eppm upgrade

Architecture, Performance And Scalability Considerations For A P6 EPPM Upgrade

Matt Leeson

Principal Technical Engineer

The following is intended to outline our general product direction. It is intended

for information purposes only, and may not be incorporated into any contract.

It is not a commitment to deliver any material, code, or functionality, and should

not be relied upon in making purchasing decisions. The development, release,

and timing of any features or functionality described for Oracle’s products

remains at the sole discretion of Oracle.

Program Agenda

Architecture of The P6 EPPM Suite

Performance and Scalability Considerations

Lessons Learned From P6 EPPM Implementations

Architecture Of The P6 EPPM Suite

Considerations When Upgrading From P6 EPPM v7.0 or earlier

– P6 Web Changes

Interface to use for administrative tasks and Global Dictionaries

– Job Services Changes

Re-architected to be platform independent, robust, reliable, and highly scalable

Can run following on-demand services as scheduled services in P6: Summarize

Project, Schedule Project, Level Project Resources, Apply Actuals

Have to use the Windows command line interface to run batch reports and

export projects as a service

– Reporting Changes

P6 now has additional tables (P6 EPPM Extended Schema) that support

reporting directly from the P6 database.

Allows for near real-time reporting, improved storage, BI Publisher 11g support,

SQL server support, and improved security.

– Workflow Changes

Support for Oracle BPM 10g or 11g for workflows and reviews.

– Content Repository Changes

Support Oracle Universal Content Management or Microsoft SharePoint for your

content repository.

JackRabbit Content Repository Migration to Oracle Universal Content

Management (OUCM) (Doc ID 1283730.1)

– Methodology Management and Project Architect Changes

Methodology Management and Project Architect have been removed and

replaced with Project Templates in P6

– P6 Team Member Mobile and Email Statusing Service

New methods for Team Members to update their status

– P6 Team Member for iPhone

– P6 Team Member Web

– E-mail Statusing Service

Small Deployments, non-clustered

Medium Deployment, clustered

Large Deployment, clustered

Performance & Scalability Considerations

Performance and Scalability Considerations

Two Categories:

– Vertical Scaling (scaling up)

– Horizontal Scaling (scaling out)

Can decide which to use based on:

– Desired level of performance

– Availability requirements

– Short term versus long term outlook of system usage

– Seasonality and frequently used application areas

Vertical Scaling

Vertical Scaling (Scaling up)

– Adding additional resources, or upgrading resources on an existing system.

– Good approach if the application bottlenecks are processor and memory-related.

– Usually includes increase in JVM Heap, Hardware, Operating System

JVM Heap

– The application objects (such as Projects, Activities, Assignments, etc.) are stored in

the Java Virtual Machine (JVM) heap allocation.

– Most of these objects are short-lived, and are periodically cleaned up by the JVM’s

garbage collection mechanism.

– As the number of concurrent users increases, performance and scalability is

affected by the available heap space in the JVM.

Vertical Scaling

Hardware Upgrades

– Upgrading the CPU

– Adding extra cores

– Upgrading to faster I/O devices

– Upgrading from 32-bit to 64-bit hardware

Operating System Upgrades

– Upgrading to latest versions of the operating system

– Installing the latest patch updates,

– Upgrading from a 32-bit to a 64-bit architecture

Horizontal Scaling

Horizontal Scaling (scaling out)

– Adding additional nodes to an existing application server or database cluster to

handle the increased system load.

– For high availability requirements, horizontal scaling is the better option.

Adding Application Server Nodes

– Should be considered to manage seasonality.

– Provides scalability without interruption of service.

– Provides high-availability so application processing can continue when a server

instance fails.

Horizontal Scaling

Database Scaling and Clustering

– Provides scalability to enhance the total database engine computing power

– Provides predictable performance as the number of users or the size of the

database increases.

– Provides high-availability so application processing can continue when one of the

nodes fail.

