Get up and running quickly with Spark Structured Streaming on Azure Databricks using Azure Event Hubs
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Updated
Aug 17, 2018 - Scala
Get up and running quickly with Spark Structured Streaming on Azure Databricks using Azure Event Hubs
Spark structured streaming example with Wikipedia edit stream of English.
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This project presents a distributable solution based on Spark Java, aiming to connect start and end session events together in a stateful manner. The project utilizes `flatMapGroupWithState`functionality which is a powerful feature for stateful stream processing in Spark. It enables you to maintain and update the state across batches.
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