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Apache ORC Source: en.wikipedia.org/wiki/Apache_ORC

Apache ORC
Initial release20 February 2013; 12 years ago (2013-02-20)[1]
Stable release
2.1.2 / 6 May 2025; 43 days ago (2025-05-06)[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]

Apache ORC format is widely supported including Amazon Web Services' Glue[5],Google Cloud Platform's BigQuery[6], and Pandas (software).[7]

History

[edit]
Version Original release date Latest version Release date
Unsupported: 1.0 2016-01-25 1.0.0 2016-01-25
Unsupported: 1.1 2016-06-10 1.1.2 2016-07-08
Unsupported: 1.2 2016-08-25 1.2.3 2016-12-12
Unsupported: 1.3 2017-01-23 1.3.4 2017-10-16
Unsupported: 1.4 2017-05-08 1.4.5 2019-12-09
Unsupported: 1.5 2018-05-14 1.5.13 2021-09-15
Unsupported: 1.6 2019-09-03 1.6.14 2022-04-14
Unsupported: 1.7 2021-09-15 1.7.8 2023-01-21
Supported: 1.8 2022-09-03 1.8.9 2025-05-06
Supported: 1.9 2023-06-28 1.9.6 2025-05-06
Supported: 2.0 2024-03-08 2.0.5 2025-05-06
Latest version: 2.1 2025-01-09 2.1.2 2025-05-06
Legend:
Unsupported
Supported
Latest version
Preview version

See also

[edit]

References

[edit]
  1. ^ a b Alan Gates (February 20, 2013). "The Stinger Initiative: Making Apache Hive 100 Times Faster". Hortonworks blog. Archived from the original on March 28, 2013.
  2. ^ "Apache ORC - Releases". Retrieved 15 May 2025.
  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. CiteSeerX 10.1.1.406.4342. doi:10.14778/2556549.2556559.{{cite conference}}: CS1 maint: multiple names: authors list (link)
  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.
  5. ^ "Using the ORC format in AWS Glue". docs.aws.amazon.com. Retrieved August 21, 2024.
  6. ^ "Load an ORC file". cloud.google.com/bigquery/docs. Retrieved May 15, 2025.
  7. ^ "pandas.read_orc". pandas.pydata.org. Retrieved May 15, 2025.