Database Performance Tuning Tips

Oracle Database

– Memory Tuning:

Properly size your database buffers

– Disk I/O Tuning:

Properly place and size database files to provide maximum disk subsystem throughput.

– Eliminate Database Contention:

Study database locks, latches and wait events carefully and eliminate where possible.

– Tune the Operating System:

Monitor and tune operating system CPU, I/O and memory utilization.

SQL Server Database

– Memory Tuning

Automatically maintained

– Snapshot Isolation

Used to avoid reader-writer blocking scenarios

– Index Tuning

Used to avoid fragmentation which leads to degraded query performance

– Statistics

Used to avoid the database query optimizer from choosing an efficient execution plan

Best Practices For Performance Tuning Of The P6 EPPM Database (Doc ID 1327603.1)

Oracle & SQL Server Database

– Database Design & Application Tuning:

80% of all system performance problems are resolved through coding optimal SQL through

the application and better database design.

Also consider proper scheduling of batch tasks after peak working hours.

Database Performance Monitoring Tools

Database

– Oracle Performance Monitoring

ADDM (Automated Database Diagnostics Monitor)

SQL Trace and TKProf

Statspack or AWR (Automatic Workload Repository) Report

Oracle Enterprise Manager - Tuning Pack (cost option)

– SQL Server Performance Monitoring Tools

SQL Server Profiler

System Monitor

Activity Monitor

Database Engine Tuning Advisor

Database Performance Monitoring Tools

Database

– Database Tracing:

Recommendations For Obtaining An Oracle Database Session Trace For Performance

Troubleshooting Of The Project Management Client Application (Doc ID 891566.1)

How To Obtain Database Trace Information From MS SQL Server Using SQL Profiler (Doc

ID 913465.1)

Primavera SQL Monitor For P6 Project Management (Doc ID 910590.1)

How To Trace SQL And Java From The P6 Web Access Server (Doc ID 894429.1)

App Server Performance Tuning Tips

Application Server

– JRockit versus Sun JDK

No significant performances differences between the JVM’s

– Memory and CPU Tuning:

Set initial/minimal heap size & maximum heap size appropriately

Oracle recommends setting the minimum heap size (-Xms) equal to the maximum heap size

(-Xmx) to minimize garbage collections.

Target CPU utilization at 70-80% before horizontal or vertical scaling

– Configure a separate JVM for P6 Services:

How To Configure a Separate Server Or Java Process for P6 Services (Job Services) in P6

EPPM r8.1 And Later Releases (Doc ID 1357440.1)

App Server Performance Monitoring Tools

Application Server

– Performance Monitoring

– Java VisualVM: http://docs.oracle.com/javase/6/docs/technotes/guides/visualvm/index.html

– Jconsole: http://docs.oracle.com/javase/6/docs/technotes/guides/management/jconsole.html

– JRockit Management Console:

http://www.oracle.com/technetwork/middleware/jrockit/overview/index-090630.html

App Server Performance Monitoring Tools

Lessons Learned From P6 EPPM Implementations

Deployment Considerations

P6 Application Server

– P6 Services

Includes: Summarizer, Scheduler, Leveler, Apply Actuals, Publications

– P6 Services (cont.)

Number of concurrent jobs greatly affects the CPU, memory requirements of the application

server, and load on the database servers.

For most deployment categories, recommend setting up a dedicated java process to run P6

service activity and removing services from the application server processes serving web

requests

For long running jobs, recommend scheduling the job when the load on system is low

For initial run of Publication Services, recommend running on long duration of off-peak hours

(such as a weekend).

For heavy data intensive jobs (such as summarizing an entire EPS), recommend sequential

runs versus concurrent scheduling.

