2018-02-06 12:37:23 -05:00
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# frozen_string_literal: true
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DEV: Topic tracking state improvements (#13218)
I merged this PR in yesterday, finally thinking this was done https://github.com/discourse/discourse/pull/12958 but then a wild performance regression occurred. These are the problem methods:
https://github.com/discourse/discourse/blob/1aa20bd681e634f7fff22953ed62d90c2573b331/app/serializers/topic_tracking_state_serializer.rb#L13-L21
Turns out date comparison is super expensive on the backend _as well as_ the frontend.
The fix was to just move the `treat_as_new_topic_start_date` into the SQL query rather than using the slower `UserOption#treat_as_new_topic_start_date` method in ruby. After this change, 1% of the total time is spent with the `created_in_new_period` comparison instead of ~20%.
----
History:
Original PR which had to be reverted **https://github.com/discourse/discourse/pull/12555**. See the description there for what this PR is achieving, plus below.
The issue with the original PR is addressed in https://github.com/discourse/discourse/pull/12958/commits/92ef54f4020111ffacb0f2a27da5d5c2855f9d5d
If you went to the `x unread` link for a tag Chrome would freeze up and possibly crash, or eventually unfreeze after nearly 10 mins. Other routes for unread/new were similarly slow. From profiling the issue was the `sync` function of `topic-tracking-state.js`, which calls down to `isNew` which in turn calls `moment`, a change I had made in the PR above. The time it takes locally with ~1400 topics in the tracking state is 2.3 seconds.
To solve this issue, I have moved these calculations for "created in new period" and "unread not too old" into the tracking state serializer.
When I was looking at the profiler I also noticed this issue which was just compounding the problem. Every time we modify topic tracking state we recalculate the sidebar tracking/everything/tag counts. However this calls `forEachTracked` and `countTags` which can be quite expensive as they go through the whole tracking state (and were also calling the removed moment functions).
I added some logs and this was being called 30 times when navigating to a new /unread route because `sync` is being called from `build-topic-route` (one for each topic loaded due to pagination). So I just added a debounce here and it makes things even faster.
Finally, I changed topic tracking state to use a Map so our counts of the state keys is faster (Maps have .size whereas objects you have to do Object.keys(obj) which is O(n).)
<!-- NOTE: All pull requests should have tests (rspec in Ruby, qunit in JavaScript). If your code does not include test coverage, please include an explanation of why it was omitted. -->
2021-06-01 19:06:29 -04:00
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# This class is used to mirror unread and new status back to end users
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# in JavaScript there is a mirror class that is kept in-sync using MessageBus
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2013-05-21 02:39:51 -04:00
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# the allows end users to always know which topics have unread posts in them
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DEV: Topic tracking state improvements (#13218)
I merged this PR in yesterday, finally thinking this was done https://github.com/discourse/discourse/pull/12958 but then a wild performance regression occurred. These are the problem methods:
https://github.com/discourse/discourse/blob/1aa20bd681e634f7fff22953ed62d90c2573b331/app/serializers/topic_tracking_state_serializer.rb#L13-L21
Turns out date comparison is super expensive on the backend _as well as_ the frontend.
The fix was to just move the `treat_as_new_topic_start_date` into the SQL query rather than using the slower `UserOption#treat_as_new_topic_start_date` method in ruby. After this change, 1% of the total time is spent with the `created_in_new_period` comparison instead of ~20%.
----
History:
Original PR which had to be reverted **https://github.com/discourse/discourse/pull/12555**. See the description there for what this PR is achieving, plus below.
The issue with the original PR is addressed in https://github.com/discourse/discourse/pull/12958/commits/92ef54f4020111ffacb0f2a27da5d5c2855f9d5d
If you went to the `x unread` link for a tag Chrome would freeze up and possibly crash, or eventually unfreeze after nearly 10 mins. Other routes for unread/new were similarly slow. From profiling the issue was the `sync` function of `topic-tracking-state.js`, which calls down to `isNew` which in turn calls `moment`, a change I had made in the PR above. The time it takes locally with ~1400 topics in the tracking state is 2.3 seconds.
To solve this issue, I have moved these calculations for "created in new period" and "unread not too old" into the tracking state serializer.
When I was looking at the profiler I also noticed this issue which was just compounding the problem. Every time we modify topic tracking state we recalculate the sidebar tracking/everything/tag counts. However this calls `forEachTracked` and `countTags` which can be quite expensive as they go through the whole tracking state (and were also calling the removed moment functions).
I added some logs and this was being called 30 times when navigating to a new /unread route because `sync` is being called from `build-topic-route` (one for each topic loaded due to pagination). So I just added a debounce here and it makes things even faster.
Finally, I changed topic tracking state to use a Map so our counts of the state keys is faster (Maps have .size whereas objects you have to do Object.keys(obj) which is O(n).)
<!-- NOTE: All pull requests should have tests (rspec in Ruby, qunit in JavaScript). If your code does not include test coverage, please include an explanation of why it was omitted. -->
2021-06-01 19:06:29 -04:00
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# and which topics are new. This is used in various places in the UI, such as
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# counters, indicators, and messages at the top of topic lists, so the user
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# knows there is something worth reading at a glance.
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#
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# The TopicTrackingState.report data is preloaded in ApplicationController
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# for the current user under the topicTrackingStates key, and the existing
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# state is loaded into memory on page load. From there the MessageBus is
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# used to keep topic state up to date, as well as syncing with topics from
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# corresponding lists fetched from the server (e.g. the /new, /latest,
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# /unread topic lists).
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#
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# See discourse/app/models/topic-tracking-state.js
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2013-05-29 04:11:04 -04:00
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class TopicTrackingState
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2013-05-24 06:58:26 -04:00
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include ActiveModel::SerializerSupport
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2021-09-08 21:16:53 -04:00
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include TopicTrackingStatePublishable
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2013-05-24 06:58:26 -04:00
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2020-04-30 02:48:34 -04:00
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UNREAD_MESSAGE_TYPE = "unread"
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LATEST_MESSAGE_TYPE = "latest"
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MUTED_MESSAGE_TYPE = "muted"
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2020-12-10 00:49:05 -05:00
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UNMUTED_MESSAGE_TYPE = "unmuted"
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DEV: Topic tracking state improvements (#13218)
I merged this PR in yesterday, finally thinking this was done https://github.com/discourse/discourse/pull/12958 but then a wild performance regression occurred. These are the problem methods:
https://github.com/discourse/discourse/blob/1aa20bd681e634f7fff22953ed62d90c2573b331/app/serializers/topic_tracking_state_serializer.rb#L13-L21
Turns out date comparison is super expensive on the backend _as well as_ the frontend.
The fix was to just move the `treat_as_new_topic_start_date` into the SQL query rather than using the slower `UserOption#treat_as_new_topic_start_date` method in ruby. After this change, 1% of the total time is spent with the `created_in_new_period` comparison instead of ~20%.
----
History:
Original PR which had to be reverted **https://github.com/discourse/discourse/pull/12555**. See the description there for what this PR is achieving, plus below.
The issue with the original PR is addressed in https://github.com/discourse/discourse/pull/12958/commits/92ef54f4020111ffacb0f2a27da5d5c2855f9d5d
If you went to the `x unread` link for a tag Chrome would freeze up and possibly crash, or eventually unfreeze after nearly 10 mins. Other routes for unread/new were similarly slow. From profiling the issue was the `sync` function of `topic-tracking-state.js`, which calls down to `isNew` which in turn calls `moment`, a change I had made in the PR above. The time it takes locally with ~1400 topics in the tracking state is 2.3 seconds.
To solve this issue, I have moved these calculations for "created in new period" and "unread not too old" into the tracking state serializer.
When I was looking at the profiler I also noticed this issue which was just compounding the problem. Every time we modify topic tracking state we recalculate the sidebar tracking/everything/tag counts. However this calls `forEachTracked` and `countTags` which can be quite expensive as they go through the whole tracking state (and were also calling the removed moment functions).
I added some logs and this was being called 30 times when navigating to a new /unread route because `sync` is being called from `build-topic-route` (one for each topic loaded due to pagination). So I just added a debounce here and it makes things even faster.
Finally, I changed topic tracking state to use a Map so our counts of the state keys is faster (Maps have .size whereas objects you have to do Object.keys(obj) which is O(n).)
<!-- NOTE: All pull requests should have tests (rspec in Ruby, qunit in JavaScript). If your code does not include test coverage, please include an explanation of why it was omitted. -->
2021-06-01 19:06:29 -04:00
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NEW_TOPIC_MESSAGE_TYPE = "new_topic"
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RECOVER_MESSAGE_TYPE = "recover"
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DELETE_MESSAGE_TYPE = "delete"
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DESTROY_MESSAGE_TYPE = "destroy"
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READ_MESSAGE_TYPE = "read"
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DISMISS_NEW_MESSAGE_TYPE = "dismiss_new"
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MAX_TOPICS = 5000
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2013-05-21 02:39:51 -04:00
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2013-05-29 04:11:04 -04:00
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def self.publish_new(topic)
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2018-03-05 03:18:23 -05:00
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return unless topic.regular?
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2013-05-29 04:11:04 -04:00
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DEV: Topic tracking state improvements (#13218)
I merged this PR in yesterday, finally thinking this was done https://github.com/discourse/discourse/pull/12958 but then a wild performance regression occurred. These are the problem methods:
https://github.com/discourse/discourse/blob/1aa20bd681e634f7fff22953ed62d90c2573b331/app/serializers/topic_tracking_state_serializer.rb#L13-L21
Turns out date comparison is super expensive on the backend _as well as_ the frontend.
The fix was to just move the `treat_as_new_topic_start_date` into the SQL query rather than using the slower `UserOption#treat_as_new_topic_start_date` method in ruby. After this change, 1% of the total time is spent with the `created_in_new_period` comparison instead of ~20%.
----
History:
Original PR which had to be reverted **https://github.com/discourse/discourse/pull/12555**. See the description there for what this PR is achieving, plus below.
The issue with the original PR is addressed in https://github.com/discourse/discourse/pull/12958/commits/92ef54f4020111ffacb0f2a27da5d5c2855f9d5d
If you went to the `x unread` link for a tag Chrome would freeze up and possibly crash, or eventually unfreeze after nearly 10 mins. Other routes for unread/new were similarly slow. From profiling the issue was the `sync` function of `topic-tracking-state.js`, which calls down to `isNew` which in turn calls `moment`, a change I had made in the PR above. The time it takes locally with ~1400 topics in the tracking state is 2.3 seconds.
To solve this issue, I have moved these calculations for "created in new period" and "unread not too old" into the tracking state serializer.
When I was looking at the profiler I also noticed this issue which was just compounding the problem. Every time we modify topic tracking state we recalculate the sidebar tracking/everything/tag counts. However this calls `forEachTracked` and `countTags` which can be quite expensive as they go through the whole tracking state (and were also calling the removed moment functions).
I added some logs and this was being called 30 times when navigating to a new /unread route because `sync` is being called from `build-topic-route` (one for each topic loaded due to pagination). So I just added a debounce here and it makes things even faster.
Finally, I changed topic tracking state to use a Map so our counts of the state keys is faster (Maps have .size whereas objects you have to do Object.keys(obj) which is O(n).)
<!-- NOTE: All pull requests should have tests (rspec in Ruby, qunit in JavaScript). If your code does not include test coverage, please include an explanation of why it was omitted. -->
2021-06-01 19:06:29 -04:00
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tag_ids, tags = nil
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2020-06-12 02:20:07 -04:00
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if SiteSetting.tagging_enabled
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DEV: Topic tracking state improvements (#13218)
I merged this PR in yesterday, finally thinking this was done https://github.com/discourse/discourse/pull/12958 but then a wild performance regression occurred. These are the problem methods:
https://github.com/discourse/discourse/blob/1aa20bd681e634f7fff22953ed62d90c2573b331/app/serializers/topic_tracking_state_serializer.rb#L13-L21
Turns out date comparison is super expensive on the backend _as well as_ the frontend.
The fix was to just move the `treat_as_new_topic_start_date` into the SQL query rather than using the slower `UserOption#treat_as_new_topic_start_date` method in ruby. After this change, 1% of the total time is spent with the `created_in_new_period` comparison instead of ~20%.
----
History:
Original PR which had to be reverted **https://github.com/discourse/discourse/pull/12555**. See the description there for what this PR is achieving, plus below.
The issue with the original PR is addressed in https://github.com/discourse/discourse/pull/12958/commits/92ef54f4020111ffacb0f2a27da5d5c2855f9d5d
If you went to the `x unread` link for a tag Chrome would freeze up and possibly crash, or eventually unfreeze after nearly 10 mins. Other routes for unread/new were similarly slow. From profiling the issue was the `sync` function of `topic-tracking-state.js`, which calls down to `isNew` which in turn calls `moment`, a change I had made in the PR above. The time it takes locally with ~1400 topics in the tracking state is 2.3 seconds.
To solve this issue, I have moved these calculations for "created in new period" and "unread not too old" into the tracking state serializer.
When I was looking at the profiler I also noticed this issue which was just compounding the problem. Every time we modify topic tracking state we recalculate the sidebar tracking/everything/tag counts. However this calls `forEachTracked` and `countTags` which can be quite expensive as they go through the whole tracking state (and were also calling the removed moment functions).
I added some logs and this was being called 30 times when navigating to a new /unread route because `sync` is being called from `build-topic-route` (one for each topic loaded due to pagination). So I just added a debounce here and it makes things even faster.
Finally, I changed topic tracking state to use a Map so our counts of the state keys is faster (Maps have .size whereas objects you have to do Object.keys(obj) which is O(n).)
<!-- NOTE: All pull requests should have tests (rspec in Ruby, qunit in JavaScript). If your code does not include test coverage, please include an explanation of why it was omitted. -->
2021-06-01 19:06:29 -04:00
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tag_ids, tags = topic.tags.pluck(:id, :name).transpose
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2020-06-12 02:20:07 -04:00
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end
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payload = {
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last_read_post_number: nil,
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highest_post_number: 1,
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created_at: topic.created_at,
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category_id: topic.category_id,
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archetype: topic.archetype,
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DEV: Topic tracking state improvements (#13218)
I merged this PR in yesterday, finally thinking this was done https://github.com/discourse/discourse/pull/12958 but then a wild performance regression occurred. These are the problem methods:
https://github.com/discourse/discourse/blob/1aa20bd681e634f7fff22953ed62d90c2573b331/app/serializers/topic_tracking_state_serializer.rb#L13-L21
Turns out date comparison is super expensive on the backend _as well as_ the frontend.
The fix was to just move the `treat_as_new_topic_start_date` into the SQL query rather than using the slower `UserOption#treat_as_new_topic_start_date` method in ruby. After this change, 1% of the total time is spent with the `created_in_new_period` comparison instead of ~20%.
----
History:
Original PR which had to be reverted **https://github.com/discourse/discourse/pull/12555**. See the description there for what this PR is achieving, plus below.
The issue with the original PR is addressed in https://github.com/discourse/discourse/pull/12958/commits/92ef54f4020111ffacb0f2a27da5d5c2855f9d5d
If you went to the `x unread` link for a tag Chrome would freeze up and possibly crash, or eventually unfreeze after nearly 10 mins. Other routes for unread/new were similarly slow. From profiling the issue was the `sync` function of `topic-tracking-state.js`, which calls down to `isNew` which in turn calls `moment`, a change I had made in the PR above. The time it takes locally with ~1400 topics in the tracking state is 2.3 seconds.
To solve this issue, I have moved these calculations for "created in new period" and "unread not too old" into the tracking state serializer.
When I was looking at the profiler I also noticed this issue which was just compounding the problem. Every time we modify topic tracking state we recalculate the sidebar tracking/everything/tag counts. However this calls `forEachTracked` and `countTags` which can be quite expensive as they go through the whole tracking state (and were also calling the removed moment functions).
I added some logs and this was being called 30 times when navigating to a new /unread route because `sync` is being called from `build-topic-route` (one for each topic loaded due to pagination). So I just added a debounce here and it makes things even faster.
Finally, I changed topic tracking state to use a Map so our counts of the state keys is faster (Maps have .size whereas objects you have to do Object.keys(obj) which is O(n).)
<!-- NOTE: All pull requests should have tests (rspec in Ruby, qunit in JavaScript). If your code does not include test coverage, please include an explanation of why it was omitted. -->
2021-06-01 19:06:29 -04:00
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created_in_new_period: true
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2020-06-12 02:20:07 -04:00
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}
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if tags
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payload[:tags] = tags
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payload[:topic_tag_ids] = tag_ids
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end
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2013-05-29 04:11:04 -04:00
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message = {
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topic_id: topic.id,
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DEV: Topic tracking state improvements (#13218)
I merged this PR in yesterday, finally thinking this was done https://github.com/discourse/discourse/pull/12958 but then a wild performance regression occurred. These are the problem methods:
https://github.com/discourse/discourse/blob/1aa20bd681e634f7fff22953ed62d90c2573b331/app/serializers/topic_tracking_state_serializer.rb#L13-L21
Turns out date comparison is super expensive on the backend _as well as_ the frontend.
The fix was to just move the `treat_as_new_topic_start_date` into the SQL query rather than using the slower `UserOption#treat_as_new_topic_start_date` method in ruby. After this change, 1% of the total time is spent with the `created_in_new_period` comparison instead of ~20%.
----
History:
Original PR which had to be reverted **https://github.com/discourse/discourse/pull/12555**. See the description there for what this PR is achieving, plus below.
