Release 1.1.2
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tree: 91cab6bee78e75db977bfe694316d8ef266767ce
  1. .github/
  2. core/
  3. docs/
  4. sql/
  5. viz/
  6. .gitignore
  7. .travis.yml
  8. _config.yml
  9. GeoSpark_logo.png
  10. LICENSE
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  12. pom.xml
  13. README.md
README.md

GeoSpark Logo

StableLatestSource code
Maven Central with version prefix filterSonatype Nexus (Snapshots)Build Status

GeoSpark@Twitter || GeoSpark Discussion Board || Join the chat at https://gitter.im/geospark-datasys/Lobby || HitCount(since Jan. 2018)

GeoSpark is listed as Infrastructure Project on Apache Spark Official Third Party Project Page

GeoSpark is a cluster computing system for processing large-scale spatial data. GeoSpark extends Apache Spark / SparkSQL with a set of out-of-the-box Spatial Resilient Distributed Datasets (SRDDs)/ SpatialSQL that efficiently load, process, and analyze large-scale spatial data across machines.

GeoSpark contains three modules:

NameAPISpark compatibilityDependency
GeoSpark-coreRDDSpark 2.X/1.XSpark-core
GeoSpark-SQLSQL/DataFrameSparkSQL 2.1 and laterSpark-core, Spark-SQL, GeoSpark-core
GeoSpark-VizRDDSpark 2.X/1.XSpark-core, GeoSpark-core
  • Core: GeoSpark SpatialRDDs and Query Operators.
  • SQL: SQL interfaces for GeoSpark core.
  • Viz: Visualization extension of GeoSpark core.

Please visit GeoSpark website for details and documentations.

News!

  • GeoSpark 1.1.0 is released. This release contains new SQL functions, custom Quad-Tree/R-Tree index serializers and bug fixes. GeoSpark 1.1.0 supposrt Apache Spark 2.3. Note, GeoSparkSQL Maven Coordinate changed Release notes || Maven Coordinate (Thanks for the index serializer patch contributed by Zongsi Zhang!)
  • GeoSpark wiki is now moved to GeoSpark new website! Users are welcome to contribute your tutorials and stories by making a PR!