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.
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 |
---|---|---|---|---|---|
ElasticSearch Cluster Name |
Required The name of the ElasticSearch cluster. |
string |
quickstart |
||
Host Addresses |
Required A comma-separated list of remote transport addresses in |
string |
quickstart-es-http:9200 |
||
Enable SSL |
Specifies to connect by using SSL. |
boolean |
true |
||
Index in ElasticSearch |
The name of the ElasticSearch index. |
string |
data |
||
Password |
The password to connect to ElasticSearch. |
string |
|||
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-rest
-
camel:gson
-
camel:bean
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.
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
Prerequisite
You have Camel K installed on the cluster.
Procedure for using the cluster CLI
-
Save the
elasticsearch-index-sink-binding.yaml
file to your local drive, and then edit it as needed for your configuration. -
Run the sink by using the following command:
kubectl apply -f elasticsearch-index-sink-binding.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 KameletBinding 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.
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
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
-
Save the
elasticsearch-index-sink-binding.yaml
file to your local drive, and then edit it as needed for your configuration. -
Run the sink by using the following command:
kubectl apply -f elasticsearch-index-sink-binding.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 KameletBinding in the current namespace on the cluster.