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Real-time Query for Hadoop
C++ Java Python Thrift C Shell Other
Latest commit 7777d18 @henryr henryr committed with Internal Jenkins IMPALA-2697: Move scheduling-related files from statestore/ to schedu…

Change-Id: Ifed42cd534f682e642bff1ae70a405f60649f118
Reviewed-by: Henry Robinson <>
Tested-by: Internal Jenkins
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be IMPALA-2697: Move scheduling-related files from statestore/ to schedu…
bin Build cleanup & fixes
cmake_modules Making ASAN use LLVM 3.7 instead of LLVM trunk
common Address missed code review comments for…
ext-data-source Upgrade a few important mvn plugins.
fe Don't require SCR to be enabled on startup
infra/python Python: Upgrade impyla to bring in bug fix
llvm-ir Move IR cross compile output to a better folder for packaging.
shell IMPALA-2309: Compute stats query return error if set LIVE_PROGRESS=true
ssh_keys Move ssh keys from bin directory to fix packaging build break
testdata IMPALA-1459: Fix migration/assignment of On-clause predicates inside …
tests IMPALA-1943: test for inserting newlines into text file
thirdparty Add cdh5.7.0-SNAPSHOT Hadoop/HBase/Hive/LLAMA/Sentry dependencies.
www IMPALA-2631: Add total number of queries to /sessionz
.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 Fix link syntax for Extracting CLEAN_ACTION from buildall into separate script.

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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