Google Big Query Sink
Provided by: "Apache Software Foundation"
Support Level for this Kamelet is: "Stable"
Send data to a Google Big Query table.
The data must be JSON format to represent an object or an array of objects.
Configuration Options
The following table summarizes the configuration options available for the google-bigquery-sink
Kamelet:
Property | Name | Description | Type | Default | Example |
---|---|---|---|---|---|
Big Query Dataset Id |
Required The Big Query Dataset ID. |
string |
|||
Google Cloud Project Id |
Required The Google Cloud Project ID. |
string |
|||
Service Account Key |
Required The service account key to use as credentials for the BigQuery Service. You must encode this value in base64. |
binary |
|||
Big Query Table Id |
Required The Big Query Table ID. |
string |
Dependencies
At runtime, the google-bigquery-sink
Kamelet relies upon the presence of the following dependencies:
-
camel:core
-
camel:kamelet
-
camel:google-bigquery
-
camel:jackson
Usage
This section describes how you can use the google-bigquery-sink
.
Knative sink
You can use the google-bigquery-sink
Kamelet as a Knative sink by binding it to a Knative object.
apiVersion: camel.apache.org/v1alpha1
kind: KameletBinding
metadata:
name: google-bigquery-sink-binding
spec:
source:
ref:
kind: Channel
apiVersion: messaging.knative.dev/v1
name: mychannel
sink:
ref:
kind: Kamelet
apiVersion: camel.apache.org/v1alpha1
name: google-bigquery-sink
properties:
dataset: The Big Query Dataset Id
projectId: The Google Cloud Project Id
serviceAccountKey: The Service Account Key
table: The Big Query Table Id
Prerequisite
You have Camel K installed on the cluster.
Procedure for using the cluster CLI
-
Save the
google-bigquery-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 google-bigquery-sink-binding.yaml
Procedure for using the Kamel CLI
Configure and run the sink by using the following command:
kamel bind google-bigquery-sink -p "sink.dataset=The Big Query Dataset Id" -p "sink.projectId=The Google Cloud Project Id" -p "sink.serviceAccountKey=The Service Account Key" -p "sink.table=The Big Query Table Id" channel:mychannel
This command creates the KameletBinding in the current namespace on the cluster.
Kafka sink
You can use the google-bigquery-sink
Kamelet as a Kafka sink by binding it to a Kafka topic.
apiVersion: camel.apache.org/v1alpha1
kind: KameletBinding
metadata:
name: google-bigquery-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: google-bigquery-sink
properties:
dataset: The Big Query Dataset Id
projectId: The Google Cloud Project Id
serviceAccountKey: The Service Account Key
table: The Big Query Table Id
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
google-bigquery-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 google-bigquery-sink-binding.yaml
Procedure for using the Kamel CLI
Configure and run the sink by using the following command:
kamel bind google-bigquery-sink -p "sink.dataset=The Big Query Dataset Id" -p "sink.projectId=The Google Cloud Project Id" -p "sink.serviceAccountKey=The Service Account Key" -p "sink.table=The Big Query Table Id" kafka.strimzi.io/v1beta1:KafkaTopic:my-topic
This command creates the KameletBinding in the current namespace on the cluster.