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apache / impala / 16190b4f77a86ef008bf28334dcca50e7c498556
commit16190b4f77a86ef008bf28334dcca50e7c498556[log] [tgz]
authorMichael Smith <michael.smith@cloudera.com>Tue Nov 22 10:02:20 2022 -0800
committerMichael Smith <michael.smith@cloudera.com>Mon Nov 28 17:16:42 2022 +0000
tree68a60bbc9d7d7ab5e45adbaeb32ca34ee5ca13fd
parent2733d039ad4a830a1ea34c1a75d2b666788e39a9 [diff]
IMPALA-11737: Update sasl to 0.3.1 for Python 3.10

sasl 0.2.1 fails to build with Python 3.10. Updates to sasl 0.3.1 for
Python 3.10 compatibility.

Testing:
- built under Python 3.8
- automated tests will test with built bundle and pip install using
current Python version
- pip3 installed shell/build/dist on Ubuntu 22.04 with Python 3.10

Change-Id: I6b522f2b8cb5546150cd3274c7670a6ca9b8ff63
Reviewed-on: http://gerrit.cloudera.org:8080/19265
Tested-by: Impala Public Jenkins <impala-public-jenkins@cloudera.com>
Reviewed-by: Csaba Ringhofer <csringhofer@cloudera.com>
16 files changed
tree: 68a60bbc9d7d7ab5e45adbaeb32ca34ee5ca13fd
  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.

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.