Performance tuning in BDB Replication

Hi,
I have set up Berkeleydb replication with 1 master and 5 slaves for session management in our web application with webservers behind load balancer. Somehow i get stale session data from same of the slaves. Our application cannot live with stale data. Currently our environment is configured with following settings:
cur_env.SetEventNotification(new Env.EventNotifyFcn(event_callback));
cur_env.RepMgrAckPolicy = (Env.RepAckPolicy.NONE;
//cur_env.SetVerbose(Env.DbVerb.Replication, true);
cur_env.RepPriority = _config.priority;
cur_env.RepMgrSetLocalSite(_config._listener.host, config.listener.port);
foreach (RepHostInfoObj hostentry in config.hosts)
cur_env.RepMgrAddRemoteSite(hostentry.host, hostentry.port, Env.RepSiteFlags.None);
* We can now open our environment, although we're not ready to
* begin replicating. However, we want to have a dbenv around
* so that we can send it into any of our message handlers.
cur_env.CacheSize = new CacheSize(0, 500, 0); // 500MB cache
cur_env.SetFlags(EnvFlags.TxnNoSync, TRUE);
SHARED_DATA data = new SHAREDDATA();
data.ismaster = 1;
cur_env.SetPrivateData(_data);
cur_env.Open(_config.home, Env.OpenFlags.Create | Env.OpenFlags.Recover |
Env.OpenFlags.ThreadSafe | Env.OpenFlags.InitRep | Env.OpenFlags.InitLock | Env.OpenFlags.InitLog |
Env.OpenFlags.InitMPool | Env.OpenFlags.InitTxn, 0);
cur_env.RepMgrStart(_3, config.startpolicy);
Please check if the above configuration is good.
My application needs good perfromance with no stale data.
Kindly help.
Thanks,
Karthik

Data appearing on replica sites naturally lags behind the master,
simply because it takes some time to transmit across a network, and
apply updates to the database.
Would you rather have read operations on the replica wait until they
"catch up" to some certain point in the sequence of transactions
generated by the master?
Your an ack policy of "NONE" allows the master to race ahead of the
clients without bound. If you were to use the "ALL" ack policy then
commit operations at the master would try to wait until all replica
sites had received the transaction, and you would get closer to having
all sites progress in sync. Of course that slows down the master
though.
Is this the kind of "stale" data you're talking about, or something
more long-term?
Alan Bram
Oracle

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Hello All,
In efforts to tune BDB JE's performance, I'd like to ask everyone what sort of things you have looked at and tried. The application looks like this: it has multi-threaded reads/writes with large number of small entries. One thread for writing and another for reading. Most the performance tuning is needed on writing to the database, preferably to support stable insertion/modification times. Each entry is no more than 4KB (keys and entries are constant size)
Some research indicates that changing page size to be equal to the size of the entry is helpful. I've looked at this: http://www.oracle.com/technology/documentation/berkeley-db/db/gsg/JAVA/dbconfig.html#pagesize
However, DatabaseConfig.setPageSize() is nowhere to be found. Am I missing something? Where can I access this setting?
I've also been having problems with database grinding to a near halt with large amounts of entries (under 1 mil) and total database file size of about 800MB. What are the general suggestions/practices for speeding things up? In this case performance is preferred over memory use.
Thank you,
Mike.

Hi Mike,
Some research indicates that changing page size to be
equal to the size of the entry is helpful. I've
looked at this:
http://www.oracle.com/technology/documentation/berkele
y-db/db/gsg/JAVA/dbconfig.html#pagesize
However, DatabaseConfig.setPageSize() is nowhere to
be found. Am I missing something? Where can I access
this setting?You're looking at the docs for the wrong product -- that's the C product. The JE docs are here:
http://www.oracle.com/technology/documentation/berkeley-db/je
(Note the je suffix as opposed to the db suffix, which is the C product.)
I've also been having problems with database grinding
to a near halt with large amounts of entries (under 1
mil) and total database file size of about 800MB.
What are the general suggestions/practices for
speeding things up? In this case performance is
preferred over memory use.Have you tried increasing the JE cache size (EnvironmentConfig.setCacheSize)? In general, databases perform better with more memory. But to do performance tuning the first step is to normally print out the EnvironmentStats periodically and correlate changes in the stats with the performance you're seeing. Please see the performance section of the JE FAQ:
http://www.oracle.com/technology/products/berkeley-db/faq/je_faq.html
--mark

