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When using a Maven mirror that uses a mirrorOf pattern, the order of repositories in the pom.xml has a strong influence on whether the build tries the mirror for a particular artifact. If an early repository matches the mirrorOf condition, Maven may try the mirror for all artifacts, even those that only exist in the s3 bucket. This extra check can slow down the build, especially if the mirror is slow to respond for unknown artifacts. For Impala, the common case is for a mirror to cover everything except the artifacts that come from the Kudu local repository or the s3 bucket. To optimize for that case, this reorders the Maven repositories to be in this order: 1. Local/S3 repositories 2. Regular repositories 3. Banned repositories The repositories are otherwise unchanged. Testing: - Ran an ordinary build - Ran a build with a mirrorOf "external:*,!impala.cdp.repo" and verified that the build went directly to the s3 bucket first. Change-Id: I7046c7ec5391833e98ee6a463fb8c08b6a04cb26 Reviewed-on: http://gerrit.cloudera.org:8080/17020 Reviewed-by: Joe McDonnell <joemcdonnell@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 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.
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.