JSF 1.1 performance, especially UIData and Data Table

Hi,
Does anybody have any JSF 1.1 (Sun reference implementation) performance experiences to share? I am currently looking at the data table component and the use of UIData. Initial observations are an incredible amount of memory is churned during rendering the data table, with the following classes culprits:
java.util.HashMap$KeyIterator
javax.faces.component.UIComponentBase$ChildrenListIterator
java.util.AbstractList$Itr
char[]
java.util.ArrayList
javax.faces.component.UIComponentBase$FacetsMapKeySetIterator
javax.faces.component.UIComponentBase$FacetsMapKeySet
javax.faces.component.UIComponentBase$FacetsMapValues
javax.faces.component.UIComponentBase$FacetsAndChildrenIterator
To render 50 rows with 10 columns (each column only having a simple outputText component) I'm seeing 1.3Mb memory churned and 0.8 seconds processing time.
To rener 100 rows with same columns and components I'm seeing nearly 2Mb churned and 2 seconds processing time.
UIData.setRowIndex is a large culprit.
I'm really after finding out your experiences on JSF performance and its scalability.
Any help here is appreciated.
Thanks - JJ

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Hi,
I'm using jsc 2 update 1 on windows and mysql 4.1 . I have a page with a data table. One column of the data table contains "Details" buttons.
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tbl_societa.codice_meccanografico
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AND YEAR(tbl_rel_tesserato_discipline_societa.data_scadenza) LIKE ?
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AND ( tbl_comuni.nome LIKE ? OR tbl_comuni.nome IS NULL)
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tbl_tesserati.nome,
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AND tbl_tesserati.nome LIKE ?
AND tbl_rel_tesserato_discipline_societa.id_societa LIKE ?
AND tbl_tesserati.idtbl_tesserati LIKE ?
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AND tbl_qualifiche.idtbl_qualifiche LIKE ?
AND tbl_tesserati.data_nascita >= ?
OR tbl_tesserati.data_nascita<= ?
AND tbl_discipline.idtbl_discipline LIKE ?
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AND tbl_societa.denominazione LIKE ?
AND YEAR(tbl_rel_tesserato_discipline_societa.data_scadenza) LIKE ?
AND (tbl_province.nome LIKE ? OR tbl_province.nome IS NULL)
AND ( tbl_comuni.nome LIKE ? OR tbl_comuni.nome IS NULL)
Using this query everything works well !! The click handler works and the debugger too !!
I changed only the AND in OR !!!
I also tried to change mysql-x-x-connector driver but without solving my problem.
Can someone help me ?
Thanks
Giorgio

You'll find that it is more to do with the way MySql deals with dates than anything else! Depending on how your date field is setup, then try using a BETWEEN statement for those 2 lines in your first query e.g.
AND ( tbl_tesserati.data_nascita BETWEEN ? AND ?)
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Alternatively, you could try using the to_days() function and convert it directly to a number which would be a lot easier to deal with. For example:
AND to_days(tbl_tesserati.data_nascita >= ? )
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More info about date formatting (v5) here:
http://dev.mysql.com/doc/refman/5.0/en/date-and-time-functions.html#function_to-days
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As a matter of interest, did you try your query in a different piece of software?
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Message was edited by:
aerostra

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<managed-bean-class>org.tennet.sicma.view.backing.SelectDesk</managed-bean-class>
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<td align="right">567</td>
<td align="right">534.23%</td>
<td>FishHead</td>
<td align="right">06/06/2006</td>
</tr>
<tr class="alternateRow">
<td>Jones</td>
<td align="right">$15</td>
<td align="right">11</td>
<td align="right">15%</td>
<td>Bubba</td>
<td align="right">10/27/2005</td>
</tr>
<tr>
<td>Supa-De-Dupa</td>
<td align="right">$145</td>
<td align="right">91</td>
<td align="right">42%</td>
<td>momma</td>
<td align="right">12/15/1996</td>
</tr>
<tr class="alternateRow">
<td>ClickClock</td>
<td align="right">$1,213</td>
<td align="right">23</td>
<td align="right">2%</td>
<td>Dada</td>
<td align="right">1/30/1998</td>
</tr>
<tr>
<td>Mrs. Robinson</td>
<td align="right">$99</td>
<td align="right">99</td>
<td align="right">(-10.42%)</td>
<td>Wife</td>
<td align="right">07/04/1963</td>
</tr>
<tr class="alternateRow">
<td>Maha</td>
<td align="right">-$19,923.19</td>
<td align="right">100</td>
<td align="right">(-10.01%)</td>
<td>Owner</td>
<td align="right">01/02/2001</td>
</tr>
<tr >
<td>Thrawl</td>
<td align="right">$9,550</td>
<td align="right">159</td>
<td align="right">-10.20%</td>
<td>Co-Owner</td>
<td align="right">11/07/2003</td>
</tr>
<tr class="alternateRow" >
<td><strong>TOTAL</strong>:</td>
<td align="right"><strong>999999</strong></td>
<td align="right"><strong>9999999</strong></td>
<td align="right"><strong>99</strong></td>
<td > </td>
<td align="right"> </td>
</tr>
</tbody>
</table>
</div></td></tr></table>
</body>
</html>

