We were using multiple methods to check which environment we're running in. This commit switches us to use the isLegacyEmber helper consistently. This should be a no-op, but makes the code much easier to read
Under Ember CLI, we create a new application instance for each test. We were not correctly destroying it after the test, causing many references to be maintaned (e.g. at the end of a test run, `Ember.Namespace.NAMESPACES` would have an entry for each application instance).
Calling `destroy` on the application instance tidies up these references, and is one step towards fixing our test memory leak problem. Unfortunately there still seem to be other references being held to the application, so this commit is not a total fix.
The all inboxes was introduced in
016efeadf6 but we decided to roll it back
for performance reasons. The main performance challenge here is that PG
has to basically loop through all the PMs that a user is allowed to view
before being able to order by `Topic#bumped_at`. The all inboxes was not
planned as part of the new/unread filter so we've decided not to tackle
the performance issue for the upcoming release.
Follow-up to 016efeadf6
* PERF: Improve database query perf when loading topics for a category.
Instead of left joining the `topics` table against `categories` by filtering with `categories.id`,
we can improve the query plan by filtering against `topics.category_id`
first before joining which helps to reduce the number of rows in the
topics table that has to be joined against the other tables and also
make better use of our existing index.
The following is a before and after of the query plan for a category
with many subcategories.
Before:
```
QUERY PLAN
-------------------------------------------------------------------------------------------------------------------------------------
-----------------------------------------------------------------------------------
Limit (cost=1.28..747.09 rows=30 width=12) (actual time=85.502..2453.727 rows=30 loops=1)
-> Nested Loop Left Join (cost=1.28..566518.36 rows=22788 width=12) (actual time=85.501..2453.722 rows=30 loops=1)
Join Filter: (category_users.category_id = topics.category_id)
Filter: ((topics.category_id = 11) OR (COALESCE(category_users.notification_level, 1) <> 0) OR (tu.notification_level > 1))
-> Nested Loop Left Join (cost=1.00..566001.58 rows=22866 width=20) (actual time=85.494..2453.702 rows=30 loops=1)
Filter: ((COALESCE(tu.notification_level, 1) > 0) AND ((topics.category_id <> 11) OR (topics.pinned_at IS NULL) OR ((t
opics.pinned_at <= tu.cleared_pinned_at) AND (tu.cleared_pinned_at IS NOT NULL))))
Rows Removed by Filter: 1
-> Nested Loop (cost=0.57..528561.75 rows=68606 width=24) (actual time=85.472..2453.562 rows=31 loops=1)
Join Filter: ((topics.category_id = categories.id) AND ((categories.topic_id <> topics.id) OR (categories.id = 1
1)))
Rows Removed by Join Filter: 13938306
-> Index Scan using index_topics_on_bumped_at on topics (cost=0.42..100480.05 rows=715549 width=24) (actual ti
me=0.010..633.015 rows=464623 loops=1)
Filter: ((deleted_at IS NULL) AND ((archetype)::text <> 'private_message'::text))
Rows Removed by Filter: 105321
-> Materialize (cost=0.14..36.04 rows=30 width=8) (actual time=0.000..0.002 rows=30 loops=464623)
-> Index Scan using categories_pkey on categories (cost=0.14..35.89 rows=30 width=8) (actual time=0.006.
.0.040 rows=30 loops=1)
Index Cond: (id = ANY ('{11,53,57,55,54,56,112,94,107,115,116,117,97,95,102,103,101,105,99,114,106,1
13,104,98,100,96,108,109,110,111}'::integer[]))
-> Index Scan using index_topic_users_on_topic_id_and_user_id on topic_users tu (cost=0.43..0.53 rows=1 width=16) (a
ctual time=0.004..0.004 rows=0 loops=31)
Index Cond: ((topic_id = topics.id) AND (user_id = 1103877))
-> Materialize (cost=0.28..2.30 rows=1 width=8) (actual time=0.000..0.000 rows=0 loops=30)
-> Index Scan using index_category_users_on_user_id_and_last_seen_at on category_users (cost=0.28..2.29 rows=1 width
=8) (actual time=0.004..0.004 rows=0 loops=1)
Index Cond: (user_id = 1103877)
Planning Time: 1.359 ms
Execution Time: 2453.765 ms
(23 rows)
```
After:
```
QUERY PLAN
------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
Limit (cost=1.28..438.55 rows=30 width=12) (actual time=38.297..657.215 rows=30 loops=1)
-> Nested Loop Left Join (cost=1.28..195944.68 rows=13443 width=12) (actual time=38.296..657.211 rows=30 loops=1)
Filter: ((categories.topic_id <> topics.id) OR (topics.category_id = 11))
Rows Removed by Filter: 29
-> Nested Loop Left Join (cost=1.13..193462.59 rows=13443 width=16) (actual time=38.289..657.092 rows=59 loops=1)
Join Filter: (category_users.category_id = topics.category_id)
Filter: ((topics.category_id = 11) OR (COALESCE(category_users.notification_level, 1) <> 0) OR (tu.notification_level > 1))
-> Nested Loop Left Join (cost=0.85..193156.79 rows=13489 width=20) (actual time=38.282..657.059 rows=59 loops=1)
Filter: ((COALESCE(tu.notification_level, 1) > 0) AND ((topics.category_id <> 11) OR (topics.pinned_at IS NULL) OR ((topics.pinned_at <= tu.cleared_pinned_at) AND (tu.cleared_pinned_at IS NOT NULL))))
