89d2b23509
Update the following elements of the Impala build environment to enable builds on Ubuntu 24.04: - Recognize and handle (where necessary) Ubuntu 24.04 in various bootstrap scripts (bootstrap_system.sh, bootstrap_toolchain.py, etc.) - Bump IMPALA_TOOLCHAIN_ID to an official toolchain build that contains Ubuntu 24.04-specific binary packages - Bump binutils to 2.42, and - Bump the GDB version to 12.1-p1, as required by the new toolchain version - Update unique_ptr usage syntax in be/src/util/webserver-test.cc to compensate for new GLIBC funtion prototypes: System headers in Ubuntu 24.04 adopted attributes on several widely used function prototypes. Such attributes are not considered to be part of the function's signature during template evaluation, so GCC throws a warning when such a function is passed as a template argument, which breaks the build, as warnings are treated as errors. webserver-test.cc uses pclose() as the deleter for a unique_ptr in a utility function. This patch encapsulates pclose() and its attributes in an explicit specialization for std::default_delete<>, "hiding" the attributes inside a functor. The particular solution was inspired by Anton-V-K's proposal in https://gist.github.com/t-mat/5849549 This commit builds on an earlier patch for the same purpose by Michael Smith: https://gerrit.cloudera.org/c/23058/ Change-Id: Ia4454b0c359dbf579e6ba2f9f9c44cfa3f1de0d2 Reviewed-on: http://gerrit.cloudera.org:8080/23384 Tested-by: Impala Public Jenkins <impala-public-jenkins@cloudera.com> Reviewed-by: Michael Smith <michael.smith@cloudera.com> Reviewed-by: Joe McDonnell <joemcdonnell@cloudera.com>
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:
- Best of breed performance and scalability.
- Support for data stored in Apache Iceberg, 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.