The issue with the original PR is addressed in https://github.com/discourse/discourse/pull/12958/commits/92ef54f4020111ffacb0f2a27da5d5c2855f9d5d
If you went to the `x unread` link for a tag Chrome would freeze up and possibly crash, or eventually unfreeze after nearly 10 mins. Other routes for unread/new were similarly slow. From profiling the issue was the `sync` function of `topic-tracking-state.js`, which calls down to `isNew` which in turn calls `moment`, a change I had made in the PR above. The time it takes locally with ~1400 topics in the tracking state is 2.3 seconds.
To solve this issue, I have moved these calculations for "created in new period" and "unread not too old" into the tracking state serializer.
When I was looking at the profiler I also noticed this issue which was just compounding the problem. Every time we modify topic tracking state we recalculate the sidebar tracking/everything/tag counts. However this calls `forEachTracked` and `countTags` which can be quite expensive as they go through the whole tracking state (and were also calling the removed moment functions).
I added some logs and this was being called 30 times when navigating to a new /unread route because `sync` is being called from `build-topic-route` (one for each topic loaded due to pagination). So I just added a debounce here and it makes things even faster.
Finally, I changed topic tracking state to use a Map so our counts of the state keys is faster (Maps have .size whereas objects you have to do Object.keys(obj) which is O(n).)
<!-- NOTE: All pull requests should have tests (rspec in Ruby, qunit in JavaScript). If your code does not include test coverage, please include an explanation of why it was omitted. -->
2021-06-01 19:06:29 -04:00
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message_type: NEW_TOPIC_MESSAGE_TYPE,
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2020-06-12 02:20:07 -04:00
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payload: payload
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2013-05-29 04:11:04 -04:00
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}
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group_ids = topic.category && topic.category.secure_group_ids
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2015-05-03 22:21:00 -04:00
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MessageBus.publish("/new", message.as_json, group_ids: group_ids)
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2021-09-07 23:55:12 -04:00
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publish_read(topic.id, 1, topic.user)
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2013-05-29 04:11:04 -04:00
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end
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2016-12-02 01:03:31 -05:00
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def self.publish_latest(topic, staff_only = false)
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2018-03-05 03:18:23 -05:00
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return unless topic.regular?
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2014-08-04 23:27:34 -04:00
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DEV: Topic tracking state improvements (#13218)
I merged this PR in yesterday, finally thinking this was done https://github.com/discourse/discourse/pull/12958 but then a wild performance regression occurred. These are the problem methods:
https://github.com/discourse/discourse/blob/1aa20bd681e634f7fff22953ed62d90c2573b331/app/serializers/topic_tracking_state_serializer.rb#L13-L21
Turns out date comparison is super expensive on the backend _as well as_ the frontend.
The fix was to just move the `treat_as_new_topic_start_date` into the SQL query rather than using the slower `UserOption#treat_as_new_topic_start_date` method in ruby. After this change, 1% of the total time is spent with the `created_in_new_period` comparison instead of ~20%.
----
History:
Original PR which had to be reverted **https://github.com/discourse/discourse/pull/12555**. See the description there for what this PR is achieving, plus below.
The issue with the original PR is addressed in https://github.com/discourse/discourse/pull/12958/commits/92ef54f4020111ffacb0f2a27da5d5c2855f9d5d
If you went to the `x unread` link for a tag Chrome would freeze up and possibly crash, or eventually unfreeze after nearly 10 mins. Other routes for unread/new were similarly slow. From profiling the issue was the `sync` function of `topic-tracking-state.js`, which calls down to `isNew` which in turn calls `moment`, a change I had made in the PR above. The time it takes locally with ~1400 topics in the tracking state is 2.3 seconds.
To solve this issue, I have moved these calculations for "created in new period" and "unread not too old" into the tracking state serializer.
When I was looking at the profiler I also noticed this issue which was just compounding the problem. Every time we modify topic tracking state we recalculate the sidebar tracking/everything/tag counts. However this calls `forEachTracked` and `countTags` which can be quite expensive as they go through the whole tracking state (and were also calling the removed moment functions).
I added some logs and this was being called 30 times when navigating to a new /unread route because `sync` is being called from `build-topic-route` (one for each topic loaded due to pagination). So I just added a debounce here and it makes things even faster.
Finally, I changed topic tracking state to use a Map so our counts of the state keys is faster (Maps have .size whereas objects you have to do Object.keys(obj) which is O(n).)
<!-- NOTE: All pull requests should have tests (rspec in Ruby, qunit in JavaScript). If your code does not include test coverage, please include an explanation of why it was omitted. -->
2021-06-01 19:06:29 -04:00
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tag_ids, tags = nil
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if SiteSetting.tagging_enabled
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tag_ids, tags = topic.tags.pluck(:id, :name).transpose
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end
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2014-08-04 23:27:34 -04:00
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message = {
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topic_id: topic.id,
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2018-03-05 03:18:23 -05:00
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message_type: LATEST_MESSAGE_TYPE,
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2014-08-04 23:27:34 -04:00
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payload: {
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bumped_at: topic.bumped_at,
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2016-03-29 20:17:52 -04:00
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category_id: topic.category_id,
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DEV: Topic tracking state improvements (#13218)
I merged this PR in yesterday, finally thinking this was done https://github.com/discourse/discourse/pull/12958 but then a wild performance regression occurred. These are the problem methods:
https://github.com/discourse/discourse/blob/1aa20bd681e634f7fff22953ed62d90c2573b331/app/serializers/topic_tracking_state_serializer.rb#L13-L21
Turns out date comparison is super expensive on the backend _as well as_ the frontend.
The fix was to just move the `treat_as_new_topic_start_date` into the SQL query rather than using the slower `UserOption#treat_as_new_topic_start_date` method in ruby. After this change, 1% of the total time is spent with the `created_in_new_period` comparison instead of ~20%.
----
History:
Original PR which had to be reverted **https://github.com/discourse/discourse/pull/12555**. See the description there for what this PR is achieving, plus below.
The issue with the original PR is addressed in https://github.com/discourse/discourse/pull/12958/commits/92ef54f4020111ffacb0f2a27da5d5c2855f9d5d
If you went to the `x unread` link for a tag Chrome would freeze up and possibly crash, or eventually unfreeze after nearly 10 mins. Other routes for unread/new were similarly slow. From profiling the issue was the `sync` function of `topic-tracking-state.js`, which calls down to `isNew` which in turn calls `moment`, a change I had made in the PR above. The time it takes locally with ~1400 topics in the tracking state is 2.3 seconds.
To solve this issue, I have moved these calculations for "created in new period" and "unread not too old" into the tracking state serializer.
When I was looking at the profiler I also noticed this issue which was just compounding the problem. Every time we modify topic tracking state we recalculate the sidebar tracking/everything/tag counts. However this calls `forEachTracked` and `countTags` which can be quite expensive as they go through the whole tracking state (and were also calling the removed moment functions).
I added some logs and this was being called 30 times when navigating to a new /unread route because `sync` is being called from `build-topic-route` (one for each topic loaded due to pagination). So I just added a debounce here and it makes things even faster.
Finally, I changed topic tracking state to use a Map so our counts of the state keys is faster (Maps have .size whereas objects you have to do Object.keys(obj) which is O(n).)
<!-- NOTE: All pull requests should have tests (rspec in Ruby, qunit in JavaScript). If your code does not include test coverage, please include an explanation of why it was omitted. -->
2021-06-01 19:06:29 -04:00
|
|
|
archetype: topic.archetype
|
2014-08-04 23:27:34 -04:00
|
|
|
}
|
|
|
|
}
|
|
|
|
|
DEV: Topic tracking state improvements (#13218)
I merged this PR in yesterday, finally thinking this was done https://github.com/discourse/discourse/pull/12958 but then a wild performance regression occurred. These are the problem methods:
https://github.com/discourse/discourse/blob/1aa20bd681e634f7fff22953ed62d90c2573b331/app/serializers/topic_tracking_state_serializer.rb#L13-L21
Turns out date comparison is super expensive on the backend _as well as_ the frontend.
The fix was to just move the `treat_as_new_topic_start_date` into the SQL query rather than using the slower `UserOption#treat_as_new_topic_start_date` method in ruby. After this change, 1% of the total time is spent with the `created_in_new_period` comparison instead of ~20%.
----
History:
Original PR which had to be reverted **https://github.com/discourse/discourse/pull/12555**. See the description there for what this PR is achieving, plus below.
The issue with the original PR is addressed in https://github.com/discourse/discourse/pull/12958/commits/92ef54f4020111ffacb0f2a27da5d5c2855f9d5d
If you went to the `x unread` link for a tag Chrome would freeze up and possibly crash, or eventually unfreeze after nearly 10 mins. Other routes for unread/new were similarly slow. From profiling the issue was the `sync` function of `topic-tracking-state.js`, which calls down to `isNew` which in turn calls `moment`, a change I had made in the PR above. The time it takes locally with ~1400 topics in the tracking state is 2.3 seconds.
To solve this issue, I have moved these calculations for "created in new period" and "unread not too old" into the tracking state serializer.
When I was looking at the profiler I also noticed this issue which was just compounding the problem. Every time we modify topic tracking state we recalculate the sidebar tracking/everything/tag counts. However this calls `forEachTracked` and `countTags` which can be quite expensive as they go through the whole tracking state (and were also calling the removed moment functions).
I added some logs and this was being called 30 times when navigating to a new /unread route because `sync` is being called from `build-topic-route` (one for each topic loaded due to pagination). So I just added a debounce here and it makes things even faster.
Finally, I changed topic tracking state to use a Map so our counts of the state keys is faster (Maps have .size whereas objects you have to do Object.keys(obj) which is O(n).)
<!-- NOTE: All pull requests should have tests (rspec in Ruby, qunit in JavaScript). If your code does not include test coverage, please include an explanation of why it was omitted. -->
2021-06-01 19:06:29 -04:00
|
|
|
if tags
|
|
|
|
message[:payload][:tags] = tags
|
|
|
|
message[:payload][:topic_tag_ids] = tag_ids
|
|
|
|
end
|
|
|
|
|
2016-12-02 01:03:31 -05:00
|
|
|
group_ids =
|
|
|
|
if staff_only
|
|
|
|
[Group::AUTO_GROUPS[:staff]]
|
|
|
|
else
|
|
|
|
topic.category && topic.category.secure_group_ids
|
|
|
|
end
|
2015-05-03 22:21:00 -04:00
|
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|
MessageBus.publish("/latest", message.as_json, group_ids: group_ids)
|
2014-08-04 23:27:34 -04:00
|
|
|
end
|
|
|
|
|
2018-03-05 03:18:23 -05:00
|
|
|
def self.unread_channel_key(user_id)
|
|
|
|
"/unread/#{user_id}"
|
|
|
|
end
|
|
|
|
|
2020-04-30 18:33:57 -04:00
|
|
|
def self.publish_muted(topic)
|
|
|
|
user_ids = topic.topic_users
|
2020-04-23 00:57:35 -04:00
|
|
|
.where(notification_level: NotificationLevels.all[:muted])
|
|
|
|
.joins(:user)
|
|
|
|
.where("users.last_seen_at > ?", 7.days.ago)
|
|
|
|
.order("users.last_seen_at DESC")
|
|
|
|
.limit(100)
|
|
|
|
.pluck(:user_id)
|
|
|
|
return if user_ids.blank?
|
|
|
|
message = {
|
2020-04-30 18:33:57 -04:00
|
|
|
topic_id: topic.id,
|
2020-04-23 00:57:35 -04:00
|
|
|
message_type: MUTED_MESSAGE_TYPE,
|
|
|
|
}
|
|
|
|
MessageBus.publish("/latest", message.as_json, user_ids: user_ids)
|
|
|
|
end
|
|
|
|
|
2020-12-10 00:49:05 -05:00
|
|
|
def self.publish_unmuted(topic)
|
|
|
|
return if !SiteSetting.mute_all_categories_by_default
|
2020-12-15 17:30:21 -05:00
|
|
|
user_ids = User.watching_topic_when_mute_categories_by_default(topic)
|
2020-12-10 00:49:05 -05:00
|
|
|
.where("users.last_seen_at > ?", 7.days.ago)
|
|
|
|
.order("users.last_seen_at DESC")
|
|
|
|
.limit(100)
|
|
|
|
.pluck(:id)
|
|
|
|
return if user_ids.blank?
|
|
|
|
message = {
|
|
|
|
topic_id: topic.id,
|
|
|
|
message_type: UNMUTED_MESSAGE_TYPE,
|
|
|
|
}
|
|
|
|
MessageBus.publish("/latest", message.as_json, user_ids: user_ids)
|
|
|
|
end
|
|
|
|
|
2013-05-29 04:11:04 -04:00
|
|
|
def self.publish_unread(post)
|
2018-03-05 03:18:23 -05:00
|
|
|
return unless post.topic.regular?
|
2013-05-29 04:11:04 -04:00
|
|
|
# TODO at high scale we are going to have to defer this,
|
|
|
|
# perhaps cut down to users that are around in the last 7 days as well
|
2021-08-10 23:01:13 -04:00
|
|
|
tags = nil
|
|
|
|
tag_ids = nil
|
|
|
|
if include_tags_in_report?
|
|
|
|
tag_ids, tags = post.topic.tags.pluck(:id, :name).transpose
|
|
|
|
end
|
|
|
|
|
|
|
|
scope = TopicUser
|
|
|
|
.tracking(post.topic_id)
|
|
|
|
.includes(user: :user_stat)
|
2016-12-02 01:03:31 -05:00
|
|
|
|
|
|
|
group_ids =
|
|
|
|
if post.post_type == Post.types[:whisper]
|
|
|
|
[Group::AUTO_GROUPS[:staff]]
|
|
|
|
else
|
|
|
|
post.topic.category && post.topic.category.secure_group_ids
|
|
|
|
end
|
2013-05-29 04:11:04 -04:00
|
|
|
|
2021-08-10 23:01:13 -04:00
|
|
|
if group_ids.present?
|
|
|
|
scope = scope
|
|
|
|
.joins("INNER JOIN group_users gu ON gu.user_id = topic_users.user_id")
|
|
|
|
.where("gu.group_id IN (?)", group_ids)
|
2020-06-12 02:20:07 -04:00
|
|
|
end
|
|
|
|
|
2022-02-22 10:27:46 -05:00
|
|
|
user_ids = scope.pluck(:user_id)
|
|
|
|
return if user_ids.empty?
|
2020-06-12 02:20:07 -04:00
|
|
|
|
2022-02-22 10:27:46 -05:00
|
|
|
payload = {
|
|
|
|
highest_post_number: post.post_number,
|
|
|
|
updated_at: post.topic.updated_at,
|
|
|
|
created_at: post.created_at,
|
|
|
|
category_id: post.topic.category_id,
|
|
|
|
archetype: post.topic.archetype,
|
|
|
|
unread_not_too_old: true
|
|
|
|
}
|
2013-05-29 04:11:04 -04:00
|
|
|
|
2022-02-22 10:27:46 -05:00
|
|
|
if tags
|
|
|
|
payload[:tags] = tags
|
|
|
|
payload[:topic_tag_ids] = tag_ids
|
2013-05-21 02:39:51 -04:00
|
|
|
end
|
2013-11-25 01:37:51 -05:00
|
|
|
|
2022-02-22 10:27:46 -05:00
|
|
|
message = {
|
|
|
|
topic_id: post.topic_id,
|
|
|
|
message_type: UNREAD_MESSAGE_TYPE,
|
|
|
|
payload: payload
|
|
|
|
}
|
|
|
|
|
|
|
|
MessageBus.publish("/unread", message.as_json,
|
|
|
|
user_ids: user_ids
|
|
|
|
)
|
2013-05-21 02:39:51 -04:00
|
|
|
end
|
|
|
|
|
2016-03-29 20:17:52 -04:00
|
|
|
def self.publish_recover(topic)
|
|
|
|
group_ids = topic.category && topic.category.secure_group_ids
|
|
|
|
|
|
|
|
message = {
|
|
|
|
topic_id: topic.id,
|
DEV: Topic tracking state improvements (#13218)
I merged this PR in yesterday, finally thinking this was done https://github.com/discourse/discourse/pull/12958 but then a wild performance regression occurred. These are the problem methods:
https://github.com/discourse/discourse/blob/1aa20bd681e634f7fff22953ed62d90c2573b331/app/serializers/topic_tracking_state_serializer.rb#L13-L21
Turns out date comparison is super expensive on the backend _as well as_ the frontend.
The fix was to just move the `treat_as_new_topic_start_date` into the SQL query rather than using the slower `UserOption#treat_as_new_topic_start_date` method in ruby. After this change, 1% of the total time is spent with the `created_in_new_period` comparison instead of ~20%.
----
History:
Original PR which had to be reverted **https://github.com/discourse/discourse/pull/12555**. See the description there for what this PR is achieving, plus below.
The issue with the original PR is addressed in https://github.com/discourse/discourse/pull/12958/commits/92ef54f4020111ffacb0f2a27da5d5c2855f9d5d
If you went to the `x unread` link for a tag Chrome would freeze up and possibly crash, or eventually unfreeze after nearly 10 mins. Other routes for unread/new were similarly slow. From profiling the issue was the `sync` function of `topic-tracking-state.js`, which calls down to `isNew` which in turn calls `moment`, a change I had made in the PR above. The time it takes locally with ~1400 topics in the tracking state is 2.3 seconds.
To solve this issue, I have moved these calculations for "created in new period" and "unread not too old" into the tracking state serializer.
When I was looking at the profiler I also noticed this issue which was just compounding the problem. Every time we modify topic tracking state we recalculate the sidebar tracking/everything/tag counts. However this calls `forEachTracked` and `countTags` which can be quite expensive as they go through the whole tracking state (and were also calling the removed moment functions).
