Tags: NeuroLang/dask-sql
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0.3.0 Features: * Allow for an sqlalchemy and a hive cursor input (dask-contrib#90) * Allow to register the same function with multiple parameter combinations (dask-contrib#93) * Additional datetime functions (dask-contrib#91) * Server and CMD CLI script (dask-contrib#94) * Split the SQL documentation in subpages and add a lot more documentation (dask-contrib#107) * DROP TABLE and IF NOT EXISTS/REPLACE (dask-contrib#98) * SQL Machine Learning Syntax (dask-contrib#108) * ANALYZE TABLE (dask-contrib#105) * Random sample operators (dask-contrib#115) * Read from Intake Catalogs (dask-contrib#113) * Adding fugue integration and tests (dask-contrib#116) and fsql (dask-contrib#118) Bugfixes: * Keep casing also with unquoted identifiers. Fixes dask-contrib#84. (dask-contrib#88) * Scalar where clauses (dask-contrib#89) * Check for the correct java path on Windows (dask-contrib#86) * Remove # pragma once where it is not needed anymore (dask-contrib#92) * Refactor the hive input handling (dask-contrib#95) * Limit pandas version (dask-contrib#100) * Handle the case of the java version is undefined correctly (dask-contrib#101) * Add datetime[ns, UTC] as understood type (dask-contrib#103) * Make sure to treat integers as integers (dask-contrib#109) * On ORDER BY queries, show the column names of the SELECT query (dask-contrib#110) * Always refer to a function with the name given by the user (dask-contrib#111) * Do not fail on empty SQL commands (dask-contrib#114) * Fix the random sample test (dask-contrib#117)
Increase speed and parallelism of the limit algorithm and implement d… …escending sorting (dask-contrib#75) * Increase speed and parallelism of the limit algorithm * Fixed docs * Implement descending sorting. Fixes dask-contrib#10 * Replace two delayed usages. Thanks @mrocklin * Remoe the reference to the function - to make it usable without dask-sql installation on the workers
Docker images with latest tag (dask-contrib#73) * Deploy the latest tag using a newer version of the docker action * Use the correct tag name in all examples * Temporarily also build in PRs for testing
Implement a SQL server speaking the presto protocol (dask-contrib#56) * Implement a SQL server speaking the presto protocol This server can be used to run dask-sql in a standalone application. It is e.g. possible to run it in a dask-cluster and answer SQL queries from external. * Stylefix * Fixes to docker build setup
Implement a SQL server speaking the presto protocol (dask-contrib#56) * Implement a SQL server speaking the presto protocol This server can be used to run dask-sql in a standalone application. It is e.g. possible to run it in a dask-cluster and answer SQL queries from external. * Stylefix * Fixes to docker build setup
[WIP] Run on ubuntu and windows (dask-contrib#26) * Run on ubuntu and windows * Specify the full binary path for Windows * Make sure to properly print out the parameters * Do not test for dtypes, as Windows seems not to be consistent with Linux here * Fix a wrong jvmpath Normally, jpype is quite good in finding the correct class path. However, for conda installations on windows server, it seems to pick up the wrong dll.
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