1 Copyright © 2011, Oracle and/or its affiliates. All ... · PDF fileADF BC Service...

ADF - Real World Performance Tuning


Duncan Mills – Architect, ADF Product Development

V1.0 / Oct 2011

Program Agenda

• Before we beginPl tf t i• Platform tuning

• ADF BC Service tuning• UI / Controller Tuning


“We should forget about small efficiencies, say about 97% f th ti t ti i ti i th t f ll97% of the time: premature optimization is the root of all evil.”

Structured Programming with go to StatementsComputing Surveys, Vol 6, No 4, 1974; Donald Knuth


Preparing Your Baseline

• Performance needs to be measured objectively and realisticallyrealistically

• A bad testing regime can skew results vastlyNot unusual for results to be out by a factor of 10x ++– Not unusual for results to be out by a factor of 10x ++

– So get your testing right!– Paper: Techniques for Testing Performance/Scalability and Stress

Testing ADF Applications • http://otn.oracle.com/developer-tools/adf/learnmore/adfloadstresstesting-354067.pdf


Preparing Your Baseline

• Establish your goals– Concentrate on the user experiencep– Think “average” rather than min/max

• Define a representative workload• Test continuously

– It’s simpler to identify the cause of a performance problem at the ti it i i t d dtime it is introduced

– Test for both atomic performance and performance under stress• How confident are you that the performance after a restart and


How confident are you that the performance after a restart and performance after 5 days running will be the same?

Example Goal“The application must accommodate for long periods of pp g ptime 300 simultaneously active users with response timeaverage not to exceed 2 seconds. The application must

d k l d f 600 i f haccommodate a peak load of 600 active users for shortdurations of time with response time average not to exceed 7 seconds”exceed 7 seconds

From: Techniques for Testing Performance/Scalability and Stress Testing ADF ApplicationsMarch 2011


Testing Should…

• Recognize that real users are not computers– Define think time (can be used to scale tests)( )– Use a sensible iteration time

• Define a representative workload– Length / nature of task– Data distribution / records contention

Numbers of users (aim high not low)– Numbers of users (aim high not low)

• Be based on production parameters E g Session timeout


– E.g. Session timeout

A Handy Tool For DevelopersADF Logger• Where does a request

spend all of it’s time?

ADF Logger

spend all of it s time? • The ADF Logger can help

tinyurl com/adf-loggingtinyurl.com/adf-logging


Key Documentation

Fusion Middleware Performance and Tuning GuideS ti 8 O l ADF P fSection 8 – Oracle ADF Performance

Tuning


Program Agenda




Platform Tuning

Java EEServer

JVM Web Server


OID

Platform Tuning Java EE server O/S• Your mileage will vary based on machine size and

application size

Java EE server O/S

application size.• Key Factors

HugePages– HugePages• WLS installation guide is not as picky as the Oracle DB install • The default page size can need a lot of housekeeping

– File Descriptors• Somewhat dependent on nature of the app• If you run out you may be doing something else wrong (see later)


If you run out you may be doing something else wrong (see later)

Platform TuningOID / LDAP• Dependent on your user population

Tune the WebLogic Authentication Provider (WLS

OID / LDAP

• Tune the WebLogic Authentication Provider (WLS console)

• For example:• For example:– MaxGroupHierachiesInCache > no. groups in directory– CacheSize = 15360 (for 10,000 user population)( , p p )– CacheTTL = 600 (seconds)– ConnectionPoolSize = number of concurrent users on the system


• Article: http://fusionsecurity.blogspot.com/2011/08/tuning-weblogic-ldap-authentication.html

Platform TuningJVM Tuning (JRockit)• Run in server mode: -server

E bl H P

JVM Tuning (JRockit)

