BigW Consortium Gitlab

  1. 05 Jul, 2017 1 commit
  2. 16 Jun, 2017 2 commits
  3. 12 Jun, 2017 1 commit
  4. 22 May, 2017 1 commit
  5. 12 May, 2017 1 commit
  6. 09 May, 2017 1 commit
  7. 26 Apr, 2017 1 commit
  8. 19 Apr, 2017 1 commit
  9. 03 Apr, 2017 1 commit
  10. 02 Apr, 2017 1 commit
  11. 31 Mar, 2017 3 commits
  12. 29 Mar, 2017 1 commit
    • Monkey patch the Spinach StdoutReporter to show scenario locations · 9aedf9c4
      Robert Speicher authored
      Before:
      
          Scenario: Viewing invitation when signed out
            :heavy_check_mark:  Given "John Doe" is owner of group "Owned" # features/steps/shared/group.rb:8
      
      After:
      
          Scenario: Viewing invitation when signed out    # features/invites.feature:6
            :heavy_check_mark:  Given "John Doe" is owner of group "Owned" # features/steps/shared/group.rb:8
      
      Now if a scenario fails we can easily rerun it with a specific line
      number.
  13. 08 Mar, 2017 1 commit
  14. 25 Jan, 2017 1 commit
    • Fix race conditions for AuthorizedProjectsWorker · 88e627cf
      Yorick Peterse authored
      There were two cases that could be problematic:
      
      1. Because sometimes AuthorizedProjectsWorker would be scheduled in a
         transaction it was possible for a job to run/complete before a
         COMMIT; resulting in it either producing an error, or producing no
         new data.
      
      2. When scheduling jobs the code would not wait until completion. This
         could lead to a user creating a project and then immediately trying
         to push to it. Usually this will work fine, but given enough load it
         might take a few seconds before a user has access.
      
      The first one is problematic, the second one is mostly just annoying
      (but annoying enough to warrant a solution).
      
      This commit changes two things to deal with this:
      
      1. Sidekiq scheduling now takes places after a COMMIT, this is ensured
         by scheduling using Rails' after_commit hook instead of doing so in
         an arbitrary method.
      
      2. When scheduling jobs the calling thread now waits for all jobs to
         complete.
      
      Solution 2 requires tracking of job completions. Sidekiq provides a way
      to find a job by its ID, but this involves scanning over the entire
      queue; something that is very in-efficient for large queues. As such a
      more efficient solution is necessary. There are two main Gems that can
      do this in a more efficient manner:
      
      * sidekiq-status
      * sidekiq_status
      
      No, this is not a joke. Both Gems do a similar thing (but slightly
      different), and the only difference in their name is a dash vs an
      underscore. Both Gems however provide far more than just checking if a
      job has been completed, and both have their problems. sidekiq-status
      does not appear to be actively maintained, with the last release being
      in 2015. It also has some issues during testing as API calls are not
      stubbed in any way. sidekiq_status on the other hand does not appear to
      be very popular, and introduces a similar amount of code.
      
      Because of this I opted to write a simple home grown solution. After
      all, all we need is storing a job ID somewhere so we can efficiently
      look it up; we don't need extra web UIs (as provided by sidekiq-status)
      or complex APIs to update progress, etc.
      
      This is where Gitlab::SidekiqStatus comes in handy. This namespace
      contains some code used for tracking, removing, and looking up job IDs;
      all without having to scan over an entire queue. Data is removed
      explicitly, but also expires automatically just in case.
      
      Using this API we can now schedule jobs in a fork-join like manner: we
      schedule the jobs in Sidekiq, process them in parallel, then wait for
      completion. By using Sidekiq we can leverage all the benefits such as
      being able to scale across multiple cores and hosts, retrying failed
      jobs, etc.
      
      The one downside is that we need to make sure we can deal with
      unexpected increases in job processing timings. To deal with this the
      class Gitlab::JobWaiter (used for waiting for jobs to complete) will
      only wait a number of seconds (30 by default). Once this timeout is
      reached it will simply return.
      
      For GitLab.com almost all AuthorizedProjectWorker jobs complete in
      seconds, only very rarely do we spike to job timings of around a minute.
      These in turn seem to be the result of external factors (e.g. deploys),
      in which case a user is most likely not able to use the system anyway.
      
      In short, this new solution should ensure that jobs are processed
      properly and that in almost all cases a user has access to their
      resources whenever they need to have access.
  15. 08 Dec, 2016 1 commit
  16. 28 Nov, 2016 1 commit
  17. 21 Oct, 2016 1 commit
    • Disable warming of the asset cache in Spinach tests under CI · cf31a0f0
      Stan Hu authored
      I suspect some combination of Knapsack tests cause no regular Rack tests
      to be loaded (i.e. all JavaScript tests), which leads to the error:
      
      ArgumentError: rack-test requires a rack application, but none was given
      
      In CI, we precompile all the assets so there is no need to warm the
      asset cache in any case.
      
      Closes #23613
  18. 18 Oct, 2016 1 commit
  19. 14 Oct, 2016 2 commits
  20. 13 Aug, 2016 1 commit
  21. 21 Jul, 2016 5 commits
  22. 13 Jul, 2016 1 commit
  23. 30 Jun, 2016 1 commit
  24. 08 Jun, 2016 1 commit
  25. 03 Jun, 2016 4 commits
  26. 15 Mar, 2016 1 commit
  27. 09 Mar, 2016 1 commit
  28. 23 Feb, 2016 1 commit
  29. 29 Jan, 2016 1 commit
    • Prevent transient Capybara timeouts during feature tests · bbe0fa91
      Robert Speicher authored
      The problem occurred because asset compilation takes a long time, so
      when the asset cache didn't exist and the first test ran, it would often
      (randomly) time out during the generation before the actual test even
      had a chance to run.
      
      Now we check if the cache exists before the suite runs, and if not, we
      manually fire a request to the root URL in order to generate it. This
      should allow subsequent tests to use the cached assets.