elasticsearch index sink ElasticSearch Index Sink

Provided by: "Apache Software Foundation"

Support Level for this Kamelet is: "Stable"

Stores JSON-formatted data into ElasticSearch.

The input data must be formatted in JSON according to the requirements of the index.

If you specify the certificate property, you must base64 encode it before you pass it as a parameter.

In the header, you can set the following properties:

  • indexId / ce-indexid: The index ID for ElasticSearch.

  • indexName / ce-indexname: The index name for ElasticSearch.

If you do not set a property in the header, the Kamelet uses the exchange ID for the index setting.

Configuration Options

The following table summarizes the configuration options available for the elasticsearch-index-sink Kamelet:

Property Name Description Type Default Example

clusterName

ElasticSearch Cluster Name

Required The name of the ElasticSearch cluster.

string

quickstart

hostAddresses

Host Addresses

Required A comma-separated list of remote transport addresses in ip:port format.

string

quickstart-es-http:9200

certificate

Certificate

The Certificate for accessing the Elasticsearch cluster. You must encode this value in base64.

string

enableSSL

Enable SSL

Specifies to connect by using SSL.

boolean

true

indexName

Index in ElasticSearch

The name of the ElasticSearch index.

string

data

password

Password

The password to connect to ElasticSearch.

string

user

Username

The username to connect to ElasticSearch.

string

Dependencies

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

  • camel:core

  • camel:jackson

  • camel:kamelet

  • camel:elasticsearch

  • camel:gson

  • camel:bean

Camel JBang usage

Prerequisites

  • You’ve installed JBang.

  • You have executed the following command:

jbang app install camel@apache/camel

Supposing you have a file named route.yaml with this content:

- route:
    from:
      uri: "kamelet:timer-source"
      parameters:
        period: 10000
        message: 'test'
      steps:
        - to:
            uri: "kamelet:log-sink"

You can now run it directly through the following command

camel run route.yaml

Camel K Environment Usage

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

Knative sink

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

elasticsearch-index-sink-pipe.yaml
apiVersion: camel.apache.org/v1
kind: Pipe
metadata:
  name: elasticsearch-index-sink-pipe
spec:
  source:
    ref:
      kind: Channel
      apiVersion: messaging.knative.dev/v1
      name: mychannel
  sink:
    ref:
      kind: Kamelet
      apiVersion: camel.apache.org/v1
      name: elasticsearch-index-sink
    properties:
      clusterName: quickstart
      hostAddresses: quickstart-es-http:9200

Prerequisite

You have Camel K installed on the cluster.

Procedure for using the cluster CLI

  1. Save the elasticsearch-index-sink-pipe.yaml file to your local drive, and then edit it as needed for your configuration.

  2. Run the sink by using the following command:

    kubectl apply -f elasticsearch-index-sink-pipe.yaml

Procedure for using the Kamel CLI

Configure and run the sink by using the following command:

kamel bind elasticsearch-index-sink -p "sink.clusterName=quickstart" -p "sink.hostAddresses=quickstart-es-http:9200" channel:mychannel

This command creates the Kamelet Pipe in the current namespace on the cluster.

Kafka sink

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

elasticsearch-index-sink-pipe.yaml
apiVersion: camel.apache.org/v1
kind: Pipe
metadata:
  name: elasticsearch-index-sink-pipe
spec:
  source:
    ref:
      kind: KafkaTopic
      apiVersion: kafka.strimzi.io/v1beta1
      name: my-topic
  sink:
    ref:
      kind: Kamelet
      apiVersion: camel.apache.org/v1
      name: elasticsearch-index-sink
    properties:
      clusterName: quickstart
      hostAddresses: quickstart-es-http:9200

Prerequisites

  • You’ve installed Strimzi.

  • You’ve created a topic named my-topic in the current namespace.

  • You have Camel K installed on the cluster.

Procedure for using the cluster CLI

  1. Save the elasticsearch-index-sink-pipe.yaml file to your local drive, and then edit it as needed for your configuration.

  2. Run the sink by using the following command:

    kubectl apply -f elasticsearch-index-sink-pipe.yaml

Procedure for using the Kamel CLI

Configure and run the sink by using the following command:

kamel bind elasticsearch-index-sink -p "sink.clusterName=quickstart" -p "sink.hostAddresses=quickstart-es-http:9200" kafka.strimzi.io/v1beta1:KafkaTopic:my-topic

This command creates the Kamelet Pipe in the current namespace on the cluster.