Poor performance of the BDB cache

I'm experiencing incredibly poor performance of the BDB cache and wanted to share my experience, in case anybody has any suggestions.
Overview
Stone Steps maintains a fork of a web log analysis tool - the Webalizer (http://www.stonesteps.ca/projects/webalizer/). One of the problems with the Webalizer is that it maintains all data (i.e. URLs, search strings, IP addresses, etc) in memory, which puts a cap on the maximum size of the data set that can be analyzed. Naturally, BDB was picked as the fastest database to maintain analyzed data on disk set and produce reports by querying the database. Unfortunately, once the database grows beyond the cache size, overall performance goes down the drain.
Note that the version of SSW available for download does not support BDB in the way described below. I can make the source available for you, however, if you find your own large log files to analyze.
The Database
Stone Steps Webalizer (SSW) is a command-line utility and needs to preserve all intermediate data for the month on disk. The original approach was to use a plain-text file (webalizer.current, for those who know anything about SSW). The BDB database that replaced this plain text file consists of the following databases:
sequences (maintains record IDs for all other tables)
urls -primary database containing URL data - record ID (key), URL itself, grouped data, such as number of hits, transfer size, etc)
urls.values - secondary database that contains a hash of the URL (key) and the record ID linking it to the primary database; this database is used for value lookups)
urls.hits - secondary database that contains the number of hits for each URL (key) and the record ID to link it to the primary database; this database is used to order URLs in the report by the number of hits.
The remaining databases are here just to indicate the database structure. They are the same in nature as the two described above. The legend is as follows: (s) will indicate a secondary database, (p) - primary database, (sf) - filtered secondary database (using DB_DONOTINDEX).
urls.xfer (s), urls.entry (s), urls.exit (s), urls.groups.hits (sf), urls.groups.xfer (sf)
hosts (p), hosts.values (s), hosts.hits (s), hosts.xfer (s), hosts.groups.hits (sf), hosts.groups.xfer (sf)
downloads (p), downloads.values (s), downloads.xfer (s)
agents (p), agents.values (s), agents.values (s), agents.hits (s), agents.visits (s), agents.groups.visits (sf)
referrers (p), referrers.values (s), referrers.values (s), referrers.hits (s), referrers.groups.hits (sf)
search (p), search.values (s), search.hits (s)
users (p), users.values (s), users.hits (s), users.groups.hits (sf)
errors (p), errors.values (s), errors.hits (s)
dhosts (p), dhosts.values (s)
statuscodes (HTTP status codes)
totals.daily (31 days)
totals.hourly (24 hours)
totals (one record)
countries (a couple of hundred countries)
system (one record)
visits.active (active visits - variable length)
downloads.active (active downloads - variable length)
All these databases (49 of them) are maintained in a single file. Maintaining a single database file is a requirement, so that the entire database for the month can be renamed, backed up and used to produce reports on demand.
Database Size
One of the sample Squid logs I received from a user contains 4.4M records and is about 800MB in size. The resulting database is 625MB in size. Note that there is no duplication of text data - only nodes and such values as hits and transfer sizes are duplicated. Each record also contains some small overhead (record version for upgrades, etc).
Here are the sizes of the URL databases (other URL secondary databases are similar to urls.hits described below):
urls (p):
8192 Underlying database page size
2031 Overflow key/data size
1471636 Number of unique keys in the tree
1471636 Number of data items in the tree
193 Number of tree internal pages
577738 Number of bytes free in tree internal pages (63% ff)
55312 Number of tree leaf pages
145M Number of bytes free in tree leaf pages (67% ff)
2620 Number of tree overflow pages
16M Number of bytes free in tree overflow pages (25% ff)
urls.hits (s)
8192 Underlying database page size
2031 Overflow key/data size
2 Number of levels in the tree
823 Number of unique keys in the tree
1471636 Number of data items in the tree
31 Number of tree internal pages
201970 Number of bytes free in tree internal pages (20% ff)
45 Number of tree leaf pages
243550 Number of bytes free in tree leaf pages (33% ff)
2814 Number of tree duplicate pages
8360024 Number of bytes free in tree duplicate pages (63% ff)
0 Number of tree overflow pages
The Testbed
I'm running all these tests using the latest BDB (v4.6) built from the source on Win2K3 server (release version). The test machine is 1.7GHz P4 with 1GB of RAM and an IDE hard drive. Not the fastest machine, but it was able to handle a log file like described before at a speed of 20K records/sec.
BDB is configured in a single file in a BDB environment, using private memory, since only one process ever has access to the database).
I ran a performance monitor while running SSW, capturing private bytes, disk read/write I/O, system cache size, etc.
I also used a code profiler to analyze SSW and BDB performance.
The Problem
Small log files, such as 100MB, can be processed in no time - BDB handles them really well. However, once the entire BDB cache is filled up, the machine goes into some weird state and can sit in this state for hours and hours before completing the analysis.
Another problem is that traversing large primary or secondary databases is a really slow and painful process. It is really not that much data!
Overall, the 20K rec/sec quoted above drop down to 2K rec/sec. And that's all after most of the analysis has been done, just trying to save the database.
The Tests
SSW runs in two modes, memory mode and database mode. In memory mode, all data is kept in memory in SSW's own hash tables and then saved to BDB at the end of each run.
In memory mode, the entire BDB is dumped to disk at the end of the run. First, it runs fairly fast, until the BDB cache is filled up. Then writing (disk I/O) goes at a snail pace, at about 3.5MB/sec, even though this disk can write at about 12-15MB/sec.
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Some of the other things I tried/observed:
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* I disabled threading support, which gave me some performance boost during regular value lookups throughout the test run, but it didn't help either.
* I experimented with page size, ranging them from the default 8K to 64K. Using large pages helped a bit, but as soon as the BDB cached filled up, the story repeated.
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* I tried libHoard - it usually provides better performance, even in a single-threaded process, but libHoard didn't help much in this case.

