| commit | 236c4668e42e25abfa69d80542c19bb9bd456d2b | [log] [tgz] |
|---|---|---|
| author | William Hyun <william@apache.org> | Wed Jan 03 00:06:41 2024 -0800 |
| committer | William Hyun <william@apache.org> | Wed Jan 03 00:06:53 2024 -0800 |
| tree | bc4418b8ffe89e8c2ed98ffa50c0cf0f4fcce311 | |
| parent | 391b045468956d25b062783b5667c639ab8797b0 [diff] |
ORC-FORMAT-15: Update `publish_snapshot` GitHub Action to match `branch-1.0` This closes #15
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