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

Move type analysis out of Type (catalog) and into TypeDef (analysis).

This patch contains no functional changes. It refactors code to move
the responsibility of analyzing a type definition from the catalog
entities (Type and subclasses) to a new TypeDef class that lives
in the analysis package.
This patch also contains some minor class renames and improvements
to error messages.

Change-Id: Ied74ce93c82a0a82ae481eea18b86c0ac55d8988
Reviewed-on: http://gerrit.cloudera.org:8080/114
Reviewed-by: Alex Behm <alex.behm@cloudera.com>
Tested-by: Internal Jenkins
latest commit de2455897e
@abehm abehm 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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