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Continuous testing and deployment in Perl (London.pm Technical Meeting October 2012)

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Continuous testing and deployment in Perl (London.pm Technical Meeting October 2012)

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What is continuous deployment?

What are the challenges to getting it right?

How does Perl meet/destroy those challenges?

What is continuous deployment?

What are the challenges to getting it right?

How does Perl meet/destroy those challenges?

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Continuous testing and deployment in Perl (London.pm Technical Meeting October 2012)

  1. 1. Continuous Deployment in Perl Presentation by Alex Balhatchet (KAORU)
  2. 2. Intro
  3. 3. What is continuous deployment? Commit Changes Deploy Changes As quickly as possible! :-) Test Changes
  4. 4. Committing Changes ● Use your favourite VCS ● Push the changes somewhere centralized (staging/testing environment) ● This should kick off a "build and test" cycle if one is not currently running
  5. 5. Testing Changes Perl is absolutely fantastic for testing. ● TAP ● TAP::Harness / App::Prove ● Test::Builder / Test::More
  6. 6. Deploying Changes ● Pick your favourite deployment method ● Make it as fast as possible ● Make it as easy as possible
  7. 7. Challenges ● Fast tests ● Reliable tests ● Fast deployment
  8. 8. Challenges ● Fast tests Focus of this talk ● Reliable tests ● Fast deployment
  9. 9. Perl Testing
  10. 10. TAP::Harness and App::Prove
  11. 11. TAP::Harness and App::Prove /usr/bin/prove uses App::Prove uses TAP::Harness
  12. 12. App::Prove features - basics ● Run lots of tests with one command ● Hide non-failure output ● Run tests in parallel ● Show timing information
  13. 13. App::Prove features - basics alex@karin$ prove -l -r -j 16 t/ t/00-load.t .......... ok t/01-backup.t ........ ok t/02-delete_files.t .. ok All tests successful. Files=3, Tests=51, 1 wallclock secs ( 0.06 usr 0.01 sys + 0.78 cusr 0.20 csys = 1.05 CPU) Result: PASS
  14. 14. App::Prove features - advanced ● Load plugins from App::Prove::Plugin::* ● Save the TAP results to a .tgz archive ● Save state between runs and use that state to change the order for future runs
  15. 15. App::Prove features - advanced alex@karin$ prove -l -r --state=hot,all,save t/ No saved state, selection will be empty t/00-load.t .. ok t/01-good.t .. ok t/02-bad.t ... 1/1 alex@karin$ prove -l -r --state=hot,all,save t/ t/02-bad.t ... 1/1 <===== Runs first! t/00-load.t .. ok t/01-good.t .. ok
  16. 16. App::Prove features - advanced Other "state" options: ● slow - very useful with -j N ● fresh - only run the tests you need to ● last - same as last run, even with --shuffle
  17. 17. Test::Aggregate
  18. 18. Test::Aggregate ● Combine multiple .t files into a single file ● Avoids compilation overhead ● Therefore speeds up your tests!
  19. 19. Test::Aggregate::Nested ● Alpha code ● Uses the fairly recently added syntax for subtests in TAP ● Works really well for us!
  20. 20. Test::Aggregate caveats ● Breaks BEGIN and END blocks (use Scope::Guard instead!) ● exit() is also a bad idea! ● Be aware of Test modules which use these (Test::NoWarnings is the most common!)
  21. 21. Parallelisation of Aggregated Tests Currently closed source - sorry! The logic is: i. Split up tests into N groups ii. Copy .t files into temporary directory iii. Write temporary .t file that uses Test:: Aggregate::Nested iv. Run those tests with prove -j N
  22. 22. TAP::Harness ::Archive
  23. 23. TAP::Harness::Archive ● "isa" TAP::Harness ● Stores the TAP output in a tar archive ● Gives you full TAP even when running in parallel ● Allows you to run your tests once and then format the results in multiple ways
  24. 24. How we format our TAP ● Process the output from our parallelised aggregated test runs ● Match up the failures with the .t files ● Write a summary in Markdown format that's later converted to HTML and emailed to us
  25. 25. How you might format your TAP ● TAP::Formatter::JUnit (eg. for Jenkins) ● TAP::Formatter::TeamCity ● TAP::Formatter::HTML
  26. 26. TAP::Formatter::HTML example
  27. 27. TAP::Formatter::HTML example
  28. 28. Putting it all together
  29. 29. Continuous Deployment at Lokku svn commit On test success new code is automatically pushed Deployment is one command and very quick Perl daemon notices commit Parallelised and aggregated test run starts running Nicely formatted results are emailed on success or failure
  30. 30. What's next?
  31. 31. What's next? ● Test::WWW::Selenium::More ● Faster tests - more unit tests, fewer integration tests ● Parallelised deployment
  32. 32. Thanks! Any questions?

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