Software:Apache ORC

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Short description: Column-oriented data storage format
Apache ORC
Apache Orc logo.svg
Initial release20 February 2013; 11 years ago (2013-02-20)[1]
Stable release
1.8.2 / 13 January 2023; 13 months ago (2023-01-13)[2]
RepositoryORC Repository
Operating systemCross-platform
TypeDatabase management system
LicenseApache License 2.0
Websiteorc.apache.org

Apache ORC (Optimized Row Columnar) is a free and open-source column-oriented data storage format.[3] 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.

In February 2013, the Optimized Row Columnar (ORC) file format was announced by Hortonworks in collaboration with Facebook.[1] A month later, the Apache Parquet format was announced, developed by Cloudera and Twitter.[4]

History

Version Original release date Latest version Release date
1.0 2016-01-25 1.0.0 2016-01-25
1.1 2016-06-10 1.1.2 2016-07-08
1.2 2016-08-25 1.2.3 2016-12-12
1.3 2017-01-23 1.3.4 2017-10-16
1.4 2017-05-08 1.4.5 2019-12-09
1.5 2018-05-14 1.5.13 2021-09-15
1.6 2019-09-03 1.6.14 2022-04-14
1.7 2021-09-15 1.7.8 2023-01-21
1.8 2022-09-03 1.8.2 2023-01-13
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See also

References

  1. 1.0 1.1 Alan Gates (February 20, 2013). "The Stinger Initiative: Making Apache Hive 100 Times Faster". Hortonworks blog. https://hortonworks.com/blog/100x-faster-hive/. 
  2. "Apache ORC - Releases". https://orc.apache.org/news/releases/. 
  3. Yin Huai, Siyuan Ma, Rubao Lee, Owen O'Malley, and Xiaodong Zhang (2013). ""Understanding Insights into the Basic Structure and Essential Issues of Table Placement Methods in Clusters "". VLDB' 39. pp. 1750–1761. doi:10.14778/2556549.2556559. 
  4. Justin Kestelyn (March 13, 2013). "Introducing Parquet: Efficient Columnar Storage for Apache Hadoop". Cloudera blog. http://blog.cloudera.com/blog/2013/03/introducing-parquet-columnar-storage-for-apache-hadoop/.