v23.06.2
New minor release 23.06.2:
- mvn jar file: https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark-tools_2.12/23.06.2/
- pypi package: https://pypi.org/project/spark-rapids-user-tools/
Changes:
- Qualification tool to report with granularity on unsupported operators (#401) (githubweb)
- Bug fix for supported expressions (#408) (githubweb)
- [DOC] Fix documentation and consistency in arguments for the EMR user-tools (#413) (githubweb)
- Remove serverless execution mode from the EMR-wrapper (#421) (githubweb)
- Remove cluster-mode execution wrapper (#424) (githubweb)
- [TASK] Implement classes and methods to support user tools profiling command for Databricks Azure (#423) (githubweb)
- Add platform argument in profiling tool for custom tuning based on the platform (#414) (githubweb)
- [DOC] Add documentation for running user tools profiling command for Databricks Azure (#430) (githubweb)
- update diagnostic unit-tests to support var directory (#429) (githubweb)
- Fix broken tables and code blocks in profiling-tool docs (#435) (githubweb)
- Support onprem platform for user-tools profiling command (#431) (githubweb)
- Add ascli as a new simplified tools command (#426) (details
- update more details for databricks azure user qualification tool doc (#438) (githubweb)
- Bump build version to 23.06.2 (#439) (details