QUERY PERFORMANCE AND DATA LOADING PERFORMANCE ISSUES

WHAT ARE QUERY PERFORMANCE ISSUES WE NEED TO TAKE CARE PLEASE EXPLAIN AND LET ME KNOW T CODES...PLZ URGENT
WHAT ARE DATALOADING PERFORMANCE ISSUES WE NEED TO TAKE CARE PLEASE EXPLAIN AND LET ME KNOW T CODES PLZ URGENT
WILL REWARD FULL POINT S
REGARDS
GURU

BW Back end
Some Tips -
1)Identify long-running extraction processes on the source system. Extraction processes are performed by several extraction jobs running on the source system. The run-time of these jobs affects the performance. Use transaction code SM37 Background Processing Job Management to analyze the run-times of these jobs. If the run-time of data collection jobs lasts for several hours, schedule these jobs to run more frequently. This way, less data is written into update tables for each run and extraction performance increases.
2)Identify high run-times for ABAP code, especially for user exits. The quality of any custom ABAP programs used in data extraction affects the extraction performance. Use transaction code SE30 ABAP/4 Run-time Analysis and then run the analysis for the transaction code RSA3 Extractor Checker. The system then records the activities of the extraction program so you can review them to identify time-consuming activities. Eliminate those long-running activities or substitute them with alternative program logic.
3)Identify expensive SQL statements. If database run-time is high for extraction jobs, use transaction code ST05 Performance Trace. On this screen, select ALEREMOTE user and then select SQL trace to record the SQL statements. Identify the time-consuming sections from the results. If the data-selection times are high on a particular SQL statement, index the DataSource tables to increase the performance of selection (see no. 6 below). While using ST05, make sure that no other extraction job is running with ALEREMOTE user.
4)Balance loads by distributing processes onto different servers if possible. If your site uses more than one BW application server, distribute the extraction processes to different servers using transaction code SM59 Maintain RFC Destination. Load balancing is possible only if the extraction program allows the option
5)Set optimum parameters for data-packet size. Packet size affects the number of data requests to the database. Set the data-packet size to optimum values for an efficient data-extraction mechanism. To find the optimum value, start with a packet size in the range of 50,000 to 100,000 and gradually increase it. At some point, you will reach the threshold at which increasing packet size further does not provide any performance increase. To set the packet size, use transaction code SBIW BW IMG Menu on the source system. To set the data load parameters for flat-file uploads, use transaction code RSCUSTV6 in BW.
6)Build indexes on DataSource tables based on selection criteria. Indexing DataSource tables improves the extraction performance, because it reduces the read times of those tables.
7)Execute collection jobs in parallel. Like the Business Content extractors, generic extractors have a number of collection jobs to retrieve relevant data from DataSource tables. Scheduling these collection jobs to run in parallel reduces the total extraction time, and they can be scheduled via transaction code SM37 in the source system.
8). Break up your data selections for InfoPackages and schedule the portions to run in parallel. This parallel upload mechanism sends different portions of the data to BW at the same time, and as a result the total upload time is reduced. You can schedule InfoPackages in the Administrator Workbench.
You can upload data from a data target (InfoCube and ODS) to another data target within the BW system. While uploading, you can schedule more than one InfoPackage with different selection options in each one. For example, fiscal year or fiscal year period can be used as selection options. Avoid using parallel uploads for high volumes of data if hardware resources are constrained. Each InfoPacket uses one background process (if scheduled to run in the background) or dialog process (if scheduled to run online) of the application server, and too many processes could overwhelm a slow server.
9). Building secondary indexes on the tables for the selection fields optimizes these tables for reading, reducing extraction time. If your selection fields are not key fields on the table, primary indexes are not much of a help when accessing data. In this case it is better to create secondary indexes with selection fields on the associated table using ABAP Dictionary to improve better selection performance.
10)Analyze upload times to the PSA and identify long-running uploads. When you extract the data using PSA method, data is written into PSA tables in the BW system. If your data is on the order of tens of millions, consider partitioning these PSA tables for better performance, but pay attention to the partition sizes. Partitioning PSA tables improves data-load performance because it's faster to insert data into smaller database tables. Partitioning also provides increased performance for maintenance of PSA tables for example, you can delete a portion of data faster. You can set the size of each partition in the PSA parameters screen, in transaction code SPRO or RSCUSTV6, so that BW creates a new partition automatically when a threshold value is reached.
11)Debug any routines in the transfer and update rules and eliminate single selects from the routines. Using single selects in custom ABAP routines for selecting data from database tables reduces performance considerably. It is better to use buffers and array operations. When you use buffers or array operations, the system reads data from the database tables and stores it in the memory for manipulation, improving performance. If you do not use buffers or array operations, the whole reading process is performed on the database with many table accesses, and performance deteriorates. Also, extensive use of library transformations in the ABAP code reduces performance; since these transformations are not compiled in advance, they are carried out during run-time.
12)Before uploading a high volume of transaction data into InfoCubes, activate the number-range buffer for dimension IDs. The number-range buffer is a parameter that identifies the number of sequential dimension IDs stored in the memory. If you increase the number range before high-volume data upload, you reduce the number of reads from the dimension tables and hence increase the upload performance. Do not forget to set the number-range values back to their original values after the upload. Use transaction code SNRO to maintain the number range buffer values for InfoCubes.
13)Drop the indexes before uploading high-volume data into InfoCubes. Regenerate them after the upload. Indexes on InfoCubes are optimized for reading data from the InfoCubes. If the indexes exist during the upload, BW reads the indexes and tries to insert the records according to the indexes, resulting in poor upload performance. You can automate the dropping and regeneration of the indexes through InfoPackage scheduling. You can drop indexes in the Manage InfoCube screen in the Administrator Workbench.
14)IDoc (intermediate document) archiving improves the extraction and loading performance and can be applied on both BW and R/3 systems. In addition to IDoc archiving, data archiving is available for InfoCubes and ODS objects.
Hope it Helps
Chetan
@CP..

