twitter search source Twitter Search Source

Provided by: "Apache Software Foundation"

Support Level for this Kamelet is: "Preview"

Allows to get all tweets on particular keywords from Twitter.

It requires tokens that can be obtained by creating an application in the Twitter developer portal: https://developer.twitter.com/.

Configuration Options

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

Property Name Description Type Default Example

accessToken *

Access Token

The Access Token from the Twitter application in the developer portal

string

accessTokenSecret *

Access Token Secret

The Access Token Secret from the Twitter application in the developer portal

string

apiKey *

API Key

The API Key from the Twitter application in the developer portal

string

apiKeySecret *

API Key Secret

The API Key Secret from the Twitter application in the developer portal

string

keywords *

Keywords

The keywords to use in the Twitter search (Supports Twitter standard operators)

string

"Apache Camel"

Fields marked with (*) are mandatory.

Usage

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

Knative Source

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

twitter-search-source-binding.yaml
apiVersion: camel.apache.org/v1alpha1
kind: KameletBinding
metadata:
  name: twitter-search-source-binding
spec:
  source:
    ref:
      kind: Kamelet
      apiVersion: camel.apache.org/v1alpha1
      name: twitter-search-source
    properties:
      accessToken: "The Access Token"
      accessTokenSecret: "The Access Token Secret"
      apiKey: "The API Key"
      apiKeySecret: "The API Key Secret"
      keywords: "Apache Camel"
  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 twitter-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 twitter-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 twitter-search-source -p "source.accessToken=The Access Token" -p "source.accessTokenSecret=The Access Token Secret" -p "source.apiKey=The API Key" -p "source.apiKeySecret=The API Key Secret" -p "source.keywords=Apache Camel" channel/mychannel

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

Kafka Source

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

twitter-search-source-binding.yaml
apiVersion: camel.apache.org/v1alpha1
kind: KameletBinding
metadata:
  name: twitter-search-source-binding
spec:
  source:
    ref:
      kind: Kamelet
      apiVersion: camel.apache.org/v1alpha1
      name: twitter-search-source
    properties:
      accessToken: "The Access Token"
      accessTokenSecret: "The Access Token Secret"
      apiKey: "The API Key"
      apiKeySecret: "The API Key Secret"
      keywords: "Apache Camel"
  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 twitter-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 twitter-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 twitter-search-source -p "source.accessToken=The Access Token" -p "source.accessTokenSecret=The Access Token Secret" -p "source.apiKey=The API Key" -p "source.apiKeySecret=The API Key Secret" -p "source.keywords=Apache Camel" 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.