kafka-streams-stateful example

This example demonstrates aggregation in Kafka Streams with two different approaches, one based on DSL operators like groupByKey and reduce, and another using Kafka Streams Processor API and state stores.

Dependencies

• JAVA 8,Maven and Kafka should be installed for running this project.

To Run:

• Create input Kafka topic user-activity from Kafka root directory:
  bin/kafka-topics.sh --create --bootstrap-server localhost:9092 --replication-factor 1 --partitions 4 --topic user-activity
• Run mvn clean compile assembly:single. A jar named kafka-streams-stateful-1.0-SNAPSHOT-jar-with-dependencies.jar will be created in target directory.
• A data generation script is present in the TestDataGenerator class with which you can push Kafka messages to the input Kafka topic:
  java -cp target/kafka-streams-stateful-1.0-SNAPSHOT-jar-with-dependencies.jar org.streams.demo.TestDataGenerator {{number_of_messages}}
• To Run the Kafka Streams Application:
  java -cp target/kafka-streams-stateful-1.0-SNAPSHOT-jar-with-dependencies.jar org.streams.demo.Main