616eb2fcce
Also changes the test to use beeline instead of Hive -e for the portions executed in Hive because beeline is significantly faster. Testing: Tested the changes locally by running them in a loop 10 times. Also did a private core/hdfs run. Change-Id: I70d87941fbfc30f41e1c6fcfee8d8c7f16b88831 Reviewed-on: http://gerrit.cloudera.org:8080/2962 Reviewed-by: Michael Brown <mikeb@cloudera.com> Tested-by: Internal Jenkins
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.
Building Impala
This Apache Incubator repository is currently not buildable but has the complete source code for Impala minus some third-party dependences. See https://github.com/cloudera/Impala for the buildable Impala source and https://issues.cloudera.org/browse/IMPALA-3223 to track progress on making this repository buildable.