| commit | fb894ba2c835d09354c2309a57c680b0f2b3e15f | [log] [tgz] |
|---|---|---|
| author | William Hyun <william@apache.org> | Tue Jan 02 18:59:09 2024 -0800 |
| committer | William Hyun <william@apache.org> | Tue Jan 02 18:59:09 2024 -0800 |
| tree | 1463f88d11f10abb4762ae8bfc50ad99c97cc302 | |
| parent | e570d2ecbcded3065e14358d6358debbb6c1f721 [diff] |
Preparing for release 1.0.0 Signed-off-by: William Hyun <william@apache.org>
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.
This project includes ORC specifications and the protobuf definition. Apache ORC Format 1.0.0 is desinged to be used for Apache ORC 2.0+.
Releases:
The current build status:
Bug tracking: Apache ORC Format Issues
./mvnw install