Cube Performance and Data Explosion

Hi Experts,
One of the parterns developed a data warehouse application. And the DW application has some performance issue:
when the report get the query of the high level dimensions, the performance is okey, and when the query get the very detail data in the cube, the performance gets bad.
The aggregations and the detail data are all stored in the cube, and the cube data gets Explosion quite quickly since some detailed transaction data need to be queried and stored in the cube too.
So, experts, do you have any good suggestion on this issue? or if the may be a better design for the cube? e.g. in DW, the cube only stores the aggregations or summary on coarse grained data and measure, for fine grained data , it can be got in ODS.
another question, I google the architecture solution for the above issue, and someone said that if the DW is designed in a hypercube, there maybe data explosion issue, but instead of desinging the hypercube, multicube should be used, so I wonder if multicube can solve the data explosion issue, and how to solve it. And if the multicube has better performance than the hypercube or can also solve detail data query.
Last question, do you have any experience on DW implementation on TB level Data, and any good suggestion for architecture design using Oracle OLAP or Essbase for good performance.
Thanks,
Royal.
Edited by: Royal on 2012-11-4 上午4:01

You have not asked any specific technical question. In my opinion all Oracle Datawarehouses should use Oracle OLAP option for the Aggregation strategy. Significant improvements in 11.2.0.2 (and later versions) have been made. It has become much easier now to create and maintain dimensions/cubes. On the reporting side, OBIEE 11g now understands OLAP metadata. Other reporting tools can use the CUBE_TABLE views.
Here are some links that you may find useful.
Comparing MVs and OLAP... Oracle White paper
http://www.oracle.com/technetwork/database/bi-datawarehousing/comparison-aw-mv-11g-twp-130903.pdf
Oracle OLAP Support page
https://support.oracle.com/CSP/main/article?cmd=show&type=NOT&id=1107593.1
Three demos done by OLAP Development which explains how OLAP can help in a DW.
http://download.oracle.com/otndocs/products/warehouse/olap/videos/intro_part_1/OLAP_Features_and_Use_Cases_1.html
http://download.oracle.com/otndocs/products/warehouse/olap/videos/intro_part_2/OLAP_Features_and_Use_Cases_2.html
http://download.oracle.com/otndocs/products/warehouse/olap/videos/intro_part_3/OLAP_Features_and_Use_Cases_3.html
Main OLAP page at Oracle OTN site
http://www.oracle.com/technetwork/database/options/olap/index.html
Recommended Releases for Oracle OLAP
http://www.oracle.com/technetwork/database/options/olap/olap-certification-092987.html
Accelerating Data Warehouses using OLAP option
http://www.oracle.com/technetwork/issue-archive/2008/08-may/o38olap-085800.html
What's new in 11.2.0.2 database OLAP option
http://docs.oracle.com/cd/E11882_01/olap.112/e17123/whatsnew.htm
Oracle 11.2 OLAP Documentation (scroll down to OLAP section)
http://www.oracle.com/pls/db112/portal.portal_db?selected=6&frame=#online_analytical_processing_%28olap%29
Excel reporting from OLAP using Simba tool. This was developed in partnership with Oracle.
http://www.simba.com/MDX-Provider-for-Oracle-OLAP.htm
There is a good demo for Simba Excel tool at:
http://www.simba.com/demos/MDX-Provider-for-Oracle-OLAP-web-demo.html

I performed a time machine backup without plugging my labtop into a power source. My computer died and all the settings were changed, ie the clock and date were changed back to 2001. So I tried to restore my computer using a previous time machine backup.

I performed a time machine backup without plugging my labtop into a power source. My computer died and all the settings were changed, ie the clock and date were changed back to 2001. So I tried to restore my computer using a previous time machine backup. (which I now know was wrong). However, when time machine tried to restore it said there was not enough room to do a backup. It seems that it did a half backup because some essential files such as system profiler are now missing. Can I undo this restore...? What can I do to fix this

You need to do a full system restore, per Time Machine - Frequently Asked Question #14.
If that sends a message, please note the exact wording.

DAQ vi to perform digital write and read measurements using 32 bits binary data saved in a file

Hi
DAQ vi to perform digital write and read measurements using 32 bits binary data saved in a file
Two main
sections:
1)
Perform
write and read operations to and fro different spread sheet files, such that
each file have a single row of 32bits different binary data (analogous to 1D
array) where the left most bit is the MSB. I don’t want to manually enter the
32 bits binary data, I want the data written or read just by opening a file
name saves with the intended data.
      2)
And
by using test patterns implemented using the digital pattern generator or build digital data functions or otherwise, I need to
ensure that the
            binary data written to a spreadsheet file or any supported file type
then through the NI-USB 6509 is same as the data read.
I’m aware I can’t use the simulated
device to read data written to any port but if the write part of the vi works I
‘m sure the read part will work on the physical device which I’ll buy later.
My Plan
of action
I’ve
created a basic write/read file task and a write/read DAQ task for NI USB 6509
and both combine in a while loop to form a progress VI which I’m confuse of how
to proceed with the implementation.
My
greatest problem is to link both together with the correct functions or operators
such that there are no syntax/execution errors and thus achieve my intended
result.
This
project is one of my many assignments for my master thesis, so please i’ll
appreciate every help as I’m not really efficient with LabVIEW programming but
I prefer it because is fun and interesting if I get to know it.
Currently I’m
practicing with LabVIEW 8.6/NI DAQmx 8.8 Demo versions and NI USB 6509
simulated device.
Please see
the attached file for my novice progress, thanks in
advance for the support
Rgds
Paul
Attachments:
DIO_write_read DAQ from file.vi ‏17 KB

What does your file look like? The DAQmx write is expecting a single U32 value, not an array of I64.
Message Edited by vt92 on 09-16-2009 02:42 PM
"There is a God shaped vacuum in the heart of every man which cannot be filled by any created thing, but only by God, the Creator, made known through Jesus." - Blaise Pascal

JSF 1.1 performance, especially UIData and Data Table

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