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apache / impala / e666e07110216509cbc2d1d874ba4bf9ec32147e
commite666e07110216509cbc2d1d874ba4bf9ec32147e[log] [tgz]
authorRiza Suminto <riza.suminto@cloudera.com>Mon Mar 04 11:42:52 2024 -0800
committerImpala Public Jenkins <impala-public-jenkins@cloudera.com>Wed Mar 06 16:05:53 2024 +0000
tree3a44f6a936ae3f118f4f24f0ddffcdcb6288c0a9
parentf68d91dcee76ccd90dfc7f1111623ea531794d03 [diff]
IMPALA-12678: Deflake test_skipping_batching_events

test_skipping_batching_events is flaky. It expect that REFRESH query
will arrive before ALTER_PARTITION is polled and processed, but the
opposite can happens too.

This patch deflake the test by injecting delay inside
MetastoreEvents.getFilteredEvents() rather than increasing
hms_event_polling_interval_s. The delay injection is specified through
debug_actions flag. This patch also add method in ImpaladProcess and
CatalogdProcess to help change JVM log level from pytest method.

Testing:
- Loop and pass test_skipping_batching_events 100 times.

Change-Id: Ia6e4cd1e9492e3ce75f5089038b90d0af4fbdb0f
Reviewed-on: http://gerrit.cloudera.org:8080/21107
Reviewed-by: Sai Hemanth Gantasala <saihemanth@cloudera.com>
Reviewed-by: Jason Fehr <jfehr@cloudera.com>
Reviewed-by: Quanlong Huang <huangquanlong@gmail.com>
Tested-by: Impala Public Jenkins <impala-public-jenkins@cloudera.com>
8 files changed
tree: 3a44f6a936ae3f118f4f24f0ddffcdcb6288c0a9
  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. .clang-format
  20. .clang-tidy
  21. .gitattributes
  22. .gitignore
  23. buildall.sh
  24. CMakeLists.txt
  25. EXPORT_CONTROL.md
  26. LICENSE.txt
  27. LOGS.md
  28. NOTICE.txt
  29. README-build.md
  30. README.md
  31. 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.