* The read indicator now shows up when no member has read the last post of the topic (written by a non-member)
* The read indicator works on mobile and receives live updates from message bus
* The icon we display in the topic list was changed
* Added a title to the indicator to indicate its purpose when hovering over it
* Revert "Revert "FEATURE: Publish read state on group messages. (#7989) [Undo revert] (#8024)""
This reverts commit 36425eb9f0.
* Fix: Show who read only if the attribute is enabled
* PERF: Precalculate the last post readed by a group member
* Use book-reader icon instear of far-eye
* FIX: update topic groups correctly
* DEV: Tidy up read indicator update on write
* Reenable: "FEATURE: Publish read state on group messages. (#7989)"
This reverts commit 67f5cc1ce8.
* FIX: Read indicator only appears when the group setting is enabled
* Enable or disable read state based on group attribute
* When read state needs to be published, the minimum unread count is calculated in the topic query. This way, we can know if someone reads the last post
* The option can be enabled/disabled from the UI
* The read indicator will live-updated using message bus
* Show read indicator on every post
* The read indicator now shows read count and can be expanded to see user avatars
* Read count gets updated everytime someone reads a message
* Simplify topic-list read indicator logic
* Unsubscribe from message bus on willDestroyElement, removed unnecesarry values from post-menu, and added a comment to explain where does minimum_unread_count comes from
restructure query so it avoids ORs
It appears postgres is picking suboptimal indexes if too many ORs exist
despite how trivial the condition is.
This bypasses conditional in the query and evals them upfront.
On meta for my user this made a 10x perf difference.
This boils down to either having `OR u.admin` or not having `OR u.admin` in
the query.
This optimisation avoids large scans joining the topics table with the
topic_users table.
Previously when a user carried a lot of read state we would have to join
the entire read state with the topics table. This operation would slow down
home page and every topic page. The more read state you accumulated the
larger the impact.
The optimisation helps people who clean up unread, however if you carry
unread from years ago it will only have minimal impact.
Figuring out what unread topics a user has is a very expensive
operation over time.
Users can easily accumulate 10s of thousands of tracking state rows
(1 for every topic they ever visit)
When figuring out what a user has that is unread we need to join
the tracking state records to the topic table. This can very quickly
lead to cases where you need to scan through the entire topic table.
This commit optimises it so we always keep track of the "first" date
a user has unread topics. Then we can easily filter out all earlier
topics from the join.
We use pg functions, instead of nested queries here to assist the
planner.
- Regular users are not notified of whispers
- Regular users no longer have "stuck" topics in unread
- Additional tracking for staff highest post number
- Remove a bunch of unused columns in topics table
We cap new and unread at 2/5th of SiteSetting.max_tracked_new_unread
This dynamic capping is applied under 2 conditions:
1. New capping is applied once every 15 minutes in the periodical job, this effectively ensures that usually even super active sites are capped at 200 new items
2. Unread capping is applied if a user hits max_tracked_new_unread,
meaning if new + unread == 500, we defer a job that runs within 15 minutes that will cap user at 200 unread
This logic ensures that at worst case a user gets "bad" numbers for 15 minutes and then the system goes ahead and fixes itself up
- unread was not incrementing when you read last post on topic
- new notifications were being inserted even if they existed in list
- terminology was all mixed up "1 new posts", split to 3 messages
- latest behaves as expected, updating count of new and updated topics
Joffrey JAFFEUX
Roman Rizzi
Régis Hanol
Guo Xiang Tan
Sam Saffron
Guo Xiang Tan
Robin Ward