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Apache Flink is an open-source system for scalable processing of batch andstreaming data. Flink does not natively support efficient processing of spatialdata streams, which is a requirement of many applications dealing with spatialdata. Besides Flink, other scalable spatial data processing platforms includingGeoSpark, Spatial Hadoop, etc. do not support streaming workloads and can onlyhandle static/batch workloads. To fill this gap, we present GeoFlink, whichextends Apache Flink to support spatial data types, indexes and continuousqueries over spatial data streams. To enable the efficient processing ofspatial continuous queries and for the effective data distribution across Flinkcluster nodes, a gird-based index is introduced. GeoFlink currently supportsspatial range, spatial $k$NN and spatial join queries on point data type. Anextensive experimental study on real spatial data streams shows that GeoFlinkachieves significantly higher query throughput than ordinary Flink processing.

GeoFlink: A Distributed and Scalable Framework for the Real-time Processing of Spatial Streams