All Versions
36
Latest Version
Avg Release Cycle
9 days
Latest Release
1181 days ago

Changelog History
Page 4

  • v0.3.2 Changes

    February 17, 2020

    ๐Ÿ†• New Functionalities

    • โž• Add header and filename arguments to Pandas.to_csv()

    โœจ Enhancements

    • Pandas.read_parquet() will return Int64 for integers with null values mixed #132
    • Pandas.to_redshift() now is able to cast Int64 for integers with null values mixed #132

    ๐Ÿ› Bug Fixies

    • s3.head_object_with_retry() public again #133

    _ P.S. _ Lambda Layer's bundle and Glue's wheel/egg are available below. Just upload it and run!

    _ P.P.S. _ Have you never used Layers? Check the step-by-step guide.

    _ P.P.P.S. _ AWS Data Wrangler counts on compiled dependencies (C/C++) so there is no support for Glue PySpark by now (Only Glue Python Shell).

  • v0.3.1 Changes

    February 11, 2020

    ๐Ÿ†• New Functionalities

    • Add pandas.read_fwf(), read_fwf_list(), read_fwf_prefix() for fixed-width files #131
    • Support for compressed files for pandas.read_csv(), read_csv_list() and read_csv_prefix() #129
    • ๐Ÿ‘Œ Support for consistent view on emr.create_cluste() #130

    โœจ Enhancements

    • ๐Ÿ‘Œ Support for Python 3.8
    • โฌ†๏ธ Bumping Pandas version to 1.0.1
    • โฌ†๏ธ Bumping PyArrow version to 0.16.0

    ๐Ÿ“„ Docs

    • ๐Ÿ†• New documentation page

    _ P.S. _ Lambda Layer's bundle and Glue's wheel/egg are available below. Just upload it and run!

    _ P.P.S. _ Have you never used Layers? Check the step-by-step guide.

    _ P.P.P.S. _ AWS Data Wrangler counts on compiled dependencies (C/C++) so there is no support for Glue PySpark by now (Only Glue Python Shell).

  • v0.3.0 Changes

    February 04, 2020

    โœจ Enhancements

    • ๐Ÿ‘Œ Support for Pandas 1.0.0
    • ๐Ÿ‘Œ Support for all pandas.read_csv() arguments
    • ๐Ÿ‘Œ Support for custom VARCHAR length for Aurora and Redshift

    _ P.S. _ Lambda Layer's bundle and Glue's wheel/egg are available below. Just upload it and run!

    _ P.P.S. _ Have you never used Layers? Check the step-by-step guide.

    _ P.P.P.S. _ AWS Data Wrangler counts on compiled dependencies (C/C++) so there is no support for Glue PySpark by now (Only Glue Python Shell).

  • v0.2.6 Changes

    January 25, 2020

    โœจ Enhancements

    • Smaller Lambda layers #113
    • ๐Ÿ‘Œ Support for categorical partitions for Pandas.to_parquet() #115
    • ๐Ÿ‘Œ Support for RangeIndex for Pandas.to_parquet() #111
    • โž• Add columns parameter for Pandas.to_csv() #110
    • โž• Add columns parameter for Pandas.to_aurora() #110
    • Improving NaN handling during Pandas.read_sql_athena()
    • ๐ŸŽ Small performance improvements

    ๐Ÿ›  Bugfixes

    • ๐Ÿ›  Fixing bug to unload null values from Aurora #114

    _ P.S. _ Lambda Layer's bundle and Glue's wheel/egg are available below. Just upload it and run!

    _ P.P.S. _ Have you never used Layers? Check the step-by-step guide.

    _ P.P.P.S. _ AWS Data Wrangler counts on compiled dependencies (C/C++) so there is no support for Glue PySpark by now (Only Glue Python Shell).

  • v0.2.5 Changes

    January 15, 2020

    โœจ Enhancements

    • Pandas.to_aurora() improvements
    • Pandas.to_redshift() improvements
    • Pandas.read_sql_athena(ctas_approach=True) improvements
    • Pandas.read_parquet() improvements

    _ P.S. _ Lambda Layer's bundle and Glue's wheel/egg are available below. Just upload it and run!

    _ P.P.S. _ Have you never used Layers? Check the step-by-step guide.

    _ P.P.P.S. _ AWS Data Wrangler counts on compiled dependencies (C/C++) so there is no support for Glue PySpark by now (Only Glue Python Shell).

  • v0.2.1 Changes

    January 09, 2020

    โœจ Enhancements

    • Support for empty dataframe for Pandas.read_sql_athena(ctas_approach=True)
    • Cleaning temp S3 files for Pandas.read_sql_athena(ctas_approach=True)
    • Inverting file format and file compression extensions (key suffix) (Hadoop/Spark/Hive compatibility)
    • Aurora ingestion revisited
    • โฌ†๏ธ Bumping dependencies version
    • Add Pandas.read_csv_prefix()
    • Improve Athena._normalize_name() rules
    • ๐Ÿ‘ Improving autocomplete support
    • Simplifying everything on Sagemaker
    • โž• Adding Glue.get_connection()
    • Adapt read_sql_athena(ctas_approach=True) for eventual consistency caveats.

    ๐Ÿ›  Bugfixes

    • ๐Ÿ›  Fixing bug to fetch Glue tables comments
    • ๐Ÿ›  Fixing Spark for default Session

    ๐Ÿ“„ Docs

    • โž• Add athena_nested.ipynb tutorial
    • Add catalog_and_metadata.ipynb tutorial

    _ P.S. _ Lambda Layer's bundle and Glue's wheel/egg are available below. Just upload it and run!

    _ P.P.S. _ Have you never used Layers? Check the step-by-step guide.

    _ P.P.P.S. _ AWS Data Wrangler counts on compiled dependencies (C/C++) so there is no support for Glue PySpark by now (Only Glue Python Shell).