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

Changes to compile on CentOs7

This commit contains changes that allow Impala to be compiled, but not
yet run, on CentOs7. This commit adds some missing flags that specify
library locations.
Change-Id: I73aff2f75b6d0f7a3c13349665ac98a0286e7ebd
Reviewed-on: http://gerrit.cloudera.org:8080/313
Reviewed-by: Alex Leblang <alex.leblang@cloudera.com>
Tested-by: Internal Jenkins
latest commit 6c41498517
@awleblang awleblang 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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