Fix the FlinkRunner for Dataproc (apache#32742)

sdks/python/apache_beam/runners/interactive/dataproc/dataproc_cluster_manager.py

@@ -169,6 +169,7 @@ def create_cluster(self, cluster: dict) -> None:
   def create_flink_cluster(self) -> None:
     """Calls _create_cluster with a configuration that enables FlinkRunner."""
     init_action_path = self.stage_init_action()
+    # https://cloud.google.com/php/docs/reference/cloud-dataproc/latest/V1.Cluster
     cluster = {
         'project_id': self.cluster_metadata.project_id,
         'cluster_name': self.cluster_metadata.cluster_name,
@@ -194,7 +195,8 @@ def create_flink_cluster(self) -> None:
                 },
                 'service_account_scopes': [
                     'https://www.googleapis.com/auth/cloud-platform'
-                ]
+                ],
+                'internal_ip_only': False
             },
             'master_config': {
                 # There must be 1 and only 1 instance of master.

sdks/python/apache_beam/runners/interactive/interactive_beam.py

@@ -408,10 +408,11 @@ class Clusters:
   To configure a pipeline to run on a local FlinkRunner, explicitly set the
   default cluster metadata to None: ib.clusters.set_default_cluster(None).
   """
-  # Explicitly set the Flink version here to ensure compatibility with 2.1
+  # Explicitly set the Flink version here to ensure compatibility with 2.2
   # Dataproc images:
-  # https://cloud.google.com/dataproc/docs/concepts/versioning/dataproc-release-2.1
-  DATAPROC_FLINK_VERSION = '1.15'
+  # https://cloud.google.com/dataproc/docs/concepts/versioning/dataproc-release-2.2
+  # you can manually override this by importing Clusters
+  DATAPROC_FLINK_VERSION = '1.17'
 
   # The minimum worker number to create a Dataproc cluster.
   DATAPROC_MINIMUM_WORKER_NUM = 2