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.
Fixesgitlab-org/gitlab-ce#12415
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.
These scopes can just sort by the "id" column in descending order to
achieve the same result. An added benefit is being able to perform a
backwards index scan (depending on the rest of the final query) instead
of having to actually sort data.
for posterity.
Also fix issue where destroying a Milestone would cause odd, transient messages like
"created milestone" or "imported milestone".
Add "in" preposition when creating and destroying milestones
Closes#2382
If you are already sorting in descending order in the created_at,
it is run twice when you run the .recent.
It has passed in the string 'created_at DESC'.
Ruby on Rails is directly given to the SQL.
It is a slow query in MySQL.
Incorporate Summaries for Notes and Merge Requests Into Dashboard Feed
This MR fixes#305 by adding summaries for notes and merge requests into the dashboard feed.
Douglas Barbosa Alexandre
Josh Frye
Yorick Peterse
Douwe Maan
Stan Hu
catatsuy
Dmitriy Zaporozhets
Ciro Santilli
Jeroen van Baarsen
Kyle Fazzari