Vlad Berindei e4c42fa8bf IMPALA-595: Add CASCADE to DROP DATABASE and use it in cleanup_db
Change-Id: Idfa5b6943bc797e10d542487c31b8f1b527d8c97
Reviewed-on: http://gerrit.cloudera.org:8080/635
Reviewed-by: Vlad Berindei <vlad.berindei@cloudera.com>
Tested-by: Internal Jenkins
2015-08-20 03:34:31 +00:00
2015-05-26 00:39:00 +00:00
2015-06-13 03:11:44 +00:00
2014-05-08 11:16:53 -07:00
2014-07-02 15:23:24 -07:00
2015-03-23 20:32:23 +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.

Description
Apache Impala
Readme 257 MiB
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