Alex Behm 1c19c232f3 IMPALA-3491: Use unique_database fixture in test_views_compatibility.
Testing: Ran the test locally. It was already possible to run the
test in parallel before.

Change-Id: I68a1349276c90a42c238bed40a1c7c221199a67a
Reviewed-on: http://gerrit.cloudera.org:8080/3009
Reviewed-by: Alex Behm <alex.behm@cloudera.com>
Tested-by: Internal Jenkins
2016-05-12 14:18:02 -07:00
2016-02-10 04:44:31 +00:00
2014-05-08 11:16:53 -07:00
2014-07-02 15:23:24 -07:00

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.

Building Impala

This Apache Incubator repository is currently not buildable but has the complete source code for Impala minus some third-party dependences. See https://github.com/cloudera/Impala for the buildable Impala source and https://issues.cloudera.org/browse/IMPALA-3223 to track progress on making this repository buildable.

Description
Apache Impala
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