Google Git
Sign in
apache / sedona / refs/tags/sedona-1.2.1-incubating-rc1
tag140d546fa831b9aa4ac988cd6705dd746f6a527d
taggerkanchanchy <kchowdh1@asu.edu>Fri Aug 05 14:55:24 2022 -0700
object67538d22cdfcf7f89d530f4507b9ae0a04674b57 
[maven-release-plugin] copy for tag sedona-1.2.1-incubating-rc1
commit67538d22cdfcf7f89d530f4507b9ae0a04674b57[log] [tgz]
authorkanchanchy <kchowdh1@asu.edu>Fri Aug 05 14:54:52 2022 -0700
committerkanchanchy <kchowdh1@asu.edu>Fri Aug 05 14:54:52 2022 -0700
treec55602fb52d90e2529cce94e63199ba00ba6a18b
parent4623e5d6a9138e68875075957c445d78f74490d4 [diff]
[maven-release-plugin] prepare release sedona-1.2.1-incubating-rc1
6 files changed
tree: c55602fb52d90e2529cce94e63199ba00ba6a18b
  1. .github/
  2. binder/
  3. core/
  4. docs/
  5. docs-overrides/
  6. examples/
  7. flink/
  8. licenses/
  9. python/
  10. python-adapter/
  11. R/
  12. sql/
  13. viz/
  14. zeppelin/
  15. .asf.yaml
  16. .gitignore
  17. DISCLAIMER-WIP
  18. generate-docs.R
  19. LICENSE
  20. mkdocs.yml
  21. NOTICE
  22. pom.xml
  23. README.md
  24. scalastyle_config.xml
  25. 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

Gitter chat: Gitter

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

Sedona Mailing Lists:

Please visit Apache Sedona website for detailed information

Powered by