We are excited to announce the release of Delta Lake 1.2.1 on Apache Spark 3.2. Similar to Apache Spark™, we have released Maven artifacts for both Scala 2.12 and Scala 2.13.

• Documentation: https://docs.delta.io/1.2.1/index.html
• Maven artifacts: delta-core_2.12, delta-core_2.13, delta-contribs_2.12 delta_contribs_2.13, delta-storage, delta-storage-s3-dynamodb
• Python artifacts: https://pypi.org/project/delta-spark/1.2.1/

Key features in this release

• Fix an issue with loading error messages in --packages mode. Previous release had a bug that resulted in user getting NullPointerException instead of proper error message when using Delta Lake with --packages mode either in pyspark or spark-shell (Fix, Test)
• Fix incorrect exception type thrown in some Python APIs. A bug caused pyspark to throw incorrect type of exceptions instead of expected AnalysisException. This issue is fixed. See issue #1086 for more details.
• Fix for S3 multi-cluster mode configuration. A bug in the S3 multi-cluster mode caused --conf to not work for certain configuration parameters. This issue is fixed by having these configuration parameters begin with spark. See the updated documentation.
• Make the GCS LogStore configuration simpler by automatically deriving the LogStore implementation class config spark.delta.logStore.gs.impl from the scheme in the table path. See the updated documentation.
• Make SetAccumulator thread safe. SetAccumulator used by Merge was not thread safe and might cause executor heartbeat failures in rare cases. This was fixed by using a synchronized set.

Credits

Allison Portis, Chang Yong Lik, Kam Cheung Ting, Rahul Mahadev, Scott Sandre, Venki Korukanti