I added some logs and this was being called 30 times when navigating to a new /unread route because `sync` is being called from `build-topic-route` (one for each topic loaded due to pagination). So I just added a debounce here and it makes things even faster.
Finally, I changed topic tracking state to use a Map so our counts of the state keys is faster (Maps have .size whereas objects you have to do Object.keys(obj) which is O(n).)
<!-- NOTE: All pull requests should have tests (rspec in Ruby, qunit in JavaScript). If your code does not include test coverage, please include an explanation of why it was omitted. -->
2021-06-01 19:06:29 -04:00
|
|
|
message_type: RECOVER_MESSAGE_TYPE
|
2016-03-29 20:17:52 -04:00
|
|
|
}
|
|
|
|
|
|
|
|
MessageBus.publish("/recover", message.as_json, group_ids: group_ids)
|
|
|
|
|
|
|
|
end
|
|
|
|
|
|
|
|
def self.publish_delete(topic)
|
|
|
|
group_ids = topic.category && topic.category.secure_group_ids
|
|
|
|
|
|
|
|
message = {
|
|
|
|
topic_id: topic.id,
|
DEV: Topic tracking state improvements (#13218)
I merged this PR in yesterday, finally thinking this was done https://github.com/discourse/discourse/pull/12958 but then a wild performance regression occurred. These are the problem methods:
https://github.com/discourse/discourse/blob/1aa20bd681e634f7fff22953ed62d90c2573b331/app/serializers/topic_tracking_state_serializer.rb#L13-L21
Turns out date comparison is super expensive on the backend _as well as_ the frontend.
The fix was to just move the `treat_as_new_topic_start_date` into the SQL query rather than using the slower `UserOption#treat_as_new_topic_start_date` method in ruby. After this change, 1% of the total time is spent with the `created_in_new_period` comparison instead of ~20%.
----
History:
Original PR which had to be reverted **https://github.com/discourse/discourse/pull/12555**. See the description there for what this PR is achieving, plus below.
The issue with the original PR is addressed in https://github.com/discourse/discourse/pull/12958/commits/92ef54f4020111ffacb0f2a27da5d5c2855f9d5d
If you went to the `x unread` link for a tag Chrome would freeze up and possibly crash, or eventually unfreeze after nearly 10 mins. Other routes for unread/new were similarly slow. From profiling the issue was the `sync` function of `topic-tracking-state.js`, which calls down to `isNew` which in turn calls `moment`, a change I had made in the PR above. The time it takes locally with ~1400 topics in the tracking state is 2.3 seconds.
To solve this issue, I have moved these calculations for "created in new period" and "unread not too old" into the tracking state serializer.
When I was looking at the profiler I also noticed this issue which was just compounding the problem. Every time we modify topic tracking state we recalculate the sidebar tracking/everything/tag counts. However this calls `forEachTracked` and `countTags` which can be quite expensive as they go through the whole tracking state (and were also calling the removed moment functions).
I added some logs and this was being called 30 times when navigating to a new /unread route because `sync` is being called from `build-topic-route` (one for each topic loaded due to pagination). So I just added a debounce here and it makes things even faster.
Finally, I changed topic tracking state to use a Map so our counts of the state keys is faster (Maps have .size whereas objects you have to do Object.keys(obj) which is O(n).)
<!-- NOTE: All pull requests should have tests (rspec in Ruby, qunit in JavaScript). If your code does not include test coverage, please include an explanation of why it was omitted. -->
2021-06-01 19:06:29 -04:00
|
|
|
message_type: DELETE_MESSAGE_TYPE
|
2016-03-29 20:17:52 -04:00
|
|
|
}
|
|
|
|
|
|
|
|
MessageBus.publish("/delete", message.as_json, group_ids: group_ids)
|
|
|
|
end
|
|
|
|
|
2020-11-09 23:40:48 -05:00
|
|
|
def self.publish_destroy(topic)
|
|
|
|
group_ids = topic.category && topic.category.secure_group_ids
|
|
|
|
|
|
|
|
message = {
|
|
|
|
topic_id: topic.id,
|
DEV: Topic tracking state improvements (#13218)
I merged this PR in yesterday, finally thinking this was done https://github.com/discourse/discourse/pull/12958 but then a wild performance regression occurred. These are the problem methods:
https://github.com/discourse/discourse/blob/1aa20bd681e634f7fff22953ed62d90c2573b331/app/serializers/topic_tracking_state_serializer.rb#L13-L21
Turns out date comparison is super expensive on the backend _as well as_ the frontend.
The fix was to just move the `treat_as_new_topic_start_date` into the SQL query rather than using the slower `UserOption#treat_as_new_topic_start_date` method in ruby. After this change, 1% of the total time is spent with the `created_in_new_period` comparison instead of ~20%.
----
History:
Original PR which had to be reverted **https://github.com/discourse/discourse/pull/12555**. See the description there for what this PR is achieving, plus below.
The issue with the original PR is addressed in https://github.com/discourse/discourse/pull/12958/commits/92ef54f4020111ffacb0f2a27da5d5c2855f9d5d
If you went to the `x unread` link for a tag Chrome would freeze up and possibly crash, or eventually unfreeze after nearly 10 mins. Other routes for unread/new were similarly slow. From profiling the issue was the `sync` function of `topic-tracking-state.js`, which calls down to `isNew` which in turn calls `moment`, a change I had made in the PR above. The time it takes locally with ~1400 topics in the tracking state is 2.3 seconds.
To solve this issue, I have moved these calculations for "created in new period" and "unread not too old" into the tracking state serializer.
When I was looking at the profiler I also noticed this issue which was just compounding the problem. Every time we modify topic tracking state we recalculate the sidebar tracking/everything/tag counts. However this calls `forEachTracked` and `countTags` which can be quite expensive as they go through the whole tracking state (and were also calling the removed moment functions).
I added some logs and this was being called 30 times when navigating to a new /unread route because `sync` is being called from `build-topic-route` (one for each topic loaded due to pagination). So I just added a debounce here and it makes things even faster.
Finally, I changed topic tracking state to use a Map so our counts of the state keys is faster (Maps have .size whereas objects you have to do Object.keys(obj) which is O(n).)
<!-- NOTE: All pull requests should have tests (rspec in Ruby, qunit in JavaScript). If your code does not include test coverage, please include an explanation of why it was omitted. -->
2021-06-01 19:06:29 -04:00
|
|
|
message_type: DESTROY_MESSAGE_TYPE
|
2020-11-09 23:40:48 -05:00
|
|
|
}
|
|
|
|
|
|
|
|
MessageBus.publish("/destroy", message.as_json, group_ids: group_ids)
|
|
|
|
end
|
|
|
|
|
2021-09-07 23:55:12 -04:00
|
|
|
def self.publish_read(topic_id, last_read_post_number, user, notification_level = nil)
|
2021-09-08 21:16:53 -04:00
|
|
|
self.publish_read_message(
|
DEV: Topic tracking state improvements (#13218)
I merged this PR in yesterday, finally thinking this was done https://github.com/discourse/discourse/pull/12958 but then a wild performance regression occurred. These are the problem methods:
https://github.com/discourse/discourse/blob/1aa20bd681e634f7fff22953ed62d90c2573b331/app/serializers/topic_tracking_state_serializer.rb#L13-L21
Turns out date comparison is super expensive on the backend _as well as_ the frontend.
The fix was to just move the `treat_as_new_topic_start_date` into the SQL query rather than using the slower `UserOption#treat_as_new_topic_start_date` method in ruby. After this change, 1% of the total time is spent with the `created_in_new_period` comparison instead of ~20%.
----
History:
Original PR which had to be reverted **https://github.com/discourse/discourse/pull/12555**. See the description there for what this PR is achieving, plus below.
The issue with the original PR is addressed in https://github.com/discourse/discourse/pull/12958/commits/92ef54f4020111ffacb0f2a27da5d5c2855f9d5d
If you went to the `x unread` link for a tag Chrome would freeze up and possibly crash, or eventually unfreeze after nearly 10 mins. Other routes for unread/new were similarly slow. From profiling the issue was the `sync` function of `topic-tracking-state.js`, which calls down to `isNew` which in turn calls `moment`, a change I had made in the PR above. The time it takes locally with ~1400 topics in the tracking state is 2.3 seconds.
To solve this issue, I have moved these calculations for "created in new period" and "unread not too old" into the tracking state serializer.
When I was looking at the profiler I also noticed this issue which was just compounding the problem. Every time we modify topic tracking state we recalculate the sidebar tracking/everything/tag counts. However this calls `forEachTracked` and `countTags` which can be quite expensive as they go through the whole tracking state (and were also calling the removed moment functions).
I added some logs and this was being called 30 times when navigating to a new /unread route because `sync` is being called from `build-topic-route` (one for each topic loaded due to pagination). So I just added a debounce here and it makes things even faster.
Finally, I changed topic tracking state to use a Map so our counts of the state keys is faster (Maps have .size whereas objects you have to do Object.keys(obj) which is O(n).)
<!-- NOTE: All pull requests should have tests (rspec in Ruby, qunit in JavaScript). If your code does not include test coverage, please include an explanation of why it was omitted. -->
2021-06-01 19:06:29 -04:00
|
|
|
message_type: READ_MESSAGE_TYPE,
|
2021-09-08 21:16:53 -04:00
|
|
|
channel_name: self.unread_channel_key(user.id),
|
|
|
|
topic_id: topic_id,
|
|
|
|
user: user,
|
|
|
|
last_read_post_number: last_read_post_number,
|
|
|
|
notification_level: notification_level
|
|
|
|
)
|
2013-05-21 02:39:51 -04:00
|
|
|
end
|
|
|
|
|
2021-02-14 16:50:33 -05:00
|
|
|
def self.publish_dismiss_new(user_id, topic_ids: [])
|
2019-11-24 14:17:31 -05:00
|
|
|
message = {
|
DEV: Topic tracking state improvements (#13218)
I merged this PR in yesterday, finally thinking this was done https://github.com/discourse/discourse/pull/12958 but then a wild performance regression occurred. These are the problem methods:
https://github.com/discourse/discourse/blob/1aa20bd681e634f7fff22953ed62d90c2573b331/app/serializers/topic_tracking_state_serializer.rb#L13-L21
Turns out date comparison is super expensive on the backend _as well as_ the frontend.
The fix was to just move the `treat_as_new_topic_start_date` into the SQL query rather than using the slower `UserOption#treat_as_new_topic_start_date` method in ruby. After this change, 1% of the total time is spent with the `created_in_new_period` comparison instead of ~20%.
----
History:
Original PR which had to be reverted **https://github.com/discourse/discourse/pull/12555**. See the description there for what this PR is achieving, plus below.
The issue with the original PR is addressed in https://github.com/discourse/discourse/pull/12958/commits/92ef54f4020111ffacb0f2a27da5d5c2855f9d5d
If you went to the `x unread` link for a tag Chrome would freeze up and possibly crash, or eventually unfreeze after nearly 10 mins. Other routes for unread/new were similarly slow. From profiling the issue was the `sync` function of `topic-tracking-state.js`, which calls down to `isNew` which in turn calls `moment`, a change I had made in the PR above. The time it takes locally with ~1400 topics in the tracking state is 2.3 seconds.
To solve this issue, I have moved these calculations for "created in new period" and "unread not too old" into the tracking state serializer.
When I was looking at the profiler I also noticed this issue which was just compounding the problem. Every time we modify topic tracking state we recalculate the sidebar tracking/everything/tag counts. However this calls `forEachTracked` and `countTags` which can be quite expensive as they go through the whole tracking state (and were also calling the removed moment functions).
I added some logs and this was being called 30 times when navigating to a new /unread route because `sync` is being called from `build-topic-route` (one for each topic loaded due to pagination). So I just added a debounce here and it makes things even faster.
Finally, I changed topic tracking state to use a Map so our counts of the state keys is faster (Maps have .size whereas objects you have to do Object.keys(obj) which is O(n).)
<!-- NOTE: All pull requests should have tests (rspec in Ruby, qunit in JavaScript). If your code does not include test coverage, please include an explanation of why it was omitted. -->
2021-06-01 19:06:29 -04:00
|
|
|
message_type: DISMISS_NEW_MESSAGE_TYPE,
|
2021-02-14 16:50:33 -05:00
|
|
|
payload: {
|
|
|
|
topic_ids: topic_ids
|
|
|
|
}
|
2019-11-24 14:17:31 -05:00
|
|
|
}
|
|
|
|
MessageBus.publish(self.unread_channel_key(user_id), message.as_json, user_ids: [user_id])
|
|
|
|
end
|
|
|
|
|
DEV: Topic tracking state improvements (#13218)
I merged this PR in yesterday, finally thinking this was done https://github.com/discourse/discourse/pull/12958 but then a wild performance regression occurred. These are the problem methods:
https://github.com/discourse/discourse/blob/1aa20bd681e634f7fff22953ed62d90c2573b331/app/serializers/topic_tracking_state_serializer.rb#L13-L21
Turns out date comparison is super expensive on the backend _as well as_ the frontend.
The fix was to just move the `treat_as_new_topic_start_date` into the SQL query rather than using the slower `UserOption#treat_as_new_topic_start_date` method in ruby. After this change, 1% of the total time is spent with the `created_in_new_period` comparison instead of ~20%.
----
History:
Original PR which had to be reverted **https://github.com/discourse/discourse/pull/12555**. See the description there for what this PR is achieving, plus below.
The issue with the original PR is addressed in https://github.com/discourse/discourse/pull/12958/commits/92ef54f4020111ffacb0f2a27da5d5c2855f9d5d
If you went to the `x unread` link for a tag Chrome would freeze up and possibly crash, or eventually unfreeze after nearly 10 mins. Other routes for unread/new were similarly slow. From profiling the issue was the `sync` function of `topic-tracking-state.js`, which calls down to `isNew` which in turn calls `moment`, a change I had made in the PR above. The time it takes locally with ~1400 topics in the tracking state is 2.3 seconds.
To solve this issue, I have moved these calculations for "created in new period" and "unread not too old" into the tracking state serializer.
When I was looking at the profiler I also noticed this issue which was just compounding the problem. Every time we modify topic tracking state we recalculate the sidebar tracking/everything/tag counts. However this calls `forEachTracked` and `countTags` which can be quite expensive as they go through the whole tracking state (and were also calling the removed moment functions).
I added some logs and this was being called 30 times when navigating to a new /unread route because `sync` is being called from `build-topic-route` (one for each topic loaded due to pagination). So I just added a debounce here and it makes things even faster.
Finally, I changed topic tracking state to use a Map so our counts of the state keys is faster (Maps have .size whereas objects you have to do Object.keys(obj) which is O(n).)
<!-- NOTE: All pull requests should have tests (rspec in Ruby, qunit in JavaScript). If your code does not include test coverage, please include an explanation of why it was omitted. -->
2021-06-01 19:06:29 -04:00
|
|
|
def self.new_filter_sql
|
|
|
|
TopicQuery.new_filter(
|
|
|
|
Topic, treat_as_new_topic_clause_sql: treat_as_new_topic_clause
|
|
|
|
).where_clause.ast.to_sql +
|
|
|
|
" AND topics.created_at > :min_new_topic_date" +
|
|
|
|
" AND dismissed_topic_users.id IS NULL"
|
|
|
|
end
|
|
|
|
|
|
|
|
def self.unread_filter_sql(staff: false)
|
|
|
|
TopicQuery.unread_filter(Topic, staff: staff).where_clause.ast.to_sql
|
|
|
|
end
|
|
|
|
|
2013-05-23 01:21:07 -04:00
|
|
|
def self.treat_as_new_topic_clause
|
2014-03-03 16:11:59 -05:00
|
|
|
User.where("GREATEST(CASE
|
2016-02-18 00:57:22 -05:00
|
|
|
WHEN COALESCE(uo.new_topic_duration_minutes, :default_duration) = :always THEN u.created_at
|
|
|
|
WHEN COALESCE(uo.new_topic_duration_minutes, :default_duration) = :last_visit THEN COALESCE(u.previous_visit_at,u.created_at)
|
|
|
|
ELSE (:now::timestamp - INTERVAL '1 MINUTE' * COALESCE(uo.new_topic_duration_minutes, :default_duration))
|
2021-02-14 16:50:33 -05:00
|
|
|
END, u.created_at, :min_date)",
|
DEV: Topic tracking state improvements (#13218)
I merged this PR in yesterday, finally thinking this was done https://github.com/discourse/discourse/pull/12958 but then a wild performance regression occurred. These are the problem methods:
https://github.com/discourse/discourse/blob/1aa20bd681e634f7fff22953ed62d90c2573b331/app/serializers/topic_tracking_state_serializer.rb#L13-L21
Turns out date comparison is super expensive on the backend _as well as_ the frontend.
The fix was to just move the `treat_as_new_topic_start_date` into the SQL query rather than using the slower `UserOption#treat_as_new_topic_start_date` method in ruby. After this change, 1% of the total time is spent with the `created_in_new_period` comparison instead of ~20%.
----
History:
Original PR which had to be reverted **https://github.com/discourse/discourse/pull/12555**. See the description there for what this PR is achieving, plus below.
The issue with the original PR is addressed in https://github.com/discourse/discourse/pull/12958/commits/92ef54f4020111ffacb0f2a27da5d5c2855f9d5d
If you went to the `x unread` link for a tag Chrome would freeze up and possibly crash, or eventually unfreeze after nearly 10 mins. Other routes for unread/new were similarly slow. From profiling the issue was the `sync` function of `topic-tracking-state.js`, which calls down to `isNew` which in turn calls `moment`, a change I had made in the PR above. The time it takes locally with ~1400 topics in the tracking state is 2.3 seconds.
