Jim Apple 0ea4a666dc IMPALA-4433: Always generate testdata using the same time zone setting
Before this change, testdata was generated using the
java.util.TimeZone.getDefault() TimeZone of the machine it was running
on.  This patch standardizes on "America/Los_Angeles", which matches
the existing expected results in the end-to-end tests.

Change-Id: Iaf7cc796e44e9ff64880f9ae852f40961592f279
Reviewed-on: http://gerrit.cloudera.org:8080/5058
Reviewed-by: Jim Apple <jbapple@cloudera.com>
Tested-by: Internal Jenkins
2016-11-15 04:18:33 +00:00

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

./buildall.sh -notests

Export Control Notice

This distribution uses cryptographic software and may be subject to export controls. Please refer to EXPORT_CONTROL.md for more information.

Description
Apache Impala
Readme 258 MiB
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