Factors which can impact the response of Project Publication:

– Number of activities/assignments

– Length of project

– Length of publication date range

– Number of financial periods

Tune the service settings available & Scale by deploying multiple instances of P6 Services

– Activity Gantt

Can load up to 100 thousand activities

Factors which can impact the response of the Activity Gantt:

– Number of activities/assignments

– Number of activity relationships

– Number of open projects

– Project length

– Depth of WBS hierarchy

– Activities/assignments length

– Amount of client-side memory allocated

– View being used

– Resource Management

– Number of resources

– Number of resource assignments to activities

– Filter usage

– Project length

– Depth of WBS hierarchy

– Amount of client-side memory allocated to the JRE and applets

– Risks

– Number of risks

– Number of activity assignments to risk

– Number of risk scoring matrix assignments

– Number of response plan assignments

– Amount of client side memory allocated to the JRE and applets

– Other load on the application server

P6 Web Client (Browser)

– Number of concurrent users

– Activities performed within each user session

Activity Gantt, Resource Planning, P6 Services, Reporting

– Maximum Memory Allocated to Applets

How To Improve Applet Performance In P6 When Working With Larger Datasets (Doc ID 1397987.1)

P6 Web Client (Browser)

– Java Runtime Environment Settings

How To Allow More JRE Client Side Memory for Loading Applets In P6 And Override The

'Maximum memory allocated to Java Applets' Variable In The P6 Configuration (Doc ID

1389862.1)

Application Versions

– R8.2 Patch 16361945 - P6 Release 8.2 Service Pack 1 HotFix 22

[SQL] Bug 15829348 - job remains at delegated; pending child jobs never complete and

running jobs = 0

[SQL] Bug 13904862 -

org.springframework.dao.deadlockloserdataaccessexception:preparedstatementcallba

Bug 15876661 - view service status window in p6 web takes several minutes to open

Bug 15877189 - 'published security' svc takes long time to complete and inserts duplicates

Bug 14583845 - p6 web freezes when clicking eps view

Bug 15892160 - summarization uses individual spread objs to be created in db not batch

commit

– R8.2 Patch 16361945 - P6 Release 8.2 Service Pack 1 HotFix 22

Bug 14579655 - running summarize project gets critical / out of memory error

Bug 16287321 - portfolio view portlet containing udf's performance degradation

Bug 16210261 - resource analysis performance issue when grouped by res team or res

Bug 14087521 - project page: performance degradation when view contains 6 udf fields

Bug 14063923 - eps page fails to load due to "io error: socket read timed out"

– R8.2 Patch 16209855 - Primavera P6 Professional Version 8.2 Service Pack 1

HotFix 16

Bug 14727239 - p6 8.2 optional client performance issue login and opening 1100 projects

Bug 12681286 - system out of memory importing resource assignments from xls

Bug 13842772 - update baseline performance and timeout issues

Bug 14260200 - p6 professional hangs at 98% when re-opening project data

Bug 13998701 - 'loading summary data' causing login to take long time due to high wait

Appendix

Referenced Knowledge Base Documents

– JackRabbit Content Repository Migration to Oracle Universal Content Management

(OUCM) (Doc ID 1283730.1)

– Best Practices For Performance Tuning Of The P6 EPPM Database (Doc ID

1327603.1)

– Recommendations For Obtaining An Oracle Database Session Trace For

Performance Troubleshooting Of The Project Management Client Application (Doc

ID 891566.1)

– How To Obtain Database Trace Information From MS SQL Server Using SQL

Profiler (Doc ID 913465.1)

– Primavera SQL Monitor For P6 Project Management (Doc ID 910590.1)

Appendix

Referenced Knowledge Base Documents

– How To Trace SQL And Java From The P6 Web Access Server (Doc ID 894429.1)

– How To Configure a Separate Server Or Java Process for P6 Services (Job

Services) in P6 EPPM r8.1 And Later Releases (Doc ID 1357440.1)

– How To Improve Applet Performance In P6 When Working With Larger Datasets

(Doc ID 1397987.1)

– How To Allow More JRE Client Side Memory for Loading Applets In P6 And Override

The 'Maximum memory allocated to Java Applets' Variable In The P6 Configuration

(Doc ID 1389862.1)

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