I have been able to improve processing speed up to
6-8 times with these two techniques:
1. A separate trickle thread was created that would
periodically call DbEnv::memp_trickle. This works
especially good on multicore machines, but also
speeds things up a bit on single CPU boxes. This
alone improved speed from 2K rec/sec to about 4K
rec/sec.Hello Stone,
I am facing a similar problem, and I too hope to resolve the same with memp_trickle. I had these queries.
1. what was the % of clean pages that you specified?
2. What duration were you clling this thread to call memp_trickle?
This would give me a rough idea about which to tune my app. Would really appreciate if you can answer these queries.
Regards,
Nishith.
>
2. Maintaining multiple secondary databases in real
time proved to be the bottleneck. The code was
changed to create secondary databases at the end of
the run (calling Db::associate with the DB_CREATE
flag), right before the reports are generated, which
use these secondary databases. This improved speed
from 4K rec/sec to 14K rec/sec.

Report running for long time & performance tuning

Hi All,
(1). WebI report is running for long time.so what are the steps i need to check for it ?
(2). Can you tell me about performance tuning in BO ?
please help me.....
Thanks
Kumar

(1). WebI report is running for long time.so what are the steps i need to check for it ?
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Hello Experts,
Is it the right forum to follow oracle performance tuning discussions ? If not, let me know what will be the forum to pick up some thread on this subject.
I am looking for performance tuning approach for oracle 11g. I learned there are some new items in 11g in this regard. For persons, who did tuning in earlier versions of Oracle,
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I reviewed the 11g performance tuning guide, but I am looking for some white papers/blogs with case studies and practical approaches. I hope that you have used them.
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Do you mind, share your thoughts?
Thanks in advance.
RI

The best sources of information on performance tuning are:
1. Jonathan Lewis: http://jonathanlewis.wordpress.com/all-postings/
2. Christian Antognini: http://www.antognini.ch/
3. Tanel Poder: http://blog.tanelpoder.com/
4. Richard Foote: http://richardfoote.wordpress.com/
5. Cary Millsap: http://carymillsap.blogspot.com/
and a few dozen others whose blogs you will find cross-referenced in those above.

