[ANNOUNCE] dbt-impala v1.1.0 adapter released

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We are pleased to announce the release of the dbt-impala adapter v1.1.0. This release is compatible and tested with dbt-core v1.1.0.

https://pypi.org/project/dbt-impala/1.1.0/

https://github.com/cloudera/dbt-impala/releases/tag/v1.1.0

Full dbt-core v1.1.0 release notes can be found here, including a number of bug-fixes and improvements and support for Python 3.10 under the hood.

Adapter Enhancements and New Features

• Adopted new dbt methods provided in dbt 1.1.0
• Fix for an issue with get_catalog that caused empty catalog to be generated (#36)
• Ensure lower case for pattern passed to "show tables in" query (#37)
• Add timeout for snowplow endpoint to handle air gapped environments (#38)
• Bump version number to 1.1.0 to align with dbt-core versioning
• Python 3.10 compatibility as a result of migrating to dbt-core=1.1.0

Getting started with dbt-impala

• Read the Getting started with dbt-impala & Cloudera Data Warehouse guide
• Watch the video Using the dbt-impala example repo to bootstrap your dbt project
• Install the latest adapter from PyPi

Coming Soon

Watch this space for our adapter for Spark in Datahub using Livy!

As always, we welcome your feedback. Please send your comments and suggestions to us through our community group hub. You can also file issues through Github https://github.com/cloudera/dbt-impala.