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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.
| 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 |
Please visit GeoSpark website for details and documentations.
- A research paper about "GeoSparkSim: A Microscopic Road Network Traffic Simulator in Apache Spark" is accepted to MDM 2019, Hong Kong China. The next release of GeoSpark will come with a built-in scalable traffic simulator. Please stay tuned!
- A 1.5-hour tutorial about "Geospatial Data Management in Apache Spark" was presented by Jia Yu and Mohamed Sarwat in ICDE 2019, Macau, China. Visit our tutorial website to learn how to craft your "GeoSpark" from scratch.
- GeoSpark 1.2.0 is released.
- Tons of bug fixes and new functions! Please read GeoSpark release note.
- GeoSparkViz now supports DataFrame API. Please read Visualize Spatial DataFrame/RDD.
- GeoSpark-Zeppelin can connect GeoSpark to Apache Zeppelin. Please read Interact with GeoSpark via Zeppelin
- GeoSparkViz Maven coordinate change. Please read Maven coordinate.
- This release includes the PR from 13 contributors. Please read GeoSpark release note to learn their names.
GeoSpark ecosystem has around 8K - 10K downloads per month.
GeoSpark development team has published many papers about GeoSpark. Please read Publications.
GeoSpark received an evaluation from PVLDB 2018 paper "How Good Are Modern Spatial Analytics Systems?" Varun Pandey, Andreas Kipf, Thomas Neumann, Alfons Kemper (Technical University of Munich), quoted as follows:
GeoSpark comes close to a complete spatial analytics system. It also exhibits the best performance in most cases.