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Currently, Impala supports building and testing Docker images on Ubuntu. This extends that same support to Redhat-based distributions: 1. This splits out the Docker build's OS package installation into a separate install_os_packages.sh script. This script detects the OS and calls apt or yum as appropriate. The script takes the argument --install-debug-tools, which installs extra tools like iproute2 and ping. This defaults to true for debug images and false for release images. 2. This modifies daemon_entrypoint.sh to detect the OS and set LD_LIBRARY_PATH appropriate to account for different locations of Java. 3. This modifies docker/setup_build_context.py to handle different locations of libkudu_client.so and add extra sanity checks on various libraries found via globs. 4. This modifies bin/jenkins/dockerized-*.sh test infrastructure to be able to install docker on either Ubuntu or Redhat. It also changes the exit logic to collect the container logs. Developers can override the base image for Redhat 7 and Redhat 8 builds via the IMPALA_REDHAT7_DOCKER_BASE and IMPALA_REDHAT8_DOCKER_BASE environment variables. These default to open source Redhat equivalents (Centos 7.9 and Rocky 8.5 respectively), but they are also known to work with Redhat UBI images. Testing: - Ran dockerised testing on Rocky 8.5 via the rocky-8.5-dockerised-tests job. - Ran GVO - Ran a Docker build on Centos7 with UBI7 as the base image Change-Id: Ibaff2560ef971ac2c2231a8e43921164ea1d2f4d Reviewed-on: http://gerrit.cloudera.org:8080/19006 Reviewed-by: Joe McDonnell <joemcdonnell@cloudera.com> Tested-by: Joe McDonnell <joemcdonnell@cloudera.com>
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.
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.