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GeoSpark@Twitter || GeoSpark Discussion Board ||
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 several modules:
| Name | API | Spark compatibility | Introduction |
|---|---|---|---|
| Core | RDD | Spark 2.X/1.X | SpatialRDDs and Query Operators. |
| SQL | SQL/DataFrame | SparkSQL 2.1+ | SQL interfaces for GeoSpark core. |
| Viz | RDD, SQL/DataFrame | RDD - Spark 2.X/1.X, SQL - Spark 2.1+ | Visualization for Spatial RDD and DataFrame. |
| Zeppelin | Apache Zeppelin | Spark 2.1+, Zeppelin 0.8.1+ | GeoSpark plugin for Apache Zeppelin |
GeoSpark supports several programming languages: Scala, Java, SQL, Python and R.
Please visit GeoSpark website for detailed documentations
News!
- GeoSpark 1.3.1 is released. This version provides a complete Python wrapper to GeoSpark RDD and SQL API. It also contains a number of bug fixes and new functions from 12 contributors. See Python tutorial: RDD, Python tutorial: SQL, Release note
Orignial Contributors
- (Mo)hamed Sarwat (Twitter: @MoSarwat)
- Jia Yu
Impact
GeoSpark Downloads on Maven Central
GeoSpark ecosystem has around 10K downloads per month.
