Download to read offline
Uploaded byDatavail
Taming the Beast: Optimizing Oracle EBS for Radical Efficiency
The document discusses strategies for optimizing Oracle EBS to enhance performance, highlighting the importance of performance tuning through various techniques like SQL code optimization and load balancing. It features a 5S approach to identify and resolve common performance issues and presents case studies demonstrating successful optimization efforts for clients, resulting in significant improvements in efficiency. The need for ongoing care and attention to EBS systems is emphasized to ensure they remain aligned with current business processes.
More Related Content
Similar to Taming the Beast: Optimizing Oracle EBS for Radical Efficiency
![[Redis Released]- FalkorDB - Redis + Graph Agentic Memory’s Secret Sauce](https://cdn.slidesharecdn.com/ss_thumbnails/redisreleased-falkordbslidedeck-1125-251115194922-e1c0046b-thumbnail.jpg?width=640&height=640&fit=bounds)
Taming the Beast: Optimizing Oracle EBS for Radical Efficiency
- 1. Taming the Beast: OptimizingOracle EBS for Radical Efficiency
- 2. www.datavail.com 2 Mahesh Vanapalli,Sr. Applications DBA Bachelor’s Degree in Computer Science and Engineering from Graduate of Nagarjuna University More than 16 year’s experience in IT Technical background in • Implementing and supporting Oracle Applications with VLDB • Global implantations and complex solutions across industry sectors • Oracle EBS • Oracle EPM • Golden Gate • OBIEE Presenter
- 3.
- 4. www.datavail.com 4 Our Rangeof Data Services Health Checks & Assessments Upgrades Data Migration OBIEE & Hyperion Consulting Development, Tuning, Automation Data Warehouse Build & Optimize DevOps (Deploy & Automate) Project Services Data Development Services 24x7 In-Office Coverage Monitoring & Incident Response w/ SLAs Service Requests (Patch, Modify, etc.) Multi-factor Monitoring Proactive Services (Health, Tune) Structured Service Review Operational Managed Services
- 5. www.datavail.com 5 How Clientssay we are Different Largest data specialist firm in North America Senior resources in 32 states and 4 countries Attrition rate in India less than 2% per quarter All India locations ISO 27001 Certified Other Security: PCI SAQ-D, Self Accensement U.S. – EU Safe Harbor Framework Certification Mark Type II SSAE16 / SOC1 - Type II SOC2 Executed and adhere to numerous HIPAA Business Associate Agreements US only delivery models for ITAR controlled data $80 million in capital raised: IP, acquisitions, delivery model & capabilities expansion A core component of Datavail’s strategy has been – and will continue to be – developing and applying IP to all our service offerings Talent Investment IP-Enabled ISO 27001
- 6. Visit us at ourvendor booth Visit our booth to WIN a pair of Bose QuietComfort Noise Canceling Headphones. Mention you attended our presentation for an additional entry.
- 7. www.datavail.com 7 Why arewe here – history of EBS What do we mean by optimize? • Quick wins to add life to your EBS environment What stops you from optimizing? • Performance Tuning • The Basics The 5S Approach What you can do to get ready for the Cloud now Outside of EBS, things you can do Summary Agenda
- 8.
- 9. www.datavail.com 9 Why DidWe Embark with EBS in the First Place? Cost savings Better controls Reduce technical complexity Manage by exception, not every transaction Automation of simple tasks
- 10. www.datavail.com 10 You havebuilt TRUST, in the system, and the data Over time: • Slow Down • Manual work arounds • No longer models your current business processes • Old data we don’t use anymore We don’t have to rebuild it, we can restore it In the End it Was About….
- 11. www.datavail.com 11 We needto tame the beast, to get the power back But it’s a bit fuzzy because • No one-way to optimize, • No perfect end state • Environment is constantly changing • People use it differently We know that! That is how we got here in the first place What Do We Mean by Optimize?
- 12. www.datavail.com 12 We focusedon getting it started, not keeping it running We built a great car, and deferred gas, maintenance, changing the tires etc. It’s alive, and moving, and needs care and feeding It served its purpose, but it changed, we changed and we didn’t stay in sync Costs money Fear of patching – impact to critical business processes You have day jobs and can’t keep up with EBS, you need a partner What Stopped Us?
- 13. At Its Core,It’s About Performance Tuning
- 14. www.datavail.com 14 Tuning meansmore than re-writing SQL for EBS • We don’t always have access to the code The process of Performance Tuning can be categorized into four areas At Its Core, It’s About Performance Tuning Performance Analysis Code Optimization Load Balancing Altering Parameters / Changing Processes
- 15. www.datavail.com 15 Performance Analysis Collectdata, lots of it Understand what is working, and what is not Identify bottlenecks and where to focus the most effort • Do I fix the longest running process/query • Or optimize the query that runs the most • Or the query that stopped running altogether At Its Core, It’s About Performance Tuning Code Optimization Actually fixing the offending code, configurations Aims to make things faster, more reliable, accuracy Rebuild trust The best explain plan 5 years ago may not be now
- 16. www.datavail.com 16 Load Balancing Sharingthe workload You may have the horse-power you need, but some horses are running faster than others Specialization of work allows for optimal configurations Spread out high CPU services At Its Core, It’s About Performance Tuning Altering Parameters/Changing Processes Business change, and we need to change systems to mirror the new processes Applications also change, data grows and characteristics change New functionality in patches
- 17. Performance Tuning – TheBasics
- 18. www.datavail.com 18 Initialization Parameters Atthe application, middle and DB tiers Memory is your friend, if you have enough Performance Tuning – The Basics IO Data grows and moves Large datasets don’t perform like small datasets Full table scans worked great with 100 rows of data Run-a-way processes consuming needlessly Perhaps more horses can breathe life back into that batch job Look at different access methods for different disks (I’m bringing back the RAID conversation)
- 19. www.datavail.com 19 CPU More users,more data, longer queries, more reports Look to reduce number of times a job runs Perhaps rewrite a query? Data Archival Hardware could also help You may need more SGA/PGA than you did 5 years ago Performance Tuning – The Basics Memory Faster than disk, but only if you allocate enough of it Disk thrashing due to insignificant memory may make things worse
- 20. www.datavail.com 20 Configuration Details Redologs – waiting for a redo log or the archiver, stops everything IO contention of high used files, perhaps move them somewhere colder Performance Tuning – The Basics Concurrency Are you stepping on yourself? Locking tables or other resources
- 21.