Rows Removed by Filter: 1
-> Index Scan using index_topics_on_bumped_at on topics (cost=0.42..134521.06 rows=40470 width=24) (actual time=38.267..656.850 rows=60 loops=1)
Filter: ((deleted_at IS NULL) AND ((archetype)::text <> 'private_message'::text) AND (category_id = ANY ('{11,53,57,55,54,56,112,94,107,115,116,117,97,95,102,103,101,105,99,114,106,113,104,98,100,96,108,109,110,111}'::integer[])))
Rows Removed by Filter: 569895
-> Index Scan using index_topic_users_on_topic_id_and_user_id on topic_users tu (cost=0.43..1.43 rows=1 width=16) (actual time=0.003..0.003 rows=0 loops=60)
Index Cond: ((topic_id = topics.id) AND (user_id = 1103877))
-> Materialize (cost=0.28..2.30 rows=1 width=8) (actual time=0.000..0.000 rows=0 loops=59)
-> Index Scan using index_category_users_on_user_id_and_last_seen_at on category_users (cost=0.28..2.29 rows=1 width=8) (actual time=0.004..0.004 rows=0 loops=1)
Index Cond: (user_id = 1103877)
-> Index Scan using categories_pkey on categories (cost=0.14..0.17 rows=1 width=8) (actual time=0.001..0.001 rows=1 loops=59)
Index Cond: (id = topics.category_id)
Planning Time: 1.633 ms
Execution Time: 657.255 ms
(22 rows)
```
* PERF: Optimize index on topics bumped_at.
Replace `index_topics_on_bumped_at` index with a partial index on `Topic#bumped_at` filtered by archetype since there is already another index that covers private topics.
As sharing has some hover behavior, it was looking slightly clunky with fast edit changing position. Putting sharing at the last position will reduce this effect.
When the loading spinner is removed (e.g. via the loading-slider component), the subcategory list view will persist, even when no longer required. This is because we were conditionally rendering the list into the `header-list-container` outlet. When the condition was false, we were doing nothing. Instead, we should use `disconectOutlet` to make sure the content is removed from the DOM.
Firefox does not return a PerformanceMeasure object when using
performance.mark and performance.measure, even though MDN says it
should https://developer.mozilla.org/en-US/docs/Web/API/Performance/measure#return_value
So for now, we disable the upload instrumentation with a test
to see if a PerformanceMeasure (or anything really) is returned.
When creating a reply after already navigating out of the
topic (e.g. open the reply composer, go to a different topic,
then create the post), the _removeDeleteOnOwnerReplyBookmarks
function was erroring because it relied on the topic model
being present.
We can skip this function altogether if the topic model is _not_
present, because the PostCreator already takes care of deleting
bookmarks with the on_owner_reply auto_delete_preference. The
_removeDeleteOnOwnerReplyBookmarks function just cleans up the
in-memory post stream and topic model.
In the user bookmark list, when we show the excerpt of the bookmark
(which is usually just the bookmarked post excerpt), we want to show
the first unread post's excerpt instead for for_topic bookmarks. This
is because when the user clicks on that bookmark link, they are taken
to the first unread post in the topic, not the OP, as per:
27699648ef
This commit allows for measuring the time taken for
individual uploads via the new uppy interfaces, only
if the enable_upload_debug_mode site setting is enabled.
Also in this PR, for upload errors with a specific message
locally, we return the real message to show in the modal
instead of the upload.failed message so the developer
does not have to dig around in logs.
The file size error messages for max_image_size_kb and
max_attachment_size_kb are shown to the user in the KB
format, regardless of how large the limit is. Since we
are going to support uploading much larger files soon,
this KB-based limit soon becomes unfriendly to the end
user.
For example, if the max attachment size is set to 512000
KB, this is what the user sees:
> Sorry, the file you are trying to upload is too big (maximum
size is 512000KB)
This makes the user do math. In almost all file explorers that
a regular user would be familiar width, the file size is shown
in a format based on the maximum increment (e.g. KB, MB, GB).
This commit changes the behaviour to output a humanized file size
instead of the raw KB. For the above example, it would now say:
> Sorry, the file you are trying to upload is too big (maximum
size is 512 MB)
This humanization also handles decimals, e.g. 1536KB = 1.5 MB
This commit also hides a number of options which are not used during Discourse development.
Change have been tested on both the legacy `/qunit` route, and the Ember CLI `/tests` route.
This adds support for `qunit_skip_core`, `qunit_skip_plugins` and `qunit_single_plugin` parameters on the Ember CLI `/tests` route using the `addModuleExcludeMatcher` API. Legacy support is maintained for the `/qunit` route.
David Taylor
Alan Guo Xiang Tan
Yasuo Honda
tshenry
dependabot[bot]
Penar Musaraj
Mark VanLandingham
Rafael dos Santos Silva
Joffrey JAFFEUX
Jarek Radosz
Kris
Bianca Nenciu
Jean
Martin Brennan
Dan Ungureanu
Discourse Translator Bot