AWS Data Wrangler 2.15.0

Noteworthy

⚠️ Dropped Python 3.6 support

⚠️ For platforms without PyArrow 7 support (e.g. MWAA, EMR, Glue PySpark Job):

➡️ pip install pyarrow==2 awswrangler

New Functionalities

• Amazon Neptune module 🚀 #1084 Check out the tutorial. Thanks to @bechbd & @sakti-mishra !
• ARM64 Support for Python 3.8 and 3.9 layers 🔥 #1129 Many thanks @cnfait !

Enhancements

• Timestream module - support multi-measure records #1214
• Warnings for implicit float conversion of nulls in to_parquet #1221
• Support additional sql params in Redshift COPY operation #1210
• Add create_ctas_table to Athena module #1207
• S3 Proxy support #1206
• Add Athena get_named_query_statement #1183
• Add manifest parameter to 'redshift.copy_from_files' method #1164

Documentation

• Update install section #1242
• Update lambda layers section #1236

Bug Fix

• Give precedence to user path for Athena UNLOAD S3 Output Location #1216
• Honor User specified workgroup in athena.read_sql_query with unload_approach=True #1178
• Support map type in Redshift copy #1185
• data_api.rds.read_sql_query() does not preserve data type when column is all NULLS - switches to Boolean #1158
• Allow decimal values within struct when writing to parquet #1179

Thanks

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

@bechbd, @sakti-mishra, @mateogianolio, @jasadams, @malachi-constant, @cnfait, @jaidisido, @kukushking

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P.S. The AWS Lambda Layer file (.zip) and the AWS Glue file (.whl) are available below. Just upload it and run or use them from our S3 public bucket!