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Real-time Query for Hadoop
C++ Java Python Thrift C Shell Other

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be IMPALA-2289: Properly handle AtCapacity() in SubplaNode.
bin Remove "localhost" from JVM debug port option to allow remote debugging
cmake_modules Toolchain Cleanup and ASAN Improvements
common IMPALA-2079: Part 2: handling tmp device errors
ext-data-source Upgrade a few important mvn plugins.
fe IMPALA-898: Support explicit column names in WITH-clause views.
infra/python Python sasl module is needed by tests/util/thrift_util.py.
llvm-ir Move IR cross compile output to a better folder for packaging.
shell IMPALA-1975: Automatically reconnect failed connections from the shell
ssh_keys Move ssh keys from bin directory to fix packaging build break
testdata IMPALA-2289: Properly handle AtCapacity() in SubplaNode.
tests IMPALA-2289: Properly handle AtCapacity() in SubplaNode.
thirdparty CDH-30961: Allow Thrift to accept TLSv1.1 and v1.2
www Add HdrHistogram and HistogramMetric
.gitignore Add MetricDefs, static definitions of metric metadata generated from …
CMakeLists.txt Toolchain Cleanup and ASAN Improvements
LICENSE.txt Add text of Apache license
NOTICE.txt Add NOTICE.txt file to Impala repo
README.md Fix link syntax for README.md
buildall.sh Toolchain Cleanup and ASAN Improvements

README.md

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.

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