commit | 408c119f7da022e2f6de2df2b5af4546eefdb5bc | [log] [tgz] |
---|---|---|
author | Laszlo Gaal <laszlo.gaal@cloudera.com> | Tue Mar 19 23:02:32 2024 +0100 |
committer | Impala Public Jenkins <impala-public-jenkins@cloudera.com> | Wed Apr 10 20:37:02 2024 +0000 |
tree | f3b77446604649cbbc00efee5ba8a79f8efa43ac | |
parent | df7aac9517bb3777f15e583100a087e4d3525ece [diff] |
IMPALA-12564: Prevent Hive loading libfesupport.so in the minicluster during TSAN runs During TSAN runs all Impala binaries (including libfesupport.so) are built with TSAN options, which include a reference to the external symbol __tsan_init. This causes a problem for libfesupport.so when it is loaded into Hive during minicluster startup, because the Java VM running Hive's code cannot supply this symbol (the stock JVM is obviously not built with TSAN). Unfortunately this symbol resolution failure causes Hive's JVM simply to abort on Red Hat 8 (or later) and on Ubuntu 20.04 (or later). On earlier versions of the same platforms the JVM turned the same failure into an UnsatisfiedLinkError exception, which is actually handled by Hive. This patch prevents libfesupport.so from being loaded into Hive for TSAN runs so that the minicluster can actually be started. This is achieved by not adding the directory containing libfesupport.so to JAVA_LIBRARY_PATH, preventing the JVM from finding it. Change-Id: Ie030d9876c297d6e9dae80eba37e525ee2bccb20 Reviewed-on: http://gerrit.cloudera.org:8080/21191 Reviewed-by: Impala Public Jenkins <impala-public-jenkins@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.