v23.06.4

Packages

• Maven Release: https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark-tools_2.12/23.06.4/
• PyPI Package: https://pypi.org/project/spark-rapids-user-tools/23.06.4/

Changes

User Tools

• Creating custom speedup factors README with generation script (#488)
• Bump dev-version to 23.06.4 (#468)

Core

• [FEA] Enhance qualification tool to handle custom speedup factor file as input (#475)
• Bump dev-version to 23.06.4 (#468)

Miscellaneous

• Add Github workflow to automate changelog and release pages (#486)
• Fix negative GPU speedup in the core qualification module (#487)
• Verify the integrity the downloaded dependencies (#470)

v23.06.3

New minor release 23.06.3:

• mvn jar file: https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark-tools_2.12/23.06.3/
• pypi package: https://pypi.org/project/spark-rapids-user-tools/

Changes:

1. Bump dev version to 23.06.3 (#442) (githubweb)
2. Qualification command should run without cluster-info (#444) (githubweb)
3. Fix mvn warning message for formatting string (#446) ([githubweb)
4. Add Recommendations in AutoTuner for Databricks platform (#440) (githubweb)
5. Update the minimum spark version requirements to run tools (#452) (githubweb)
6. Generate speedup factors for A10 instance types in EMR (#450) (githubweb)
7. Qualification tool: Add ExistenceJoin to supported jointype (#432) (githubweb)
8. Bump certifi from 2022.12.7 to 2023.7.22 (#460) (githubweb)
9. Add Progress Bar in Profiling tools (#456) (githubweb)
10. [FEA] Include bootstrap recommended configs in qualification output (#451) (githubweb)
11. Status Reporting for Event Logs and Applications in Qualification Tool (#464) (githubweb)
12. Support wildcards in eventlogs arguments (#465) (githubweb)
13. Refactor arguments to handle options after event logs (#466) (githubweb)
14. Update version by jenkins-spark-rapids-tools-auto-release-30 (githubweb)

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:

1. Qualification tool to report with granularity on unsupported operators (#401) (githubweb)
2. Bug fix for supported expressions (#408) (githubweb)
3. [DOC] Fix documentation and consistency in arguments for the EMR user-tools (#413) (githubweb)
4. Remove serverless execution mode from the EMR-wrapper (#421) (githubweb)
5. Remove cluster-mode execution wrapper (#424) (githubweb)
6. [TASK] Implement classes and methods to support user tools profiling command for Databricks Azure (#423) (githubweb)
7. Add platform argument in profiling tool for custom tuning based on the platform (#414) (githubweb)
8. [DOC] Add documentation for running user tools profiling command for Databricks Azure (#430) (githubweb)
9. update diagnostic unit-tests to support var directory (#429) (githubweb)
10. Fix broken tables and code blocks in profiling-tool docs (#435) (githubweb)
11. Support onprem platform for user-tools profiling command (#431) (githubweb)
12. Add ascli as a new simplified tools command (#426) (details
13. update more details for databricks azure user qualification tool doc (#438) (githubweb)
14. Bump build version to 23.06.2 (#439) (details

v23.02.0 rapids-4-spark-tools jar release

Release of Qualification and Profiling tools jar.

You can find the download URL here: https://repo.maven.apache.org/maven2/com/nvidia/rapids-4-spark-tools_2.12/23.02.0/

v22.10.2 release

• Support to handle tools jar arguments in the user tools wrapper

v22.10.1 release

• Init the project