- 21 Oct, 2016 1 commit
-
-
Yorick Peterse authored
Dumping too many jobs in the same queue (e.g. the "default" queue) is a dangerous setup. Jobs that take a long time to process can effectively block any other work from being performed given there are enough of these jobs. Furthermore it becomes harder to monitor the jobs as a single queue could contain jobs for different workers. In such a setup the only reliable way of getting counts per job is to iterate over all jobs in a queue, which is a rather time consuming process. By using separate queues for various workers we have better control over throughput, we can add weight to queues, and we can monitor queues better. Some workers still use the same queue whenever their work is related. For example, the various CI pipeline workers use the same "pipeline" queue. This commit includes a Rails migration that moves Sidekiq jobs from the old queues to the new ones. This migration also takes care of doing the inverse if ever needed. This does require downtime as otherwise new jobs could be scheduled in the old queues after this migration completes. This commit also includes an RSpec test that blacklists the use of the "default" queue and ensures cron workers use the "cronjob" queue. Fixes gitlab-org/gitlab-ce#23370
-
- 10 Oct, 2016 1 commit
-
-
Yorick Peterse authored
This commit introduces a Sidekiq worker that precalculates the list of trending projects on a daily basis. The resulting set is stored in a database table that is then queried by Project.trending. This setup means that Unicorn workers no longer _may_ have to calculate the list of trending projects. Furthermore it supports filtering without any complex caching mechanisms. The data in the "trending_projects" table is inserted in the same order as the project ranking. This means that getting the projects in the correct order is simply a matter of: SELECT projects.* FROM projects INNER JOIN trending_projects ON trending_projects.project_id = projects.id ORDER BY trending_projects.id ASC; Such a query will only take a few milliseconds at most (as measured on GitLab.com), opposed to a few seconds for the query used for calculating the project ranks. The migration in this commit does not require downtime and takes care of populating an initial list of trending projects.
-