Agniva De Sarker 18c8a2bb53 MM-25554: Remove hardcoded english as the search config (#20472)
We use the default_text_search_config param from the DB
and pass that as the search config instead of hardcoding
it to english.

The docs do say that if no param is passed, by default
it will automatically fall back to default_text_search_config.
But I have seen different query plans being created
when the parameter is not passed versus when it is passed.
I am not sure why this is happening, but to be safe,
I have taken the search config during startup and stored
it in the SqlStore struct.

For reference, this is what happens without a search config
passed:

```
[bigdb] # explain analyze  SELECT *, (SELECT COUNT(*) FROM Posts WHERE Posts.RootId = (CASE WHEN q2.RootId = '' THEN q2.Id ELSE q2.RootId END) AND Posts.DeleteAt = 0) as ReplyCount FROM Posts q2 WHERE q2.DeleteAt = 0 AND q2.Type NOT LIKE 'system_%' AND to_tsvector(Message) @@  to_tsquery('sapiente') AND ChannelId IN (SELECT Id FROM Channels, ChannelMembers WHERE Id = ChannelId AND Channels.DeleteAt = 0 AND ChannelMembe
                                                                                                                                                                                                                                                                                                                               rs.UserId = 'tc3p1yqw67d8idcp3g98awexqe' AND (TeamId = '8ywxyw9ocp8smxrmjzrkqhrdwe' OR TeamId = '') AND Id IN ('h1x9asxr7idjpqfmg8q67us49h')) ORDER BY q2.CreateAt DESC LIMIT 100;
                                                                                                  QUERY PLAN
---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
 Limit  (cost=8200.93..8720.23 rows=9 width=382) (actual time=177.277..177.948 rows=100 loops=1)
   ->  Result  (cost=8200.93..8720.23 rows=9 width=382) (actual time=177.274..177.939 rows=100 loops=1)
         ->  Sort  (cost=8200.93..8200.95 rows=9 width=374) (actual time=177.245..177.271 rows=100 loops=1)
               Sort Key: q2.createat DESC
               Sort Method: top-N heapsort  Memory: 161kB
               ->  Nested Loop Semi Join  (cost=71.53..8200.79 rows=9 width=374) (actual time=5.910..176.815 rows=532 loops=1)
                     ->  Bitmap Heap Scan on posts q2  (cost=70.56..8183.64 rows=9 width=374) (actual time=5.815..176.457 rows=532 loops=1)
                           Recheck Cond: ((channelid)::text = 'h1x9asxr7idjpqfmg8q67us49h'::text)
                           Filter: (((type)::text !~~ 'system_%'::text) AND (deleteat = 0) AND (to_tsvector((message)::text) @@ to_tsquery('sapiente'::text)))
                           Rows Removed by Filter: 5244
                           Heap Blocks: exact=944
                           ->  Bitmap Index Scan on idx_posts_channel_id_update_at  (cost=0.00..70.56 rows=1866 width=0) (actual time=1.883..1.883 rows=5776 loops=1)
                                 Index Cond: ((channelid)::text = 'h1x9asxr7idjpqfmg8q67us49h'::text)
                     ->  Materialize  (cost=0.98..17.04 rows=1 width=27) (actual time=0.000..0.000 rows=1 loops=532)
                           ->  Nested Loop  (cost=0.98..17.03 rows=1 width=27) (actual time=0.080..0.080 rows=1 loops=1)
                                 ->  Index Scan using channels_pkey on channels  (cost=0.42..8.45 rows=1 width=27) (actual time=0.041..0.042 rows=1 loops=1)
                                       Index Cond: ((id)::text = 'h1x9asxr7idjpqfmg8q67us49h'::text)
                                       Filter: ((deleteat = 0) AND (((teamid)::text = '8ywxyw9ocp8smxrmjzrkqhrdwe'::text) OR ((teamid)::text = ''::text)))
                                 ->  Index Only Scan using idx_channelmembers_user_id_channel_id_last_viewed_at on channelmembers  (cost=0.56..8.58 rows=1 width=27) (actual time=0.034..0.034 rows=1 loops=1)
                                       Index Cond: ((userid = 'tc3p1yqw67d8idcp3g98awexqe'::text) AND (channelid = 'h1x9asxr7idjpqfmg8q67us49h'::text))
                                       Heap Fetches: 1
         SubPlan 1
           ->  Aggregate  (cost=57.68..57.69 rows=1 width=8) (actual time=0.006..0.006 rows=1 loops=100)
                 ->  Index Only Scan using idx_posts_root_id_delete_at on posts  (cost=0.56..54.44 rows=1294 width=0) (actual time=0.005..0.005 rows=3 loops=100)
                       Index Cond: ((rootid = (CASE WHEN ((q2.rootid)::text = ''::text) THEN q2.id ELSE q2.rootid END)::text) AND (deleteat = 0))
                       Heap Fetches: 0
 Planning Time: 2.178 ms
 Execution Time: 178.155 ms
```

We can see it using a top-N heapsort.

