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eaefbb90ce
Syntax and usage notes for ALTER TABLE, COMPUTE STATS, and SHOW FILES. Mixed in a little bit with new Kudu syntax for ALTER TABLE. Didn't include all new Kudu info in this CR, the better to minimize merge conflicts. Added note about performance/scalability of IMPALA-1654. Added new Known Issue item for IMPALA-4106 under Performance category. Change-Id: I2060552d5081e5f93b1b1f398414c52fa03f215b Reviewed-on: http://gerrit.cloudera.org:8080/5726 Reviewed-by: Alex Behm <alex.behm@cloudera.com> Tested-by: Impala Public Jenkins
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 and Amazon S3.
- Wide analytic SQL support, including window functions and subqueries.
- On-the-fly code generation using LLVM to generate CPU-efficient code tailored specifically to each individual query.
- Support for the most commonly-used Hadoop file formats, including the Apache Parquet (incubating) project.
- Apache-licensed, 100% open source.
More about Impala
To learn more about Impala as a business user, or to try Impala live or in a VM, please visit the Impala homepage.
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.
Build Instructions
See bin/bootstrap_build.sh.
Export Control Notice
This distribution uses cryptographic software and may be subject to export controls. Please refer to EXPORT_CONTROL.md for more information.