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apache / sedona / refs/tags/sedona-1.3.1-incubating-rc1
taga111a07292003d167c414a196db3dd2cc605b9b2
taggerJia Yu <jiayu@apache.org>Mon Dec 12 00:52:46 2022 -0800
object95502ef0cb7d4ee798d3f67a7307b835c904214a 
[maven-release-plugin] copy for tag sedona-1.3.1-incubating-rc1
commit95502ef0cb7d4ee798d3f67a7307b835c904214a[log] [tgz]
authorJia Yu <jiayu@apache.org>Mon Dec 12 00:52:44 2022 -0800
committerJia Yu <jiayu@apache.org>Mon Dec 12 00:52:44 2022 -0800
tree76d0b26eec70386fe4dbad5d0a227f1de95bc749
parent713d99e00b62489bf62bc855bd0df32a7d0d73b9 [diff]
[maven-release-plugin] prepare release sedona-1.3.1-incubating-rc1
7 files changed
tree: 76d0b26eec70386fe4dbad5d0a227f1de95bc749
  1. .github/
  2. binder/
  3. common/
  4. core/
  5. docs/
  6. docs-overrides/
  7. examples/
  8. flink/
  9. licenses/
  10. python/
  11. python-adapter/
  12. R/
  13. sql/
  14. viz/
  15. zeppelin/
  16. .asf.yaml
  17. .gitignore
  18. DISCLAIMER
  19. generate-docs.R
  20. LICENSE
  21. mkdocs.yml
  22. NOTICE
  23. pom.xml
  24. README.md
  25. scalastyle_config.xml
  26. spark-version-converter.py
README.md

Scala and Java build Python build R build Example project build Docs build

Click Binder and play the interactive Sedona Python Jupyter Notebook immediately!

Apache Sedona™(incubating) is a cluster computing system for processing large-scale spatial data. Sedona equips cluster computing systems such as Apache Spark and Apache Flink with a set of out-of-the-box distributed Spatial Datasets and Spatial SQL that efficiently load, process, and analyze large-scale spatial data across machines.

Download statisticsMavenPyPICRAN
Apache Sedona80k/monthDownloads Downloads
Archived GeoSpark releases300k/monthDownloadsDownloads

System architecture

Our users and code contributors are from ...

Modules in the source code

NameAPIIntroduction
CoreScala/JavaDistributed Spatial Datasets and Query Operators
SQLSpark RDD/DataFrame in Scala/Java/SQLGeospatial data processing on Apache Spark
FlinkFlink DataStream/Table in Scala/Java/SQLGeospatial data processing on Apache Flink
VizSpark RDD/DataFrame in Scala/Java/SQLGeospatial data visualization on Apache Spark
PythonSpark RDD/DataFrame in PythonPython wrapper for Sedona
RSpark RDD/DataFrame in RR wrapper for Sedona
ZeppelinApache ZeppelinPlugin for Apache Zeppelin 0.8.1+

Sedona supports several programming languages: Scala, Java, SQL, Python and R.

Compile the source code

Please refer to Sedona website

Contact

Feedback to improve Apache Sedona: Google Form

Twitter: Sedona@Twitter

Sedona JIRA: Bugs, Pull Requests, and other similar issues

Sedona Mailing Lists: dev@sedona.apache.org: project development, general questions or tutorials.

Please visit Apache Sedona website for detailed information

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