Databases can have a lot of user actions, self joining and running an
aggregate on millions of rows can be very costly
This optimisation will reduce the regular window of consistency down to 13
hours, this ensures the job runs much faster
This reduces chances of errors where consumers of strings mutate inputs
and reduces memory usage of the app.
Test suite passes now, but there may be some stuff left, so we will run
a few sites on a branch prior to merging
Includes support for flags, reviewable users and queued posts, with REST API
backwards compatibility.
Co-Authored-By: romanrizzi <romanalejandro@gmail.com>
Co-Authored-By: jjaffeux <j.jaffeux@gmail.com>
Introduce new patterns for direct sql that are safe and fast.
MiniSql is not prone to memory bloat that can happen with direct PG usage.
It also has an extremely fast materializer and very a convenient API
- DB.exec(sql, *params) => runs sql returns row count
- DB.query(sql, *params) => runs sql returns usable objects (not a hash)
- DB.query_hash(sql, *params) => runs sql returns an array of hashes
- DB.query_single(sql, *params) => runs sql and returns a flat one dimensional array
- DB.build(sql) => returns a sql builder
See more at: https://github.com/discourse/mini_sql
- remove inactive user report and replace with posts
- clean up internals so grouping by week happens on client
- when switching periods old report was not destroyed leading to bugs
- calculate trend based on previous interval ... not previous 30 days
- show percentages for mau/dau
- be more careful about utc date usage
- show uniqu and click through rate on search panel
- publish key of report with report so we only load the correct one
- subscribe earlier in channel in case of concurrency issues
This is useful if they have a different mechanism for rendering an
avatar and want to include custom columns via the `custom_avatar_column`
plugin function.