To solve this issue, I have moved these calculations for "created in new period" and "unread not too old" into the tracking state serializer.
When I was looking at the profiler I also noticed this issue which was just compounding the problem. Every time we modify topic tracking state we recalculate the sidebar tracking/everything/tag counts. However this calls `forEachTracked` and `countTags` which can be quite expensive as they go through the whole tracking state (and were also calling the removed moment functions).
I added some logs and this was being called 30 times when navigating to a new /unread route because `sync` is being called from `build-topic-route` (one for each topic loaded due to pagination). So I just added a debounce here and it makes things even faster.
Finally, I changed topic tracking state to use a Map so our counts of the state keys is faster (Maps have .size whereas objects you have to do Object.keys(obj) which is O(n).)
<!-- NOTE: All pull requests should have tests (rspec in Ruby, qunit in JavaScript). If your code does not include test coverage, please include an explanation of why it was omitted. -->
2021-06-01 19:06:29 -04:00
|
|
|
treat_as_new_topic_params
|
2020-12-21 18:38:59 -05:00
|
|
|
).where_clause.ast.to_sql
|
2013-05-21 02:39:51 -04:00
|
|
|
end
|
|
|
|
|
DEV: Topic tracking state improvements (#13218)
I merged this PR in yesterday, finally thinking this was done https://github.com/discourse/discourse/pull/12958 but then a wild performance regression occurred. These are the problem methods:
https://github.com/discourse/discourse/blob/1aa20bd681e634f7fff22953ed62d90c2573b331/app/serializers/topic_tracking_state_serializer.rb#L13-L21
Turns out date comparison is super expensive on the backend _as well as_ the frontend.
The fix was to just move the `treat_as_new_topic_start_date` into the SQL query rather than using the slower `UserOption#treat_as_new_topic_start_date` method in ruby. After this change, 1% of the total time is spent with the `created_in_new_period` comparison instead of ~20%.
----
History:
Original PR which had to be reverted **https://github.com/discourse/discourse/pull/12555**. See the description there for what this PR is achieving, plus below.
The issue with the original PR is addressed in https://github.com/discourse/discourse/pull/12958/commits/92ef54f4020111ffacb0f2a27da5d5c2855f9d5d
If you went to the `x unread` link for a tag Chrome would freeze up and possibly crash, or eventually unfreeze after nearly 10 mins. Other routes for unread/new were similarly slow. From profiling the issue was the `sync` function of `topic-tracking-state.js`, which calls down to `isNew` which in turn calls `moment`, a change I had made in the PR above. The time it takes locally with ~1400 topics in the tracking state is 2.3 seconds.
To solve this issue, I have moved these calculations for "created in new period" and "unread not too old" into the tracking state serializer.
When I was looking at the profiler I also noticed this issue which was just compounding the problem. Every time we modify topic tracking state we recalculate the sidebar tracking/everything/tag counts. However this calls `forEachTracked` and `countTags` which can be quite expensive as they go through the whole tracking state (and were also calling the removed moment functions).
I added some logs and this was being called 30 times when navigating to a new /unread route because `sync` is being called from `build-topic-route` (one for each topic loaded due to pagination). So I just added a debounce here and it makes things even faster.
Finally, I changed topic tracking state to use a Map so our counts of the state keys is faster (Maps have .size whereas objects you have to do Object.keys(obj) which is O(n).)
<!-- NOTE: All pull requests should have tests (rspec in Ruby, qunit in JavaScript). If your code does not include test coverage, please include an explanation of why it was omitted. -->
2021-06-01 19:06:29 -04:00
|
|
|
def self.treat_as_new_topic_params
|
|
|
|
{
|
|
|
|
now: DateTime.now,
|
|
|
|
last_visit: User::NewTopicDuration::LAST_VISIT,
|
|
|
|
always: User::NewTopicDuration::ALWAYS,
|
|
|
|
default_duration: SiteSetting.default_other_new_topic_duration_minutes,
|
|
|
|
min_date: Time.at(SiteSetting.min_new_topics_time).to_datetime
|
|
|
|
}
|
|
|
|
end
|
|
|
|
|
2020-05-28 22:57:46 -04:00
|
|
|
def self.include_tags_in_report?
|
2021-03-10 21:13:15 -05:00
|
|
|
SiteSetting.tagging_enabled && @include_tags_in_report
|
2020-05-28 22:57:46 -04:00
|
|
|
end
|
|
|
|
|
|
|
|
def self.include_tags_in_report=(v)
|
|
|
|
@include_tags_in_report = v
|
|
|
|
end
|
|
|
|
|
DEV: Topic tracking state improvements (#13218)
I merged this PR in yesterday, finally thinking this was done https://github.com/discourse/discourse/pull/12958 but then a wild performance regression occurred. These are the problem methods:
https://github.com/discourse/discourse/blob/1aa20bd681e634f7fff22953ed62d90c2573b331/app/serializers/topic_tracking_state_serializer.rb#L13-L21
Turns out date comparison is super expensive on the backend _as well as_ the frontend.
The fix was to just move the `treat_as_new_topic_start_date` into the SQL query rather than using the slower `UserOption#treat_as_new_topic_start_date` method in ruby. After this change, 1% of the total time is spent with the `created_in_new_period` comparison instead of ~20%.
----
History:
Original PR which had to be reverted **https://github.com/discourse/discourse/pull/12555**. See the description there for what this PR is achieving, plus below.
The issue with the original PR is addressed in https://github.com/discourse/discourse/pull/12958/commits/92ef54f4020111ffacb0f2a27da5d5c2855f9d5d
If you went to the `x unread` link for a tag Chrome would freeze up and possibly crash, or eventually unfreeze after nearly 10 mins. Other routes for unread/new were similarly slow. From profiling the issue was the `sync` function of `topic-tracking-state.js`, which calls down to `isNew` which in turn calls `moment`, a change I had made in the PR above. The time it takes locally with ~1400 topics in the tracking state is 2.3 seconds.
To solve this issue, I have moved these calculations for "created in new period" and "unread not too old" into the tracking state serializer.
When I was looking at the profiler I also noticed this issue which was just compounding the problem. Every time we modify topic tracking state we recalculate the sidebar tracking/everything/tag counts. However this calls `forEachTracked` and `countTags` which can be quite expensive as they go through the whole tracking state (and were also calling the removed moment functions).
I added some logs and this was being called 30 times when navigating to a new /unread route because `sync` is being called from `build-topic-route` (one for each topic loaded due to pagination). So I just added a debounce here and it makes things even faster.
Finally, I changed topic tracking state to use a Map so our counts of the state keys is faster (Maps have .size whereas objects you have to do Object.keys(obj) which is O(n).)
<!-- NOTE: All pull requests should have tests (rspec in Ruby, qunit in JavaScript). If your code does not include test coverage, please include an explanation of why it was omitted. -->
2021-06-01 19:06:29 -04:00
|
|
|
# Sam: this is a hairy report, in particular I need custom joins and fancy conditions
|
|
|
|
# Dropping to sql_builder so I can make sense of it.
|
|
|
|
#
|
|
|
|
# Keep in mind, we need to be able to filter on a GROUP of users, and zero in on topic
|
|
|
|
# all our existing scope work does not do this
|
|
|
|
#
|
|
|
|
# This code needs to be VERY efficient as it is triggered via the message bus and may steal
|
|
|
|
# cycles from usual requests
|
2016-12-02 01:03:31 -05:00
|
|
|
def self.report(user, topic_id = nil)
|
2020-05-12 23:09:40 -04:00
|
|
|
tag_ids = muted_tag_ids(user)
|
DEV: Topic tracking state improvements (#13218)
I merged this PR in yesterday, finally thinking this was done https://github.com/discourse/discourse/pull/12958 but then a wild performance regression occurred. These are the problem methods:
https://github.com/discourse/discourse/blob/1aa20bd681e634f7fff22953ed62d90c2573b331/app/serializers/topic_tracking_state_serializer.rb#L13-L21
Turns out date comparison is super expensive on the backend _as well as_ the frontend.
The fix was to just move the `treat_as_new_topic_start_date` into the SQL query rather than using the slower `UserOption#treat_as_new_topic_start_date` method in ruby. After this change, 1% of the total time is spent with the `created_in_new_period` comparison instead of ~20%.
----
History:
Original PR which had to be reverted **https://github.com/discourse/discourse/pull/12555**. See the description there for what this PR is achieving, plus below.
The issue with the original PR is addressed in https://github.com/discourse/discourse/pull/12958/commits/92ef54f4020111ffacb0f2a27da5d5c2855f9d5d
If you went to the `x unread` link for a tag Chrome would freeze up and possibly crash, or eventually unfreeze after nearly 10 mins. Other routes for unread/new were similarly slow. From profiling the issue was the `sync` function of `topic-tracking-state.js`, which calls down to `isNew` which in turn calls `moment`, a change I had made in the PR above. The time it takes locally with ~1400 topics in the tracking state is 2.3 seconds.
To solve this issue, I have moved these calculations for "created in new period" and "unread not too old" into the tracking state serializer.
When I was looking at the profiler I also noticed this issue which was just compounding the problem. Every time we modify topic tracking state we recalculate the sidebar tracking/everything/tag counts. However this calls `forEachTracked` and `countTags` which can be quite expensive as they go through the whole tracking state (and were also calling the removed moment functions).
I added some logs and this was being called 30 times when navigating to a new /unread route because `sync` is being called from `build-topic-route` (one for each topic loaded due to pagination). So I just added a debounce here and it makes things even faster.
Finally, I changed topic tracking state to use a Map so our counts of the state keys is faster (Maps have .size whereas objects you have to do Object.keys(obj) which is O(n).)
<!-- NOTE: All pull requests should have tests (rspec in Ruby, qunit in JavaScript). If your code does not include test coverage, please include an explanation of why it was omitted. -->
2021-06-01 19:06:29 -04:00
|
|
|
sql = new_and_unread_sql(topic_id, user, tag_ids)
|
|
|
|
sql = tags_included_wrapped_sql(sql)
|
|
|
|
|
|
|
|
report = DB.query(
|
|
|
|
sql + "\n\n LIMIT :max_topics",
|
|
|
|
{
|
|
|
|
user_id: user.id,
|
|
|
|
topic_id: topic_id,
|
|
|
|
min_new_topic_date: Time.at(SiteSetting.min_new_topics_time).to_datetime,
|
|
|
|
max_topics: TopicTrackingState::MAX_TOPICS,
|
|
|
|
}
|
|
|
|
.merge(treat_as_new_topic_params)
|
|
|
|
)
|
|
|
|
|
|
|
|
report
|
|
|
|
end
|
2020-05-12 23:09:40 -04:00
|
|
|
|
DEV: Topic tracking state improvements (#13218)
I merged this PR in yesterday, finally thinking this was done https://github.com/discourse/discourse/pull/12958 but then a wild performance regression occurred. These are the problem methods:
https://github.com/discourse/discourse/blob/1aa20bd681e634f7fff22953ed62d90c2573b331/app/serializers/topic_tracking_state_serializer.rb#L13-L21
Turns out date comparison is super expensive on the backend _as well as_ the frontend.
The fix was to just move the `treat_as_new_topic_start_date` into the SQL query rather than using the slower `UserOption#treat_as_new_topic_start_date` method in ruby. After this change, 1% of the total time is spent with the `created_in_new_period` comparison instead of ~20%.
----
History:
Original PR which had to be reverted **https://github.com/discourse/discourse/pull/12555**. See the description there for what this PR is achieving, plus below.
The issue with the original PR is addressed in https://github.com/discourse/discourse/pull/12958/commits/92ef54f4020111ffacb0f2a27da5d5c2855f9d5d
If you went to the `x unread` link for a tag Chrome would freeze up and possibly crash, or eventually unfreeze after nearly 10 mins. Other routes for unread/new were similarly slow. From profiling the issue was the `sync` function of `topic-tracking-state.js`, which calls down to `isNew` which in turn calls `moment`, a change I had made in the PR above. The time it takes locally with ~1400 topics in the tracking state is 2.3 seconds.
To solve this issue, I have moved these calculations for "created in new period" and "unread not too old" into the tracking state serializer.
When I was looking at the profiler I also noticed this issue which was just compounding the problem. Every time we modify topic tracking state we recalculate the sidebar tracking/everything/tag counts. However this calls `forEachTracked` and `countTags` which can be quite expensive as they go through the whole tracking state (and were also calling the removed moment functions).
I added some logs and this was being called 30 times when navigating to a new /unread route because `sync` is being called from `build-topic-route` (one for each topic loaded due to pagination). So I just added a debounce here and it makes things even faster.
Finally, I changed topic tracking state to use a Map so our counts of the state keys is faster (Maps have .size whereas objects you have to do Object.keys(obj) which is O(n).)
<!-- NOTE: All pull requests should have tests (rspec in Ruby, qunit in JavaScript). If your code does not include test coverage, please include an explanation of why it was omitted. -->
2021-06-01 19:06:29 -04:00
|
|
|
def self.new_and_unread_sql(topic_id, user, tag_ids)
|
|
|
|
sql = report_raw_sql(
|
2019-04-05 00:25:19 -04:00
|
|
|
topic_id: topic_id,
|
|
|
|
skip_unread: true,
|
|
|
|
skip_order: true,
|
|
|
|
staff: user.staff?,
|
2019-11-14 00:11:34 -05:00
|
|
|
admin: user.admin?,
|
2019-12-09 17:50:05 -05:00
|
|
|
user: user,
|
2020-05-12 23:09:40 -04:00
|
|
|
muted_tag_ids: tag_ids
|
2019-04-05 00:25:19 -04:00
|
|
|
)
|
|
|
|
|
2015-09-28 21:55:09 -04:00
|
|
|
sql << "\nUNION ALL\n\n"
|
2019-04-05 00:25:19 -04:00
|
|
|
|
|
|
|
sql << report_raw_sql(
|
|
|
|
topic_id: topic_id,
|
|
|
|
skip_new: true,
|
|
|
|
skip_order: true,
|
|
|
|
staff: user.staff?,
|
|
|
|
filter_old_unread: true,
|
2019-11-14 00:11:34 -05:00
|
|
|
admin: user.admin?,
|
2019-12-09 17:50:05 -05:00
|
|
|
user: user,
|
2020-05-12 23:09:40 -04:00
|
|
|
muted_tag_ids: tag_ids
|
2019-04-05 00:25:19 -04:00
|
|
|
)
|
DEV: Topic tracking state improvements (#13218)
I merged this PR in yesterday, finally thinking this was done https://github.com/discourse/discourse/pull/12958 but then a wild performance regression occurred. These are the problem methods:
https://github.com/discourse/discourse/blob/1aa20bd681e634f7fff22953ed62d90c2573b331/app/serializers/topic_tracking_state_serializer.rb#L13-L21
Turns out date comparison is super expensive on the backend _as well as_ the frontend.
The fix was to just move the `treat_as_new_topic_start_date` into the SQL query rather than using the slower `UserOption#treat_as_new_topic_start_date` method in ruby. After this change, 1% of the total time is spent with the `created_in_new_period` comparison instead of ~20%.
----
History:
Original PR which had to be reverted **https://github.com/discourse/discourse/pull/12555**. See the description there for what this PR is achieving, plus below.
The issue with the original PR is addressed in https://github.com/discourse/discourse/pull/12958/commits/92ef54f4020111ffacb0f2a27da5d5c2855f9d5d
If you went to the `x unread` link for a tag Chrome would freeze up and possibly crash, or eventually unfreeze after nearly 10 mins. Other routes for unread/new were similarly slow. From profiling the issue was the `sync` function of `topic-tracking-state.js`, which calls down to `isNew` which in turn calls `moment`, a change I had made in the PR above. The time it takes locally with ~1400 topics in the tracking state is 2.3 seconds.
To solve this issue, I have moved these calculations for "created in new period" and "unread not too old" into the tracking state serializer.
When I was looking at the profiler I also noticed this issue which was just compounding the problem. Every time we modify topic tracking state we recalculate the sidebar tracking/everything/tag counts. However this calls `forEachTracked` and `countTags` which can be quite expensive as they go through the whole tracking state (and were also calling the removed moment functions).
I added some logs and this was being called 30 times when navigating to a new /unread route because `sync` is being called from `build-topic-route` (one for each topic loaded due to pagination). So I just added a debounce here and it makes things even faster.
Finally, I changed topic tracking state to use a Map so our counts of the state keys is faster (Maps have .size whereas objects you have to do Object.keys(obj) which is O(n).)
<!-- NOTE: All pull requests should have tests (rspec in Ruby, qunit in JavaScript). If your code does not include test coverage, please include an explanation of why it was omitted. -->
2021-06-01 19:06:29 -04:00
|
|
|
end
|
2015-09-06 21:57:50 -04:00
|
|
|
|
DEV: Topic tracking state improvements (#13218)
I merged this PR in yesterday, finally thinking this was done https://github.com/discourse/discourse/pull/12958 but then a wild performance regression occurred. These are the problem methods:
https://github.com/discourse/discourse/blob/1aa20bd681e634f7fff22953ed62d90c2573b331/app/serializers/topic_tracking_state_serializer.rb#L13-L21
Turns out date comparison is super expensive on the backend _as well as_ the frontend.
The fix was to just move the `treat_as_new_topic_start_date` into the SQL query rather than using the slower `UserOption#treat_as_new_topic_start_date` method in ruby. After this change, 1% of the total time is spent with the `created_in_new_period` comparison instead of ~20%.
----
History:
Original PR which had to be reverted **https://github.com/discourse/discourse/pull/12555**. See the description there for what this PR is achieving, plus below.
