Features

• Allow for multiple schemas (#205)
• AutoML capabilities (#199)
• Implement the regr count SQL operator (#193)
• ML model improvement : Added SHOW MODELS, EXPORT MODEL and DESCRIBE MODEL (#185, #191)
• Implement the search and sargs operator (#184)

Bugfixes

• Fixes for pandas 1.3.0 (#202)
• Fix test fixture order (#194)
• Fix a failing build, as ciso8601 is currently not pip-installable (#192)

Bugfixes

• Casting of literals is done by Calcite, except for strings (#178)

Bugfixes

• Speed up aggregations when there are no aggregates (#174)
• Register the lower and upper-case version of a function (#177)
• Reverting a bug in the casting logic to cast only if really needed (#176)

Small feature addons

• Added correct casting and mod operation (#172)
• Implement OVER for arbitrary windows (#164)
• Allow to start a SQL server from a jupyter notebook (#162)

Bugfixes and Improvements

• Sort optimizations (#167, #173)
• Fix scikit learn version in docker file
• Add test with independent dask cluster (#165)
• Speed up builds with mamba (#171)
• Remove version constraints for pandas and dask as the errors were fixed upstream (#170)
• Fixed the replacement of functions/aggregations and added a test (#169)
• Added missing version in pom

Small feature addons

• Allow function reregistration (#161)
• upgrade fugue dependency (#160)
• Implement a wrapper for the prompt_toolkit session (#159)

Small feature addons

• First working (but slow) implementation of OVER (#157)
• Add a visualize function (#153)
• IPython/Jupyter Magic (#146)
• Hive/Databricks from SQL (#145)

Bugfixes and Improvements

• Improve documentation
• Better cross joins (#150)
• Fix a bug which occurs when only filters are present in groupbys (#154)
• Make testing a bit easier to type
• Fix a warning on regexes
• Split out the jupyter notebook integration (#152)
• Add pre commit hook (#149)
• Limit the dask version until the dask-ml problem is fixed (#147)
• Turn off docker image building of PRs
• Fix integration with dbfs using the newest fsspec version (#140)
• Show a reasonable traceback on exceptions (#142)
• Docker image improvements (#137)
• Support for Float (pandas extension type) and filter with NaNs (#136)

Small feature addons

• Aggregate improvements and SQL compatibility (#134)
• New call operations (#122)
• Added notebook with a 'Tour de dask-sql' (#119)

Bugfixes and Improvements

• Docs improvements (#132)
• Fix the fugue dependency (#133)
• Pandas dependency fix (#129)
• Added missing iris.csv data set
• Pip installation docs improvement (#128)
• Correctly sort NULLs (#126)
• Importlib import (#125)
• Do not touch already installed dask and pandas version as this may lead to incompatibilities (#123)
• Average decimal type (#121)
• Fixing a bug in column container copies (#120)

Features

• Allow for an sqlalchemy and a hive cursor input (#90)
• Allow to register the same function with multiple parameter combinations (#93)
• Additional datetime functions (#91)
• Server and CMD CLI script (#94)
• Split the SQL documentation in subpages and add a lot more documentation (#107)
• DROP TABLE and IF NOT EXISTS/REPLACE (#98)
• SQL Machine Learning Syntax (#108)
• ANALYZE TABLE (#105)
• Random sample operators (#115)
• Read from Intake Catalogs (#113)
• Adding fugue integration and tests (#116) and fsql (#118)

Bugfixes

• Keep casing also with unquoted identifiers. (#88)
• Scalar where clauses (#89)
• Check for the correct java path on Windows (#86)
• Remove # pragma once where it is not needed anymore (#92)
• Refactor the hive input handling (#95)
• Limit pandas version (#100)
• Handle the case of the java version is undefined correctly (#101)
• Add datetime[ns, UTC] as understood type (#103)
• Make sure to treat integers as integers (#109)
• On ORDER BY queries, show the column names of the SELECT query (#110)
• Always refer to a function with the name given by the user (#111)
• Do not fail on empty SQL commands (#114)
• Fix the random sample test (#117)

Bugfixes and Improvements

• Use new conda github action to prevent a failed build (#85)

Bugfixes and Improvements

• Increase speed and parallelism of the limit algorithm and implement descending sorting (#75)
• Improved the ability to create (materialized) views of queries (#77)
• Added missing __version__ variable (#79)
• Improved Docker image (#78)
• Allow arbitrary return types in SQL server (#76)
• Bugfix: Added tzlocal dependencies