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

Clone this repo:
  1. 6e30e63 ORC-1615: Fix Broken hyperlinks (#17) by Ashish · 5 months ago main
  2. 509c4c0 Add markdown images (#16) by cxzl25 · 8 months ago
  3. 3bca1a0 Fix typo in README by William Hyun · 9 months ago
  4. e570d2e MINOR: Add SBOM by William Hyun · 9 months ago
  5. 996dbe4 ORC-FORMAT-10: Updated Maven version to 3.9.6 (#11) by Ashish · 10 months ago

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 specifications and the protobuf definition. Apache ORC Format 1.0.0 is designed to be used for Apache ORC 2.0+.

Releases:

  • Maven Central: Maven Central
  • Downloads: Apache ORC downloads
  • Release tags: Apache ORC Format releases
  • Plan: Apache ORC Format future release plan

The current build status:

  • Main branch main build status

Bug tracking: Apache ORC Format Issues

Building

./mvnw install