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apache / impala / 8ff51fbf74b4572ce3d1e43389fc10d35a8dd576
commit8ff51fbf74b4572ce3d1e43389fc10d35a8dd576[log] [tgz]
authorCsaba Ringhofer <csringhofer@cloudera.com>Fri Mar 22 18:56:48 2024 +0100
committerImpala Public Jenkins <impala-public-jenkins@cloudera.com>Wed Apr 10 16:17:15 2024 +0000
treee038952f51421abfaf214625e88fa9302ad58e2d
parent6121c4f7d61fb9f2341cf14e1be3404325fb35b9 [diff]
IMPALA-5323: Support BINARY columns in Kudu tables

The patch adds read and write support for BINARY columns in Kudu
tables.

Predicate push down is implemented, but is incomplete:
a constant binary argument will be only pushed down if
the constant folding never encounters non-ascii strings.
Examples:
 - cast(unhex(hex("aa")) as binary) can be pushed down
 - cast(hex(unhex("aa")) as binary) can't be pushed
   down as unhex("aa") is not ascii (even though the
   final result is ascii)
See IMPALA-10349 for more details on this limitation.

The patch also changes casting BINARY <-> STRING from noop
to calling an actual function. While this may add some small
overhead it allows the backend to know whether an expression
returns STRING or BINARY.

Change-Id: Iff701a4b3a09ce7b6982c5d238e65f3d4f3d1151
Reviewed-on: http://gerrit.cloudera.org:8080/18868
Reviewed-by: Impala Public Jenkins <impala-public-jenkins@cloudera.com>
Tested-by: Impala Public Jenkins <impala-public-jenkins@cloudera.com>
16 files changed
tree: e038952f51421abfaf214625e88fa9302ad58e2d
  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.