The users all shared the same `User#last_seen_at` column so depending on
how the database returned the records, the user that we're interested in
may be excluded from the update query.
Follow-up to 8226ab1099
In b8c8909a9d, we introduced a regression
where users may have had their `UserStat.first_unread_pm_at` set
incorrectly. This commit introduces a migration to reset `UserStat.first_unread_pm_at` back to
`User#created_at`.
Follow-up to b8c8909a9d.
This commit adds the number of drafts a user has next to the "Draft"
label in the user preferences menu and activity tab. The count is
updated via MessageBus when a draft is created or destroyed.
* Introduced fab!, a helper that creates database state for a group
It's almost identical to let_it_be, except:
1. It creates a new object for each test by default,
2. You can disable it using PREFABRICATION=0
This change both speeds up specs (less strings to allocate) and helps catch
cases where methods in Discourse are mutating inputs.
Overall we will be migrating everything to use #frozen_string_literal: true
it will take a while, but this is the first and safest move in this direction
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.
UserStat has some special logic to keep adding time read if repeat calls
are made in intervals less than 100 seconds. This is called regularly
when we update read timings on a topic.
We only need to cache this key in redis for 100 seconds, however previously
we would keep it forever, 1 key per user. This has potential of bloating
a very large amount of keys for no longer active users in redis.
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.
Since rspec-rails 3, the default installation creates two helper files:
* `spec_helper.rb`
* `rails_helper.rb`
`spec_helper.rb` is intended as a way of running specs that do not
require Rails, whereas `rails_helper.rb` loads Rails (as Discourse's
current `spec_helper.rb` does).
For more information:
https://www.relishapp.com/rspec/rspec-rails/docs/upgrade#default-helper-files
In this commit, I've simply replaced all instances of `spec_helper` with
`rails_helper`, and renamed the original `spec_helper.rb`.
This brings the Discourse project closer to the standard usage of RSpec
in a Rails app.
At present, every spec relies on loading Rails, but there are likely
many that don't need to. In a future pull request, I hope to introduce a
separate, minimal `spec_helper.rb` which can be used in tests which
don't rely on Rails.
update rspec syntax to v3
change syntax to rspec v3
oops. fix typo
mailers classes with rspec3 syntax
helpers with rspec3 syntax
jobs with rspec3 syntax
serializers with rspec3 syntax
views with rspec3 syntax
support to rspec3 syntax
category spec with rspec3 syntax
* cut down on storage of the work Topic, 3 times per row (in 2 indexes)
* only store one view per user per topic
* only store one view per ip per topic
This is information that is not usually needed when representing a user
and is in a separate table with a has one relationship to avoid querying
it all the time.