• Enable HugePages:-XlargePages:exitOnFailure=true

G b ll ti• Garbage collection– Generational parallel gc strategy is recommended to maximize

throughput: -Xgc:genparg p g g p

• Heap size (for managed servers!)– Set (–Xms –Xmx) as large as possible within available physical


memory

Platform TuningOther Considerations• Logging

Switch to SEVERE at the WLS / EM level

Other Considerations

– Switch to SEVERE at the WLS / EM level

• Admin server – start with a lower heap size (e.g. 512m)HTTP Server• HTTP Server– Enough processes and threads to support concurrent client

population p p


Program Agenda




ADF BC Service TuningFocus Areas• General design principles

Vi Obj t t i

Focus Areas

• View Object tuning • Application Module pooling


ADF BC TuningGeneral Design Principles• Take advantage of shared AMs

– Monitor hit rates in EM to further tune

General Design Principles

– Monitor hit rates in EM to further tune

• Use read-only VOs where update not needed– But still use EO based rather than SQL basedBut still use EO based rather than SQL based– Consider programmatic / static VOs when suitable– Avoid VOs created at runtime if you can

• Set locking mode to optimistic (now default in 11.1.2)– Saves additional rollbacks, reduces unnecessary lock statements


• Use Oracle SQL rather than SQL92 (if you can)

ADF BC Service TuningView Object Tuning• VOs define the queries so this is a key area

Th f i t t it th SQL ll (E t

View Object Tuning

• The preference is to not write the SQL manually (Expert Mode). You can loose out on optimizations M k b t t• Many knobs to turn– The defaults are probably not what you need– Consider the use case for each VO & build additional VOs ifConsider the use case for each VO & build additional VOs if

necessary– Rangesize / Batch Size are key


ADF BC Service TuningView Object TuningView Object Tuning


ADF BC Service TuningApplication Module PoolingApplication Module Pooling

• Stop and read the documentation!documentation!

• Excellent coverage in Fusion Developers GuideFusion Developers Guide – Chapter 44 in 11.1.2 version“Tuning Application Module

Pools and Connection Pools”


ADF BC Service TuningApplication Module Pooling• Use pooling of course (jbo.doconnectionpooling)

Configuration based on user population

Application Module Pooling

– Configuration based on user population• initpoolsize – take the hit at server startup• Maxavailablesize – to your projected average peak

• Aim to avoid passivation / activation costs– Set recyclethreshold to maxavailablesize– Bump up maxinactiveage– Set timetolive = -1

– Could save to up to 30% on response time


– Could save to up to 30% on response time

Program Agenda




Before We Begin – What You get for Free Today• Smart streaming content – tables and menus

O ti i d PPR

Today

• Optimized screen PPR• Optimized roundtrips• Client side caching (auto-suggest)• JS Partitioning


What You (will) get for Free In the Future (Maybe)• Reduced page / script download size

Even smarter optimization and compression

In the Future… (Maybe)

– Even smarter optimization and compression

• More client side caching – As browsers become more capable– As browsers become more capable

• More optimal implementations – For example HTML5 replacing Flash for chartsFor example HTML5 replacing Flash for charts

• “Lighter” options where you don’t need the “full fat” component – e.g, Tables


p g,

Pre-Deployment TasksThe switches you need to flip• Switch off “development mode” web.xml parameters

Well documented in Tables 8 1 / 8 2 in the Oracle Fusion

The switches you need to flip

– Well documented in Tables 8-1 / 8-2 in the Oracle Fusion Middleware Performance and Tuning Guidee.g. set

l df i i horacle.adf.view.rich.CHECK_FILE_MODIFICATIONto false

– In most cases these options are OFF by default so you’ll only p y y yneed to override those you have used


ADF Faces OptionsThings you didn’t know you were remembering• View State cache – how much page state history do we

remember (for the back button)

Things you didn t know you were remembering…

remember (for the back button)– In web.xml:<contextparam><contextparam><contextparam>

<paramname>org.apache.myfaces.trinidad.CLIENT_STATE_MAX_TOKENS

</paramname><paramvalue>2</paramvalue>

<contextparam><paramname>

org.apache.myfaces.trinidad.CLIENT_STATE_MAX_TOKENS</paramname><paramvalue>2</paramvalue>

