Set retry parameter for a queue

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Sets retry parameter for a queue for migrating from taskqueues example.

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For detailed documentation that includes this code sample, see the following:

Code sample

Java

To learn how to install and use the client library for Cloud Tasks, see Cloud Tasks client libraries. 

import com.google.cloud.tasks.v2.CloudTasksClient;
import com.google.cloud.tasks.v2.LocationName;
import com.google.cloud.tasks.v2.Queue;
import com.google.cloud.tasks.v2.QueueName;
import com.google.cloud.tasks.v2.RateLimits;
import com.google.cloud.tasks.v2.RetryConfig;
import com.google.protobuf.Duration;

public class RetryTask {
  public static void retryTask(
      String projectId, String locationId, String fooqueue, String barqueue, String bazqueue)
      throws Exception {
    try (CloudTasksClient client = CloudTasksClient.create()) {
      // TODO(developer): Uncomment these lines and replace with your values.
      // String projectId = "your-project-id";
      // String locationId = "us-central1";
      // String fooqueue = "fooqueue";
      // String barqueue = "barqueue";
      // String bazqueue = "bazqueue";

      LocationName parent = LocationName.of(projectId, locationId);

      Duration retryDuration = Duration.newBuilder().setSeconds(2 * 60 * 60 * 24).build();
      Duration min = Duration.newBuilder().setSeconds(10).build();
      Duration max1 = Duration.newBuilder().setSeconds(200).build();
      Duration max2 = Duration.newBuilder().setSeconds(300).build();

      Queue foo =
          Queue.newBuilder()
              .setName(QueueName.of(projectId, locationId, fooqueue).toString())
              .setRateLimits(RateLimits.newBuilder().setMaxDispatchesPerSecond(1.0))
              .setRetryConfig(
                  RetryConfig.newBuilder().setMaxAttempts(7).setMaxRetryDuration(retryDuration))
              .build();

      Queue bar =
          Queue.newBuilder()
              .setName(QueueName.of(projectId, locationId, barqueue).toString())
              .setRateLimits(RateLimits.newBuilder().setMaxDispatchesPerSecond(1.0))
              .setRetryConfig(
                  RetryConfig.newBuilder()
                      .setMinBackoff(min)
                      .setMaxBackoff(max1)
                      .setMaxDoublings(0))
              .build();

      Queue baz =
          Queue.newBuilder()
              .setName(QueueName.of(projectId, locationId, bazqueue).toString())
              .setRateLimits(RateLimits.newBuilder().setMaxDispatchesPerSecond(1.0))
              .setRetryConfig(
                  RetryConfig.newBuilder()
                      .setMinBackoff(min)
                      .setMaxBackoff(max2)
                      .setMaxDoublings(3))
              .build();

      Queue[] queues = new Queue[] {foo, bar, baz};
      for (Queue queue : queues) {
        Queue response = client.createQueue(parent, queue);
        System.out.println(response);
      }
    }
  }
}

Python

To learn how to install and use the client library for Cloud Tasks, see Cloud Tasks client libraries. 

from google.protobuf import duration_pb2

client = tasks.CloudTasksClient()

# TODO(developer): Uncomment these lines and replace with your values.
# project = 'my-project-id'
# location = 'us- central1'
# fooqueue = 'fooqueue'
# barqueue = 'barqueue'
# bazqueue = 'bazqueue'

parent = f"projects/{project}/locations/{location}"

max_retry = duration_pb2.Duration()
max_retry.seconds = 2*60*60*24

foo = {
    'name': client.queue_path(project, location, fooqueue),
    'rate_limits': {
        'max_dispatches_per_second': 1
    },
    'retry_config': {
        'max_attempts': 7,
        'max_retry_duration': max_retry
    }
}

min = duration_pb2.Duration()
min.seconds = 10

max = duration_pb2.Duration()
max.seconds = 200

bar = {
    'name': client.queue_path(project, location, barqueue),
    'rate_limits': {
        'max_dispatches_per_second': 1
    },
    'retry_config': {
        'min_backoff': min,
        'max_backoff': max,
        'max_doublings': 0
    }
}

max.seconds = 300
baz = {
    'name': client.queue_path(project, location, bazqueue),
    'rate_limits': {
        'max_dispatches_per_second': 1
    },
    'retry_config': {
        'min_backoff': min,
        'max_backoff': max,
        'max_doublings': 3
    }
}

queues = [foo, bar, baz]
for queue in queues:
    response = client.create_queue(parent=parent, queue=queue)
    print(response)

What's next

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