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Real-time Query for Hadoop
C++ Java Python C Thrift Shell Other
Latest commit e9450ee Jun 28, 2016 @mikesbrown mikesbrown committed with Internal Jenkins IMPALA-3806: remove a few modern shell idioms to improve RHEL5 support
Both `find -executable` and the Bash "&>>" operator are too new to be
supported on RHEL5. Both have reasonable workarounds, so prefer them.
Note that this may not be the exhaustive list of such "modern"
conventions, but RHEL5 isn't working end-to-end, so we can't identify
all of them in a single commit yet.


Before, the RHEL5 build would fail quite early here. Now, data load
succeeds and most of the backend tests successfully run.

Change-Id: I7438bed908d8026327923607238808122212d2d8
Reviewed-by: David Knupp <>
Tested-by: Internal Jenkins
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be IMPALA-1619: Support 64-bit allocations. Jun 29, 2016
bin IMPALA-3800: Python 2.6 support for Jun 29, 2016
cmake_modules IMPALA-3223: Removal of non-toolchain builds. Jun 7, 2016
common IMPALA-1619: Support 64-bit allocations. Jun 29, 2016
ext-data-source IMPALA-3384: add missing frontend -> ext-data-source dependency. May 2, 2016
fe CDH-41511: Fix the preconditions check in HdfsTable#setAvroSchema() Jun 22, 2016
infra IMPALA-1619: Support 64-bit allocations. Jun 29, 2016
llvm-ir Misc. codegen utilties Feb 10, 2016
shell IMPALA-2336: Ignore trailing comments in non-interactive mode May 27, 2016
ssh_keys Move ssh keys from bin directory to fix packaging build break Jan 8, 2014
testdata IMPALA-3806: remove a few modern shell idioms to improve RHEL5 support Jun 30, 2016
tests IMPALA-1619: Support 64-bit allocations. Jun 29, 2016
thirdparty Update thirdparty dependencies Jun 17, 2016
www IMPALA-2198: Differentiate queries in exceptional states in web UI May 4, 2016
.gitignore Add .impala_compiler_opts to .gitignore May 9, 2016
CMakeLists.txt IMPALA-3223: Supports download of CDH components from S3. Jun 21, 2016
LICENSE.txt Add text of Apache license May 8, 2014 Consolidate test and cluster logs under a single directory. Mar 28, 2016
NOTICE.txt Add NOTICE.txt file to Impala repo Jul 2, 2014 Fix link syntax for Mar 23, 2015 IMPALA-3762: Download Python requirements before they are needed. Jun 22, 2016

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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