awswrangler 1.7.0

AWS Data Wrangler 1.7.0

on Python PyPI

Breaking changes

• The partitioned parquet reading now has a different approach for pushdown filters. For details check the tutorial

New Functionalities

• Global configuration module - TUTORIAL
• Concurrently partitions write - TUTORIAL
• Flexible Partitions Filter (PUSH-DOWN) - TUTORIAL
• Add Athena query metadata to Pandas DataFrames returned by wr.athane.read_sql_*() - TUTORIAL #331
• wr.athena.describe_table() #329
• wr.athena.show_create_table() #334
• Add path_ignore_suffix argument to all read functions #326

Enhancements

• Support for PyArrow 1.0.0 #337
• Support for Pandas 1.1.0
• Support writing encrypted redshift copy manifest to S3 #327
• wr.athane.read_sql_*() now accepts empty results #299
• Allow connect_args to be passed when creating an SQL engine from a glue connection #309
• Add skip_header_line_count argument to wr.catalog.create_csv_table() #338

Bug Fix

• Add missing type annotations and fix types in docstrings. #321
• KeyError: 'StatementType' with Athena using max_cache_seconds #323
• wr.s3.read_csv() slow with chunksize #324
• wr.s3.read_csv() with "chunksize" does not forward pandas_kwargs "encoding" #330
• Ensure DataFrame mutability for wr.athane.read_sql_*() w/ ctas_approach=True #335

Docs

• Several small updates.

Thanks

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

@kylepierce, @davidszotten, @meganburger, @erikcw, @JPFrancoia, @zacharycarter, @DavideBossoli88, @c-line, @anand086, @jasadams, @mrtns, @schot, @koiker, @flaviomax, @bryanyang0528, @igorborgest.

P.S. Lambda Layer zip file and Glue wheel file are available below. Just upload it and run!