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apache / impala / refs/heads/master
commit6cf21464b4bc80bd7a0219e4e4e2f42da694476b[log] [tgz]
authorPeter Rozsa <prozsa@cloudera.com>Fri Nov 21 15:41:23 2025 +0100
committerImpala Public Jenkins <impala-public-jenkins@cloudera.com>Thu Nov 27 02:48:28 2025 +0000
tree8be0db16463924b97589be1dadd55d817dd0b765
parent685745f785e066771bb55045e3ed47967635edfa [diff]
IMPALA-14569: Fix IllegalStateException in partition pruning on type mismatch

This fixes an IllegalStateException in HdfsPartitionPruner when
evaluating 'IN' predicates whose consist of two compatible types, for
example DATE and STRING: date_col in (<date as string>).

Previously, 'canEvalUsingPartitionMd' did not check if the slot type
matched the literal type. This caused the frontend to attempt invalid
comparisons via 'LiteralExpr.compareTo', leading to
IllegalStateException or incorrect pruning.

The fix ensures 'canEvalUsingPartitionMd' returns false on type
mismatches, deferring evaluation to the backend where proper casting
occurs.

Testing:
- Added regression test in hdfs-partition-pruning.test.

Change-Id: Idc226a628c8df559329a060cb963b81e27e21eda
Reviewed-on: http://gerrit.cloudera.org:8080/23706
Reviewed-by: Impala Public Jenkins <impala-public-jenkins@cloudera.com>
Tested-by: Impala Public Jenkins <impala-public-jenkins@cloudera.com>
3 files changed
tree: 8be0db16463924b97589be1dadd55d817dd0b765
  1. .devcontainer/
  2. be/
  3. bin/
  4. cmake_modules/
  5. common/
  6. docker/
  7. docs/
  8. fe/
  9. infra/
  10. java/
  11. lib/
  12. package/
  13. security/
  14. shell/
  15. ssh_keys/
  16. testdata/
  17. tests/
  18. www/
  19. .asf.yaml
  20. .clang-format
  21. .clang-tidy
  22. .gitattributes
  23. .gitignore
  24. .isort.cfg
  25. buildall.sh
  26. CMakeLists.txt
  27. EXPORT_CONTROL.md
  28. LICENSE.txt
  29. LOGS.md
  30. NOTICE.txt
  31. README-build.md
  32. README.md
  33. setup.cfg
README.md

Welcome to Impala

Lightning-fast, distributed SQL queries for petabytes of data stored in open data and table formats.

Impala is a modern, massively-distributed, massively-parallel, C++ query engine that lets you analyze, transform and combine data from a variety of data sources:

More about Impala

The fastest way to try out Impala is a quickstart Docker container. You can try out running queries and processing data sets in Impala on a single machine without installing dependencies. It can automatically load test data sets into Apache Kudu and Apache Parquet formats and you can start playing around with Apache Impala SQL within minutes.

To learn more about Impala as a user or administrator, or to try Impala, please visit the Impala homepage. Detailed documentation for administrators and users is available at Apache Impala documentation.

If you are interested in contributing to Impala as a developer, or learning more about Impala's internals and architecture, visit the Impala wiki.

Supported Platforms

Impala only supports Linux at the moment. Impala supports x86_64 and has experimental support for arm64 (as of Impala 4.0). Impala Requirements contains more detailed information on the minimum CPU requirements.

Supported OS Distributions

Impala runs on Linux systems only. The supported distros are

  • Ubuntu 16.04/18.04
  • CentOS/RHEL 7/8

Other systems, e.g. SLES12, may also be supported but are not tested by the community.

Export Control Notice

This distribution uses cryptographic software and may be subject to export controls. Please refer to EXPORT_CONTROL.md for more information.

Build Instructions

See Impala's developer documentation to get started.

Detailed build notes has some detailed information on the project layout and build.