Performance tuning of BPEL processes in SOA Suite 11g

Hi,
We are working with a customer for performance tuning of SOA Suite 11g, one of the areas is to tune the BPEL processes. I am new to this and started out with stress testing Hello World process using SOAPUI tool. I would like help with the below topics -
1. How do I interpret the statistics collected during stress testing? Do we have any benchmark set that can indicate that the performance is ok.
2. Do we need to run stress tests for every BPEL process deployed?
2. Is there any performance tuning strategy documentation available? Or can anybody share his/her experiences to guide me?
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1. How do I interpret the statistics collected during stress testing? Do we have any benchmark set that can indicate that the performance is ok.
You need
pay attention to:
java heap usage vs java heap capacity
java eden usage vs java eden capacity
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if you are using linux: top
if you are using aix: topas
2. Do we need to run stress tests for every BPEL process deployed?
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Download Jmeter from here: Apache JMeter - Apache JMeter&trade;
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jstat
jstack
jps -v
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WebLogic Console
VisualVM
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i am new to performance tuning application. can any one share some stuff(bw3.5& bi7)related to the concern area.send any relavent docs to my id: [email protected] .
thanks in advance
regards
gavaskar
[email protected]

hi Gavaskar,
check this, you can download lot of performance materials
Business Intelligence Performance Tuning [original link is broken]
and e-learning -> intermediate course and advance course
https://www.sdn.sap.com/irj/sdn/developerareas/bi?rid=/webcontent/uuid/fe5b0b5e-0501-0010-cd88-c871915ec3bf [original link is broken]
e.g
https://www.sdn.sap.com/irj/servlet/prt/portal/prtroot/docs/media/uuid/10b589ad-0701-0010-0299-e5c282b7aaad
https://www.sdn.sap.com/irj/servlet/prt/portal/prtroot/docs/media/uuid/d9fd84ad-0701-0010-d9a5-ba726caa585d
https://www.sdn.sap.com/irj/servlet/prt/portal/prtroot/docs/media/uuid/8e6183ad-0701-0010-e083-9ab1c6afe6f2
performance tools in bw 3.5
https://www.sdn.sap.com/irj/servlet/prt/portal/prtroot/docs/media/uuid/07a4f070-0701-0010-3b91-a6bf7644c98f
(here also you can download the presentation by righ click the disk drive icon)
hope this helps.

[ADF-11.1.2] Proof of view performance tuning in oracle adf

Hello,
Take an example of : http://www.gebs.ro/blog/oracle/adf-view-object-performance-tuning-analysis/
It tells me perfectly how to tune VO to achieve performance, but how to see it working ?
For example: I Set Fetch size of 25, 'in Batch of' set to 1 or 26 I see following SQL Statement in Log
[1028] SELECT Company.COMPANY_ID, Company.CREATED_DATE, Company.CREATED_BY, Company.LAST_MODIFY_DATE, Company.LAST_MODIFY_BY, Company.NAME FROM COMPANY Companyas if it is fetching all the records from table at a time no matter what's the size of Batch. If I am seeing 50 records on UI at a time, then I would expect at least 2 SELECT statement fetching 26 records by each statement if I set Batch Size to 26... OR at least 50 SELECT statement for Batch size set to '1'.
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Anandsagar,
why don't you just read up on http://download.oracle.com/docs/cd/E21764_01/core.1111/e10108/adf.htm#CIHHGADG
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Can I enhance the PL/SQL code for better performance ? Probably you can enhance it.
or, is this OK to take so long to process these many rows? It should take a few minutes, not several hours.
But please provide some more details like your database version etc.
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SQL> alter session set events '10046 trace name context forever, level 12';
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http://www.oracle-base.com/articles/10g/SQLTrace10046TrcsessAndTkprof10g.php
Also this informative thread can give you more ideas:
HOW TO: Post a SQL statement tuning request - template posting
as well as doing a search on 10046 at AskTom, http://asktom.oracle.com will give you more examples.
and reading Oracle's Performance Tuning Guide: http://www.oracle.com/pls/db102/to_toc?pathname=server.102%2Fb14211%2Ftoc.htm&remark=portal+%28Getting+Started%29

