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AWS Data Wrangler v1.6.0 Release Notes

Release Date: 2020-06-24 // almost 4 years ago

  • 🆕 New Functionalities

    • 🍱 Amazon Athena CACHE 🚀#285
    • 🎉 Initial AWS STS module

    ✨ Enhancements

    • Numpy 1.19.0
    • Add auto_create and db_groups arguments to get_redshift_temp_engine #288
    • Add validate_schema arguments to wr.s3.read_parquet_table
    • ➕ Add safe argument to read_parquet #296
    • 🔨 Refactor naming of pandas kwargs #291
    • Allow providing suffix to s3.store_parquet_metadata #295
    • Add last_modified_begin and last_modified_begin to list_objects, read_csv, read_json, read_fwf and read_parquet

    🐛 Bug Fix

    • Fix bug on get_table_description on tables w/o description #294

    📄 Docs

    Thanks

    🚀 We thank the following contributors/users for their work on this release:

    @koiker, @patrick-muller, @flaviomax, @acere, @jarretg, @bryanyang0528, @schrobot, @kinghuang, @igorborgest.

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

    _ 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).