– Default value is 16 (15 old versions retained)

paramvalue 2 /paramvalue</contextparam>

paramvalue 2 /paramvalue</contextparam>


Default value is 16 (15 old versions retained)

ADF Faces OptionsAnd Squeeze• Compress the View State cache

Trades memory for CPU

And Squeeze…

– Trades memory for CPU



org.apache.myfaces.trinidad.COMPRESS_VIEW_STATE</paramname><paramvalue>true</paramvalue>

</contextparam>

org.apache.myfaces.trinidad.COMPRESS_VIEW_STATE</paramname><paramvalue>true</paramvalue>

</contextparam>

– Example customer application:• Live memory reduced by 13% at a cost of 4.5% increase in CPU


Live memory reduced by 13% at a cost of 4.5% increase in CPU

ADF Faces OptionsEnable Resource CachingEnable Resource Caching


ADF Faces OptionsEnable Resource Caching• Use WebCache, ADF auto-configures it for you

C fi JS d I t th l t

Enable Resource Caching

• Configure JS and Images to use the resource servlet– Sets cache header & reduces server file handle usage– e g In web xml:– e.g. In web.xml:<servletmapping><servletname>resources</servletname><urlpattern>/images/*</urlpattern>

<servletmapping><servletname>resources</servletname><urlpattern>/images/*</urlpattern>

</servletmapping><servletmapping><servletname>resources</servletname><urlpattern>/js/*</urlpattern>

</servletmapping><servletmapping><servletname>resources</servletname><urlpattern>/js/*</urlpattern>


</servletmapping></servletmapping>

ADF Faces OptionsOptimize JSP ServletOptimize JSP Servlet

• Again in web.xml<initparam><paramname>load_description_from_tlds</paramname><paramvalue>false</paramvalue>

<initparam><paramname>load_description_from_tlds</paramname><paramvalue>false</paramvalue>

</initparam><initparam><paramname>jsp_timeout</paramname><paramvalue>600</paramvalue>

</initparam><initparam><paramname>jsp_timeout</paramname><paramvalue>600</paramvalue>

</initparam><initparam><paramname>debug_mode</paramname><paramvalue>false</paramvalue>

</initparam><initparam><paramname>debug_mode</paramname><paramvalue>false</paramvalue>


</initparam></initparam>

Controller Specific Configuration

• Be aware of the implications of (not) sharing data controlscontrols

• Regions: convenience / reuse vs. costEach taskflow has an overhead– Each taskflow has an overhead

• Enable HA and CustomizationsCustomizationsonly if needed in adf-config.xml


UI Code ChangesYou Certainly Should Make• Don’t hold on to component references in pageflow /

session scope

You Certainly Should Make…

session scope– Breaks high availability and hogs memory– One customer application – accounted for 18% of memory usagepp y g

• Defer loading for popups and regions in popups where possible– childCreation=“deferred” for popups– Activation=“conditional” for regions – switch on popupFetch event

(defined in pageDef)


(defined in pageDef)

Possible UI Code ChangesIf You Really need To• Reduce component ID lengths

And avoid <f:subview>

If You Really need To…

– And avoid <f:subview>

• Combine custom images into image strips – Apply the images via styles in the skin or attached CSS– Apply the images via styles in the skin or attached CSS– Smaller files (overall), fewer downloads, fewer server file handles– Potentially significant savings: e.g. 24% reduction in cold load

• Serve content from multiple servers – May be beneficial on some browsers


Final Thoughts

• The tuning described here can have a dramatic effect– Do it first– Do it first

• Don’t try and outsmart the framework on performance– Some of the worst (and hardest to track) performanceSome of the worst (and hardest to track) performance

problems we’ve seen come from customer “overrides”– But by all means let us know if you see something good to do

• Accept that sometimes there is a tradeoff – Hand coded may be more optimal but is it worth the cost?

P f t ti i kill t th i i36 Copyright © 2011, Oracle and/or its affiliates. All rights

reserved.

• Performance testing is a skill-set worth acquiring

“If you optimize everything you will always be unhappy ”If you optimize everything you will always be unhappy.Donald Knuth


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