM (CASE WHEN colD = colE AND colD != '0' THEN 1 END) de_one,
 SUM (CASE WHEN colD = '0' OR colE = '0' THEN '0' END) de_zero
 FROM (SELECT colC, colD, colE
 FROM some_table
 WHERE colA = ArgA AND colB = argB)
 GROUP BY colC
 ORDER BY colC;
 END no_pipeline;
END pipeline_example;
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
Edited by: Earthlink on Nov 20, 2010 12:54 PM

Earthlink wrote:
Contrary to my understanding, the with_pipeline procedure runs 6 time slower than the legacy no_pipeline procedure. Am I missing something? Well, we're missing a lot here.
Like:
- a database version
- how did you test
- what data do you have, how is it distributed, indexed
and so on.
If you want to find out what's going on then use a TRACE with wait events.
All nessecary steps are explained in these threads:
HOW TO: Post a SQL statement tuning request - template posting
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

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