The issue with the original PR is addressed in https://github.com/discourse/discourse/pull/12958/commits/92ef54f4020111ffacb0f2a27da5d5c2855f9d5d
If you went to the `x unread` link for a tag Chrome would freeze up and possibly crash, or eventually unfreeze after nearly 10 mins. Other routes for unread/new were similarly slow. From profiling the issue was the `sync` function of `topic-tracking-state.js`, which calls down to `isNew` which in turn calls `moment`, a change I had made in the PR above. The time it takes locally with ~1400 topics in the tracking state is 2.3 seconds.
To solve this issue, I have moved these calculations for "created in new period" and "unread not too old" into the tracking state serializer.
When I was looking at the profiler I also noticed this issue which was just compounding the problem. Every time we modify topic tracking state we recalculate the sidebar tracking/everything/tag counts. However this calls `forEachTracked` and `countTags` which can be quite expensive as they go through the whole tracking state (and were also calling the removed moment functions).
I added some logs and this was being called 30 times when navigating to a new /unread route because `sync` is being called from `build-topic-route` (one for each topic loaded due to pagination). So I just added a debounce here and it makes things even faster.
Finally, I changed topic tracking state to use a Map so our counts of the state keys is faster (Maps have .size whereas objects you have to do Object.keys(obj) which is O(n).)
<!-- NOTE: All pull requests should have tests (rspec in Ruby, qunit in JavaScript). If your code does not include test coverage, please include an explanation of why it was omitted. -->
2021-06-01 19:06:29 -04:00
|
|
|
def self.tags_included_wrapped_sql(sql)
|
2020-05-28 22:57:46 -04:00
|
|
|
if SiteSetting.tagging_enabled && TopicTrackingState.include_tags_in_report?
|
DEV: Topic tracking state improvements (#13218)
I merged this PR in yesterday, finally thinking this was done https://github.com/discourse/discourse/pull/12958 but then a wild performance regression occurred. These are the problem methods:
https://github.com/discourse/discourse/blob/1aa20bd681e634f7fff22953ed62d90c2573b331/app/serializers/topic_tracking_state_serializer.rb#L13-L21
Turns out date comparison is super expensive on the backend _as well as_ the frontend.
The fix was to just move the `treat_as_new_topic_start_date` into the SQL query rather than using the slower `UserOption#treat_as_new_topic_start_date` method in ruby. After this change, 1% of the total time is spent with the `created_in_new_period` comparison instead of ~20%.
----
History:
Original PR which had to be reverted **https://github.com/discourse/discourse/pull/12555**. See the description there for what this PR is achieving, plus below.
The issue with the original PR is addressed in https://github.com/discourse/discourse/pull/12958/commits/92ef54f4020111ffacb0f2a27da5d5c2855f9d5d
If you went to the `x unread` link for a tag Chrome would freeze up and possibly crash, or eventually unfreeze after nearly 10 mins. Other routes for unread/new were similarly slow. From profiling the issue was the `sync` function of `topic-tracking-state.js`, which calls down to `isNew` which in turn calls `moment`, a change I had made in the PR above. The time it takes locally with ~1400 topics in the tracking state is 2.3 seconds.
To solve this issue, I have moved these calculations for "created in new period" and "unread not too old" into the tracking state serializer.
When I was looking at the profiler I also noticed this issue which was just compounding the problem. Every time we modify topic tracking state we recalculate the sidebar tracking/everything/tag counts. However this calls `forEachTracked` and `countTags` which can be quite expensive as they go through the whole tracking state (and were also calling the removed moment functions).
I added some logs and this was being called 30 times when navigating to a new /unread route because `sync` is being called from `build-topic-route` (one for each topic loaded due to pagination). So I just added a debounce here and it makes things even faster.
Finally, I changed topic tracking state to use a Map so our counts of the state keys is faster (Maps have .size whereas objects you have to do Object.keys(obj) which is O(n).)
<!-- NOTE: All pull requests should have tests (rspec in Ruby, qunit in JavaScript). If your code does not include test coverage, please include an explanation of why it was omitted. -->
2021-06-01 19:06:29 -04:00
|
|
|
return <<~SQL
|
|
|
|
WITH tags_included_cte AS (
|
|
|
|
#{sql}
|
|
|
|
)
|
2020-05-28 22:57:46 -04:00
|
|
|
SELECT *, (
|
|
|
|
SELECT ARRAY_AGG(name) from topic_tags
|
|
|
|
JOIN tags on tags.id = topic_tags.tag_id
|
DEV: Topic tracking state improvements (#13218)
I merged this PR in yesterday, finally thinking this was done https://github.com/discourse/discourse/pull/12958 but then a wild performance regression occurred. These are the problem methods:
https://github.com/discourse/discourse/blob/1aa20bd681e634f7fff22953ed62d90c2573b331/app/serializers/topic_tracking_state_serializer.rb#L13-L21
Turns out date comparison is super expensive on the backend _as well as_ the frontend.
The fix was to just move the `treat_as_new_topic_start_date` into the SQL query rather than using the slower `UserOption#treat_as_new_topic_start_date` method in ruby. After this change, 1% of the total time is spent with the `created_in_new_period` comparison instead of ~20%.
----
History:
Original PR which had to be reverted **https://github.com/discourse/discourse/pull/12555**. See the description there for what this PR is achieving, plus below.
The issue with the original PR is addressed in https://github.com/discourse/discourse/pull/12958/commits/92ef54f4020111ffacb0f2a27da5d5c2855f9d5d
If you went to the `x unread` link for a tag Chrome would freeze up and possibly crash, or eventually unfreeze after nearly 10 mins. Other routes for unread/new were similarly slow. From profiling the issue was the `sync` function of `topic-tracking-state.js`, which calls down to `isNew` which in turn calls `moment`, a change I had made in the PR above. The time it takes locally with ~1400 topics in the tracking state is 2.3 seconds.
To solve this issue, I have moved these calculations for "created in new period" and "unread not too old" into the tracking state serializer.
When I was looking at the profiler I also noticed this issue which was just compounding the problem. Every time we modify topic tracking state we recalculate the sidebar tracking/everything/tag counts. However this calls `forEachTracked` and `countTags` which can be quite expensive as they go through the whole tracking state (and were also calling the removed moment functions).
I added some logs and this was being called 30 times when navigating to a new /unread route because `sync` is being called from `build-topic-route` (one for each topic loaded due to pagination). So I just added a debounce here and it makes things even faster.
Finally, I changed topic tracking state to use a Map so our counts of the state keys is faster (Maps have .size whereas objects you have to do Object.keys(obj) which is O(n).)
<!-- NOTE: All pull requests should have tests (rspec in Ruby, qunit in JavaScript). If your code does not include test coverage, please include an explanation of why it was omitted. -->
2021-06-01 19:06:29 -04:00
|
|
|
WHERE topic_id = tags_included_cte.topic_id
|
2020-05-28 22:57:46 -04:00
|
|
|
) tags
|
DEV: Topic tracking state improvements (#13218)
I merged this PR in yesterday, finally thinking this was done https://github.com/discourse/discourse/pull/12958 but then a wild performance regression occurred. These are the problem methods:
https://github.com/discourse/discourse/blob/1aa20bd681e634f7fff22953ed62d90c2573b331/app/serializers/topic_tracking_state_serializer.rb#L13-L21
Turns out date comparison is super expensive on the backend _as well as_ the frontend.
The fix was to just move the `treat_as_new_topic_start_date` into the SQL query rather than using the slower `UserOption#treat_as_new_topic_start_date` method in ruby. After this change, 1% of the total time is spent with the `created_in_new_period` comparison instead of ~20%.
----
History:
Original PR which had to be reverted **https://github.com/discourse/discourse/pull/12555**. See the description there for what this PR is achieving, plus below.
The issue with the original PR is addressed in https://github.com/discourse/discourse/pull/12958/commits/92ef54f4020111ffacb0f2a27da5d5c2855f9d5d
If you went to the `x unread` link for a tag Chrome would freeze up and possibly crash, or eventually unfreeze after nearly 10 mins. Other routes for unread/new were similarly slow. From profiling the issue was the `sync` function of `topic-tracking-state.js`, which calls down to `isNew` which in turn calls `moment`, a change I had made in the PR above. The time it takes locally with ~1400 topics in the tracking state is 2.3 seconds.
To solve this issue, I have moved these calculations for "created in new period" and "unread not too old" into the tracking state serializer.
When I was looking at the profiler I also noticed this issue which was just compounding the problem. Every time we modify topic tracking state we recalculate the sidebar tracking/everything/tag counts. However this calls `forEachTracked` and `countTags` which can be quite expensive as they go through the whole tracking state (and were also calling the removed moment functions).
I added some logs and this was being called 30 times when navigating to a new /unread route because `sync` is being called from `build-topic-route` (one for each topic loaded due to pagination). So I just added a debounce here and it makes things even faster.
Finally, I changed topic tracking state to use a Map so our counts of the state keys is faster (Maps have .size whereas objects you have to do Object.keys(obj) which is O(n).)
<!-- NOTE: All pull requests should have tests (rspec in Ruby, qunit in JavaScript). If your code does not include test coverage, please include an explanation of why it was omitted. -->
2021-06-01 19:06:29 -04:00
|
|
|
FROM tags_included_cte
|
2020-05-28 22:57:46 -04:00
|
|
|
SQL
|
|
|
|
end
|
|
|
|
|
DEV: Topic tracking state improvements (#13218)
I merged this PR in yesterday, finally thinking this was done https://github.com/discourse/discourse/pull/12958 but then a wild performance regression occurred. These are the problem methods:
https://github.com/discourse/discourse/blob/1aa20bd681e634f7fff22953ed62d90c2573b331/app/serializers/topic_tracking_state_serializer.rb#L13-L21
Turns out date comparison is super expensive on the backend _as well as_ the frontend.
The fix was to just move the `treat_as_new_topic_start_date` into the SQL query rather than using the slower `UserOption#treat_as_new_topic_start_date` method in ruby. After this change, 1% of the total time is spent with the `created_in_new_period` comparison instead of ~20%.
----
History:
Original PR which had to be reverted **https://github.com/discourse/discourse/pull/12555**. See the description there for what this PR is achieving, plus below.
The issue with the original PR is addressed in https://github.com/discourse/discourse/pull/12958/commits/92ef54f4020111ffacb0f2a27da5d5c2855f9d5d
If you went to the `x unread` link for a tag Chrome would freeze up and possibly crash, or eventually unfreeze after nearly 10 mins. Other routes for unread/new were similarly slow. From profiling the issue was the `sync` function of `topic-tracking-state.js`, which calls down to `isNew` which in turn calls `moment`, a change I had made in the PR above. The time it takes locally with ~1400 topics in the tracking state is 2.3 seconds.
To solve this issue, I have moved these calculations for "created in new period" and "unread not too old" into the tracking state serializer.
When I was looking at the profiler I also noticed this issue which was just compounding the problem. Every time we modify topic tracking state we recalculate the sidebar tracking/everything/tag counts. However this calls `forEachTracked` and `countTags` which can be quite expensive as they go through the whole tracking state (and were also calling the removed moment functions).
I added some logs and this was being called 30 times when navigating to a new /unread route because `sync` is being called from `build-topic-route` (one for each topic loaded due to pagination). So I just added a debounce here and it makes things even faster.
Finally, I changed topic tracking state to use a Map so our counts of the state keys is faster (Maps have .size whereas objects you have to do Object.keys(obj) which is O(n).)
<!-- NOTE: All pull requests should have tests (rspec in Ruby, qunit in JavaScript). If your code does not include test coverage, please include an explanation of why it was omitted. -->
2021-06-01 19:06:29 -04:00
|
|
|
sql
|
2015-09-06 21:57:50 -04:00
|
|
|
end
|
|
|
|
|
2019-12-09 17:50:05 -05:00
|
|
|
def self.muted_tag_ids(user)
|
|
|
|
TagUser.lookup(user, :muted).pluck(:tag_id)
|
|
|
|
end
|
|
|
|
|
DEV: Topic tracking state improvements (#13218)
I merged this PR in yesterday, finally thinking this was done https://github.com/discourse/discourse/pull/12958 but then a wild performance regression occurred. These are the problem methods:
https://github.com/discourse/discourse/blob/1aa20bd681e634f7fff22953ed62d90c2573b331/app/serializers/topic_tracking_state_serializer.rb#L13-L21
Turns out date comparison is super expensive on the backend _as well as_ the frontend.
The fix was to just move the `treat_as_new_topic_start_date` into the SQL query rather than using the slower `UserOption#treat_as_new_topic_start_date` method in ruby. After this change, 1% of the total time is spent with the `created_in_new_period` comparison instead of ~20%.
----
History:
Original PR which had to be reverted **https://github.com/discourse/discourse/pull/12555**. See the description there for what this PR is achieving, plus below.
The issue with the original PR is addressed in https://github.com/discourse/discourse/pull/12958/commits/92ef54f4020111ffacb0f2a27da5d5c2855f9d5d
If you went to the `x unread` link for a tag Chrome would freeze up and possibly crash, or eventually unfreeze after nearly 10 mins. Other routes for unread/new were similarly slow. From profiling the issue was the `sync` function of `topic-tracking-state.js`, which calls down to `isNew` which in turn calls `moment`, a change I had made in the PR above. The time it takes locally with ~1400 topics in the tracking state is 2.3 seconds.
To solve this issue, I have moved these calculations for "created in new period" and "unread not too old" into the tracking state serializer.
When I was looking at the profiler I also noticed this issue which was just compounding the problem. Every time we modify topic tracking state we recalculate the sidebar tracking/everything/tag counts. However this calls `forEachTracked` and `countTags` which can be quite expensive as they go through the whole tracking state (and were also calling the removed moment functions).
I added some logs and this was being called 30 times when navigating to a new /unread route because `sync` is being called from `build-topic-route` (one for each topic loaded due to pagination). So I just added a debounce here and it makes things even faster.
Finally, I changed topic tracking state to use a Map so our counts of the state keys is faster (Maps have .size whereas objects you have to do Object.keys(obj) which is O(n).)
<!-- NOTE: All pull requests should have tests (rspec in Ruby, qunit in JavaScript). If your code does not include test coverage, please include an explanation of why it was omitted. -->
2021-06-01 19:06:29 -04:00
|
|
|
def self.report_raw_sql(
|
|
|
|
user:,
|
|
|
|
muted_tag_ids:,
|
|
|
|
topic_id: nil,
|
|
|
|
filter_old_unread: false,
|
|
|
|
skip_new: false,
|
|
|
|
skip_unread: false,
|
|
|
|
skip_order: false,
|
|
|
|
staff: false,
|
|
|
|
admin: false,
|
|
|
|
select: nil,
|
2021-06-02 21:21:33 -04:00
|
|
|
custom_state_filter: nil,
|
|
|
|
additional_join_sql: nil
|
DEV: Topic tracking state improvements (#13218)
I merged this PR in yesterday, finally thinking this was done https://github.com/discourse/discourse/pull/12958 but then a wild performance regression occurred. These are the problem methods:
https://github.com/discourse/discourse/blob/1aa20bd681e634f7fff22953ed62d90c2573b331/app/serializers/topic_tracking_state_serializer.rb#L13-L21
Turns out date comparison is super expensive on the backend _as well as_ the frontend.
The fix was to just move the `treat_as_new_topic_start_date` into the SQL query rather than using the slower `UserOption#treat_as_new_topic_start_date` method in ruby. After this change, 1% of the total time is spent with the `created_in_new_period` comparison instead of ~20%.
----
History:
Original PR which had to be reverted **https://github.com/discourse/discourse/pull/12555**. See the description there for what this PR is achieving, plus below.
The issue with the original PR is addressed in https://github.com/discourse/discourse/pull/12958/commits/92ef54f4020111ffacb0f2a27da5d5c2855f9d5d
If you went to the `x unread` link for a tag Chrome would freeze up and possibly crash, or eventually unfreeze after nearly 10 mins. Other routes for unread/new were similarly slow. From profiling the issue was the `sync` function of `topic-tracking-state.js`, which calls down to `isNew` which in turn calls `moment`, a change I had made in the PR above. The time it takes locally with ~1400 topics in the tracking state is 2.3 seconds.
To solve this issue, I have moved these calculations for "created in new period" and "unread not too old" into the tracking state serializer.
When I was looking at the profiler I also noticed this issue which was just compounding the problem. Every time we modify topic tracking state we recalculate the sidebar tracking/everything/tag counts. However this calls `forEachTracked` and `countTags` which can be quite expensive as they go through the whole tracking state (and were also calling the removed moment functions).
I added some logs and this was being called 30 times when navigating to a new /unread route because `sync` is being called from `build-topic-route` (one for each topic loaded due to pagination). So I just added a debounce here and it makes things even faster.
Finally, I changed topic tracking state to use a Map so our counts of the state keys is faster (Maps have .size whereas objects you have to do Object.keys(obj) which is O(n).)
<!-- NOTE: All pull requests should have tests (rspec in Ruby, qunit in JavaScript). If your code does not include test coverage, please include an explanation of why it was omitted. -->
2021-06-01 19:06:29 -04:00
|
|
|
)
|
2015-09-06 21:57:50 -04:00
|
|
|
unread =
|
DEV: Topic tracking state improvements (#13218)
I merged this PR in yesterday, finally thinking this was done https://github.com/discourse/discourse/pull/12958 but then a wild performance regression occurred. These are the problem methods:
https://github.com/discourse/discourse/blob/1aa20bd681e634f7fff22953ed62d90c2573b331/app/serializers/topic_tracking_state_serializer.rb#L13-L21
Turns out date comparison is super expensive on the backend _as well as_ the frontend.
