c3dc7f9667
Configure separate compile and link pools for ninja. Configures link parallelism based on expected memory use, which can be reduced by setting IMPALA_MINIMAL_DEBUG_INFO=true or IMPALA_SPLIT_DEBUG_INFO=true. Adds IMPALA_MAKE_CMD to simplify using the ninja build tool for all make operations in scripts. Install ninja on Ubuntu. Adds a '-make' option to buildall.sh to force using 'make'. Adds MOLD_JOBS=1 to avoid overloading the system when trying 'mold' and linking test binaries. However 'mold' is not selected as the default due to test failures around SASL/GSSAPI (see IMPALA-14527). Switches bin/jenkins/all-tests.sh to use ninja and removes the guard in bootstrap_development.sh limiting IMPALA_BUILD_THREADS as it's no longer needed with ninja. SKIP_BE_TEST_PATTERN in run-backend-tests is unused (only used with TARGET_FILESYSTEM=local) so I don't attempt to make it work with ninja. Tested with local 'IMPALA_SPLIT_DEBUG_INFO=true buildall.sh -skiptests' with default (make) and IMPALA_MAKE_CMD=ninja. Change-Id: I0952dc19ace5c9c42bed0d2ffb61499656c0a2db Reviewed-on: http://gerrit.cloudera.org:8080/23572 Reviewed-by: Joe McDonnell <joemcdonnell@cloudera.com> Reviewed-by: Pranav Lodha <pranav.lodha@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.