| // THIS FILE IS AUTOMATICALLY GENERATED: DO NOT EDIT |
| = image:kamelets/elasticsearch-index-sink.svg[] ElasticSearch Index Sink |
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| *Provided by: "Apache Software Foundation"* |
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| *Support Level for this Kamelet is: "Preview"* |
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| This sink stores documents into ElasticSearch. |
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| Input data must have JSON format according to the index used. |
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| - `indexId` / `ce-indexid`: as the index ID for Elasticsearch |
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| If the header won't be set the exchange ID will be used as index. |
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| - `indexName` / `ce-indexname`: as the index Name for Elasticsearch |
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| If the header won't be set the exchange ID will be used as index name. |
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| == Configuration Options |
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| The following table summarizes the configuration options available for the `elasticsearch-index-sink` Kamelet: |
| [width="100%",cols="2,^2,3,^2,^2,^3",options="header"] |
| |=== |
| | Property| Name| Description| Type| Default| Example |
| | *clusterName {empty}* *| ElasticSearch Cluster Name| Name of the cluster.| string| | `"quickstart"` |
| | *hostAddresses {empty}* *| 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| | |
| |=== |
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| NOTE: Fields marked with ({empty}*) are mandatory. |
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| == Usage |
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| This section summarizes how the `elasticsearch-index-sink` can be used in various contexts. |
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| === Knative Sink |
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| The `elasticsearch-index-sink` Kamelet can be used as Knative sink by binding it to a Knative object. |
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| .elasticsearch-index-sink-binding.yaml |
| [source,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" |
| |
| ---- |
| Make sure you have xref:latest@camel-k::installation/installation.adoc[Camel K installed] into the Kubernetes cluster you're connected to. |
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| Save the `elasticsearch-index-sink-binding.yaml` file into your hard drive, then configure it according to your needs. |
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| You can run the sink using the following command: |
| |
| [source,shell] |
| ---- |
| kubectl apply -f elasticsearch-index-sink-binding.yaml |
| ---- |
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| ==== *Dependencies* |
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| The Kamelet needs the following dependencies: |
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| - camel:jackson |
| - camel:kamelet |
| - mvn:org.apache.camel.k:camel-k-kamelet-reify |
| - camel:elasticsearch-rest |
| - camel:gson |
| - camel:bean |
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| ==== *Binding to Knative using the Kamel CLI:* |
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| The procedure described above can be simplified into a single execution of the `kamel bind` command: |
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| [source,shell] |
| ---- |
| kamel bind channel:mychannel elasticsearch-index-sink -p "sink.clusterName=quickstart" -p "sink.hostAddresses=quickstart-es-http:9200" |
| ---- |
| |
| This will create the KameletBinding under the hood and apply it to the current namespace in the cluster. |
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| === Kafka Sink |
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| The `elasticsearch-index-sink` Kamelet can be used as Kafka sink by binding it to a Kafka topic. |
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| .elasticsearch-index-sink-binding.yaml |
| [source,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" |
| |
| ---- |
| |
| Ensure that you've installed https://strimzi.io/[Strimzi] and created a topic named `my-topic` in the current namespace. |
| Make also sure you have xref:latest@camel-k::installation/installation.adoc[Camel K installed] into the Kubernetes cluster you're connected to. |
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| Save the `elasticsearch-index-sink-binding.yaml` file into your hard drive, then configure it according to your needs. |
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| You can run the sink using the following command: |
| |
| [source,shell] |
| ---- |
| kubectl apply -f elasticsearch-index-sink-binding.yaml |
| ---- |
| |
| ==== *Binding to Kafka using the Kamel CLI:* |
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| The procedure described above can be simplified into a single execution of the `kamel bind` command: |
| |
| [source,shell] |
| ---- |
| kamel bind kafka.strimzi.io/v1beta1:KafkaTopic:my-topic elasticsearch-index-sink -p "sink.clusterName=quickstart" -p "sink.hostAddresses=quickstart-es-http:9200" |
| ---- |
| |
| This will create the KameletBinding under the hood and apply it to the current namespace in the cluster. |
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| ==== Kamelet source file |
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| Have a look at the following link: |
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| https://github.com/apache/camel-kamelets/blob/main/elasticsearch-index-sink.kamelet.yaml |
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| // THIS FILE IS AUTOMATICALLY GENERATED: DO NOT EDIT |