And this is what happens when an explicit search config
is passed:

```
[bigdb] # explain analyze  SELECT *, (SELECT COUNT(*) FROM Posts WHERE Posts.RootId = (CASE WHEN q2.RootId = '' THEN q2.Id ELSE q2.RootId END) AND Posts.DeleteAt = 0) as ReplyCount FROM Posts q2 WHERE q2.DeleteAt = 0 AND q2.Type NOT LIKE 'system_%' AND to_tsvector('pg_catalog.english', Message) @@  to_tsquery('pg_catalog.english', 'sapiente') AND ChannelId IN (SELECT Id FROM Channels, ChannelMembers WHERE Id = ChannelId AND Channels.DeleteAt = 0 AND ChannelMembers.UserId = 'tc3p1yqw67d8idcp3g98awexqe' AND (TeamId = '8ywxyw9ocp8smxrmjzrkqhrdwe' OR TeamId = '') AND Id IN ('h1x9asxr7idjpqfmg8q67us49h')) ORDER BY q2.CreateAt DESC LIMIT 100;
                                                                                            QUERY PLAN
---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
 Limit  (cost=1.54..10679.04 rows=100 width=382) (actual time=0.237..31.405 rows=100 loops=1)
   ->  Nested Loop Semi Join  (cost=1.54..17512.64 rows=164 width=382) (actual time=0.236..31.387 rows=100 loops=1)
         ->  Index Scan Backward using idx_posts_channel_id_delete_at_create_at on posts q2  (cost=0.56..8032.81 rows=164 width=374) (actual time=0.121..30.124 rows=100 loops=1)
               Index Cond: (((channelid)::text = 'h1x9asxr7idjpqfmg8q67us49h'::text) AND (deleteat = 0))
               Filter: (((type)::text !~~ 'system_%'::text) AND (to_tsvector('english'::regconfig, (message)::text) @@ '''sapient'''::tsquery))
               Rows Removed by Filter: 1088
         ->  Materialize  (cost=0.98..17.04 rows=1 width=27) (actual time=0.001..0.001 rows=1 loops=100)
               ->  Nested Loop  (cost=0.98..17.03 rows=1 width=27) (actual time=0.074..0.075 rows=1 loops=1)
                     ->  Index Scan using channels_pkey on channels  (cost=0.42..8.45 rows=1 width=27) (actual time=0.032..0.032 rows=1 loops=1)
                           Index Cond: ((id)::text = 'h1x9asxr7idjpqfmg8q67us49h'::text)
                           Filter: ((deleteat = 0) AND (((teamid)::text = '8ywxyw9ocp8smxrmjzrkqhrdwe'::text) OR ((teamid)::text = ''::text)))
                     ->  Index Only Scan using idx_channelmembers_user_id_channel_id_last_viewed_at on channelmembers  (cost=0.56..8.58 rows=1 width=27) (actual time=0.041..0.041 rows=1 loops=1)
                           Index Cond: ((userid = 'tc3p1yqw67d8idcp3g98awexqe'::text) AND (channelid = 'h1x9asxr7idjpqfmg8q67us49h'::text))
                           Heap Fetches: 1
         SubPlan 1
           ->  Aggregate  (cost=57.68..57.69 rows=1 width=8) (actual time=0.010..0.010 rows=1 loops=100)
                 ->  Index Only Scan using idx_posts_root_id_delete_at on posts  (cost=0.56..54.44 rows=1294 width=0) (actual time=0.009..0.009 rows=3 loops=100)
                       Index Cond: ((rootid = (CASE WHEN ((q2.rootid)::text = ''::text) THEN q2.id ELSE q2.rootid END)::text) AND (deleteat = 0))
                       Heap Fetches: 0
 Planning Time: 0.401 ms
 Execution Time: 31.466 ms
```

https://mattermost.atlassian.net/browse/MM-25554

```release-note
NONE
```
2022-06-17 19:52:56 +05:30
2022-03-31 13:40:12 +03:00
2020-01-23 12:34:29 +01:00
2022-06-02 22:53:12 +05:30
2022-06-13 09:36:43 +03:00
2022-06-08 09:07:20 +02:00
2021-10-12 11:39:49 +05:30
2020-03-13 18:35:31 +01:00
2018-05-30 10:23:25 -04:00
2022-02-17 12:34:39 -05:00
2022-05-11 01:09:55 +03:00

Mattermost

Mattermost is an open source platform for secure collaboration across the entire software development lifecycle. This repo is the primary source for core development on the Mattermost platform; it's written in Go and React and runs as a single Linux binary with MySQL or PostgreSQL. A new compiled version is released under an MIT license every month on the 16th.

mattermost-hero

Useful resources:

Table of contents

Install Mattermost

Other install guides:

Native mobile and desktop apps

In addition to the web interface, you can also download Mattermost clients for Android, iOS, Windows PC, macOS, and Linux.

Google Play App Store Windows PC Mac OSX Linux

Get security bulletins

Receive notifications of critical security updates. The sophistication of online attackers is perpetually increasing. If you're deploying Mattermost it's highly recommended you subscribe to the Mattermost Security Bulletin mailing list for updates on critical security releases.

Subscribe here

Get involved

Learn more

License

See the LICENSE file for license rights and limitations.

Get the latest news

Contributing

Please see CONTRIBUTING.md. Join the Mattermost Contributors server to join community discussions about contributions, development, and more.

Описание
No description provided
Readme 636 MiB
Languages
TypeScript 47%
Go 40.2%
JavaScript 8.6%
SCSS 2.8%
HTML 1.1%
Разное 0.2%