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Checky-pick https://github.com/apache/beam/pull/32737/ #32742

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Oct 10, 2024
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Checky-pick https://github.com/apache/beam/pull/32737/ #32742

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4 changes: 3 additions & 1 deletion sdks/python/apache_beam/runners/interactive/dataproc/dataproc_cluster_manager.py
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Original file line number Diff line number Diff line change
Expand Up @@ -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,
Expand All @@ -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.
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7 changes: 4 additions & 3 deletions sdks/python/apache_beam/runners/interactive/interactive_beam.py
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Expand Up @@ -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
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