| commit | 1ec67e2e9c45abdcf0fe6cbc399150ffb8996146 | [log] [tgz] |
|---|---|---|
| author | Dongjoon Hyun <dongjoon@apache.org> | Wed Dec 06 01:19:35 2023 -0800 |
| committer | Dongjoon Hyun <dongjoon@apache.org> | Wed Dec 06 01:19:35 2023 -0800 |
| tree | f841dc07b06949b2f92fafc69fac3ec8493ba489 | |
| parent | 7ec4156a948e83275afe4f7cfb498b99149ba919 [diff] |
Set the project name to Apache ORC Format
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 specification and the protobuf definitions
Releases:
The current build status:
Bug tracking: Apache Jira
./mvnw install