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Real-time Query for Hadoop
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Latest commit 7167950 May 16, 2016 @abehm abehm committed with Internal Jenkins Remove redundant test in test_avro_schema_resolution.py
Change-Id: I7123cd5e19d79122af3b4fef2c092442b7a098f1
Reviewed-on: http://gerrit.cloudera.org:8080/3095
Reviewed-by: Alex Behm <alex.behm@cloudera.com>
Tested-by: Internal Jenkins
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be IMPALA-3163: Fix Decimal to Timestamp casting May 27, 2016
bin IMPALA-3619: disable IR symbols by default May 27, 2016
cmake_modules IMPALA-3223: Relocate squeasel and mustache directories May 27, 2016
common IMPALA-3369: Add ALTER TABLE SET COLUMN STATS statement. May 27, 2016
ext-data-source IMPALA-3384: add missing frontend -> ext-data-source dependency. May 2, 2016
fe IMPALA-3092: Set default value to NULL in AvroSchemaConverter May 27, 2016
infra IMPALA-3501: ee tests: detect build type and support different timeou… May 26, 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 Remove redundant test in test_avro_schema_resolution.py May 28, 2016
tests Remove redundant test in test_avro_schema_resolution.py May 28, 2016
thirdparty IMPALA-3223: Relocate squeasel and mustache directories May 27, 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: Relocate squeasel and mustache directories May 27, 2016
LICENSE.txt Add text of Apache license May 8, 2014
LOGS.md Consolidate test and cluster logs under a single directory. Mar 28, 2016
NOTICE.txt Add NOTICE.txt file to Impala repo Jul 2, 2014
README.md Fix link syntax for README.md Mar 23, 2015
buildall.sh IMPALA-3594: Fix -build_shared_libs switch in buildall.sh May 24, 2016

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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