Speed up your build pipeline for faster feedback
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In this talk I will share how we brought down our Jenkins build pipeline time down from over 90 minutes to under 12 minutes. I will share specific techniques which helped and also some, which logically made sense, but actually did not help. If your team is trying to optimize their build times, then this session might give you some ideas on how to approach the problem. Development Impact – The number of builds in a day have increased over a period of time as the build time has reduced. Frequency of code check-in has increased; Wait time has reduced; failed test case faster to isolate and fix. The sessions will look at: Why long running pipeline was hurting, Key Principles to Speed Up Your Build Pipeline, Bottlenecks , Disk IO examples and alternatives, Insights from CPU Profiling, Divide and Conquer, Fail Fast, Results The talk will highlight: Importance of getting fast feedback, How to investigate long running tests, How to run Tests concurrently, RAM Disks, SSD, Hybrid disks, Why you should not assume; but validate your hypothesis. Session at the IndicThreads.com Confence held in Pune India on 27-28 Feb 2015 http://www.indicthreads.com http://pune15.indicthreads.com
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Speed up your build pipeline for faster feedback
- 1. Speed Up Your Build Pipeline for Faster Feedback Ashish Parkhi IDeaS a SAS Company [email protected] @AshishParkhi http://ashishparkhi.com
- 2. 2 Build Pipeline – 10 Months Ago About 60to 90minutes
- 3. 3 Impact on life. Image source – http://ak3.picdn.net/shutterstock/videos/5132438/preview/stock-footage-mixed-ethnicity-group-of-medical-professionals- working-late-at-night-are-looking-at-a-computer.jpg http://the247analyst.files.wordpress.com/2011/10/dealing-with-pressure.jpg http://www.dimitri.co.uk/business/business-images/worker-alone-dark-office.jpg http://cdn.sheknows.com/articles/2012/10/crying-little-girl.jpg
- 4. 4 Build Pipeline - Now – under 10 Minutes
- 5. 5 Focus on the Bottlenecks Divide and Conquer Key Principles to Speed Up Your Build Pipeline Fail Fast
- 6. 6 Focus on the Bottlenecks Divide and Conquer Key Principles to Speed Up Your Build Pipeline Fail Fast
- 7. 7 Disk IO – Example Focus on Bottleneck File Operations
- 8. 8 Disk IO – Example Focus on Bottleneck Database operations. Image Source - https://encrypted-tbn3.gstatic.com/images?q=tbn:ANd9GcTPdVawndjUZbU2PDn-oKgjBPqmgDqr3PPZatZh9kxEgNi71AND http://www.dba-oracle.com/images/large_disk_hot_files.gif
- 9. 9 Disk IO – Alternative Focus on Bottleneck • Avoid file operations – e.g. duplicating workspace Image Source - http://3.bp.blogspot.com/-bqTjSN7pSpg/UbqyjVojEFI/AAAAAAAADBw/PWe0kiuRHJ4/s200/no+duplicate+content.jpg
- 10. 10 Disk IO – Alternative Focus on Bottleneck • Avoid file operations – e.g. Jar creation. Image Source - http://i1.wp.com/blog.quoteroller.com/wp-content/uploads/2013/04/Dont-start-from-scratch.png?resize=800%2C264
- 11. 11 Disk IO – Alternative Focus on Bottleneck • Robocopy/rsync. Image source - http://www.asustor.com/images/admv2/022_Rsync%20Backup-The-ultimate-tool-for-remote-backup.png
- 12. 12 Disk IO – Alternative Focus on Bottleneck • Test on smaller but apt data set. Image source - http://4.bp.blogspot.com/_4hvqisoH9CE/TSZIs7eiSAI/AAAAAAAAA7E/vanj6bGD8XQ/s1600/big-vs-small-left.jpg
- 13. 13 Disk IO - Alternative - SSD Focus on Bottleneck • HDD (Toshiba MQ01ACF050 500GB SATA III) vs SSD (Samsung PM851 512GB mSata)
- 14. 14 Disk IO - Alternative - SSD Focus on Bottleneck • HDD SSD
- 15. 15 Disk IO - Alternative – In Memory DB Focus on Bottleneck Memory (Heap) Engine – had some limitations over myisam engine.
- 16. 16 Disk IO - Alternative – In Memory DB Focus on Bottleneck – was not supporting many MySQL queries so was discarded.
- 17. 17 Disk IO - Alternative – In Memory DB Focus on Bottleneck database – looked promising as it could support many MySQL queries but still required couple of modifications to our code.
- 18. 18 Disk IO - Alternative – In Memory DB Focus on Bottleneck – looked most promising as it is wire compatible with MySQL, which means without code changes I could just point to memsql and be done with it.
