Azure Storage Blob Data Lake Sink
Provided by: "Apache Software Foundation"
Support Level for this Kamelet is: "Stable"
Send data to Azure Storage Blob Data Lake.
Configuration Options
The following table summarizes the configuration options available for the azure-storage-datalake-sink
Kamelet:
Property | Name | Description | Type | Default | Example |
---|---|---|---|---|---|
Account Name | Required The Azure Storage Blob Data lake account name. | string | |||
Client Id | Required The Azure Storage Blob Data lake client Id. | string | |||
Client Secret | Required The Azure Storage Blob Data lake client secret. | string | |||
File System Name | Required The Azure Storage Blob Data lake File system name. | string | |||
Tenant Id | Required The Azure Storage Blob Data lake tenant id. | string |
Dependencies
At runtime, the azure-storage-datalake-sink
Kamelet relies upon the presence of the following dependencies:
-
camel:azure-storage-datalake
-
camel:kamelet
-
camel:core
-
camel:timer
-
github:apache.camel-kamelets:camel-kamelets-utils:3.21.1-SNAPSHOT
Usage
This section describes how you can use the azure-storage-datalake-sink
.
Knative sink
You can use the azure-storage-datalake-sink
Kamelet as a Knative sink by binding it to a Knative object.
apiVersion: camel.apache.org/v1alpha1
kind: KameletBinding
metadata:
name: azure-storage-datalake-sink-binding
spec:
source:
ref:
kind: Channel
apiVersion: messaging.knative.dev/v1
name: mychannel
sink:
ref:
kind: Kamelet
apiVersion: camel.apache.org/v1alpha1
name: azure-storage-datalake-sink
properties:
accountName: The Account Name
clientId: The Client Id
clientSecret: The Client Secret
fileSystemName: The File System Name
tenantId: The Tenant Id
Prerequisite
You have Camel K installed on the cluster.
Procedure for using the cluster CLI
-
Save the
azure-storage-datalake-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 azure-storage-datalake-sink-binding.yaml
Procedure for using the Kamel CLI
Configure and run the sink by using the following command:
kamel bind azure-storage-datalake-sink -p "sink.accountName=The Account Name" -p "sink.clientId=The Client Id" -p "sink.clientSecret=The Client Secret" -p "sink.fileSystemName=The File System Name" -p "sink.tenantId=The Tenant Id" channel:mychannel
This command creates the KameletBinding in the current namespace on the cluster.
Kafka sink
You can use the azure-storage-datalake-sink
Kamelet as a Kafka sink by binding it to a Kafka topic.
apiVersion: camel.apache.org/v1alpha1
kind: KameletBinding
metadata:
name: azure-storage-datalake-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: azure-storage-datalake-sink
properties:
accountName: The Account Name
clientId: The Client Id
clientSecret: The Client Secret
fileSystemName: The File System Name
tenantId: The Tenant 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
azure-storage-datalake-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 azure-storage-datalake-sink-binding.yaml
Procedure for using the Kamel CLI
Configure and run the sink by using the following command:
kamel bind azure-storage-datalake-sink -p "sink.accountName=The Account Name" -p "sink.clientId=The Client Id" -p "sink.clientSecret=The Client Secret" -p "sink.fileSystemName=The File System Name" -p "sink.tenantId=The Tenant Id" kafka.strimzi.io/v1beta1:KafkaTopic:my-topic
This command creates the KameletBinding in the current namespace on the cluster.