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apache / impala / 5b0675fc5ced03de6093bf0d54c6702d2a6547b3
commit5b0675fc5ced03de6093bf0d54c6702d2a6547b3[log] [tgz]
authorTamas Mate <tmate@cloudera.com>Tue Jan 19 20:03:26 2021 +0100
committerImpala Public Jenkins <impala-public-jenkins@cloudera.com>Thu Feb 18 23:12:47 2021 +0000
treebad1d00c979e637af81c8e3f28ae2b611870b55e
parentebb2e0663988d4fb597aeecb4defebbda1669f12 [diff]
IMPALA-10161: User LDAP Search bind support

This change adds user search bind support next to simple bind that can
be configured with LDAP filters. The group check was done with LDAP
search earlier, this change adds the possibility to configure it with
Hadoop library like options, which is the LDAP filter with optional
patterns. The '{0}' will be replaced with the user name while the
'{1}' pattern will be replaced with the user dn.

The following new flags have been added:
 --ldap_search_bind_authentication: a flag to change between simple and
search bind
 --ldap_user_search_basedn: the base dn for the LDAP subtree to search
 --ldap_group_search_basedn: the base dn for the LDAP subtree to search

Tested:
 - Custom cluster tests have been added

Change-Id: I978744ad05d9ef408328d1e4dd2d18c329f4d3b7
Reviewed-on: http://gerrit.cloudera.org:8080/17047
Reviewed-by: Impala Public Jenkins <impala-public-jenkins@cloudera.com>
Tested-by: Impala Public Jenkins <impala-public-jenkins@cloudera.com>
14 files changed
tree: bad1d00c979e637af81c8e3f28ae2b611870b55e
  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.