Glink is a spatial extension of Apache Flink. Writing an unbounded spatial data processing program on Glink can become as simple as writing a WordCount program.
Learn more about Glink at https://glink-incubator.github.io/
Currently, Glink supports the following features:
- Spatial Filter: filter the spatial data stream with one or more polygons.
- Spatial Window KNN: perform KNN in the window snapshots of a spatial data stream.
- Spatial Join
- Spatial Dimension Join: spatial join with a spatial data stream and a spatial table.
- Spatial Window Join: spatial window join of two spatial data streams.
- Spatial Interval Join: spatial interval join of two spatial data streams.
- Spatial Window DBSCAN: perform DNSCAN cluster in the window snapshots of a spatial data stream.
- Spatial Heatmap: convert unbounded spatial data streams into heatmaps that can be displayed on web pages.
StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
SpatialDataStream<Point> pointDataStream = new SpatialDataStream<>(
env, host, port, new SimplePointFlatMapper());
// do spatial filter on point data stream
DataStream<Point> resultStream = SpatialFilter.filter(pointDataStream, ...);
// or other spatial processings
// DataStream<Point> resultStream = SpatialWindowKNN.knn(pointDataStream, ...)
// DataStream<Point> resultStream = SpatialDimensionJoin.join(pointDataStream, otherGeometryStream, ...)
// DataStream<Point> resultStream = WindowDBSCAN.dbscan(pointDataStream, ...)
// DataStream<TileResult<Double>> heatmapStream = SpatialHeatMap.heatmap(pointDataStream, ...)
resultStream.print();Prerequisites for building Flink:
- Unix-like environment (we use Linux, Mac OS X, Cygwin, WSL)
- Git
- Maven (we recommend version 3.2.5 and require at least 3.1.1)
- Java 8
git clone git@github.com:glink-incubator/glink.git
cd glink
mvn clean package -DskipTestsWe recommend using IntelliJ IDEA to develop Glink and install the CheckStyle-IDEA plugin.
If you find any bugs or want to contribute new features, please open an issue and try to use English as much as possible. We will discuss with you as soon as possible.
If you have any questions about usage or principle, please contact liebingyu@whu.edu.cn, we will reply as soon as possible.
The documentation of Glink is located on the website: https://glink-incubator.github.io/ and the source code of the documentation is in https://github.com/glink-incubator/glink-docs/.
Glink is an open-source project. We are always open to people who want to use the system or contribute to it.
Glink was originally initiated by Liebing.