BigW Consortium Gitlab

  1. 04 May, 2017 3 commits
  2. 10 Apr, 2017 1 commit
    • Move the nested groups seed behind an environment flag · d33fc982
      Robert Speicher authored
      This seed downloads 2.1 GB worth of repositories. Google can afford the
      bandwidth, but if a person using the GDK is on a metered connection,
      that's not so great.
      
      Also the GDK test suite runs this seed, so every CI run for that project
      had to download those as well. Needlessly wasteful.
  3. 06 Apr, 2017 1 commit
  4. 05 Apr, 2017 1 commit
  5. 04 Apr, 2017 1 commit
  6. 03 Apr, 2017 3 commits
  7. 30 Mar, 2017 1 commit
  8. 20 Mar, 2017 1 commit
  9. 06 Mar, 2017 1 commit
  10. 03 Mar, 2017 1 commit
  11. 27 Feb, 2017 1 commit
  12. 24 Feb, 2017 2 commits
  13. 15 Feb, 2017 1 commit
  14. 03 Feb, 2017 1 commit
  15. 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.
  16. 15 Dec, 2016 1 commit
  17. 02 Dec, 2016 1 commit
  18. 28 Nov, 2016 1 commit
  19. 25 Nov, 2016 1 commit
    • Refresh project authorizations using a Redis lease · 92b2c74c
      Yorick Peterse authored
      When I proposed using serializable transactions I was hoping we would be
      able to refresh data of individual users concurrently. Unfortunately
      upon closer inspection it was revealed this was not the case. This could
      result in a lot of queries failing due to serialization errors,
      overloading the database in the process (given enough workers trying to
      update the target table).
      
      To work around this we're now using a Redis lease that is cancelled upon
      completion. This ensures we can update the data of different users
      concurrently without overloading the database.
      
      The code will try to obtain the lease until it succeeds, waiting at
      least 1 second between retries. This is necessary as we may otherwise
      end up _not_ updating the data which is not an option.
  20. 23 Nov, 2016 1 commit
  21. 18 Nov, 2016 2 commits
  22. 17 Nov, 2016 1 commit
  23. 17 Oct, 2016 1 commit
  24. 06 Oct, 2016 1 commit
  25. 04 Oct, 2016 1 commit
  26. 28 Sep, 2016 1 commit
    • Allow Member.add_user to handle access requesters · ec0061a9
      Rémy Coutable authored
      Changes include:
      
      - Ensure Member.add_user is not called directly when not necessary
      - New GroupMember.add_users_to_group to have the same abstraction level as for Project
      - Refactor Member.add_user to take a source instead of an array of members
      - Fix Rubocop offenses
      - Always use Project#add_user instead of project.team.add_user
      - Factorize users addition as members in Member.add_users_to_source
      - Make access_level a keyword argument in GroupMember.add_users_to_group and ProjectMember.add_users_to_projects
      - Destroy any requester before adding them as a member
      - Improve the way we handle access requesters in Member.add_user
        Instead of removing the requester and creating a new member,
        we now simply accepts their access request. This way, they will
        receive a "access request granted" email.
      - Fix error that was previously silently ignored
      - Stop raising when access level is invalid in Member, let Rails validation do their work
      Signed-off-by: 's avatarRémy Coutable <remy@rymai.me>
  27. 23 Sep, 2016 1 commit
  28. 20 Sep, 2016 1 commit
    • Implement review comments from @yorickpeterse · 8957293d
      Timothy Andrew authored
      1. Change multiple updates to a single `update_all`
      
      2. Use cascading deletes
      
      3. Extract an average function for the database median.
      
      4. Move database median to `lib/gitlab/database`
      
      5. Use `delete_all` instead of `destroy_all`
      
      6. Minor refactoring
  29. 17 Sep, 2016 1 commit
    • Add a "populate metrics directly" option to the cycle analytics seed. · 161804bf
      Timothy Andrew authored
      - The normal seed creates all the data for cycle analytics the "right"
        way. It creates issues, merge requests, commits, branches,
        deployments, etc. This is good, but too slow for perf testing.
        Generating a 1000 sets of records this way takes more than an hour.
      
      - When the `CYCLE_ANALYTICS_POPULATE_METRICS_DIRECTLY` environment
        variable is passed in, the seed only creates issues and merge
        requests. It then adds the `metrics` for each issue and
        merge request directly, to save time.
      
      - The seed now takes about 4 minutes to run for 1000 sets of records.
  30. 15 Sep, 2016 1 commit
    • Improve performance of the cycle analytics page. · ba25e2f1
      Timothy Andrew authored
      1. These changes bring down page load time for 100 issues from more than
         a minute to about 1.5 seconds.
      
      2. This entire commit is composed of these types of performance
         enhancements:
      
           - Cache relevant data in `IssueMetrics` wherever possible.
           - Cache relevant data in `MergeRequestMetrics` wherever possible.
           - Preload metrics
      
      3. Given these improvements, we now only need to make 4 SQL calls:
      
          - Load all issues
          - Load all merge requests
          - Load all metrics for the issues
          - Load all metrics for the merge requests
      
      4. A list of all the data points that are now being pre-calculated:
      
          a. The first time an issue is mentioned in a commit
      
            - In `GitPushService`, find all issues mentioned by the given commit
              using `ReferenceExtractor`. Set the `first_mentioned_in_commit_at`
              flag for each of them.
      
            - There seems to be a (pre-existing) bug here - files (and
              therefore commits) created using the Web CI don't have
              cross-references created, and issues are not closed even when
              the commit title is "Fixes #xx".
      
          b. The first time a merge request is deployed to production
      
            When a `Deployment` is created, find all merge requests that
            were merged in before the deployment, and set the
            `first_deployed_to_production_at` flag for each of them.
      
          c. The start / end time for a merge request pipeline
      
            Hook into the `Pipeline` state machine. When the `status` moves to
            `running`, find the merge requests whose tip commit matches the
            pipeline, and record the `latest_build_started_at` time for each
            of them. When the `status` moves to `success`, record the
            `latest_build_finished_at` time.
      
          d. The merge requests that close an issue
      
            - This was a big cause of the performance problems we were having
              with Cycle Analytics. We need to use `ReferenceExtractor` to make
              this calculation, which is slow when we have to run it on a large
              number of merge requests.
      
            - When a merge request is created, updated, or refreshed, find the
              issues it closes, and create an instance of
              `MergeRequestsClosingIssues`, which acts as a join model between
              merge requests and issues.
      
            - If a `MergeRequestsClosingIssues` instance links a merge request
              and an issue, that issue closes that merge request.
      
      5. The `Queries` module was changed into a class, so we can cache the
         results of `issues` and `merge_requests_closing_issues` across
         various cycle analytics stages.
      
      6. The code added in this commit is untested. Tests will be added in the
         next commit.
  31. 14 Sep, 2016 2 commits
  32. 07 Sep, 2016 1 commit
  33. 19 Aug, 2016 1 commit