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Shark (Hive on Spark)

Shark is a large-scale data warehouse system for Spark designed to be compatible with Apache Hive. It can answer Hive QL queries up to 30 times faster than Hive without modification to the existing data nor queries. Shark supports Hive's query language, metastore, serialization formats, and user-defined functions.

Documentation

There is a small corpus of helpful documents on Shark. The shark-users mailing list is also very active and will be a helpful resource for beginners.

For Users:

Shark User Guide - an introduction to running Spark and its API.

Building and Deploying Shark - getting Spark up and running locally, or in a cluster.

For Developers:

Developer Guide - for people who are interested in contributing. We don't have much here yet. Will slowly add content to it.

Startup Tasks for New Contributors

Hive Patches - documents patches we made to Hive.

Hive Compatibility

List of unsupported Hive features provides list of Hive features that we don't support yet. If you are interested in trying out Shark and use some of the following features, please drop us a note and we will see how we can accommodate.