The text in the README seemed overly Druid-centric at this time. While
originally (3-4 years ago) Superset was heavily focussed on druid, it's
just not accurate anymore. Druid is just one of the databases that we
support and docs should reflect that.
* Support and apply filters.
* Added the UI for row level security, and moved it all under SQLA in order to access the Table model more easily.
* Added a row level security filter documentation entry.
* Accidentally added two new lines to this file.
* Blacked and iSorted, hopefully. Also, sometimes g.user may not be set.
* Another isort, and handling g not having a user attribute another way.
* Let's try this again #CI tests.
* Adjusted import order for isort; I was sure I'd already done this..
* Row level filters should be wrapped in parentheses in case one contains an OR.
* Oops, did not think that would change Black's formatting.
* Changes as per @mistercrunch.
* RLS filters are now many-to-many with Roles.
* Updated documentation to reflect RLS filters supporting multiple rows.
* Let's see what happens when I set it to the previous revision ID
* Updated from upstream.
* There was a pylint error.
* Added RLS ids to the cache keys; modified documentation; added template processing to RLS filters.
* A new migration was merged in.
* Removed RLS cache key from query_object.
* RLS added to the cache_key from query_context.
* Changes as per @etr2460.
* Updating entry for RLS pull request.
* Another migration to skip.
* Changes as per @serenajiang.
* Blacked.
* Blacked and added some attributes to check for.
* Changed to a manual query as per @mistercrunch.
* Blacked.
* Another migration in the meantime.
* Black wanted some whitespace changes.
* AttributeError: 'AnonymousUserMixin' object has no attribute 'id'.
* Oops, did hasattr backwards.
* Changes as per @mistercrunch.
* Doesn't look like text us required here anymore.
* Changes as per @dpgaspar
* Two RLS tests.
* Row level security is now disabled by default via the feature flag ENABLE_ROW_LEVEL_SECURITY.
* New head to revise.
* Changed the comment.
* Added spec for Dremio
* Installation instructions for Dremio
* added dependency for dremio
* Update dremio.py
* ASF header, dttm, set min version in setup.py
* Update installation.rst
* Update installation.rst
* fix tox 'Title underline too short.'
* change URI example
Co-authored-by: Naren <41924335+naren-dremio@users.noreply.github.com>
* added user tutorial and rearranged docs hierarchy
* added license header, renamed admin tutorial file
* fixed image url issue
* Fix spelling
* Tweaks to text based on feedback
* guilabel and menu test
* added guilabel and upload csv section
* tidy up of rst formatting
* Provide documentation for using a Service Account to connect to BigQuery
* Alter line wrapping for shorter lines
* Whitespace commit to trigger another build (flake)
* Another meaningless whitespace change to trigger another build
* Add support for Exasol
* add time grain functions for Exasol
* remove duplicate of
* override ExasolEngineSpec's fetch_data method
* remove duplicate https
* simplify super call
* chore: deprecate restricted metrics
An early community contribution added the concept of restricted metrics.
The idea was to allow for some metrics to be restricted, and if a metric
was tagged as such, a user would need to be given access to that metric
more explicitely, through a special perm we would maintain for that
metric.
Now since the new concept of "Adhoc Metrics", the popover that lets a
user pick a column and an aggregate function or to write their own SQL
expression inline, this restriction is completely bypassed. Adhoc
metrics was developed without the restricted metrics in mind.
Anyhow, in the near future, we'll be rethinking the ideas behind
data-access permissions, and things like column-level or row-level
security will be redesigned from scratch.
By deprecating this feature, we're removing a confusing and mostly broken
feature, and making it easy to move forward
* Use context manager to drop columns
* disable jest's maxWorkers
* Add support for msgpack results_backend serialization
* Serialize DataFrame with PyArrow rather than JSON
* Adjust dependencies, de-lint
* Add tests for (de)serialization methods
* Add MessagePack config info to Installation docs
* Enable msgpack/arrow serialization by default
* [Fix] Prevent msgpack serialization on synchronous queries
* Add type annotations