commit | 88dcdfd4662d0ec4a6e0d81d643d207f6e5ed900 | [log] [tgz] |
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author | Joe McDonnell <joemcdonnell@cloudera.com> | Wed Feb 14 21:57:54 2024 -0800 |
committer | Joe McDonnell <joemcdonnell@cloudera.com> | Mon Mar 25 22:53:34 2024 +0000 |
tree | 230de087f3b57d8f969dcd9295d6569aec5b1a52 | |
parent | 0e8a9077b10ff478e0861a1a266a38927a5ae544 [diff] |
IMPALA-12807: Add support for mold linker This adds support for using the mold linker. It changes the existing USE_GOLD_LINKER environment variable to IMPALA_LINKER, which accepts ld, gold, or mold as values. It defaults to 'gold' to match current behavior. Developers can override it in bin/impala-config-local.sh. Clang does not implement -gz properly until version 12. It does not enable compressed debuginfo in the final binary. IMPALA_LINKER=mold doesn't work with IMPALA_COMPRESSED_DEBUG_INFO=true on Clang due to this. This detects Clang <12 and skips -gz as it is ineffective. Mold follows similar to behavior to LLD and requires --exclude-libs to use the full library name (i.e. liblz4.a rather than liblz4). Gold will happily accept the full library name, so this changes to use the full library name. Mold is much faster for incremental builds on my system: (e.g. touch be/src/scheduling/scheduler.cc && make -j8 impalad) gold: 15.8s mold: 2.6s Testing: - Ran builds with IMPALA_LINKER=mold on Centos 7, Redhat 8, and Ubuntu 20. Change-Id: Ia9e9accd06b6ecd182d200d81afaae09a885c241 Reviewed-on: http://gerrit.cloudera.org:8080/21121 Reviewed-by: Michael Smith <michael.smith@cloudera.com> Reviewed-by: Andrew Sherman <asherman@cloudera.com> Tested-by: Impala Public Jenkins <impala-public-jenkins@cloudera.com>
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:
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.
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.
Impala runs on Linux systems only. The supported distros are
Other systems, e.g. SLES12, may also be supported but are not tested by the community.
This distribution uses cryptographic software and may be subject to export controls. Please refer to EXPORT_CONTROL.md for more information.
See Impala's developer documentation to get started.
Detailed build notes has some detailed information on the project layout and build.