* Feature: added datepicker and time granularity options to dashboard filter
* Added option for Druid datasource time filters
* added more checkbox control over dashboard time filters
* exposed API endpoint to get querystring for a slice
* Added unit tests for endpoint
* fixed test case for python3
* moved get querystring logic into its own func
* renamed query string endpoint
* Add "Impersonate user" setting to Datasource
* Add tests
* Use g.user.username for all the sync cases
* use uri.username instead of uri.user
* Small refactoring
* [explore] fixed padding bug on filter section
* fix slice_id logging issue
* [superset-sqllab] fix slice_id population in appropriate column
* [explore-logging] test the slice_id logging fix
* fix travis errors
* fix nits pointed out in PR comments
* cleanup tests
* made python more beautiful
* made python even more beautiful
* made python even more more beautiful
* made python even more more more beautiful
* fix lint error
* make exception handling more specific
* fixed silly error
* fixed argument indentation
* [add] Save filters to dashboard
* format code
* fix CI error
* add semicolon semi
* fix none object
* add test data
optimize the js code
fix the compatibility issue
* fix urllib to urllib.parse
* add space
* update test case
* remove 'return'
* fix error
* update test case
* [druid] Allow custom druid postaggregators
Also, fix the postaggregation for approxHistogram quantiles so it adds
the dependent field and that can show up in the graphs/tables.
In general, postAggregators add significant power, we should probably
support including custom postAggregators. Plywood has standard
postAggregators here, and a customAggregator escape hatch that allows
you to define custom postAggregators.
This commit adds a similar capability for Superset and a additional
field/fields/fieldName breakdown of the typical naming for dependent
aggregations, which should make it significantly easier to develop
approxHistogram and custom postAggregation-required dashboards.
* [druid] Minor style cleanup in tests file.
* [druid] Apply code review suggestions
* break out CustomPostAggregator into separate class. This just cleans
up the creation of the postaggregator a little bit.
* minor style issues.
* move the function around so the git diff is more readable
* [sqllab] improve Hive support
* Fix "Transport not open" bug
* Getting progress bar to show
* Bump pyhive to 0.4.0
* Getting [Track Job] button to show
* Fix testzz
* upgrade celery to 4.0.2
* using Redis for unit tests (sqla broker not supported in Celery 4)
* Setting Celery's soft_time_limit based on `SQLLAB_ASYNC_TIME_LIMIT_SEC` config
* Better error handling in async tasks
* Better statsd logging in async tasks
* show [pending/running] query status in Results tab
* systematically using sqla NullPool on worker (async) to limit number
of database connections
* sort explicitly on label
* add simple test for /slicemodelview/add endpoint
* make comments and method names more clear
* fix test name
* be more explicit, test status_code
* sql_lab.py: compress via utils
* utils.py: added zlib_compress and zlib_compress_to_string
* core.py: converted to use zlib_decompress_to_string; renamed uncompress to decompress in utils.py
* utils_tests.py: added test for compress/decompress
* fixed broken utils test; removed redundant code and empty lines from utils.py
* utils.py: corrected docstrings, removed unnecessary 'else'
* removed yet another superfluous else
* [sqllab] assign types for visualize flow
Somehow when using the visualize flow, the types were not
assigned at all, creating some bugs downstream. This PR attempts to get
the information required based on what pandas is knows and the types in
the data itself.
* Fixing tests
* Fixing tests
* Fixing more tests
* Fixing the last py3 tests