Performance tuning in t

hi,
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Performance tuning for Data Selection Statement
<b>http://www.sap-img.com/abap/performance-tuning-for-data-selection-statement.htm</b>Debugger
http://help.sap.com/saphelp_47x200/helpdata/en/c6/617ca9e68c11d2b2ab080009b43351/content.htm
http://www.cba.nau.edu/haney-j/CIS497/Assignments/Debugging.doc
http://help.sap.com/saphelp_erp2005/helpdata/en/b3/d322540c3beb4ba53795784eebb680/frameset.htm
Run Time Analyser
http://help.sap.com/saphelp_47x200/helpdata/en/c6/617cafe68c11d2b2ab080009b43351/content.htm
SQL trace
http://help.sap.com/saphelp_47x200/helpdata/en/d1/801f7c454211d189710000e8322d00/content.htm
CATT - Computer Aided Testing Too
http://help.sap.com/saphelp_47x200/helpdata/en/b3/410b37233f7c6fe10000009b38f936/frameset.htm
Test Workbench
http://help.sap.com/saphelp_47x200/helpdata/en/a8/157235d0fa8742e10000009b38f889/frameset.htm
Coverage Analyser
http://help.sap.com/saphelp_47x200/helpdata/en/c7/af9a79061a11d4b3d4080009b43351/content.htm
Runtime Monitor
http://help.sap.com/saphelp_47x200/helpdata/en/b5/fa121cc15911d5993d00508b6b8b11/content.htm
Memory Inspector
http://help.sap.com/saphelp_47x200/helpdata/en/a2/e5fc84cc87964cb2c29f584152d74e/content.htm
ECATT - Extended Computer Aided testing tool.
http://help.sap.com/saphelp_47x200/helpdata/en/20/e81c3b84e65e7be10000000a11402f/frameset.htm
Just refer to these links...
performance
Performance
Performance Guide
performance issues...
Performance Tuning
Performance issues
performance tuning
performance tuning
You can go to the transaction SE30 to have the runtime analysis of your program.Also try the transaction SCI , which is SAP Code Inspector.

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My CRM server working very slow. Idont know the exact reason. My server configuration IBM Xeon processor 3 Ghz 3GB RAM.There are about 25 users. Is this problem with SAP or Hardware.If any one have performance tuning document plz post it.
Thanks,
Murali

Chech the following:-
Processor usage
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background jobs
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what kind of job they do
Any Network Problem
Increse Work Processor
increase Virtual Ram
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I am looking for "SAP Note 857530 "
Integration process performance(in sap XI).
or how can I view the performance of the integration process ? or exactly how performance tuning is done.
pls help,
Best regards,
verma.

Hi,
SAP Note:
Symptom
Performance bottlenecks when executing integration processes.
Other terms
ccBPM
BPE
Performance
Integration Processes
Solution
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This note will be continually updated as improvements are made.
Also read the document "Checklist: Making Correct Use of Integration Processes" in the SAP Library documentation, on SAP Service Marketplace, and in SDN; it contains information about performance issues to bear in mind when you model integration processes.
Refer to the appended notes and maintain the default code changes by using SNOTE, or by importing the relevant service packs. Note that some performance improvements cannot be implemented by using SNOTE and are instead only available in service packs.
Regards
vijaya

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Any docs to describe how to improve the performance tuning of the ADF (across the layer) application.
JDev 11.1.1.4g
thnks

http://download.oracle.com/docs/cd/E16764_01/core.1111/e10108/toc.htm

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i hope all are well,Have a nice day Today
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recently , i joined the new project that project improve the efficiency of the applicaton. in this environment oracle plsql langauage are used , so if i need to improve effiency of application what are the step are taken
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https://forums.oracle.com/forums/thread.jspa?threadID=2174552#9360003

Performance tuning in EP6 SP14

Hi,
We just migrated our development EP5 SP6 portal to NW04 EP6 SP14 and are seeing some performance problems with a limited number of users (about 3).
Please point me to some good clear documentation related to performance tuning. Better yet, please tell me some things you have done in your EP6 portal to improve performance.
Any help is greatly appreciated.
Regards,
Rick

Hi
In general we have experienced that NW04 is faster than earlier versions.
One of the big questions is if the response time is SERVER time (used for processing on the J2EE server), NETWORK time (latency and many roundtrips), CLIENT time (rendering, virus-scanning etc) or a combination.
1) Is the capacity on the server ok? CPU utilization and queue lenght high? Memory swapping?
2) A quick optimazation server-side is logging: Plese verify that that log and trace levels are ERROR /FATAL or NONE on J2EE and also avoid logging on IIS and IIS proxy is used
3) Using a HTTP trace you can see if the NW portal for some reason generetes more roundtrips (more GETS) that the old portal for the same content - what is the network latency? Try to do a "ping <server>" from a client pc and see the time (latency) - if it is below 20 ms the network should do a big difference.
4) On the client try to call the portal with anti-virus de-activated if the delta/difference in response times are HUGE your client could be to old? (don't underestimate the client). Maybee the compression should be set different to avoid compres (server) and uncompres (client) - this is a tradeoff with network latency however.
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BR
Tom Bo

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