The fix was to just move the `treat_as_new_topic_start_date` into the SQL query rather than using the slower `UserOption#treat_as_new_topic_start_date` method in ruby. After this change, 1% of the total time is spent with the `created_in_new_period` comparison instead of ~20%.
----
History:
Original PR which had to be reverted **https://github.com/discourse/discourse/pull/12555**. See the description there for what this PR is achieving, plus below.
The issue with the original PR is addressed in https://github.com/discourse/discourse/pull/12958/commits/92ef54f4020111ffacb0f2a27da5d5c2855f9d5d
If you went to the `x unread` link for a tag Chrome would freeze up and possibly crash, or eventually unfreeze after nearly 10 mins. Other routes for unread/new were similarly slow. From profiling the issue was the `sync` function of `topic-tracking-state.js`, which calls down to `isNew` which in turn calls `moment`, a change I had made in the PR above. The time it takes locally with ~1400 topics in the tracking state is 2.3 seconds.
To solve this issue, I have moved these calculations for "created in new period" and "unread not too old" into the tracking state serializer.
When I was looking at the profiler I also noticed this issue which was just compounding the problem. Every time we modify topic tracking state we recalculate the sidebar tracking/everything/tag counts. However this calls `forEachTracked` and `countTags` which can be quite expensive as they go through the whole tracking state (and were also calling the removed moment functions).
I added some logs and this was being called 30 times when navigating to a new /unread route because `sync` is being called from `build-topic-route` (one for each topic loaded due to pagination). So I just added a debounce here and it makes things even faster.
Finally, I changed topic tracking state to use a Map so our counts of the state keys is faster (Maps have .size whereas objects you have to do Object.keys(obj) which is O(n).)
<!-- NOTE: All pull requests should have tests (rspec in Ruby, qunit in JavaScript). If your code does not include test coverage, please include an explanation of why it was omitted. -->
2021-06-01 19:06:29 -04:00
|
|
|
if skip_unread
|
2015-09-06 21:57:50 -04:00
|
|
|
"1=0"
|
|
|
|
else
|
2021-08-11 22:31:50 -04:00
|
|
|
unread_filter_sql(staff: staff)
|
2015-09-06 21:57:50 -04:00
|
|
|
end
|
|
|
|
|
DEV: Topic tracking state improvements (#13218)
I merged this PR in yesterday, finally thinking this was done https://github.com/discourse/discourse/pull/12958 but then a wild performance regression occurred. These are the problem methods:
https://github.com/discourse/discourse/blob/1aa20bd681e634f7fff22953ed62d90c2573b331/app/serializers/topic_tracking_state_serializer.rb#L13-L21
Turns out date comparison is super expensive on the backend _as well as_ the frontend.
The fix was to just move the `treat_as_new_topic_start_date` into the SQL query rather than using the slower `UserOption#treat_as_new_topic_start_date` method in ruby. After this change, 1% of the total time is spent with the `created_in_new_period` comparison instead of ~20%.
----
History:
Original PR which had to be reverted **https://github.com/discourse/discourse/pull/12555**. See the description there for what this PR is achieving, plus below.
The issue with the original PR is addressed in https://github.com/discourse/discourse/pull/12958/commits/92ef54f4020111ffacb0f2a27da5d5c2855f9d5d
If you went to the `x unread` link for a tag Chrome would freeze up and possibly crash, or eventually unfreeze after nearly 10 mins. Other routes for unread/new were similarly slow. From profiling the issue was the `sync` function of `topic-tracking-state.js`, which calls down to `isNew` which in turn calls `moment`, a change I had made in the PR above. The time it takes locally with ~1400 topics in the tracking state is 2.3 seconds.
To solve this issue, I have moved these calculations for "created in new period" and "unread not too old" into the tracking state serializer.
When I was looking at the profiler I also noticed this issue which was just compounding the problem. Every time we modify topic tracking state we recalculate the sidebar tracking/everything/tag counts. However this calls `forEachTracked` and `countTags` which can be quite expensive as they go through the whole tracking state (and were also calling the removed moment functions).
I added some logs and this was being called 30 times when navigating to a new /unread route because `sync` is being called from `build-topic-route` (one for each topic loaded due to pagination). So I just added a debounce here and it makes things even faster.
Finally, I changed topic tracking state to use a Map so our counts of the state keys is faster (Maps have .size whereas objects you have to do Object.keys(obj) which is O(n).)
<!-- NOTE: All pull requests should have tests (rspec in Ruby, qunit in JavaScript). If your code does not include test coverage, please include an explanation of why it was omitted. -->
2021-06-01 19:06:29 -04:00
|
|
|
filter_old_unread_sql =
|
|
|
|
if filter_old_unread
|
2019-04-04 21:44:36 -04:00
|
|
|
" topics.updated_at >= us.first_unread_at AND "
|
|
|
|
else
|
|
|
|
""
|
|
|
|
end
|
|
|
|
|
2015-09-06 21:57:50 -04:00
|
|
|
new =
|
DEV: Topic tracking state improvements (#13218)
I merged this PR in yesterday, finally thinking this was done https://github.com/discourse/discourse/pull/12958 but then a wild performance regression occurred. These are the problem methods:
https://github.com/discourse/discourse/blob/1aa20bd681e634f7fff22953ed62d90c2573b331/app/serializers/topic_tracking_state_serializer.rb#L13-L21
Turns out date comparison is super expensive on the backend _as well as_ the frontend.
The fix was to just move the `treat_as_new_topic_start_date` into the SQL query rather than using the slower `UserOption#treat_as_new_topic_start_date` method in ruby. After this change, 1% of the total time is spent with the `created_in_new_period` comparison instead of ~20%.
----
History:
Original PR which had to be reverted **https://github.com/discourse/discourse/pull/12555**. See the description there for what this PR is achieving, plus below.
The issue with the original PR is addressed in https://github.com/discourse/discourse/pull/12958/commits/92ef54f4020111ffacb0f2a27da5d5c2855f9d5d
If you went to the `x unread` link for a tag Chrome would freeze up and possibly crash, or eventually unfreeze after nearly 10 mins. Other routes for unread/new were similarly slow. From profiling the issue was the `sync` function of `topic-tracking-state.js`, which calls down to `isNew` which in turn calls `moment`, a change I had made in the PR above. The time it takes locally with ~1400 topics in the tracking state is 2.3 seconds.
To solve this issue, I have moved these calculations for "created in new period" and "unread not too old" into the tracking state serializer.
When I was looking at the profiler I also noticed this issue which was just compounding the problem. Every time we modify topic tracking state we recalculate the sidebar tracking/everything/tag counts. However this calls `forEachTracked` and `countTags` which can be quite expensive as they go through the whole tracking state (and were also calling the removed moment functions).
I added some logs and this was being called 30 times when navigating to a new /unread route because `sync` is being called from `build-topic-route` (one for each topic loaded due to pagination). So I just added a debounce here and it makes things even faster.
Finally, I changed topic tracking state to use a Map so our counts of the state keys is faster (Maps have .size whereas objects you have to do Object.keys(obj) which is O(n).)
<!-- NOTE: All pull requests should have tests (rspec in Ruby, qunit in JavaScript). If your code does not include test coverage, please include an explanation of why it was omitted. -->
2021-06-01 19:06:29 -04:00
|
|
|
if skip_new
|
2015-09-06 21:57:50 -04:00
|
|
|
"1=0"
|
|
|
|
else
|
DEV: Topic tracking state improvements (#13218)
I merged this PR in yesterday, finally thinking this was done https://github.com/discourse/discourse/pull/12958 but then a wild performance regression occurred. These are the problem methods:
https://github.com/discourse/discourse/blob/1aa20bd681e634f7fff22953ed62d90c2573b331/app/serializers/topic_tracking_state_serializer.rb#L13-L21
Turns out date comparison is super expensive on the backend _as well as_ the frontend.
The fix was to just move the `treat_as_new_topic_start_date` into the SQL query rather than using the slower `UserOption#treat_as_new_topic_start_date` method in ruby. After this change, 1% of the total time is spent with the `created_in_new_period` comparison instead of ~20%.
----
History:
Original PR which had to be reverted **https://github.com/discourse/discourse/pull/12555**. See the description there for what this PR is achieving, plus below.
The issue with the original PR is addressed in https://github.com/discourse/discourse/pull/12958/commits/92ef54f4020111ffacb0f2a27da5d5c2855f9d5d
If you went to the `x unread` link for a tag Chrome would freeze up and possibly crash, or eventually unfreeze after nearly 10 mins. Other routes for unread/new were similarly slow. From profiling the issue was the `sync` function of `topic-tracking-state.js`, which calls down to `isNew` which in turn calls `moment`, a change I had made in the PR above. The time it takes locally with ~1400 topics in the tracking state is 2.3 seconds.
To solve this issue, I have moved these calculations for "created in new period" and "unread not too old" into the tracking state serializer.
When I was looking at the profiler I also noticed this issue which was just compounding the problem. Every time we modify topic tracking state we recalculate the sidebar tracking/everything/tag counts. However this calls `forEachTracked` and `countTags` which can be quite expensive as they go through the whole tracking state (and were also calling the removed moment functions).
I added some logs and this was being called 30 times when navigating to a new /unread route because `sync` is being called from `build-topic-route` (one for each topic loaded due to pagination). So I just added a debounce here and it makes things even faster.
Finally, I changed topic tracking state to use a Map so our counts of the state keys is faster (Maps have .size whereas objects you have to do Object.keys(obj) which is O(n).)
<!-- NOTE: All pull requests should have tests (rspec in Ruby, qunit in JavaScript). If your code does not include test coverage, please include an explanation of why it was omitted. -->
2021-06-01 19:06:29 -04:00
|
|
|
new_filter_sql
|
2015-09-06 21:57:50 -04:00
|
|
|
end
|
|
|
|
|
DEV: Topic tracking state improvements (#13218)
I merged this PR in yesterday, finally thinking this was done https://github.com/discourse/discourse/pull/12958 but then a wild performance regression occurred. These are the problem methods:
https://github.com/discourse/discourse/blob/1aa20bd681e634f7fff22953ed62d90c2573b331/app/serializers/topic_tracking_state_serializer.rb#L13-L21
Turns out date comparison is super expensive on the backend _as well as_ the frontend.
The fix was to just move the `treat_as_new_topic_start_date` into the SQL query rather than using the slower `UserOption#treat_as_new_topic_start_date` method in ruby. After this change, 1% of the total time is spent with the `created_in_new_period` comparison instead of ~20%.
----
History:
Original PR which had to be reverted **https://github.com/discourse/discourse/pull/12555**. See the description there for what this PR is achieving, plus below.
The issue with the original PR is addressed in https://github.com/discourse/discourse/pull/12958/commits/92ef54f4020111ffacb0f2a27da5d5c2855f9d5d
If you went to the `x unread` link for a tag Chrome would freeze up and possibly crash, or eventually unfreeze after nearly 10 mins. Other routes for unread/new were similarly slow. From profiling the issue was the `sync` function of `topic-tracking-state.js`, which calls down to `isNew` which in turn calls `moment`, a change I had made in the PR above. The time it takes locally with ~1400 topics in the tracking state is 2.3 seconds.
To solve this issue, I have moved these calculations for "created in new period" and "unread not too old" into the tracking state serializer.
When I was looking at the profiler I also noticed this issue which was just compounding the problem. Every time we modify topic tracking state we recalculate the sidebar tracking/everything/tag counts. However this calls `forEachTracked` and `countTags` which can be quite expensive as they go through the whole tracking state (and were also calling the removed moment functions).
I added some logs and this was being called 30 times when navigating to a new /unread route because `sync` is being called from `build-topic-route` (one for each topic loaded due to pagination). So I just added a debounce here and it makes things even faster.
Finally, I changed topic tracking state to use a Map so our counts of the state keys is faster (Maps have .size whereas objects you have to do Object.keys(obj) which is O(n).)
<!-- NOTE: All pull requests should have tests (rspec in Ruby, qunit in JavaScript). If your code does not include test coverage, please include an explanation of why it was omitted. -->
2021-06-01 19:06:29 -04:00
|
|
|
select_sql = select || "
|
2021-06-02 21:21:33 -04:00
|
|
|
DISTINCT topics.id as topic_id,
|
DEV: Topic tracking state improvements (#13218)
I merged this PR in yesterday, finally thinking this was done https://github.com/discourse/discourse/pull/12958 but then a wild performance regression occurred. These are the problem methods:
https://github.com/discourse/discourse/blob/1aa20bd681e634f7fff22953ed62d90c2573b331/app/serializers/topic_tracking_state_serializer.rb#L13-L21
Turns out date comparison is super expensive on the backend _as well as_ the frontend.
The fix was to just move the `treat_as_new_topic_start_date` into the SQL query rather than using the slower `UserOption#treat_as_new_topic_start_date` method in ruby. After this change, 1% of the total time is spent with the `created_in_new_period` comparison instead of ~20%.
----
History:
Original PR which had to be reverted **https://github.com/discourse/discourse/pull/12555**. See the description there for what this PR is achieving, plus below.
The issue with the original PR is addressed in https://github.com/discourse/discourse/pull/12958/commits/92ef54f4020111ffacb0f2a27da5d5c2855f9d5d
If you went to the `x unread` link for a tag Chrome would freeze up and possibly crash, or eventually unfreeze after nearly 10 mins. Other routes for unread/new were similarly slow. From profiling the issue was the `sync` function of `topic-tracking-state.js`, which calls down to `isNew` which in turn calls `moment`, a change I had made in the PR above. The time it takes locally with ~1400 topics in the tracking state is 2.3 seconds.
To solve this issue, I have moved these calculations for "created in new period" and "unread not too old" into the tracking state serializer.
When I was looking at the profiler I also noticed this issue which was just compounding the problem. Every time we modify topic tracking state we recalculate the sidebar tracking/everything/tag counts. However this calls `forEachTracked` and `countTags` which can be quite expensive as they go through the whole tracking state (and were also calling the removed moment functions).
I added some logs and this was being called 30 times when navigating to a new /unread route because `sync` is being called from `build-topic-route` (one for each topic loaded due to pagination). So I just added a debounce here and it makes things even faster.
Finally, I changed topic tracking state to use a Map so our counts of the state keys is faster (Maps have .size whereas objects you have to do Object.keys(obj) which is O(n).)
<!-- NOTE: All pull requests should have tests (rspec in Ruby, qunit in JavaScript). If your code does not include test coverage, please include an explanation of why it was omitted. -->
2021-06-01 19:06:29 -04:00
|
|
|
u.id as user_id,
|
2014-02-26 15:37:42 -05:00
|
|
|
topics.created_at,
|
DEV: Topic tracking state improvements (#13218)
I merged this PR in yesterday, finally thinking this was done https://github.com/discourse/discourse/pull/12958 but then a wild performance regression occurred. These are the problem methods:
https://github.com/discourse/discourse/blob/1aa20bd681e634f7fff22953ed62d90c2573b331/app/serializers/topic_tracking_state_serializer.rb#L13-L21
Turns out date comparison is super expensive on the backend _as well as_ the frontend.
The fix was to just move the `treat_as_new_topic_start_date` into the SQL query rather than using the slower `UserOption#treat_as_new_topic_start_date` method in ruby. After this change, 1% of the total time is spent with the `created_in_new_period` comparison instead of ~20%.
----
History:
Original PR which had to be reverted **https://github.com/discourse/discourse/pull/12555**. See the description there for what this PR is achieving, plus below.
The issue with the original PR is addressed in https://github.com/discourse/discourse/pull/12958/commits/92ef54f4020111ffacb0f2a27da5d5c2855f9d5d
If you went to the `x unread` link for a tag Chrome would freeze up and possibly crash, or eventually unfreeze after nearly 10 mins. Other routes for unread/new were similarly slow. From profiling the issue was the `sync` function of `topic-tracking-state.js`, which calls down to `isNew` which in turn calls `moment`, a change I had made in the PR above. The time it takes locally with ~1400 topics in the tracking state is 2.3 seconds.
To solve this issue, I have moved these calculations for "created in new period" and "unread not too old" into the tracking state serializer.
When I was looking at the profiler I also noticed this issue which was just compounding the problem. Every time we modify topic tracking state we recalculate the sidebar tracking/everything/tag counts. However this calls `forEachTracked` and `countTags` which can be quite expensive as they go through the whole tracking state (and were also calling the removed moment functions).
I added some logs and this was being called 30 times when navigating to a new /unread route because `sync` is being called from `build-topic-route` (one for each topic loaded due to pagination). So I just added a debounce here and it makes things even faster.
Finally, I changed topic tracking state to use a Map so our counts of the state keys is faster (Maps have .size whereas objects you have to do Object.keys(obj) which is O(n).)
<!-- NOTE: All pull requests should have tests (rspec in Ruby, qunit in JavaScript). If your code does not include test coverage, please include an explanation of why it was omitted. -->
2021-06-01 19:06:29 -04:00
|
|
|
topics.updated_at,
|
2021-06-02 21:21:33 -04:00
|
|
|
#{highest_post_number_column_select(staff)},
|
2014-02-26 15:37:42 -05:00
|
|
|
last_read_post_number,
|
DEV: Topic tracking state improvements (#13218)
I merged this PR in yesterday, finally thinking this was done https://github.com/discourse/discourse/pull/12958 but then a wild performance regression occurred. These are the problem methods:
https://github.com/discourse/discourse/blob/1aa20bd681e634f7fff22953ed62d90c2573b331/app/serializers/topic_tracking_state_serializer.rb#L13-L21
Turns out date comparison is super expensive on the backend _as well as_ the frontend.
The fix was to just move the `treat_as_new_topic_start_date` into the SQL query rather than using the slower `UserOption#treat_as_new_topic_start_date` method in ruby. After this change, 1% of the total time is spent with the `created_in_new_period` comparison instead of ~20%.
