Jim Apple 1a3d7ffd4f IMPALA-2147: Support IS [NOT] DISTINCT FROM and "<=>" predicates
Enforces that the planner treats IS NOT DISTINCT FROM as eligible for
hash joins, but does not find the minimum spanning tree of
equivalences for use in optimizing query plans; this is left as future
work.

Change-Id: I62c5300b1fbd764796116f95efe36573eed4c8d0
Reviewed-on: http://gerrit.cloudera.org:8080/710
Reviewed-by: Jim Apple <jbapple@cloudera.com>
Tested-by: Internal Jenkins
2016-01-14 05:45:22 +00:00
2016-01-13 05:37:32 +00:00
2016-01-11 21:11:15 +00:00
2016-01-12 04:42:59 +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
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