* Add presto to the CI
Sample test data
Datetime conversion
Sample test data
Fix tests
* TODO to switch to timestamps
* Address feedback
* Update requirements
* Add TODOs
Co-authored-by: bogdan kyryliuk <bogdankyryliuk@dropbox.com>
* Switch from nosetest to pytest
Fix schedule tests
Collect pytest coverage
Move pytest config into pytest.ini
Move cov to the pytest.ini
* Append coverage for the 2nd run
* Add coverage to all commands
* Coverage only for tests
* Get coverage from 1 place
* Rename classes to be pytest compatible
* Test coverage for examples and tests
* Max diff to -1
* Explain how to run pytest for the whole project
* Do not append code coverage for the main run
* Do not run coverage on examples
Co-authored-by: bogdan kyryliuk <bogdankyryliuk@dropbox.com>
* Make schema name configurable
Fixing unit tests
Fix table quoting
Mypy
Split tests out for sqlite
Grant more permissions for mysql user
Postgres doesn't support if not exists
More logging
Commit for table creation
Priviliges for postgres
Update tests
Resolve comments
Lint
No limits for the CTA queries if configures
* CTA -> CTAS and dict -> {}
* Move database creation to the .travis file
* Black
* Move tweaks to travis db setup
* Remove left over version
* Address comments
* Quote table names in the CTAS queries
* Pass tmp_schema_name for the query execution
* Rebase alembic migration
* Switch to python3 mypy
* SQLLAB_CTA_SCHEMA_NAME_FUNC -> SQLLAB_CTAS_SCHEMA_NAME_FUNC
* Black
* Use PyArrow Table for query result serialization
* Cleanup dev comments
* Additional cleanup
* WIP: tests
* Remove explicit dtype logic from db_engine_specs
* Remove obsolete column property
* SupersetTable column types
* Port SupersetDataFrame methods to SupersetTable
* Add test for nullable boolean columns
* Support datetime values with timezone offsets
* Black formatting
* Pylint
* More linting/formatting
* Resolve issue with timezones not appearing in results
* Types
* Enable running of tests in tests/db_engine_specs
* Resolve application context errors
* Refactor and add tests for pyodbc.Row conversion
* Appease isort, regardless of isort:skip
* Re-enable RESULTS_BACKEND_USE_MSGPACK default based on benchmarks
* Dataframe typing and nits
* Renames to reduce ambiguity
* First cut at app factory
* Setting things back to master
* Working with new FLASK_APP
* Still need to refactor Celery
* CLI mostly working
* Working on unit tests
* Moving cli stuff around a bit
* Removing get in config
* Defaulting test config
* Adding flask-testing
* flask-testing casing
* resultsbackend property bug
* Fixing up cli
* Quick fix for KV api
* Working on save slice
* Fixed core_tests
* Fixed utils_tests
* Most tests working - still need to dig into remaining app_context issue in tests
* All tests passing locally - need to update code comments
* Fixing dashboard tests again
* Blacking
* Sorting imports
* linting
* removing envvar mangling
* blacking
* Fixing unit tests
* isorting
* licensing
* fixing mysql tests
* fixing cypress?
* fixing .flaskenv
* fixing test app_ctx
* fixing cypress
* moving manifest processor around
* moving results backend manager around
* Cleaning up __init__ a bit more
* Addressing PR comments
* Addressing PR comments
* Blacking
* Fixes for running celery worker
* Tuning isort
* Blacking
* Typo fix in CONTRIBUTING.md
* Alter references to config.get('FOO') to use preferred config['FOO']
* Set missing configuration constants in superset/config.py
* Misc. CI fixes
* Add type annotation for FEATURE_FLATGS
* 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
* [WiP] improve load_examples
related to #7472, longer term we will generate the examples by exporting
them into tarball as in #7472. In the meantime, we need this subset of
the features:
* allowing specifying an alternate database connection for examples
* allowing a --only-metadata flag to `load_examples` to load only
dashboard and chart definitions, no actual data is loaded
* Improve logging
* Rename data->examples
* Load only if not exist
* By default do not load, add a force flag
* fix build
* set published to true
* Making thrift, pyhive and tableschema as extra_requires
Looking at the dependency tree for license related questions, I noticed
that tableschema had a huge tree, and only people running Hive really
need it. Making this as well as pyhive and thrift optional.
Also bumping some python dependencies
* Run pip-compile
* Removing refs to past.builtins (from future lib)
* Add thrift
* [utils] gathering/refactoring into a "utils/" folder
Moving current utils.py into utils/core.py and moving other *util*
modules under this new "utils/" as well.
Following steps include eroding at "utils/core.py" and breaking it down
into smaller modules.
* Improve tests
* Make loading examples in scope for tests
* Remove test class attrs examples_loaded and requires_examples
* Bug: fixing async syntax for python 3.7
Rename async to async_ so superset installs for python 3.7.
* Addressing PR comments. Use kwargs instead of explicitly specifying async_ so downstream engines (e.g. PyHive) that supports async can choose to use the async_ in pythonwq3.7 and async in <=python3.6
* addressing additional pr comments
* Migrate flask_script to the Flask built-in click.
Flask 0.11 is the built-in integration of the click command line interface.
Flask-Migrate support for the new Flask CLI based on Click after Release 2.0.0.
* Resolved merge conflicts.
* Fixed issue introduced from bad merge.
* Fixed flake8 errors, added build to excluded flake8 stuff.
* * Moved the FlaskGroup declaration to the driver script.
* Moved shell context definition to cli.py
* Switched shell context definition to use decorator.
* Moved create_app definition to cli.py
* Fixed InvocationError with a wrapped function
* Added extra newlines between functions
* Removed flask-script dependency.
* Improve database type inference
Python's DBAPI isn't super clear and homogeneous on the
cursor.description specification, and this PR attempts to improve
inferring the datatypes returned in the cursor.
This work started around Presto's TIMESTAMP type being mishandled as
string as the database driver (pyhive) returns it as a string. The work
here fixes this bug and does a better job at inferring MySQL and Presto types.
It also creates a new method in db_engine_specs allowing for other
databases engines to implement and become more precise on type-inference
as needed.
* Fixing tests
* Adressing comments
* Using infer_objects
* Removing faulty line
* Addressing PrestoSpec redundant method comment
* Fix rebase issue
* Fix tests
* [sql lab] a better approach at limiting queries
Currently there are two mechanisms that we use to enforce the row
limiting constraints, depending on the database engine:
1. use dbapi's `cursor.fetchmany()`
2. wrap the SQL into a limiting subquery
Method 1 isn't great as it can result in the database server storing
larger than required result sets in memory expecting another fetch
command while we know we don't need that.
Method 2 has a positive side of working with all database engines,
whether they use LIMIT, ROWNUM, TOP or whatever else since sqlalchemy
does the work as specified for the dialect. On the downside though
the query optimizer might not be able to optimize this as much as an
approach that doesn't use a subquery.
Since most modern DBs use the LIMIT syntax, this adds a regex approach
to modify the query and force a LIMIT clause without using a subquery
for the database that support this syntax and uses method 2 for all
others.
* Fixing build
* Fix lint
* Added more tests
* Fix tests
* move access permissions methods to security manager
* consolidate all security methods into SupersetSecurityManager
* update security method calls
* update calls from tests
* move get_or_create_main_db to utils
* raise if supersetsecuritymanager is not extended
* rename sm to security_manager
* [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