----
History:
Original PR which had to be reverted **https://github.com/discourse/discourse/pull/12555**. See the description there for what this PR is achieving, plus below.
The issue with the original PR is addressed in https://github.com/discourse/discourse/pull/12958/commits/92ef54f4020111ffacb0f2a27da5d5c2855f9d5d
If you went to the `x unread` link for a tag Chrome would freeze up and possibly crash, or eventually unfreeze after nearly 10 mins. Other routes for unread/new were similarly slow. From profiling the issue was the `sync` function of `topic-tracking-state.js`, which calls down to `isNew` which in turn calls `moment`, a change I had made in the PR above. The time it takes locally with ~1400 topics in the tracking state is 2.3 seconds.
To solve this issue, I have moved these calculations for "created in new period" and "unread not too old" into the tracking state serializer.
When I was looking at the profiler I also noticed this issue which was just compounding the problem. Every time we modify topic tracking state we recalculate the sidebar tracking/everything/tag counts. However this calls `forEachTracked` and `countTags` which can be quite expensive as they go through the whole tracking state (and were also calling the removed moment functions).
I added some logs and this was being called 30 times when navigating to a new /unread route because `sync` is being called from `build-topic-route` (one for each topic loaded due to pagination). So I just added a debounce here and it makes things even faster.
Finally, I changed topic tracking state to use a Map so our counts of the state keys is faster (Maps have .size whereas objects you have to do Object.keys(obj) which is O(n).)
<!-- NOTE: All pull requests should have tests (rspec in Ruby, qunit in JavaScript). If your code does not include test coverage, please include an explanation of why it was omitted. -->
2021-06-01 19:06:29 -04:00
|
|
|
c.id as category_id,
|
|
|
|
tu.notification_level,
|
|
|
|
us.first_unread_at,
|
|
|
|
GREATEST(
|
|
|
|
CASE
|
|
|
|
WHEN COALESCE(uo.new_topic_duration_minutes, :default_duration) = :always THEN u.created_at
|
|
|
|
WHEN COALESCE(uo.new_topic_duration_minutes, :default_duration) = :last_visit THEN COALESCE(
|
|
|
|
u.previous_visit_at,u.created_at
|
|
|
|
)
|
|
|
|
ELSE (:now::timestamp - INTERVAL '1 MINUTE' * COALESCE(uo.new_topic_duration_minutes, :default_duration))
|
|
|
|
END, u.created_at, :min_date
|
|
|
|
) AS treat_as_new_topic_start_date"
|
2015-09-06 21:57:50 -04:00
|
|
|
|
2019-04-05 00:25:19 -04:00
|
|
|
category_filter =
|
DEV: Topic tracking state improvements (#13218)
I merged this PR in yesterday, finally thinking this was done https://github.com/discourse/discourse/pull/12958 but then a wild performance regression occurred. These are the problem methods:
https://github.com/discourse/discourse/blob/1aa20bd681e634f7fff22953ed62d90c2573b331/app/serializers/topic_tracking_state_serializer.rb#L13-L21
Turns out date comparison is super expensive on the backend _as well as_ the frontend.
The fix was to just move the `treat_as_new_topic_start_date` into the SQL query rather than using the slower `UserOption#treat_as_new_topic_start_date` method in ruby. After this change, 1% of the total time is spent with the `created_in_new_period` comparison instead of ~20%.
----
History:
Original PR which had to be reverted **https://github.com/discourse/discourse/pull/12555**. See the description there for what this PR is achieving, plus below.
The issue with the original PR is addressed in https://github.com/discourse/discourse/pull/12958/commits/92ef54f4020111ffacb0f2a27da5d5c2855f9d5d
If you went to the `x unread` link for a tag Chrome would freeze up and possibly crash, or eventually unfreeze after nearly 10 mins. Other routes for unread/new were similarly slow. From profiling the issue was the `sync` function of `topic-tracking-state.js`, which calls down to `isNew` which in turn calls `moment`, a change I had made in the PR above. The time it takes locally with ~1400 topics in the tracking state is 2.3 seconds.
To solve this issue, I have moved these calculations for "created in new period" and "unread not too old" into the tracking state serializer.
When I was looking at the profiler I also noticed this issue which was just compounding the problem. Every time we modify topic tracking state we recalculate the sidebar tracking/everything/tag counts. However this calls `forEachTracked` and `countTags` which can be quite expensive as they go through the whole tracking state (and were also calling the removed moment functions).
I added some logs and this was being called 30 times when navigating to a new /unread route because `sync` is being called from `build-topic-route` (one for each topic loaded due to pagination). So I just added a debounce here and it makes things even faster.
Finally, I changed topic tracking state to use a Map so our counts of the state keys is faster (Maps have .size whereas objects you have to do Object.keys(obj) which is O(n).)
<!-- NOTE: All pull requests should have tests (rspec in Ruby, qunit in JavaScript). If your code does not include test coverage, please include an explanation of why it was omitted. -->
2021-06-01 19:06:29 -04:00
|
|
|
if admin
|
2019-04-05 00:25:19 -04:00
|
|
|
""
|
|
|
|
else
|
DEV: Topic tracking state improvements (#13218)
I merged this PR in yesterday, finally thinking this was done https://github.com/discourse/discourse/pull/12958 but then a wild performance regression occurred. These are the problem methods:
https://github.com/discourse/discourse/blob/1aa20bd681e634f7fff22953ed62d90c2573b331/app/serializers/topic_tracking_state_serializer.rb#L13-L21
Turns out date comparison is super expensive on the backend _as well as_ the frontend.
The fix was to just move the `treat_as_new_topic_start_date` into the SQL query rather than using the slower `UserOption#treat_as_new_topic_start_date` method in ruby. After this change, 1% of the total time is spent with the `created_in_new_period` comparison instead of ~20%.
----
History:
Original PR which had to be reverted **https://github.com/discourse/discourse/pull/12555**. See the description there for what this PR is achieving, plus below.
The issue with the original PR is addressed in https://github.com/discourse/discourse/pull/12958/commits/92ef54f4020111ffacb0f2a27da5d5c2855f9d5d
If you went to the `x unread` link for a tag Chrome would freeze up and possibly crash, or eventually unfreeze after nearly 10 mins. Other routes for unread/new were similarly slow. From profiling the issue was the `sync` function of `topic-tracking-state.js`, which calls down to `isNew` which in turn calls `moment`, a change I had made in the PR above. The time it takes locally with ~1400 topics in the tracking state is 2.3 seconds.
To solve this issue, I have moved these calculations for "created in new period" and "unread not too old" into the tracking state serializer.
When I was looking at the profiler I also noticed this issue which was just compounding the problem. Every time we modify topic tracking state we recalculate the sidebar tracking/everything/tag counts. However this calls `forEachTracked` and `countTags` which can be quite expensive as they go through the whole tracking state (and were also calling the removed moment functions).
I added some logs and this was being called 30 times when navigating to a new /unread route because `sync` is being called from `build-topic-route` (one for each topic loaded due to pagination). So I just added a debounce here and it makes things even faster.
Finally, I changed topic tracking state to use a Map so our counts of the state keys is faster (Maps have .size whereas objects you have to do Object.keys(obj) which is O(n).)
<!-- NOTE: All pull requests should have tests (rspec in Ruby, qunit in JavaScript). If your code does not include test coverage, please include an explanation of why it was omitted. -->
2021-06-01 19:06:29 -04:00
|
|
|
append = "OR u.admin" if !admin
|
2019-04-05 00:25:19 -04:00
|
|
|
<<~SQL
|
|
|
|
(
|
2019-11-14 00:11:34 -05:00
|
|
|
NOT c.read_restricted #{append} OR c.id IN (
|
2019-04-05 00:25:19 -04:00
|
|
|
SELECT c2.id FROM categories c2
|
|
|
|
JOIN category_groups cg ON cg.category_id = c2.id
|
|
|
|
JOIN group_users gu ON gu.user_id = :user_id AND cg.group_id = gu.group_id
|
|
|
|
WHERE c2.read_restricted )
|
|
|
|
) AND
|
|
|
|
SQL
|
|
|
|
end
|
|
|
|
|
|
|
|
visibility_filter =
|
DEV: Topic tracking state improvements (#13218)
I merged this PR in yesterday, finally thinking this was done https://github.com/discourse/discourse/pull/12958 but then a wild performance regression occurred. These are the problem methods:
https://github.com/discourse/discourse/blob/1aa20bd681e634f7fff22953ed62d90c2573b331/app/serializers/topic_tracking_state_serializer.rb#L13-L21
Turns out date comparison is super expensive on the backend _as well as_ the frontend.
The fix was to just move the `treat_as_new_topic_start_date` into the SQL query rather than using the slower `UserOption#treat_as_new_topic_start_date` method in ruby. After this change, 1% of the total time is spent with the `created_in_new_period` comparison instead of ~20%.
----
History:
Original PR which had to be reverted **https://github.com/discourse/discourse/pull/12555**. See the description there for what this PR is achieving, plus below.
The issue with the original PR is addressed in https://github.com/discourse/discourse/pull/12958/commits/92ef54f4020111ffacb0f2a27da5d5c2855f9d5d
If you went to the `x unread` link for a tag Chrome would freeze up and possibly crash, or eventually unfreeze after nearly 10 mins. Other routes for unread/new were similarly slow. From profiling the issue was the `sync` function of `topic-tracking-state.js`, which calls down to `isNew` which in turn calls `moment`, a change I had made in the PR above. The time it takes locally with ~1400 topics in the tracking state is 2.3 seconds.
To solve this issue, I have moved these calculations for "created in new period" and "unread not too old" into the tracking state serializer.
When I was looking at the profiler I also noticed this issue which was just compounding the problem. Every time we modify topic tracking state we recalculate the sidebar tracking/everything/tag counts. However this calls `forEachTracked` and `countTags` which can be quite expensive as they go through the whole tracking state (and were also calling the removed moment functions).
I added some logs and this was being called 30 times when navigating to a new /unread route because `sync` is being called from `build-topic-route` (one for each topic loaded due to pagination). So I just added a debounce here and it makes things even faster.
Finally, I changed topic tracking state to use a Map so our counts of the state keys is faster (Maps have .size whereas objects you have to do Object.keys(obj) which is O(n).)
<!-- NOTE: All pull requests should have tests (rspec in Ruby, qunit in JavaScript). If your code does not include test coverage, please include an explanation of why it was omitted. -->
2021-06-01 19:06:29 -04:00
|
|
|
if staff
|
2019-04-05 00:25:19 -04:00
|
|
|
""
|
|
|
|
else
|
DEV: Topic tracking state improvements (#13218)
I merged this PR in yesterday, finally thinking this was done https://github.com/discourse/discourse/pull/12958 but then a wild performance regression occurred. These are the problem methods:
https://github.com/discourse/discourse/blob/1aa20bd681e634f7fff22953ed62d90c2573b331/app/serializers/topic_tracking_state_serializer.rb#L13-L21
Turns out date comparison is super expensive on the backend _as well as_ the frontend.
The fix was to just move the `treat_as_new_topic_start_date` into the SQL query rather than using the slower `UserOption#treat_as_new_topic_start_date` method in ruby. After this change, 1% of the total time is spent with the `created_in_new_period` comparison instead of ~20%.
----
History:
Original PR which had to be reverted **https://github.com/discourse/discourse/pull/12555**. See the description there for what this PR is achieving, plus below.
The issue with the original PR is addressed in https://github.com/discourse/discourse/pull/12958/commits/92ef54f4020111ffacb0f2a27da5d5c2855f9d5d
If you went to the `x unread` link for a tag Chrome would freeze up and possibly crash, or eventually unfreeze after nearly 10 mins. Other routes for unread/new were similarly slow. From profiling the issue was the `sync` function of `topic-tracking-state.js`, which calls down to `isNew` which in turn calls `moment`, a change I had made in the PR above. The time it takes locally with ~1400 topics in the tracking state is 2.3 seconds.
To solve this issue, I have moved these calculations for "created in new period" and "unread not too old" into the tracking state serializer.
When I was looking at the profiler I also noticed this issue which was just compounding the problem. Every time we modify topic tracking state we recalculate the sidebar tracking/everything/tag counts. However this calls `forEachTracked` and `countTags` which can be quite expensive as they go through the whole tracking state (and were also calling the removed moment functions).
I added some logs and this was being called 30 times when navigating to a new /unread route because `sync` is being called from `build-topic-route` (one for each topic loaded due to pagination). So I just added a debounce here and it makes things even faster.
Finally, I changed topic tracking state to use a Map so our counts of the state keys is faster (Maps have .size whereas objects you have to do Object.keys(obj) which is O(n).)
<!-- NOTE: All pull requests should have tests (rspec in Ruby, qunit in JavaScript). If your code does not include test coverage, please include an explanation of why it was omitted. -->
2021-06-01 19:06:29 -04:00
|
|
|
append = "OR u.admin OR u.moderator" if !staff
|
2019-04-05 00:25:19 -04:00
|
|
|
"(topics.visible #{append}) AND"
|
|
|
|
end
|
|
|
|
|
2020-05-28 22:59:34 -04:00
|
|
|
tags_filter = ""
|
|
|
|
|
DEV: Topic tracking state improvements (#13218)
I merged this PR in yesterday, finally thinking this was done https://github.com/discourse/discourse/pull/12958 but then a wild performance regression occurred. These are the problem methods:
https://github.com/discourse/discourse/blob/1aa20bd681e634f7fff22953ed62d90c2573b331/app/serializers/topic_tracking_state_serializer.rb#L13-L21
Turns out date comparison is super expensive on the backend _as well as_ the frontend.
The fix was to just move the `treat_as_new_topic_start_date` into the SQL query rather than using the slower `UserOption#treat_as_new_topic_start_date` method in ruby. After this change, 1% of the total time is spent with the `created_in_new_period` comparison instead of ~20%.
----
History:
Original PR which had to be reverted **https://github.com/discourse/discourse/pull/12555**. See the description there for what this PR is achieving, plus below.
The issue with the original PR is addressed in https://github.com/discourse/discourse/pull/12958/commits/92ef54f4020111ffacb0f2a27da5d5c2855f9d5d
If you went to the `x unread` link for a tag Chrome would freeze up and possibly crash, or eventually unfreeze after nearly 10 mins. Other routes for unread/new were similarly slow. From profiling the issue was the `sync` function of `topic-tracking-state.js`, which calls down to `isNew` which in turn calls `moment`, a change I had made in the PR above. The time it takes locally with ~1400 topics in the tracking state is 2.3 seconds.
To solve this issue, I have moved these calculations for "created in new period" and "unread not too old" into the tracking state serializer.
When I was looking at the profiler I also noticed this issue which was just compounding the problem. Every time we modify topic tracking state we recalculate the sidebar tracking/everything/tag counts. However this calls `forEachTracked` and `countTags` which can be quite expensive as they go through the whole tracking state (and were also calling the removed moment functions).
I added some logs and this was being called 30 times when navigating to a new /unread route because `sync` is being called from `build-topic-route` (one for each topic loaded due to pagination). So I just added a debounce here and it makes things even faster.
Finally, I changed topic tracking state to use a Map so our counts of the state keys is faster (Maps have .size whereas objects you have to do Object.keys(obj) which is O(n).)
<!-- NOTE: All pull requests should have tests (rspec in Ruby, qunit in JavaScript). If your code does not include test coverage, please include an explanation of why it was omitted. -->
2021-06-01 19:06:29 -04:00
|
|
|
if muted_tag_ids.present? && ['always', 'only_muted'].include?(SiteSetting.remove_muted_tags_from_latest)
|
2020-05-28 22:59:34 -04:00
|
|
|
existing_tags_sql = "(select array_agg(tag_id) from topic_tags where topic_tags.topic_id = topics.id)"
|
DEV: Topic tracking state improvements (#13218)
I merged this PR in yesterday, finally thinking this was done https://github.com/discourse/discourse/pull/12958 but then a wild performance regression occurred. These are the problem methods:
https://github.com/discourse/discourse/blob/1aa20bd681e634f7fff22953ed62d90c2573b331/app/serializers/topic_tracking_state_serializer.rb#L13-L21
Turns out date comparison is super expensive on the backend _as well as_ the frontend.
The fix was to just move the `treat_as_new_topic_start_date` into the SQL query rather than using the slower `UserOption#treat_as_new_topic_start_date` method in ruby. After this change, 1% of the total time is spent with the `created_in_new_period` comparison instead of ~20%.
----
History:
Original PR which had to be reverted **https://github.com/discourse/discourse/pull/12555**. See the description there for what this PR is achieving, plus below.
The issue with the original PR is addressed in https://github.com/discourse/discourse/pull/12958/commits/92ef54f4020111ffacb0f2a27da5d5c2855f9d5d
If you went to the `x unread` link for a tag Chrome would freeze up and possibly crash, or eventually unfreeze after nearly 10 mins. Other routes for unread/new were similarly slow. From profiling the issue was the `sync` function of `topic-tracking-state.js`, which calls down to `isNew` which in turn calls `moment`, a change I had made in the PR above. The time it takes locally with ~1400 topics in the tracking state is 2.3 seconds.
To solve this issue, I have moved these calculations for "created in new period" and "unread not too old" into the tracking state serializer.
When I was looking at the profiler I also noticed this issue which was just compounding the problem. Every time we modify topic tracking state we recalculate the sidebar tracking/everything/tag counts. However this calls `forEachTracked` and `countTags` which can be quite expensive as they go through the whole tracking state (and were also calling the removed moment functions).
