commit | 236228d3e240079391fa61cdb344c827efc06ab4 | [log] [tgz] |
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author | Jia Yu <jiayu2@asu.edu> | Thu Apr 26 00:55:27 2018 -0700 |
committer | Jia Yu <jiayu2@asu.edu> | Thu Apr 26 01:04:54 2018 -0700 |
tree | ba4e051a548be57f4a8055128ff2fb9b2e9b69af | |
parent | 4970d241a8bc7dd50bb0b7c35029101d776bd113 [diff] |
Release v1.1.3
Stable | Latest | Source code |
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GeoSpark@Twitter || GeoSpark Discussion Board || || (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:
Name | API | Spark compatibility | Dependency |
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GeoSpark-core | RDD | Spark 2.X/1.X | Spark-core |
GeoSpark-SQL | SQL/DataFrame | SparkSQL 2.1 and later | Spark-core, Spark-SQL, GeoSpark-core |
GeoSpark-Viz | RDD | Spark 2.X/1.X | Spark-core, GeoSpark-core |
Please visit GeoSpark website for details and documentations.