commit | e570d2ecbcded3065e14358d6358debbb6c1f721 | [log] [tgz] |
---|---|---|
author | William Hyun <william@apache.org> | Tue Jan 02 18:50:39 2024 -0800 |
committer | William Hyun <william@apache.org> | Tue Jan 02 18:51:33 2024 -0800 |
tree | 9c4040c8ff033eac749f6e63b2c58adddf60e26b | |
parent | 996dbe456af68892fd182b02db72b699ac40e6e9 [diff] |
MINOR: Add SBOM
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