elasticsearchHow can I use Elasticsearch and Kafka together to process data?

Elasticsearch and Kafka can be used together to process data by consuming messages from Kafka topics and indexing them into Elasticsearch. For example, we can use the Elasticsearch Kafka Connector to stream data from Kafka topics into Elasticsearch.

// Create the Kafka Connector
curl -X PUT "localhost:9200/_ingest/pipeline/kafka_connector_pipeline" -H 'Content-Type: application/json' -d'
{
  "description" : "Kafka Connector Pipeline",
  "processors" : [
    {
      "kafka" : {
        "topic" : "kafka_topic",
        "bootstrap.servers" : "localhost:9092",
        "group.id" : "kafka_group_id"
      }
    }
  ]
}
'

The output of the above command will be:

{
  "acknowledged": true
}

The code above creates a Kafka Connector Pipeline with the following parts:

• curl: a command-line tool for making HTTP requests.
• -X PUT: an option for curl that specifies the HTTP request method to use.
• localhost:9200/_ingest/pipeline/kafka_connector_pipeline: the URL of the Elasticsearch endpoint for creating a pipeline.
• -H 'Content-Type: application/json': an option for curl that specifies the content type of the request body.
• -d': an option for curl that specifies the data to be sent in the request body.
• "kafka": the processor type for the Kafka Connector.
• "topic" : "kafka_topic": the name of the Kafka topic to be consumed.
• "bootstrap.servers" : "localhost:9092": the list of Kafka brokers to connect to.
• "group.id" : "kafka_group_id": the ID of the Kafka consumer group.

By using the Kafka Connector, we can stream data from Kafka topics into Elasticsearch and process it in real-time.

Helpful links

• Elasticsearch Kafka Connector
• Kafka Connector API

Edit this code on GitHub