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apache / impala / 285cea92910ee59a96a8c9c78c74272dedcbf1f9
commit285cea92910ee59a96a8c9c78c74272dedcbf1f9[log] [tgz]
authorYida Wu <wydbaggio000@gmail.com>Sat Feb 20 13:09:57 2021 -0800
committerImpala Public Jenkins <impala-public-jenkins@cloudera.com>Thu Feb 25 01:22:03 2021 +0000
tree73deeab9e46df81dc57317080c1a4cc94df5f6fe
parentf13170ef655e92e624ac65a381dd42bba6c084e5 [diff]
IMPALA-10526: Fix BufferPoolTest.Multi8RandomSpillToRemoteMix failed in sanitizer builds

Fixed a data race issue when running testcase
BufferPoolTest.Multi8RandomSpillToRemoteMix in the tsan build. The
solution is to access ScanRange::use_local_buffer_ under
ScanRange::lock_.

Tests:
Rerun testcase BufferPoolTest.Multi8RandomSpillToRemoteMix.

Change-Id: Ic77dd85d20efc7066758b2ba61e2138745cbd90b
Reviewed-on: http://gerrit.cloudera.org:8080/17096
Reviewed-by: Thomas Tauber-Marshall <tmarshall@cloudera.com>
Tested-by: Impala Public Jenkins <impala-public-jenkins@cloudera.com>
2 files changed
tree: 73deeab9e46df81dc57317080c1a4cc94df5f6fe
  1. be/
  2. bin/
  3. cmake_modules/
  4. common/
  5. docker/
  6. docs/
  7. fe/
  8. infra/
  9. java/
  10. lib/
  11. security/
  12. shell/
  13. ssh_keys/
  14. testdata/
  15. tests/
  16. www/
  17. .clang-format
  18. .clang-tidy
  19. .gitattributes
  20. .gitignore
  21. buildall.sh
  22. CMakeLists.txt
  23. EXPORT_CONTROL.md
  24. LICENSE.txt
  25. LOGS.md
  26. NOTICE.txt
  27. README-build.md
  28. README.md
  29. setup.cfg
README.md

Welcome to Impala

Lightning-fast, distributed SQL queries for petabytes of data stored in Apache Hadoop clusters.

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:

  • Best of breed performance and scalability.
  • Support for data stored in HDFS, Apache HBase, Apache Kudu, Amazon S3, Azure Data Lake Storage, Apache Hadoop Ozone and more!
  • Wide analytic SQL support, including window functions and subqueries.
  • On-the-fly code generation using LLVM to generate lightning-fast code tailored specifically to each individual query.
  • Support for the most commonly-used Hadoop file formats, including Apache Parquet and Apache ORC.
  • Support for industry-standard security protocols, including Kerberos, LDAP and TLS.
  • Apache-licensed, 100% open source.

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.

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.