d217b9ecc6
Removes IMPALA_JAVA_HOME_OVERRIDE and updates version selection. In order of priority 1. If IMPALA_JDK_VERSION is set, use the OS JDK version from a known location. This is primarily used when also installing the JDK as part of automated builds. 2. If JAVA_HOME is set, use it. 3. Look for the system default JDK. The IMPALA_JDK_VERSION variable is no longer modified to avoid issues when sourcing impala-config.sh multiple times. JAVA_HOME will be modified if IMPALA_JDK_VERSION is set; both must be unset to restore using the system default Java. If switching between JDKs, now prefer setting JAVA_HOME. If relying on system Java, unset JAVA_HOME after e.g. update-java-alternatives. The detected Java version is set in IMPALA_JAVA_TARGET, which is used to add Java 9+ options and configure the Java compilation target. Eliminates IMPALA_JDK_VERSION_NUM as it's value was always identical to IMPALA_JAVA_TARGET. Stops printing from impala-config-java.sh. It made the output from impala-config.sh look strange, and the decisions can all be clearly determined from impala-config.sh printed variables later or the packages installed in bootstrap_system.sh. Fixes JAVA_HOME in bootstrap_build.sh on ARM64 systems. Change-Id: I68435ca69522f8310221a0f3050f13d86568b9da Reviewed-on: http://gerrit.cloudera.org:8080/23434 Reviewed-by: Impala Public Jenkins <impala-public-jenkins@cloudera.com> Tested-by: Impala Public Jenkins <impala-public-jenkins@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.