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

IMPALA-2257: fix broken build caused by IMPALA-2251 fix

The expected behavior when creating a table with the same delimiter and
escape character is to ignore the escape character.  This patch issues a
warning instead of an error when creating text tables with an escape
character that is the same as a delimiter.

Change-Id: I5cbdfbe96b321fbea727478146232449960ca52b
Reviewed-on: http://gerrit.cloudera.org:8080/700
Reviewed-by: Tim Armstrong <tarmstrong@cloudera.com>
Reviewed-by: Alex Behm <alex.behm@cloudera.com>
Tested-by: Internal Jenkins
latest commit 8fcdff0336
@timarmstrong timarmstrong authored Internal Jenkins committed

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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