OBIEE Performance Tuning Tips - appsassociates.com · –BI Server –BI Presentation Server –Mapviewer, client installers, Real Time Decisions • Most often Oracle support suggest

© Copyright 2014. Apps Associates LLC. 1

OBIEE Performance Tuning Tips

June 09, 2014

Bharath Terala Sr. Principal Consultant Apps Associates LLC


Agenda

• About the Presenter

• About Apps Associates LLC

• OBIEE Architecture

• Key Performance Drivers

• Capacity Planning – BI

• Engineered Systems vs. Traditional Hardware

• Stay on Current Version – Why?

• OBI Diagnostic Tools

• OBI Performance Tuning Parameters

• Real World Tuning Examples


About the Presenter

• Bharath Terala

– Senior Principal Consultant DBA at Apps Associates LLC

– 8 Years of Experience as an Oracle Apps/Business Intelligence /EPM/Fusion Middleware DBA

– Oracle Certified Professional


Performance. Growth. Excellence.

Global provider of business and technology consulting services

Founded in 2002 and achieved consistent growth – 650+ employees

– Boston, New York, Chicago, Atlanta

– Germany, Netherlands, India, UAE

Recognized as one of the fastest growing private US companies by

Inc. 500|5000 for four consecutive years

Strategic Partnerships and Certifications – Oracle Platinum Partner

– Oracle Specializations (EBS, BI, SOA, EM12c & Database)

– AWS Advanced Consulting Partner

– CMMI Level 3 Appraised

– SSAE 16/SAS70 Type II


OBIEE System Logical Architecture


Key Performance Drivers

• Hardware Capacity

• Technical Platforms

– Relational Databases

– Java Application Servers

– Web Servers

– Client / Server Operating Systems

• Business Application Design

– Structure / Size,

– Designing Reports

– Dashboards


Key Performance Drivers

• Business Process Usage

– User Activity

– Rate of User Activity

– User Concurrency


Capacity Planning BI

• One of the key performance driver is Hardware

– Categorize your implementation as Small, Medium, Large

– Plan your Network Requirements

– Plan if Clustering or Load Balancing is required

– Logical Partitioning, Virtualization & HW resources partitioning

• Key BI Metrics to monitor

– Average Query Time (seconds)

– Active Sessions

– Requests (per minute)

– Presentation Server Requests (per second)


Capacity Planning BI

– Server Queries (per second)

– Errors Reported

• Make use of BI Sizing Spreadsheet

– MOS Doc ID 1323646.1

• Finalize your Capacity Plan


Engineered System vs. Traditional HW


Engineered System

Why Exalytics?

• New Challenges

– Need to analyze/aggregate/display huge volume of data with extreme fast response time

• Solutions by Exalytics

– High computing capacity: more CPUs/Memory

– In-Memory Analytics: DW/Aggregates/Tmp in memory for extremely high performance

– Fast inter-connectivity with InfiniBand

– Fully Optimized: Analytics software is optimized to fully utilize the highly performing hardware


Stay on Current Version

• Variety of Bugs fixed for each BI component

– BI Installer

– BI Publisher

– EPM Components

– BI Server

– BI Presentation Server

– Mapviewer, client installers, Real Time Decisions

• Most often Oracle support suggest to apply latest version and test your issue

• Always review Product Information Center for latest BI Topics

– MOS Note “Oracle Business Intelligence Enterprise Edition (OBIEE) Product Information Center (PIC) (Doc ID 1267009.1)”


OBIEE Diagnostic Tools

• Weblogic Console

– JVM heap usage

– ActiveThreadsCount

– Queue Length

– JDBC connections

– # of analytics sessions

– # of bisecurity sessions

– Thread dump

• OBIPS perfmon: active sessions/thread pool sizes… etc.

– http://<hostname>:<port>/analytics/saw.dll?Perfmon


OBIEE Diagnostic Tools Contd.

