AWS Data Wrangler 2.0.0

Breaking changes

• sqlalchemy and psycopg2 dependencies replaced by redshift_connector and pg8000
• All wr.db.* functions was distributed into wr.redshift.*, wr.postgresql.* and wr.mysql.* (Tutorial)
• Redshift COPY and UNLOAD function was refactored into wr.redshift.* (Tutorial)
• wr.catalog.get_engine() was replaced by wr.redshift.connect(), wr.postgresql.connect(), wr.mysql.connect() (Tutorial)

New Functionalities

• Amazon Timestream support (Tutorial)

Enhancements

• General performance improved for s3 I/O removing eventual consistency guardrails (Reference)
• Add retry with decorrelated jitter for Athena and Glue Catalog calls to overcome throttling in high concurrency scenarios.

Docs

• Updates regarding all new functionalities
• Add Amazon Timestream tutorial
• Add Amazon Timestream tutorial 2

AWS re:Invent related news

• AWS Lambda now supports up to 10 GB of memory and 6 vCPU cores
• Amazon S3 now delivers strong read-after-write consistency
• AWS Lambda now supports container images as a packaging format
• Serverless Batch Scheduling with AWS Batch and AWS Fargate

Thanks

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

@Brooke-white, @danielwo, @sapientderek, @pmleveque, @igorborgest.

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

AWS Data Wrangler 1.10.1

New Functionalities

• catalog.add_column() #451
• catalog.delete_column() #451

Enhancements

• Deterministic result for s3.read_parquet_metadata() #449
• ~30% faster package import time #460

Bug Fix

• Fix Athena read with ctas_approach=False and chunksize=True #458
• Fix overwriting for not enforced configs #450

Docs

• Small fixes #462 #458 #446

Thanks

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

@tuannguyen0901, @bryanyang0528, @czagoni, @jesusch, @danielwo, @DonghanYang, @eric-valente, @igorborgest.

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

AWS Data Wrangler 1.10.0

New Functionalities

• Add configurable Endpoint URL for AWS services #418
• Add global environment configuration for Athena workgroups #437

Enhancements

• Support for Apache Arrow 2.0.0 #436
• Allow Decimal to float casting for wr.db.read_sql_query() #431
• Allow unsafe conversions for wr.db.read_sql_query() #427

Bug Fix

• QuickSight functions now allow usernames with "/" #434
• Fix duplicated carriage return for wr.s3.to_csv() running on Windows platform.

Thanks

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

@martinSpears-ECS, @imanebosch, @Eric-He-98, @brombach, @Thomas-Hirsch, @vuchetichbalint, @igorborgest.

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

AWS Data Wrangler 1.9.6

Enhancements

• Add encrypted glue connection management #413

Bug Fix

• Double carriage return when using \r\n as line terminator (s3.to_csv()) #415
• s3.read_parquet failing with some timezone aware columns #417

Thanks

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

@jeanbaptistepriez, @mike-at-upside, @Thiago-Dantas, @igorborgest.

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

AWS Data Wrangler 1.9.5

Enhancements

• General exceptions handling improvements #409
• General error messages improvements #409

Bug Fix

• [Parquet Read] Fix index recovery combined with columns filter #408

Docs

• Handling and documenting ctas_approach for custom data sources #392

Thanks

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

@tasq-inc, @igorborgest.

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

AWS Data Wrangler 1.9.4

Enhancements

• Add s3_additional_kwargs for wr.s3.copy_objects() and wr.s3.merge_datasets() #388
• Add data_source argument for Athena queries #392
• Handling parquet tinyint columns on Redshift loads #400

Bug Fix

• Fix issue with Hive partitions compatibility. #397
• Fix missing catalog_id arguments in partitioned wr.s3.to_parquet() calls #399
• Remove adaptive retry for boto3 resource. #403

Docs

• Few updates.

Thanks

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

@timgates42, @bvsubhash, @DonghanYang, @sl-antoinelaborde, @Xiangyu-C, @tuannguyen0901, @JPFrancoia, @sapientderek, @igorborgest.

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

AWS Data Wrangler 1.9.3

Bug Fix

• Fix bug for wr.s3.read_parquet() with timezone offset. #385

Thanks

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

@chrisrana, @igorborgest.

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

AWS Data Wrangler 1.9.2

Bug Fix

• Fix issues in reading Parquet files with timestamp (timezone aware) columns. #382 #383

Thanks

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

@tasq-inc, @chrisrana, @igorborgest.

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

AWS Data Wrangler 1.9.1

Enhancements

• Significant Amazon S3 I/O speed up for big files #377
• Create Parquet Datasets with columns with CamelCase names #380

Bug Fix

• Read Parquet error for some files created by DMS #376

Docs

• Few updates.

Thanks

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

@jarretg, @chrisrana, @vikramshitole, @igorborgest.

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

AWS Data Wrangler 1.9.0

Breaking changes

• Global configuration s3fs_block_size was replaced by s3_block_size #370

New Functionalities

• Automatic recovery of Pandas indexes from Parquet files. #366
• Automatic recovery of Pandas time zones from Parquet files. #366
• Optional schema evolution disabling through the new schema_evolution argument. #353

Enhancements

• s3fs dependency was replaced by builtin code. #370
• Significant Amazon S3 I/O speed up for high latency environments (e.g. local, on-premises). #370

Bug Fix

• Improve NaN handling. #362
• Sanitise table name for partitions insertion #360

Docs

• Few updates.

Thanks

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

@isrsal, @bppont, @weishao-aws, @alexifm, @Digma, @samcon, @TerrellV, @msantino, @alvaropc, @luigift, @igorborgest.

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