Using streaming service

As the volume of real-time data grows dramatically, people want to display real-time data on the mobile phones and PCs. SuperMap iServer 9D and later versions can meet this need by providing the Streaming Service Extension Module.

SuperMap iServer supports protocols including WebSocket, TCP, HTTP, and Kafka in its streaming service. Real-time data in the formats including CSV, JSON, and GeoJSON is supported. The Spark Streaming distributed computing framework is used to filter and analyze real-time data streams. The result data is output and stored in the format of CSV, JSON, or GeoJSON. In iServer, the data flow service can be used to send the analysis result of real-time data to clients.

• Filter the streaming data by spatial or attribution relationship;
• Do property mapping on streaming data;
• Apply geofencing on streaming data.