MaksYermak commented on a change in pull request #19248:
URL: https://github.com/apache/airflow/pull/19248#discussion_r739344873



##########
File path: airflow/providers/google/cloud/operators/dataproc.py
##########
@@ -2159,3 +2160,311 @@ def execute(self, context: Dict):
         )
         operation.result()
         self.log.info("Updated %s cluster.", self.cluster_name)
+
+
+class DataprocCreateBatchOperator(BaseOperator):
+    """
+    Creates a batch workload.
+
+    :param project_id: Required. The ID of the Google Cloud project that the 
cluster belongs to.
+    :type project_id: str
+    :param region: Required. The Cloud Dataproc region in which to handle the 
request.
+    :type region: str
+    :param batch: Required. The batch to create.
+    :type batch: google.cloud.dataproc_v1.types.Batch
+    :param batch_id: Optional. The ID to use for the batch, which will become 
the final component
+        of the batch's resource name.
+        This value must be 4-63 characters. Valid characters are /[a-z][0-9]-/.
+    :type batch_id: str
+    :param request_id: Optional. A unique id used to identify the request. If 
the server receives two
+        ``CreateBatchRequest`` requests with the same id, then the second 
request will be ignored and
+        the first ``google.longrunning.Operation`` created and stored in the 
backend is returned.
+    :type request_id: str
+    :param retry: A retry object used to retry requests. If ``None`` is 
specified, requests will not be
+        retried.
+    :type retry: google.api_core.retry.Retry
+    :param timeout: The amount of time, in seconds, to wait for the request to 
complete. Note that if
+        ``retry`` is specified, the timeout applies to each individual attempt.
+    :type timeout: float
+    :param metadata: Additional metadata that is provided to the method.
+    :type metadata: Sequence[Tuple[str, str]]
+    """

Review comment:
       @josh-fell I've added it 




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