AWS Data Wrangler 1.1.0

New Functionalities

• Support for nested arrays and structs on wr.s3.to_parquet() #206
• Support for Read Parquet/Athena/Redshift chunked by number of rows #192
• Add custom_classifications to wr.emr.create_cluster() #193
• Support for Docker on EMR #193
• Add kms_key_id, max_file_size, region arguments to wr.db.unload_redshift() #197
• Add catalog_versioning argument to wr.s3.to_csv() and wr.s3.to_parquet() #198
• Add keep_files and ctas_temp_table_name arguments to wr.athena.read_sql_*() #203
• Add replace_filenames argument to wr.s3.copy_objects() #215

Enhancements

• wr.s3.to_csv() and wr.s3.to_parquet() no longer need delete table permission to overwrite catalog table #198
• Added support for UUID on wr.db.read_sql_query()(PostgreSQL) #200
• Refactoring of Athena encryption and workgroup support #212

Bug Fix

• Support for read full NULL columns from PostgreSQL, MySQL, and Redshift #218

Thanks

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

@robkano ,@luigift, @parasml, @OElesin, @jar-no1, @keatmin, @pmleveque, @sapientderek, @jadayn, @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).