Apache ORC

Apache ORC (Optimized Row Columnar) is a free and open-source column-oriented data storage format. It is similar to the other columnar-storage file formats available in the Hadoop ecosystem such as RCFile and Parquet. It is used by most of the data processing frameworks Apache Spark, Apache Hive, Apache Flink and Apache Hadoop.

Apache ORC
Initial release20 February 2013 (2013-02-20)[1]
Stable release
1.7.2 / 20 December 2021 (2021-12-20)[2]
RepositoryORC Repository
Operating systemCross-platform
TypeDatabase management system
LicenseApache License 2.0
Websiteorc.apache.org

In February 2013, the Optimized Row Columnar (ORC) file format was announced by Hortonworks in collaboration with Facebook.[3] A month later, the Apache Parquet format was announced, developed by Cloudera and Twitter.[4]

History
Version Original release date Latest version Release date
Old version, no longer maintained: 1.0 2016-01-25 1.0.0 2016-01-25
Old version, no longer maintained: 1.1 2016-06-10 1.1.2 2016-07-08
Old version, no longer maintained: 1.2 2016-08-25 1.2.3 2016-12-12
Old version, no longer maintained: 1.3 2017-01-23 1.3.4 2017-10-16
Old version, no longer maintained: 1.4 2017-05-08 1.4.5 2019-12-09
Old version, no longer maintained: 1.5 2018-05-14 1.5.13 2021-09-15
Older version, yet still maintained: 1.6 2019-09-03 1.6.14 2022-04-14
Current stable version: 1.7 2021-09-15 1.7.4 2022-04-15
Legend:
Old version
Older version, still maintained
Latest version
Latest preview version
Future release

See also

References
  1. "The Stinger Initiative: Making Apache Hive 100 Times Faster". Retrieved Jan 1, 2019.
  2. "Releases".
  3. Alan Gates (February 20, 2013). "The Stinger Initiative: Making Apache Hive 100 Times Faster". Hortonworks blog. Retrieved Dec 31, 2018.
  4. Justin Kestelyn (March 13, 2013). "Introducing Parquet: Efficient Columnar Storage for Apache Hadoop". Cloudera blog. Archived from the original on September 19, 2016. Retrieved May 4, 2017.
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