dongjoon-hyun / orc-format

Apache ORC - the smallest, fastest columnar storage for Hadoop workloads

Home Page:https://orc.apache.org/

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Apache ORC

ORC is a self-describing type-aware columnar file format designed for Hadoop workloads. It is optimized for large streaming reads, but with integrated support for finding required rows quickly. Storing data in a columnar format lets the reader read, decompress, and process only the values that are required for the current query. Because ORC files are type-aware, the writer chooses the most appropriate encoding for the type and builds an internal index as the file is written. Predicate pushdown uses those indexes to determine which stripes in a file need to be read for a particular query and the row indexes can narrow the search to a particular set of 10,000 rows. ORC supports the complete set of types in Hive, including the complex types: structs, lists, maps, and unions.

ORC Format

This project includes ORC specification and the protobuf definitions

Releases:

The current build status:

  • Main branch main build status

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Building

./mvnw install

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Apache ORC - the smallest, fastest columnar storage for Hadoop workloads

https://orc.apache.org/

License:Apache License 2.0