elasticsearch search source ElasticSearch Index Source

Provided by: "Apache Software Foundation"

Support Level for this Kamelet is: "Preview"

Search data on ElasticSearch

Configuration Options

The following table summarizes the configuration options available for the elasticsearch-search-source Kamelet:

Property Name Description Type Default Example

clusterName *

ElasticSearch Cluster Name

Name of the cluster.

string

hostAddresses *

Host Addresses

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

string

indexName *

Index in ElasticSearch

The name of the index to act against.

string

query *

Query

The query we want to use to search on ElasticSearch.

string

enableSSL

Enable SSL

Do we want to connect using SSL?

boolean

true

password

Password

Password to connect to ElasticSearch.

string

period

Period

The time interval between two searches

integer

1000

user

Username

Username to connect to ElasticSearch.

string

Fields marked with (*) are mandatory.

Usage

This section summarizes how the elasticsearch-search-source can be used in various contexts.

Knative Source

The elasticsearch-search-source Kamelet can be used as Knative source by binding it to a Knative object.

elasticsearch-search-source-binding.yaml
apiVersion: camel.apache.org/v1alpha1
kind: KameletBinding
metadata:
  name: elasticsearch-search-source-binding
spec:
  source:
    ref:
      kind: Kamelet
      apiVersion: camel.apache.org/v1alpha1
      name: elasticsearch-search-source
    properties:
      clusterName: "The ElasticSearch Cluster Name"
      hostAddresses: "The Host Addresses"
      indexName: "The Index in ElasticSearch"
      query: "The Query"
  sink:
    ref:
      kind: InMemoryChannel
      apiVersion: messaging.knative.dev/v1
      name: mychannel

Make sure you have Camel K installed into the Kubernetes cluster you’re connected to.

Save the elasticsearch-search-source-binding.yaml file into your hard drive, then configure it according to your needs.

You can run the source using the following command:

kubectl apply -f elasticsearch-search-source-binding.yaml

Binding to Knative using the Kamel CLI:

The procedure described above can be simplified into a single execution of the kamel bind command:

kamel bind elasticsearch-search-source -p "source.clusterName=The ElasticSearch Cluster Name" -p "source.hostAddresses=The Host Addresses" -p "source.indexName=The Index in ElasticSearch" -p "source.query=The Query" channel/mychannel

This will create the KameletBinding under the hood and apply it to the current namespace in the cluster.

Kafka Source

The elasticsearch-search-source Kamelet can be used as Kafka source by binding it to a Kafka topic.

elasticsearch-search-source-binding.yaml
apiVersion: camel.apache.org/v1alpha1
kind: KameletBinding
metadata:
  name: elasticsearch-search-source-binding
spec:
  source:
    ref:
      kind: Kamelet
      apiVersion: camel.apache.org/v1alpha1
      name: elasticsearch-search-source
    properties:
      clusterName: "The ElasticSearch Cluster Name"
      hostAddresses: "The Host Addresses"
      indexName: "The Index in ElasticSearch"
      query: "The Query"
  sink:
    ref:
      kind: KafkaTopic
      apiVersion: kafka.strimzi.io/v1beta1
      name: my-topic

Ensure that you’ve installed Strimzi and created a topic named my-topic in the current namespace. Make also sure you have Camel K installed into the Kubernetes cluster you’re connected to.

Save the elasticsearch-search-source-binding.yaml file into your hard drive, then configure it according to your needs.

You can run the source using the following command:

kubectl apply -f elasticsearch-search-source-binding.yaml

Binding to Kafka using the Kamel CLI:

The procedure described above can be simplified into a single execution of the kamel bind command:

kamel bind elasticsearch-search-source -p "source.clusterName=The ElasticSearch Cluster Name" -p "source.hostAddresses=The Host Addresses" -p "source.indexName=The Index in ElasticSearch" -p "source.query=The Query" kafka.strimzi.io/v1beta1:KafkaTopic:my-topic

This will create the KameletBinding under the hood and apply it to the current namespace in the cluster.