- 04 May, 2017 2 commits
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Douglas Barbosa Alexandre authored
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Valery Sizov authored
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- 23 Feb, 2017 2 commits
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Douwe Maan authored
This reverts commit cb10b725c8929b8b4460f89c9d96c773af39ba6b.
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Douwe Maan authored
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- 01 Feb, 2017 1 commit
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Robert Speicher authored
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- 26 Jan, 2017 1 commit
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Robert Speicher authored
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- 25 Nov, 2016 1 commit
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Yorick Peterse authored
With events no longer being cached this is no longer needed.
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- 16 Nov, 2016 1 commit
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Rémy Coutable authored
Signed-off-by: Rémy Coutable <remy@rymai.me>
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- 09 Nov, 2016 1 commit
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Robert Speicher authored
Respect project visibility settings in the contributions calendar This MR fixes a number of bugs relating to access controls and date selection of events for the contributions calendar Closes https://gitlab.com/gitlab-org/gitlab-ce/issues/23403 See merge request !2019 Signed-off-by: Rémy Coutable <remy@rymai.me>
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- 20 Oct, 2016 2 commits
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Callum Dryden authored
At the moment we cannot see weather a user left a project due to their membership expiring of if they themselves opted to leave the project. This adds a new event type that allows us to make this differentiation. Note that is not really feasable to go back and reliably fix up the previous events. As a result the events for previous expire removals will remain the same however events of this nature going forward will be correctly represented.
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Callum Dryden authored
At the moment we cannot see weather a user left a project due to their membership expiring of if they themselves opted to leave the project. This adds a new event type that allows us to make this differentiation. Note that is not really feasable to go back and reliably fix up the previous events. As a result the events for previous expire removals will remain the same however events of this nature going forward will be correctly represented.
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- 13 Oct, 2016 1 commit
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Semyon Pupkov authored
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- 11 Oct, 2016 1 commit
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Valery Sizov authored
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- 04 Oct, 2016 1 commit
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Yorick Peterse authored
Per GitLab.com's performance metrics this method could take up to 5 seconds of wall time to complete, while only taking 1-2 milliseconds of CPU time. Removing the Redis lease in favour of conditional updates allows us to work around this. A slight drawback is that this allows for multiple threads/processes to try and update the same row. However, only a single thread/process will ever win since the UPDATE query uses a WHERE condition to only update rows that were not updated in the last hour. Fixes gitlab-org/gitlab-ce#22473
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- 19 Sep, 2016 1 commit
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Yorick Peterse authored
The lock in turn is only obtained when actually needed, reducing some load on Redis. Fixes gitlab-org/gitlab-ce#22213
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- 07 Jul, 2016 1 commit
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Douwe Maan authored
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- 06 Jul, 2016 1 commit
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Rémy Coutable authored
Signed-off-by: Rémy Coutable <remy@rymai.me>
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- 04 Jul, 2016 1 commit
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Rémy Coutable authored
Signed-off-by: Rémy Coutable <remy@rymai.me>
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- 16 Jun, 2016 2 commits
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James Lopez authored
This reverts commit 13e37a3e.
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James Lopez authored
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- 13 Jun, 2016 1 commit
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Douglas Barbosa Alexandre authored
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- 03 Jun, 2016 2 commits
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James Lopez authored
This reverts commit 3e991230.
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James Lopez authored
# Conflicts: # app/models/project.rb
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- 09 May, 2016 1 commit
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Jeroen van Baarsen authored
In 8278b763 the default behaviour of annotation has changes, which was causing a lot of noise in diffs. We decided in #17382 that it is better to get rid of the whole annotate gem, and instead let people look at schema.rb for the columns in a table. Fixes: #17382
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- 25 Apr, 2016 1 commit
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Rémy Coutable authored
Signed-off-by: Rémy Coutable <remy@rymai.me>
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- 24 Mar, 2016 2 commits
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Douglas Barbosa Alexandre authored
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Douglas Barbosa Alexandre authored
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- 17 Mar, 2016 1 commit
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Douglas Barbosa Alexandre authored
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- 27 Jan, 2016 1 commit
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Yorick Peterse authored
By simply loading the first event from the already sorted set we save ourselves extra (slow) queries just to get the latest update timestamp. This removes the need for Event.latest_update_time and significantly reduces the time needed to build an Atom feed. Fixes gitlab-org/gitlab-ce#12415
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- 09 Dec, 2015 1 commit
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Douwe Maan authored
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- 18 Nov, 2015 2 commits
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Yorick Peterse authored
This will be used to move some querying logic from the users controller to the Event model (where it belongs).
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Yorick Peterse authored
Instead of using MAX(events.updated_at) we can simply sort the events in descending order by the "id" column and grab the first row. In other words, instead of this: SELECT max(events.updated_at) AS max_id FROM events LEFT OUTER JOIN projects ON projects.id = events.project_id LEFT OUTER JOIN namespaces ON namespaces.id = projects.namespace_id WHERE events.author_id IS NOT NULL AND events.project_id IN (13083); we can use this: SELECT events.updated_at AS max_id FROM events LEFT OUTER JOIN projects ON projects.id = events.project_id LEFT OUTER JOIN namespaces ON namespaces.id = projects.namespace_id WHERE events.author_id IS NOT NULL AND events.project_id IN (13083) ORDER BY events.id DESC LIMIT 1; This has the benefit that on PostgreSQL a backwards index scan can be used, which due to the "LIMIT 1" will at most process only a single row. This in turn greatly speeds up the process of grabbing the latest update time. This can be confirmed by looking at the query plans. The first query produces the following plan: Aggregate (cost=43779.84..43779.85 rows=1 width=12) (actual time=2142.462..2142.462 rows=1 loops=1) -> Index Scan using index_events_on_project_id on events (cost=0.43..43704.69 rows=30060 width=12) (actual time=0.033..2138.086 rows=32769 loops=1) Index Cond: (project_id = 13083) Filter: (author_id IS NOT NULL) Planning time: 1.248 ms Execution time: 2142.548 ms The second query in turn produces the following plan: Limit (cost=0.43..41.65 rows=1 width=16) (actual time=1.394..1.394 rows=1 loops=1) -> Index Scan Backward using events_pkey on events (cost=0.43..1238907.96 rows=30060 width=16) (actual time=1.394..1.394 rows=1 loops=1) Filter: ((author_id IS NOT NULL) AND (project_id = 13083)) Rows Removed by Filter: 2104 Planning time: 0.166 ms Execution time: 1.408 ms According to the above plans the 2nd query is around 1500 times faster. However, re-running the first query produces timings of around 80 ms, making the 2nd query "only" around 55 times faster.
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- 12 Feb, 2015 1 commit
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Jeroen van Baarsen authored
Signed-off-by: Jeroen van Baarsen <jeroenvanbaarsen@gmail.com>
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- 03 Nov, 2014 2 commits
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Ciro Santilli authored
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Ciro Santilli authored
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- 17 Jun, 2014 1 commit
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Dmitriy Zaporozhets authored
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- 09 Apr, 2014 1 commit
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Dmitriy Zaporozhets authored
Signed-off-by: Dmitriy Zaporozhets <dmitriy.zaporozhets@gmail.com>
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- 14 Dec, 2013 1 commit
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skv authored
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- 26 Mar, 2013 1 commit
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Dmitriy Zaporozhets authored
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- 13 Feb, 2013 1 commit
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Andrew8xx8 authored
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