An open API service indexing awesome lists of open source software.

https://github.com/apache/orc-format

Apache ORC - the smallest, fastest columnar storage for Hadoop workloads
https://github.com/apache/orc-format

apache big-data cpp java orc

Last synced: 12 months ago
JSON representation

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

Awesome Lists containing this project

README

          

# [Apache ORC](https://orc.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.

## 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](https://maven-badges.herokuapp.com/maven-central/org.apache.orc/orc/badge.svg)
* 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](https://github.com/apache/orc-format/actions/workflows/build_and_test.yml/badge.svg?branch=main)

Bug tracking: Apache ORC Format Issues

## Building

```
./mvnw install
```