- 22. www.datavail.com 22 Most Performancetuning is done at the …..(poll) • Hardware • Data Structures • Initialization Parameters • SQL Code • Running Statistics • Indexing Yes it is SQL – when you can access it Datavail’s 5S Approach
- 23. www.datavail.com 23 Most commonperformance tuning issues: SQL Code Indexing Architecture Sessions Statistics Datavail’s 5S Approach
- 24. www.datavail.com 24 The 5S’s are SQL Code Statistics Space/Indexing Sessions Scheduled Process Datavail’s 5S Approach
- 25. www.datavail.com 25 Datavail’s 5SApproach SQL Code Look at join conditions, peaks and bottlenecks Full table scans of larger tables Bind variables /*+ Hints */ Statistics Your data has changed, if your stats say you have 100 rows, and you have 100 million, the optimized is going to mess up On select tables and indexes On all tables and indexes
- 26. www.datavail.com 26 Datavail’s 5SApproach Space and Indexing Quickest way to be a hero Add an index, reports goes from 10 hours to 10 seconds But perhaps too many indexes on a table are slowing down inserts and deletes Sessions Are users blocking each other? Scanning the same data? Poor queries from developers in production? Abandoned sessions
- 27. www.datavail.com 27 Datavail’s 5SApproach Scheduled Processes The right schedule can make all the difference Optimize data when no one is using it Backups, first thing to check Can you remove jobs no longer needed, or change the order Parallel processes can spawn an army of zombies waiting on one object
- 28.
- 29. www.datavail.com 29 Problem Customer wasworking on migrating one of their acquired entities from SAP to Oracle EBS 12.2 which was very critical to complete within the time lines due to legal compliance requirements. Customer was not able to complete their conversion work as part of this migration activity within the approved downtime given by the business leaders. Business transactions (navigating in order entry form, critical report, etc.) were running slow causing business impact; could not meet SLAs A handful of SQLs were taking time - running very long or being executed millions of times. Consolidated SQL run time was high. Case Study: Global Digital Commerce Company
- 30. www.datavail.com 30 Datavail Solution Identifiedthe problem area's by drilling down and performing detailed analysis. Created the right indexes which helped long running SQL and reduced runtime drastically. Tuned database memory parameters and parallel configuration so that programs/business actions could use the database resources more efficiently with good response time. Tuned concurrent managers by increasing the number of processes for standard manager, optimizing the queue time which helped to use CPU more efficiently on the EBS concurrent manager node, and improved overall concurrent program performance. Decreased the check frequency as concurrent manager processes were using high CPU by frequent polling Utilized the hardware resources very efficiently – Removed resources from less loaded EBS environment and added hardware resources to EBS environments where there was resource shortage. Case Study: Global Digital Commerce Company
- 31. www.datavail.com 31 Results Customer wasable to complete their conversion activity within the approved downtime given by the business leaders Critical business transactions (which are performed by many number of users and multiple times in one day) performance improved End user satisfaction increased Case Study: Global Digital Commerce Company
- 32. www.datavail.com 32 Case Study:Fortune 500 Fast Food Chain Problem Client had poor performance in their HR Employee Termination Statistic Report. Report needed to be run regularly, but was taking almost ten hours to complete – unsustainable. By executing our performance tuning strategy, runtime was reduced to just 25 minutes.
- 33. www.datavail.com 33 Case Study:Fortune 500 Fast Food Chain Datavail Solution Identified the problem area's by drilling down and performing detailed analysis. One particular SQL run time was high. Created the right indexes which helped long-running SQLs and frequently-run SQLs (which are running millions of times) Reduced the conversion program time by 60%
- 34. www.datavail.com 34 Case Study:Fortune 500 Fast Food Chain Results Execution time reduced from 11.5 seconds to .005 seconds Based on an average of 3,000 executions per day the runtime went from 9.5 hrs. to 25 minutes
- 35. www.datavail.com 35 You canbring life back into your EBS environment with a little care and attention Performance Tuning • The 5S Approach • SQL Code • Statistics • Space/Indexing • Sessions • Scheduled Process Bring a specialist that understands EBS, and can tame that beast. Take-a-Ways
- 36.
- 37. Mahesh Vanapalli Sr. ApplicationsDBA mahesh.vanapalli@datavail.com www.datavail.com
- 38.