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deployment-name:
api_field: deploymentId
arg_name: deployment
help_text: |
deployment name.
max-slots:
api_field: deployment.deploymentSpec.limits.maxSlots
arg_name: max-slots
type: googlecloudsdk.core.util.scaled_integer:ParseInteger
help_text: |
max slots of the Flink deployment.
display-name:
api_field: deployment.displayName
arg_name: display-name
help_text: |
display name of the Flink deployment.
network-config-vpc:
api_field: deployment.deploymentSpec.networkConfig.vpc
arg_name: network-config-vpc
help_text: |
fully qualified VPC network for the Flink deployment network config.
Formatted as: projects/{project}/global/networks/{network_id}.
network-config-subnetwork:
api_field: deployment.deploymentSpec.networkConfig.subnetwork
arg_name: network-config-subnetwork
help_text: |
subnetwork for the Flink deployment network config.
secrets-paths:
api_field: deployment.deploymentSpec.secretsPaths
arg_name: secrets-paths
help_text: |
path to the secrets manager for the Flink deployment. (ie. projects/{my-project}/secrets/{my-secret}/versions/{1})
## Job Specific Flags
deployment:
arg_name: deployment
help_text: |
deployment name.
staging-location:
arg_name: staging-location
help_text: |
staging location for artifacts related to Flink jobs. For example:
`gs://staging-bucket/flink`
args:
arg_name: args
type: "googlecloudsdk.calliope.arg_parsers:ArgList:"
help_text: |
List of arguments to pass to the Flink job.
class:
arg_name: class
help_text: |
Class with the program entry point (`main()` method). Only needed if the
JAR files does not specify the class in its manifest.
# GCP "Better Together" Flags
managed-kafka-clusters:
api_field: job.jobSpec.managedKafkaConfig.managedKafkaClusters
arg_name: managed-kafka-clusters
type: "googlecloudsdk.calliope.arg_parsers:ArgList:"
help_text: |
a list of Managed Kafka clusters for the Flink job to connect to. For example:
`projects/123456789/locations/us-central1/clusters/my-cluster`.