Optimizing Oracle Databases & Applications Gives Fast Food Giant Major Gains
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Datavail assisted a Fortune 500 fast food chain in optimizing their Oracle databases and applications, addressing issues like slow database updates and lengthy financial close processes. Through a methodology called 5S, Datavail improved performance by fine-tuning database parameters, optimizing SQL queries, and enhancing infrastructure, resulting in significant time reductions in menu updates and report runtimes. The optimization led to increased efficiency, such as reducing the financial close process impact and improving data synchronization lag from 24 hours to just 5 minutes.
Optimizing Oracle Databases & Applications Gives Fast Food Giant Major Gains
- 1. Optimizing Oracle Databases & Applications Gives Fast Food Giant Major Gains
- 2. www.datavail.com 2 Mahesh Vanapalli, Sr. Applications DBA Bachelorâs Degree in Computer Science and Engineering from Graduate of Nagarjuna University More than 18 yearâs 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
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- 4. Innovative Solutions Introduction Why Optimize? Performance Tuning â The Basics The 5S Methodology for Performance Tuning 5S In Action at Fast Food Client Results
- 5. Introduction
- 6. www.datavail.com 6 About Datavail Our Range of Oracle Applications Services Strategic consulting 24x7 managed services Performance tuning Cloud migrations Assessments & roadmaps Monitoring Upgrades Data integration & ETL Applications & DB We Support: Oracle EBS Oracle Database Oracle Analytics Golden Gate WebLogic Oracle Data Integrator Cloud Platforms (AWS, Azure, Oracle Cloud) And more âŚ
- 7. www.datavail.com 7 About the Client Fortune 500 company, one of the worldâs leading fast food chains Millions of customers served every day Thousands of location across the globe Faces some of the most challenging logistics and IT issues in the world Initially reached out to Datavail for help resolving issues around Oracle database performance and availability Client also faced challenges with lengthy financial close processes in OBIEE
- 9. www.datavail.com 9 Why Optimize? Cost savings Better controls Reduce technical complexity Manage by exception, not every transaction Automation of simple tasks
- 10. www.datavail.com 10 Slow database updates â could take up to a week for menu and prices changes to propagate to every restaurant worldwide post-datacenter migration from physical to virtual machines Time-sensitive financial close systems experienced periodic delays (due to new implementations and upgrades) that led to an inability to meet business requirements. Poor performance in their HR Employee Termination Statistic Report â unsustainable 10 hour runtime Client Optimization Challenges
- 11. Performance Tuning â The Basics
- 12. www.datavail.com 12 At Its Core, Itâs About Performance Tuning Tuning means more than re-writing SQL The process of Performance Tuning can be categorized into four areas Performance Analysis Code Optimization Load Balancing Altering Parameters / Changing Processes
- 13. www.datavail.com 13 The Basics Initialization parameters IO CPU Memory Configuration details Concurrency
- 14. The 5S Methodology for Performance Tuning
- 15. www.datavail.com 15 Datavailâs 5S Approach SQL Code Indexing Architecture Sessions Statistics
- 16. www.datavail.com 16 SQL Code Look at join conditions, peaks and bottlenecks Full table scans of larger tables Bind variables /*+ Hints */
- 17. www.datavail.com 17 Statistics Your data has changed, if your stats say you have 100 rows, and you have 10000, the optimizer is going to choose wrong explain plan On select tables and indexes On all tables and indexes
- 18. www.datavail.com 18 Space/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
- 19. www.datavail.com 19 Sessions Are users blocking each other? Scanning the same data? Poor queries from developers in production? Abandoned sessions
- 20. www.datavail.com 20 Scheduled Process The right schedule can make all the difference Backups, Gather stats run to when there is minimum data change. Can you remove jobs no longer needed, or change the order Parallel processes can spawn an army of sessions, consuming maximum available and impacting other processes to serialize.
- 21. 5S in Action at Fast Food Client
- 22. www.datavail.com 22 Speeding Menu Updates with 5S Performed analysis on the existing setup at all levels â database, infrastructure, and SQL Fine-tuned instance-level parameters Rewrote SQLs used thousands of times in the package to improved run-time
- 23. www.datavail.com 23 Upgraded OBIEE application to OBIA - underlying table structure changed from Informatica to ODI - nightly ETL process runtime increased from 7 hours to 14 hours Performed detailed analysis on new application behavior Reviewed and resized Infrastructure needs Altered DB initialization parameters Shortening Financial Close Processes with 5S Identified as part of new application some of the tables were going through a lot of re-org making it inconsistent with runtime. Some of the processes started using more parallel processes, causing others go into serial mode. Altered SQL's with HINTS and limited parallel sessions so that serialization is eliminated
- 24. www.datavail.com 24 Improving Report Runtime with 5S Identified the problem area's by drilling down and performing detailed analysis. Problem area was one particular SQL runtime was high. Created the right indexes which helped long-running SQLs.
- 25. www.datavail.com 25 Other Projects of Impact Upgraded Oracle EBS from 11g to 12c Database workload migration to Microsoft Azure Cloud Database workload migration to AWS Cloud Reconfigured GoldenGate to reduce data sync lag
- 26. Results
- 27. www.datavail.com 27 Decreased the time to implement global menu and price changes from one week to just overnight. Improved ETL runtimes between OLTP and OLAP systems from 14 hours to 6 hours. Reduced application impact to financial close. HR Employee Termination Statistic Report execution time reduced from 11.5 seconds to .005 seconds which reduced runtime from an average of 9.5 hours to 25 minutes for 3,000 executions. Reduced data sync lag from 24 hours to 5 minutes. Created a more stable IT environment for business needs. The Client Realized the Following Results
- 28. Fill Out Evaluation Form Fill out the session evaluation form for a chance to WIN a pair of our cool noise cancelling headphones! https://www.datavail.com/headphone-survey/