Azure Storage Queues binding spec

Detailed documentation on the Azure Storage Queues binding component

配置

To setup Azure Storage Queues binding create a component of type bindings.azure.storagequeues. See this guide on how to create and apply a binding configuration.

  1. apiVersion: dapr.io/v1alpha1
  2. kind: Component
  3. metadata:
  4.   name: <NAME>
  5.   namespace: <NAMESPACE>
  6. spec:
  7.   type: bindings.azure.storagequeues
  8.   version: v1
  9.   metadata:
  10.   - name: storageAccount
  11.     value: "account1"
  12.   - name: storageAccessKey
  13.     value: "***********"
  14.   - name: queue
  15.     value: "myqueue"
  16.   - name: ttlInSeconds
  17.     value: "60"

Warning

以上示例将密钥明文存储， It is recommended to use a secret store for the secrets as described here.

元数据字段规范

字段必填绑定支持详情Example
storageAccountYInput/OutputThe Azure Storage account name“account1”
storageAccessKeyYInput/OutputThe Azure Storage access key“accessKey”
queueYInput/OutputThe name of the Azure Storage queue“myqueue”
ttlInsecondsN输出Parameter to set the default message time to live. If this parameter is omitted, messages will expire after 10 minutes. See also“60”

绑定支持

此组件支持 输入和输出 绑定接口。

字段名为 ttlInSeconds。

  • create

输出绑定支持的操作

可以在队列级别 ( 如上所述) 或消息级别定义生存时间。 在消息级别定义的值会覆盖在队列级别设置的任何值。

若要设置在消息级别生存的时间，请使用 metadata 请求正文中的元数据部分。

字段名为 ttlInSeconds。

You can run Kafka locally using this Docker image. To run without Docker, see the getting started guide here.

  1. curl -X POST http://localhost:3500/v1.0/bindings/myStorageQueue \
  2.   -H "Content-Type: application/json" \
  3.   -d '{
  4.         "data": {
  5.           "message": "Hi"
  6.         },
  7.         "metadata": {
  8.           "ttlInSeconds": "60"
  9.         },
  10.         "operation": "create"
  11.       }'

相关链接