- 19. 19 Disk IO - Alternative – RAM Drive Focus on Bottleneck • SoftPerfect RAM Disk
- 20. Disk IO - Alternative – RAM Drive Focus on Bottleneck • RAM Drive 21
- 21. Disk IO - Alternative – RAM Drive Focus on Bottleneck • RAM Drive – did not work 22
- 22. Disk IO - Alternative – RAM Drive Focus on Bottleneck • RAM Drive – did not work 23
- 23. CPU - Profiling Focus on Bottleneck 24
- 24. CPU – Profiling - Insights Focus on Bottleneck Image source - https://encrypted-tbn1.gstatic.com/images?q=tbn:ANd9GcQde6NeSrbuv40CIhKtFa1OuIQXf7F7esMJKp1Ie7zmH2t29l6Z Scanning resource bundle files from jars. 25
- 25. CPU – Profiling - Insights Focus on Bottleneck Image source - http://2.bp.blogspot.com/-uKMyLlB3F7o/Tqn_6yqdElI/AAAAAAAAB94/_1FMbHJFQBQ/s1600/weight-lift-cartoon.jpg Loading Spring Application Context. 26
- 26. CPU – Profiling - Insights Focus on Bottleneck Image source - http://dilbert.com/dyn/str_strip/000000000/00000000/0000000/000000/00000/7000/000/7029/7029.strip.gif Avoiding unnecessary activities during build e.g. sending out email. 27
- 27. CPU – Profiling - Insights Focus on Bottleneck java.util.Calendar is horribly slow. Total processing time took 20.72 minutes out of which Date Arithmetic took 18.15 minutes which is about 87.6% of the total processing time! 28
- 28. CPU – Profiling - Insights Focus on Bottleneck java.util.Calendar is horribly slow. We switched to joda date library and deprecated java.util.Date API. Now Date Arithmetic takes 1.30 minutes; that’s a massive saving of 93.77% 29
- 29. CPU - ANT 1.7 Junit task options. Focus on Bottleneck 30
- 30. Focus on the Bottlenecks Divide and Conquer Key Principles to Speed Up Your Build Pipeline Fail Fast 31
- 31. CPU - Running Tests Concurrently Divide and Conquer • Create parallel jobs. 32
- 32. CPU - Running Tests Concurrently Divide and Conquer • Distribute tasks across multiple slaves. Image source - https://wiki.jenkins-ci.org/download/attachments/2916393/logo.png?version=1&modificationDate=1302753947000 33
- 33. CPU - Running Tests Concurrently Divide and Conquer Image source - http://sharpreflections.com/wp-content/uploads/2012/06/multi_core_cpu.png • Using @RunWith(ConcurrentJunitRunner.class). – Curtesy - Mathieu Carbou http://java.dzone.com/articles/concurrent-junit-tests – Maven Surefire plugin has built in mechanism. 34
- 34. Focus on the Bottlenecks Divide and Conquer Key Principles to Speed Up Your Build Pipeline Fail Fast 35
- 35. Restructure The Build Pipeline Fail Fast Image Source - http://javapapers.com/wp-content/uploads/2012/11/failfast.jpg • We want our builds to give us fast feedback. Hence it is very important to prioritize our build tasks based on what is most likely to fail first. • Push unnecessary stuff to a separate build – Things like JavaDocs can be done nightly. • Separate out fast and slow running tests. 36
- 36. Incremental Build vs. Clean Build Fail Fast • Local dev builds are incremental, instead of clean builds, as it helps with faster feedback and fail fast. 37
- 37. Summary • Focus on bottlenecks – Avoid Disk IO - File operations, file based database operations. – Use smaller datasets, robocopy, rsync – Use in-memory databases, Ram Drives, SSDs. – Perform CPU profiling, scan logs, to uncover the unknown. – Verify build tool settings. • Divide and Conquer – Create smaller jobs that can run in parallel. – Distribute jobs across multiple slaves. – Write tests that can run in isolation and use ConcurrentJunitRunner to run them in parallel. • Fail Fast – Restructure the build pipeline to uncover failures soon. – Incremental Builds 38
- 38. Build Time Vs No Of Builds Removed Workspace Duplication Ant Junit Task – Fork Once Ram Disk Caching Resource Caching Spring Context Avoided Email Joda DateTime Deprecated Date API Concurrent Junit Runner 39
- 39. Impact on life Image source - http://t3.gstatic.com/images?q=tbn:ANd9GcTCvK8pY5qcp7Gl3ZBjxN1mc1HVHdiy1sQhByKeGgUk_5eJuUk7cA https://encrypted-tbn3.gstatic.com/images?q=tbn:ANd9GcQpoUXqhEpdGl1cLzn4gQsng_GyxUmOKWxYUH6GfrjN_FRUYPxw-Q 40
- 40. Resources • Jenkins – http://jenkins-ci.org/ • CI – http://en.wikipedia.org/wiki/Continuous_integration • Mklink – http://technet.microsoft.com/en-us/library/cc753194.aspx • http://ant.apache.org/manual/Tasks/junit.html • http://java.dzone.com/articles/javalangoutofmemory-permgen • SSD – http://en.wikipedia.org/wiki/Solid-state_drive • Hybrid disk – http://en.wikipedia.org/wiki/Hybrid_drive • HSQL – http://hsqldb.org/ • H2 – http://www.h2database.com/html/main.html • Memsql – http://www.memsql.com/ • MySQL is bazillion times faster than MemSQL • Tmpfs – http://en.wikipedia.org/wiki/Tmpfs • http://blog.laptopmag.com/faster-than-an-ssd-how-to-turn-extra-memory-into-a-ram-disk • RAM Disk Software Benchmarked • http://jvmmonitor.org/ • http://searchvmware.techtarget.com/tip/VMware-snapshot-size-and-other-causes-for-slow- snapshots • http://blogs.agilefaqs.com/2014/10/03/key-principles-for-reducing-continuous-integration-build- time/ • http://googletesting.blogspot.com/2011/06/testing-at-speed-and-scale-of-google.html • http://www.infoq.com/presentations/Development-at-Google • http://crystalmark.info/software/CrystalDiskMark/index-e.html 41
- 41. Thank You! Ashish Parkhi IDeaS a SAS Company [email protected] @AshishParkhi http://ashishparkhi.com