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Structured Streaming with MongoDB
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Overview
Spark Structured Streaming is a data stream processing engine you can use through the Dataset or DataFrame API. The MongoDB Spark Connector enables you to stream to and from MongoDB using Spark Structured Streaming.
Important
Spark Structured Streaming and Spark Streaming with DStreams are different.
To learn more about Structured Streaming, see the Spark Programming Guide.
Configuring a Write Stream to MongoDB
Configuring a Read Stream from MongoDB
Reading a stream from a MongoDB database requires continuous processing, an experimental feature introduced in Spark version 2.3. To learn more about continuous processing, see the Spark documentation.
Examples
The following examples show Spark Structured Streaming configurations for streaming to and from MongoDB.
Stream to MongoDB from a CSV File
To stream data from a CSV file to MongoDB:
Stream to your Console from MongoDB
To stream data from MongoDB to your console: