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

IMPALA-2484: make array allocation failure test less flaky

This query was occasionally succeeding. This patch lowers the mem
limit so it's is less likely to succeed. It also adds the specific
"Failed to allocate buffer" message to the expected error so we don't
accidentally lose coverage. This test could still become flaky in the
future (I'm not sure 4mb is guaranteed to work every time, plus it
could change in the future), but I can't think of a better solution
than to continue adjusting it or only rely on more targetted unit

Change-Id: Id585f0e3b2c77a0279efffe9dd8b8b4472225730
Reviewed-by: Skye Wanderman-Milne <>
Tested-by: Internal Jenkins
latest commit cee1d05a7f
@skye skye authored tbobrovytsky committed
Failed to load latest commit information.
be Fix expected locality of parquet column ranges.
bin Perf Framework: Move exec functions to a separate file and deprecate …
cmake_modules Toolchain Cleanup and ASAN Improvements
common IMPALA-2477: Parquet metadata randomly 'appears stale'
ext-data-source Upgrade a few important mvn plugins.
fe IMPALA-2495: make Expr::IsConstant() recurse on children
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-2484: make array allocation failure test less flaky
tests IMPALA-2504: Isilon and S3 don't use Hive
thirdparty Add cdh5.7.0-SNAPSHOT Hadoop/HBase/Hive/LLAMA/Sentry dependencies.
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 Fix link syntax for IMPALA-2284: Disallow long (1<<30) strings in group_concat()

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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