I added some logs and this was being called 30 times when navigating to a new /unread route because `sync` is being called from `build-topic-route` (one for each topic loaded due to pagination). So I just added a debounce here and it makes things even faster.
Finally, I changed topic tracking state to use a Map so our counts of the state keys is faster (Maps have .size whereas objects you have to do Object.keys(obj) which is O(n).)
<!-- NOTE: All pull requests should have tests (rspec in Ruby, qunit in JavaScript). If your code does not include test coverage, please include an explanation of why it was omitted. -->
2021-06-01 19:06:29 -04:00
|
|
|
muted_tags_array_sql = "ARRAY[#{muted_tag_ids.join(',')}]"
|
2020-05-28 22:59:34 -04:00
|
|
|
|
|
|
|
if SiteSetting.remove_muted_tags_from_latest == 'always'
|
|
|
|
tags_filter = <<~SQL
|
|
|
|
NOT (
|
|
|
|
COALESCE(#{existing_tags_sql}, ARRAY[]::int[]) && #{muted_tags_array_sql}
|
|
|
|
) AND
|
2019-12-09 17:50:05 -05:00
|
|
|
SQL
|
2020-05-28 22:59:34 -04:00
|
|
|
else # only muted
|
|
|
|
tags_filter = <<~SQL
|
|
|
|
NOT (
|
|
|
|
COALESCE(#{existing_tags_sql}, ARRAY[-999]) <@ #{muted_tags_array_sql}
|
|
|
|
) AND
|
2019-12-09 17:50:05 -05:00
|
|
|
SQL
|
|
|
|
end
|
2020-05-28 22:59:34 -04:00
|
|
|
end
|
2019-12-09 17:50:05 -05:00
|
|
|
|
2019-04-05 00:25:19 -04:00
|
|
|
sql = +<<~SQL
|
DEV: Topic tracking state improvements (#13218)
I merged this PR in yesterday, finally thinking this was done https://github.com/discourse/discourse/pull/12958 but then a wild performance regression occurred. These are the problem methods:
https://github.com/discourse/discourse/blob/1aa20bd681e634f7fff22953ed62d90c2573b331/app/serializers/topic_tracking_state_serializer.rb#L13-L21
Turns out date comparison is super expensive on the backend _as well as_ the frontend.
The fix was to just move the `treat_as_new_topic_start_date` into the SQL query rather than using the slower `UserOption#treat_as_new_topic_start_date` method in ruby. After this change, 1% of the total time is spent with the `created_in_new_period` comparison instead of ~20%.
----
History:
Original PR which had to be reverted **https://github.com/discourse/discourse/pull/12555**. See the description there for what this PR is achieving, plus below.
The issue with the original PR is addressed in https://github.com/discourse/discourse/pull/12958/commits/92ef54f4020111ffacb0f2a27da5d5c2855f9d5d
If you went to the `x unread` link for a tag Chrome would freeze up and possibly crash, or eventually unfreeze after nearly 10 mins. Other routes for unread/new were similarly slow. From profiling the issue was the `sync` function of `topic-tracking-state.js`, which calls down to `isNew` which in turn calls `moment`, a change I had made in the PR above. The time it takes locally with ~1400 topics in the tracking state is 2.3 seconds.
To solve this issue, I have moved these calculations for "created in new period" and "unread not too old" into the tracking state serializer.
When I was looking at the profiler I also noticed this issue which was just compounding the problem. Every time we modify topic tracking state we recalculate the sidebar tracking/everything/tag counts. However this calls `forEachTracked` and `countTags` which can be quite expensive as they go through the whole tracking state (and were also calling the removed moment functions).
I added some logs and this was being called 30 times when navigating to a new /unread route because `sync` is being called from `build-topic-route` (one for each topic loaded due to pagination). So I just added a debounce here and it makes things even faster.
Finally, I changed topic tracking state to use a Map so our counts of the state keys is faster (Maps have .size whereas objects you have to do Object.keys(obj) which is O(n).)
<!-- NOTE: All pull requests should have tests (rspec in Ruby, qunit in JavaScript). If your code does not include test coverage, please include an explanation of why it was omitted. -->
2021-06-01 19:06:29 -04:00
|
|
|
SELECT #{select_sql}
|
|
|
|
FROM topics
|
|
|
|
JOIN users u on u.id = :user_id
|
|
|
|
JOIN user_stats AS us ON us.user_id = u.id
|
|
|
|
JOIN user_options AS uo ON uo.user_id = u.id
|
|
|
|
JOIN categories c ON c.id = topics.category_id
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LEFT JOIN topic_users tu ON tu.topic_id = topics.id AND tu.user_id = u.id
|
2021-08-16 00:18:26 -04:00
|
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|
#{skip_new ? "" : "LEFT JOIN dismissed_topic_users ON dismissed_topic_users.topic_id = topics.id AND dismissed_topic_users.user_id = :user_id"}
|
2021-06-02 21:21:33 -04:00
|
|
|
#{additional_join_sql}
|
DEV: Topic tracking state improvements (#13218)
I merged this PR in yesterday, finally thinking this was done https://github.com/discourse/discourse/pull/12958 but then a wild performance regression occurred. These are the problem methods:
https://github.com/discourse/discourse/blob/1aa20bd681e634f7fff22953ed62d90c2573b331/app/serializers/topic_tracking_state_serializer.rb#L13-L21
Turns out date comparison is super expensive on the backend _as well as_ the frontend.
The fix was to just move the `treat_as_new_topic_start_date` into the SQL query rather than using the slower `UserOption#treat_as_new_topic_start_date` method in ruby. After this change, 1% of the total time is spent with the `created_in_new_period` comparison instead of ~20%.
----
History:
Original PR which had to be reverted **https://github.com/discourse/discourse/pull/12555**. See the description there for what this PR is achieving, plus below.
The issue with the original PR is addressed in https://github.com/discourse/discourse/pull/12958/commits/92ef54f4020111ffacb0f2a27da5d5c2855f9d5d
If you went to the `x unread` link for a tag Chrome would freeze up and possibly crash, or eventually unfreeze after nearly 10 mins. Other routes for unread/new were similarly slow. From profiling the issue was the `sync` function of `topic-tracking-state.js`, which calls down to `isNew` which in turn calls `moment`, a change I had made in the PR above. The time it takes locally with ~1400 topics in the tracking state is 2.3 seconds.
To solve this issue, I have moved these calculations for "created in new period" and "unread not too old" into the tracking state serializer.
When I was looking at the profiler I also noticed this issue which was just compounding the problem. Every time we modify topic tracking state we recalculate the sidebar tracking/everything/tag counts. However this calls `forEachTracked` and `countTags` which can be quite expensive as they go through the whole tracking state (and were also calling the removed moment functions).
I added some logs and this was being called 30 times when navigating to a new /unread route because `sync` is being called from `build-topic-route` (one for each topic loaded due to pagination). So I just added a debounce here and it makes things even faster.
Finally, I changed topic tracking state to use a Map so our counts of the state keys is faster (Maps have .size whereas objects you have to do Object.keys(obj) which is O(n).)
<!-- NOTE: All pull requests should have tests (rspec in Ruby, qunit in JavaScript). If your code does not include test coverage, please include an explanation of why it was omitted. -->
2021-06-01 19:06:29 -04:00
|
|
|
WHERE u.id = :user_id AND
|
|
|
|
#{filter_old_unread_sql}
|
|
|
|
topics.archetype <> 'private_message' AND
|
|
|
|
#{custom_state_filter ? custom_state_filter : "((#{unread}) OR (#{new})) AND"}
|
|
|
|
#{visibility_filter}
|
|
|
|
#{tags_filter}
|
|
|
|
topics.deleted_at IS NULL AND
|
|
|
|
#{category_filter}
|
|
|
|
NOT (
|
|
|
|
#{(skip_new && skip_unread) ? "" : "last_read_post_number IS NULL AND"}
|
|
|
|
(
|
2022-03-01 23:02:09 -05:00
|
|
|
topics.category_id IN (#{CategoryUser.muted_category_ids_query(user, include_direct: true).select("categories.id").to_sql})
|
DEV: Topic tracking state improvements (#13218)
I merged this PR in yesterday, finally thinking this was done https://github.com/discourse/discourse/pull/12958 but then a wild performance regression occurred. These are the problem methods:
https://github.com/discourse/discourse/blob/1aa20bd681e634f7fff22953ed62d90c2573b331/app/serializers/topic_tracking_state_serializer.rb#L13-L21
Turns out date comparison is super expensive on the backend _as well as_ the frontend.
The fix was to just move the `treat_as_new_topic_start_date` into the SQL query rather than using the slower `UserOption#treat_as_new_topic_start_date` method in ruby. After this change, 1% of the total time is spent with the `created_in_new_period` comparison instead of ~20%.
----
History:
Original PR which had to be reverted **https://github.com/discourse/discourse/pull/12555**. See the description there for what this PR is achieving, plus below.
The issue with the original PR is addressed in https://github.com/discourse/discourse/pull/12958/commits/92ef54f4020111ffacb0f2a27da5d5c2855f9d5d
If you went to the `x unread` link for a tag Chrome would freeze up and possibly crash, or eventually unfreeze after nearly 10 mins. Other routes for unread/new were similarly slow. From profiling the issue was the `sync` function of `topic-tracking-state.js`, which calls down to `isNew` which in turn calls `moment`, a change I had made in the PR above. The time it takes locally with ~1400 topics in the tracking state is 2.3 seconds.
To solve this issue, I have moved these calculations for "created in new period" and "unread not too old" into the tracking state serializer.
When I was looking at the profiler I also noticed this issue which was just compounding the problem. Every time we modify topic tracking state we recalculate the sidebar tracking/everything/tag counts. However this calls `forEachTracked` and `countTags` which can be quite expensive as they go through the whole tracking state (and were also calling the removed moment functions).
I added some logs and this was being called 30 times when navigating to a new /unread route because `sync` is being called from `build-topic-route` (one for each topic loaded due to pagination). So I just added a debounce here and it makes things even faster.
Finally, I changed topic tracking state to use a Map so our counts of the state keys is faster (Maps have .size whereas objects you have to do Object.keys(obj) which is O(n).)
<!-- NOTE: All pull requests should have tests (rspec in Ruby, qunit in JavaScript). If your code does not include test coverage, please include an explanation of why it was omitted. -->
2021-06-01 19:06:29 -04:00
|
|
|
AND tu.notification_level <= #{TopicUser.notification_levels[:regular]}
|
|
|
|
)
|
|
|
|
)
|
|
|
|
SQL
|
|
|
|
|
|
|
|
if topic_id
|
2015-07-21 07:53:54 -04:00
|
|
|
sql << " AND topics.id = :topic_id"
|
2013-05-23 01:21:07 -04:00
|
|
|
end
|
2014-09-10 08:19:24 -04:00
|
|
|
|
DEV: Topic tracking state improvements (#13218)
I merged this PR in yesterday, finally thinking this was done https://github.com/discourse/discourse/pull/12958 but then a wild performance regression occurred. These are the problem methods:
https://github.com/discourse/discourse/blob/1aa20bd681e634f7fff22953ed62d90c2573b331/app/serializers/topic_tracking_state_serializer.rb#L13-L21
Turns out date comparison is super expensive on the backend _as well as_ the frontend.
The fix was to just move the `treat_as_new_topic_start_date` into the SQL query rather than using the slower `UserOption#treat_as_new_topic_start_date` method in ruby. After this change, 1% of the total time is spent with the `created_in_new_period` comparison instead of ~20%.
----
History:
Original PR which had to be reverted **https://github.com/discourse/discourse/pull/12555**. See the description there for what this PR is achieving, plus below.
The issue with the original PR is addressed in https://github.com/discourse/discourse/pull/12958/commits/92ef54f4020111ffacb0f2a27da5d5c2855f9d5d
If you went to the `x unread` link for a tag Chrome would freeze up and possibly crash, or eventually unfreeze after nearly 10 mins. Other routes for unread/new were similarly slow. From profiling the issue was the `sync` function of `topic-tracking-state.js`, which calls down to `isNew` which in turn calls `moment`, a change I had made in the PR above. The time it takes locally with ~1400 topics in the tracking state is 2.3 seconds.
To solve this issue, I have moved these calculations for "created in new period" and "unread not too old" into the tracking state serializer.
When I was looking at the profiler I also noticed this issue which was just compounding the problem. Every time we modify topic tracking state we recalculate the sidebar tracking/everything/tag counts. However this calls `forEachTracked` and `countTags` which can be quite expensive as they go through the whole tracking state (and were also calling the removed moment functions).
I added some logs and this was being called 30 times when navigating to a new /unread route because `sync` is being called from `build-topic-route` (one for each topic loaded due to pagination). So I just added a debounce here and it makes things even faster.
Finally, I changed topic tracking state to use a Map so our counts of the state keys is faster (Maps have .size whereas objects you have to do Object.keys(obj) which is O(n).)
<!-- NOTE: All pull requests should have tests (rspec in Ruby, qunit in JavaScript). If your code does not include test coverage, please include an explanation of why it was omitted. -->
2021-06-01 19:06:29 -04:00
|
|
|
unless skip_order
|
2015-09-28 21:55:09 -04:00
|
|
|
sql << " ORDER BY topics.bumped_at DESC"
|
|
|
|
end
|
|
|
|
|
|
|
|
sql
|
2013-05-21 02:39:51 -04:00
|
|
|
end
|
|
|
|
|
2021-06-02 21:21:33 -04:00
|
|
|
def self.highest_post_number_column_select(staff)
|
|
|
|
"#{staff ? "topics.highest_staff_post_number AS highest_post_number" : "topics.highest_post_number"}"
|
|
|
|
end
|
|
|
|
|
2019-08-27 08:09:00 -04:00
|
|
|
def self.publish_read_indicator_on_write(topic_id, last_read_post_number, user_id)
|
|
|
|
topic = Topic.includes(:allowed_groups).select(:highest_post_number, :archetype, :id).find_by(id: topic_id)
|
|
|
|
|
2019-08-29 12:38:23 -04:00
|
|
|
if topic&.private_message?
|
2019-08-27 08:09:00 -04:00
|
|
|
groups = read_allowed_groups_of(topic)
|
2019-08-29 11:03:43 -04:00
|
|
|
update_topic_list_read_indicator(topic, groups, topic.highest_post_number, user_id, true)
|
2019-08-27 08:09:00 -04:00
|
|
|
end
|
|
|
|
end
|
|
|
|
|
|
|
|
def self.publish_read_indicator_on_read(topic_id, last_read_post_number, user_id)
|
|
|
|
topic = Topic.includes(:allowed_groups).select(:highest_post_number, :archetype, :id).find_by(id: topic_id)
|
|
|
|
|
2019-08-29 12:38:23 -04:00
|
|
|
if topic&.private_message?
|
2019-08-27 08:09:00 -04:00
|
|
|
groups = read_allowed_groups_of(topic)
|
|
|
|
post = Post.find_by(topic_id: topic.id, post_number: last_read_post_number)
|
2019-09-08 21:29:15 -04:00
|
|
|
trigger_post_read_count_update(post, groups, last_read_post_number, user_id)
|
2019-08-29 11:03:43 -04:00
|
|
|
update_topic_list_read_indicator(topic, groups, last_read_post_number, user_id, false)
|
2019-08-27 08:09:00 -04:00
|
|
|
end
|
|
|
|
end
|
|
|
|
|
|
|
|
def self.read_allowed_groups_of(topic)
|
|
|
|
topic.allowed_groups
|
|
|
|
.joins(:group_users)
|
|
|
|
.where(publish_read_state: true)
|
|
|
|
.select('ARRAY_AGG(group_users.user_id) AS members', :name, :id)
|
|
|
|
.group('groups.id')
|
|
|
|
end
|
|
|
|
|
2019-08-29 11:03:43 -04:00
|
|
|
def self.update_topic_list_read_indicator(topic, groups, last_read_post_number, user_id, write_event)
|
2019-08-27 08:09:00 -04:00
|
|
|
return unless last_read_post_number == topic.highest_post_number
|
2019-08-29 11:03:43 -04:00
|
|
|
message = { topic_id: topic.id, show_indicator: write_event }.as_json
|
2019-08-27 08:09:00 -04:00
|
|
|
groups_to_update = []
|
|
|
|
|
|
|
|
groups.each do |group|
|
|
|
|
member = group.members.include?(user_id)
|
|
|
|
|
2019-08-29 11:03:43 -04:00
|
|
|
member_writing = (write_event && member)
|
|
|
|
non_member_reading = (!write_event && !member)
|
2019-08-27 08:09:00 -04:00
|
|
|
next if non_member_reading || member_writing
|
|
|
|
|
|
|
|
groups_to_update << group
|
|
|
|
end
|
|
|
|
|
|
|
|
return if groups_to_update.empty?
|
2019-08-29 11:03:43 -04:00
|
|
|
MessageBus.publish("/private-messages/unread-indicator/#{topic.id}", message, user_ids: groups_to_update.flat_map(&:members))
|
2019-08-27 08:09:00 -04:00
|
|
|
end
|
|
|
|
|
2019-09-08 21:29:15 -04:00
|
|
|
def self.trigger_post_read_count_update(post, groups, last_read_post_number, user_id)
|
2019-10-01 20:57:34 -04:00
|
|
|
return if !post
|
2019-08-27 08:09:00 -04:00
|
|
|
return if groups.empty?
|
2019-09-08 21:29:15 -04:00
|
|
|
opts = { readers_count: post.readers_count, reader_id: user_id }
|
|
|
|
post.publish_change_to_clients!(:read, opts)
|
2019-08-27 08:09:00 -04:00
|
|
|
end
|
2013-05-21 02:39:51 -04:00
|
|
|
end
|