* use mat properties for event and person prop value autocomplete
* ignore is_deleted = true person properties
* bugfixes
* remove whitespace
* typo
* test and snapshot materialized columns
* test and snapshot materialized columns
* extract property value query helpers
* add benchmark for property values
* fix pycharm auto-import
* version insights
* version and lock update
* make sure all tests work
* restore exception
* fix test
* fix test
* add specific id
* update plugin server test utils
* cleanup
* match filtering
* use timestamp comparison
* make tests work
* one more test field
* fix more tests
* more cleanup
* lock frontend when updating and restore refresh
* pass undefined
* add timestamp to background update
* use incrementer
* add field
* snapshot
* types
* more cleanup
* update tests
* remove crumbs
* use expressions
* make nullable
* batch delete
* fill null for static cohorts
* batch_delete
* typing
* remove queryset function
* convert to actor form
* change var name
* remove unused imports
* typing issue
* use subquery
* bad import
* groups for general retention query
* actor in period
* update imports
* update test
* remove comment
* Add logging to all postgresql queries with query context
Uses the exact same pattern as we do currently for clickhouse, just
hooking in there differently
* Support psycopg2.sql.SQL
* Better docs
* update a test
* test(retention): add http api tests for retention breakdowns
This just adds tests for person and event property breakdowns
* Add helper function for substituting clickhouse sql params
* feat(retention): add support for multiple breakdown props
This just reuses the work done for funnel multiple breakdown values. I
haven't tested this with anything other than person or event properties.
Rather than try to get it working for all the other property types.
The change adds a new `breakdowns` parameter to the retention endpoint,
that is the same as for funnels, e.g. it looks like:
```
{
...
"breakdowns": [{"type": "person", "property": "os"}, ...]
...
}
```
The return structure is the same as the non-breakdown version, except we
also include a `breakdown_values` property that is e.g. `["Chrome",
"95"]`, and the `label` attribute for this case would be "Chrome::95".
* fix typing
* update query snapshots
* remove unused imports
* use `self.assertEqual` instead of `assert`
* Remove explicit should_join_persons
* Revert limit by changes, use breakdown_type
* update snapshots
* fix typing
* use json_encode_request_params in retention test requests
* update json_encode_request_params to encode_get_request_params to better reflect purpose
* perf(retention): add benchmark query for retention with breakdown
* no materialize
This was pretty much as copy paste job from the stickiness cases. I'm
going to be merging in some changes to retention so I want to get this
in first such that we can see if it affects the perf of these queries at
all. I don't think it touches them, as seen by the snapshot queries
generated by the retention tests not changing in
https://github.com/PostHog/posthog/pull/7431 but better safe than sorry.
Addresses [this comment](https://github.com/PostHog/posthog/pull/7431#pullrequestreview-820773405)
* WIP: Create new property types for simplified cohorts
* Add documentation on simplified_cohort_filter_properties
* Handle static-cohort/precalculated-cohort property types
* Handle new property filters properly
* Add casting
* Test cohorts in more cases
* Fix a bug
* Fix benchmark simplifying
* Avoid redoing work every setup for benchmarks
* Update typing;
* Remove unneeded scope
* Add tests for simplifying and cohorts
* Roll more of "do we need to join persons table" behavior into ClickhousePersonQuery class
* Handle precalculated cohort logic in sessions
* Simplify event query
* More tests without any JSONExtract
* Simplify entity properties as well
* Improve docstring
* Add test for breakdown & precalculated cohorts
* Add test for filtering sessions by precalculated cohorts
* Reset unneeded change
* Update cohort
* Solve some typing issues
* Update benchmarking
* Fix cohort filtering tests
* Fix cohort tests
* Fix a caching issue
* Typecheck
* Handle exclusion filters
* Add asv code
* Get a benchmark running
* better output folder
* Move benchmark file
* Cleanup of config
* Run a query and benchmark
* Skip benchmarks for isort
* Set up materialized columns before test
* Better skipping logic
* Add first proper benchmark, add some documentation
* Person property filtering
* Add new workflow
* Show stderr in test run
* Continue debugging actions
* Try to save benchmark results to separate repo
* Output to main directory
* Scheduling
* Remove if temporarily
* Int for ms
* Comment on the PR
* Collapsible section
* Update README
* Clarification
* Remove h3
* Remove pyproject.toml, .gitignore changes that are unneeded
