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Changes: 1) Consistently use "set -euo pipefail". 2) When an error happens, print the file and line. 3) Consolidated some of the kill scripts. 4) Added better error messages to the load data script. 5) Changed use of #!/bin/sh to bash. Change-Id: I14fef66c46c1b4461859382ba3fd0dee0fbcdce1 Reviewed-on: http://gerrit.cloudera.org:8080/1620 Reviewed-by: Casey Ching <casey@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.