Thursday, April 13, 2023

Spring Boot Java how to configure Kafka Connect to read from topic and publish to Elastic Search

  1. Add the Kafka Connect and ElasticSearch dependencies to your Spring Boot project by adding the following dependencies to your pom.xml file:
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<dependency> <groupId>org.springframework.kafka</groupId> <artifactId>spring-kafka</artifactId> <version>${spring.kafka.version}</version> </dependency> <dependency> <groupId>org.apache.kafka</groupId> <artifactId>kafka-connect-elasticsearch</artifactId> <version>${kafka.version}</version> </dependency>
  1. Create a Kafka Connect configuration file, which specifies the source and destination connectors. Here is an example configuration file:
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name=es-sink connector.class=io.confluent.connect.elasticsearch.ElasticsearchSinkConnector tasks.max=1 topics=my_topic connection.url=http://localhost:9200 type.name=kafka-connect

This configuration file specifies that the ElasticSearch sink connector should be used to read from the my_topic Kafka topic and write to an ElasticSearch instance running at http://localhost:9200.

  1. Create a Spring Kafka consumer to read from the Kafka topic. Here is an example consumer:
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@KafkaListener(topics = "my_topic", groupId = "my_group") public void listen(ConsumerRecord<String, String> record) { // process the record }

This consumer will listen for messages on the my_topic Kafka topic and process each message.

  1. Create a Kafka Connect instance to execute the configuration file. Here is an example:
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Properties props = new Properties(); props.put("bootstrap.servers", "localhost:9092"); props.put("key.converter", "org.apache.kafka.connect.storage.StringConverter"); props.put("value.converter", "org.apache.kafka.connect.json.JsonConverter"); props.put("key.converter.schemas.enable", "false"); props.put("value.converter.schemas.enable", "false"); Connect connect = new Connect(props); connect.start();

This code creates a Kafka Connect instance with the specified configuration properties and starts it.

That's it! With these steps, you should be able to configure Kafka Connect to read from a Kafka topic and publish to ElasticSearch.





To configure Kafka Connect to read from a Kafka topic and publish to Elastic Search in a Spring Boot Java application, we can use the Kafka Connect Elasticsearch Connector. Here are the general steps to follow:

  1. Add the Kafka Connect Elasticsearch Connector dependency to your Spring Boot project. You can add the following dependency to your pom.xml file:
<dependency> <groupId>io.confluent</groupId> <artifactId>kafka-connect-elasticsearch</artifactId> <version>11.0.1</version> </dependency>
  1. Configure the Kafka Connect Elasticsearch Connector in your Spring Boot application. You can create a configuration file, for example, elasticsearch-sink.properties, and add the following properties:
name=my-elasticsearch-sink connector.class=io.confluent.connect.elasticsearch.ElasticsearchSinkConnector tasks.max=1 topics=my-kafka-topic connection.url=http://localhost:9200

Here, name is a unique name for the connector, connector.class specifies the class of the connector, tasks.max specifies the maximum number of tasks to use, topics specifies the Kafka topic to consume from, and connection.url specifies the URL of the Elastic Search instance.

  1. Start the Kafka Connect Elasticsearch Connector. You can start the connector using the following command:
$ ./bin/connect-standalone.sh config/connect-standalone.properties config/elasticsearch-sink.properties

Here, config/connect-standalone.properties specifies the configuration for the Kafka Connect standalone mode.For more detailed information on how to configure and use the Kafka Connect Elasticsearch Connector in a Spring Boot Java application, you can refer to the following resources:

  • [Kafka Elasticsearch Connector Tutorial with Examples]
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  • [How to Send Data from a Kafka Topic to ElasticSearch]
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  • [Spring Boot - Consume Message Through Kafka, Save into ...]
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Additionally, you can also refer to the [Introduction to Kafka Connectors]

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 and [Working with Kafka Elasticsearch Connector Simplified]

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 for more information on Kafka Connect and the Kafka Connect Elasticsearch Connector.