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Chapter 16. ElasticSearch Index Sink

Important

The ElasticSearch Index Kamelet is a Technology Preview feature only. Technology Preview features are not supported with Red Hat production service level agreements (SLAs) and might not be functionally complete. Red Hat does not recommend using them in production.

These features provide early access to upcoming product features, enabling customers to test functionality and provide feedback during the development process. For more information about the support scope of Red Hat Technology Preview features, see https://access.redhat.com/support/offerings/techpreview.

This sink stores documents into ElasticSearch.

Input data must have JSON format according to the index used.

The Kamelet expects the following headers:

  • indexId / ce-indexid: as the index ID for Elasticsearch

If the header won’t be set, the index will be generated by the ES Cluster.

  • indexName / ce-indexname: as the index Name for Elasticsearch

If the header is not set, camel-k-index-es will be used as the index name.

16.1. Configuration Options
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The following table summarizes the configuration options available for the elasticsearch-index-sink Kamelet:

Expand
PropertyNameDescriptionTypeDefaultExample

clusterName *

ElasticSearch Cluster Name

Name of the cluster.

string

 

"quickstart"

hostAddresses *

Host Addresses

Comma separated list with ip:port formatted remote transport addresses to use.

string

 

"quickstart-es-http:9200"

enableSSL

Enable SSL

Do we want to connect using SSL?

boolean

true

 

indexName

Index in ElasticSearch

The name of the index to act against.

string

 

"data"

password

Password

Password to connect to ElasticSearch.

string

  

user

Username

Username to connect to ElasticSearch.

string

  
Note

Fields marked with an asterisk (*) are mandatory.

16.2. Dependencies
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At runtime, the elasticsearch-index-sink Kamelet relies upon the presence of the following dependencies:

  • camel:jackson
  • camel:kamelet
  • mvn:org.apache.camel.k:camel-k-kamelet-reify
  • camel:elasticsearch-rest
  • camel:gson
  • camel:bean

16.3. Usage
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This section describes how you can use the elasticsearch-index-sink.

16.3.1. Knative Sink
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You can use the elasticsearch-index-sink Kamelet as a Knative sink by binding it to a Knative object.

elasticsearch-index-sink-binding.yaml

apiVersion: camel.apache.org/v1alpha1
kind: KameletBinding
metadata:
  name: elasticsearch-index-sink-binding
spec:
  source:
    ref:
      kind: Channel
      apiVersion: messaging.knative.dev/v1
      name: mychannel
  sink:
    ref:
      kind: Kamelet
      apiVersion: camel.apache.org/v1alpha1
      name: elasticsearch-index-sink
    properties:
      clusterName: "quickstart"
      hostAddresses: "quickstart-es-http:9200"
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16.3.1.1. Prerequisite
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Make sure you have "Red Hat Integration - Camel K" installed into the OpenShift cluster you’re connected to.

16.3.1.2. Procedure for using the cluster CLI
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  1. Save the elasticsearch-index-sink-binding.yaml file to your local drive, and then edit it as needed for your configuration.

  2. Run the sink by using the following command: 

    oc apply -f elasticsearch-index-sink-binding.yaml
    Copy to Clipboard Toggle word wrap

16.3.1.3. Procedure for using the Kamel CLI
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Configure and run the sink by using the following command: 

kamel bind channel:mychannel elasticsearch-index-sink -p "sink.clusterName=quickstart" -p "sink.hostAddresses=quickstart-es-http:9200"
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This command creates the KameletBinding in the current namespace on the cluster.

16.3.2. Kafka Sink
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You can use the elasticsearch-index-sink Kamelet as a Kafka sink by binding it to a Kafka topic.

elasticsearch-index-sink-binding.yaml

apiVersion: camel.apache.org/v1alpha1
kind: KameletBinding
metadata:
  name: elasticsearch-index-sink-binding
spec:
  source:
    ref:
      kind: KafkaTopic
      apiVersion: kafka.strimzi.io/v1beta1
      name: my-topic
  sink:
    ref:
      kind: Kamelet
      apiVersion: camel.apache.org/v1alpha1
      name: elasticsearch-index-sink
    properties:
      clusterName: "quickstart"
      hostAddresses: "quickstart-es-http:9200"
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16.3.2.1. Prerequisites
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Ensure that you’ve installed the AMQ Streams operator in your OpenShift cluster and created a topic named my-topic in the current namespace. Make also sure you have "Red Hat Integration - Camel K" installed into the OpenShift cluster you’re connected to.

16.3.2.2. Procedure for using the cluster CLI
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  1. Save the elasticsearch-index-sink-binding.yaml file to your local drive, and then edit it as needed for your configuration.

  2. Run the sink by using the following command: 

    oc apply -f elasticsearch-index-sink-binding.yaml
    Copy to Clipboard Toggle word wrap

16.3.2.3. Procedure for using the Kamel CLI
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Configure and run the sink by using the following command: 

kamel bind kafka.strimzi.io/v1beta1:KafkaTopic:my-topic elasticsearch-index-sink -p "sink.clusterName=quickstart" -p "sink.hostAddresses=quickstart-es-http:9200"
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This command creates the KameletBinding in the current namespace on the cluster.

16.4. Kamelet source file
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https://github.com/openshift-integration/kamelet-catalog/blob/kamelet-catalog-1.6/elasticsearch-index-sink.kamelet.yaml

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