• Jconsole: Threads

– Heap Usage & GC usage

– Thread dumps to check number of active threads

• ttStatus: check active connections

• OBIS query logging to check slow queries

• BI Admintool: Active Sessions

• EM: to monitor OBIEE domain

– http://<server>:7001/em


OBIEE Performance Tuning Parameters

• Weblogic Server

– JVM Heap size

– Analytics app Connection Pool

– Analytics app session timeout

– Statement Cache – Set to 0 for Oracle Database



– Stuck Threads

– Disable Wrap Datatypes



• Java Host

– JVM Heap Size for Trellis Charts

– Thread Pool size

– Temp/log folder location

• BI Server

– Hardware Acceleration flag

– OBIS Cache

– Temp/log folder location

– Log level



• TimesTen

– DB connection

– Log Level

– Slow queries


Real World Tuning Examples

• When running a report Customer A has faced an error

– Common elements that affect the display of data in views. If the user exceeds these values, then the Oracle BI Server returns an error message when the view is rendered.

• Exceeded Configured Maximum Number Of Allowed Output Prompts, Prompts, Sections, Rows or Columns Error Codes : IRVLJWTA:OI2DL65P

– Solution Fix:

• Review the instanceconfig.xml file for various limits set accordingly

• Follow MOS Note: 1326670.1



• Customer A has performed Load Testing on BI instance

– Observations:

• High response time on applications while Performance evaluation

• Top response time SQL’s were identified

• Observed high utilization of JVM and GC not invoked, BI instance crashed

– Solutions:

• Top response time SQL’s were identified and tuned by implementing indexes

• Database stats were executed

• Raised and SR with oracle and upgraded 11.1.1.7.140415 Patch in OBIEE PE environment

– Observed after Patch GC invoked to clear threads and proper utilization of JVM seen

– BI Instance sustained without crash



• Customer A is performing development work, creating analysis – Observation:

• BI Instance is unresponsive

• High Consumption of Memory

• Linux Server Hung

• BI Foundation logs show: – Exceeded maximum capacity of '8192' elements

– Solution: • Work manager thread constraint should be set to 8192 or low

• Working threads consume more memory & CPU

• Customers can set the queue size from 10.3.6 Weblogic

• Refer MOS Note: "Exceeded maximum capacity of '8192' elements" exception When Using MaxThreads Constraint in WLS 10.3.6+ (Doc ID 1470870.1)



• Incremental /Micro ETL tuning

– Observation:

• By default drop and recreate option is enabled on all index partitions at execution plan level

• Index drop / recreate takes considerable time

– Solution:

• Define index actions to drop/recreate/rebuild impacted partitioned of indices



• Monitor index usage to selectively enable required indexes

– Observation:

• BI Apps comes with lot of indexes defined by default

• However, every customer usage may be different

– Solution:

• Disable unused indexes after observing index usage for a period

• Create/Enable selectively based on the needs from periodical observation

• Drop single cardinality index as these will add NO value and forces full table scan



• Commit interval tuning in Incremental/Micro ETL

– Observation:

• Default commit interval defined in sessions may not be ideal

– Solution:

• Customer A have observed the incremental load transactions volume of specific facts and tuned so i/o can be optimized



• Gather Stats after Incremental/Micro ETL

– Observation:

• Running gather stats on the entire partitioned table can be expensive

– Solution:

• Customer ABC have gained incremental load performance by running gather stats on only effected partitions

• This information can be obtained from dba_tab_modifications



• Execution plans for Incremental/Micro ETL tuning

– Observation:

• Default soft delete processes may be observed as expensive based on nature of business

• Irrespective of whether transactions are deleted in source soft delete process runs

– Solution:

• Isolate running soft delete tasks at different interval (ex: weekly) to reduce the total ETL time


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OBIEE Performance Tuning Tips - appsassociates.com · –BI Server –BI Presentation Server –Mapviewer, client installers, Real Time Decisions • Most often Oracle support suggest