apache_beam.runners.interactive.dataproc.dataproc_cluster_manager module

class apache_beam.runners.interactive.dataproc.dataproc_cluster_manager.MasterURLIdentifier(project_id: Union[str, NoneType] = None, region: Union[str, NoneType] = None, cluster_name: Union[str, NoneType] = None)

Bases: object

project_id = None

region = None

cluster_name = None

class apache_beam.runners.interactive.dataproc.dataproc_cluster_manager.DataprocClusterManager(cluster_metadata: apache_beam.runners.interactive.dataproc.dataproc_cluster_manager.MasterURLIdentifier)

Bases: object

The DataprocClusterManager object simplifies the operations required for creating and deleting Dataproc clusters for use under Interactive Beam.

Initializes the DataprocClusterManager with properties required to interface with the Dataproc ClusterControllerClient.

create_cluster(cluster: dict) → None

Attempts to create a cluster using attributes that were initialized with the DataprocClusterManager instance.

Parameters:cluster – Dictionary representing Dataproc cluster. Read more about the schema for clusters here: https://cloud.google.com/python/docs/reference/dataproc/latest/google.cloud.dataproc_v1.types.Cluster

create_flink_cluster() → None

Calls _create_cluster with a configuration that enables FlinkRunner.

cleanup() → None

Deletes the cluster that uses the attributes initialized with the DataprocClusterManager instance.

describe() → None

Returns a dictionary describing the cluster.

get_cluster_details(cluster_metadata: apache_beam.runners.interactive.dataproc.dataproc_cluster_manager.MasterURLIdentifier) → google.cloud.dataproc_v1.types.clusters.Cluster

Gets the Dataproc_v1 Cluster object for the current cluster manager.

wait_for_cluster_to_provision(cluster_metadata: apache_beam.runners.interactive.dataproc.dataproc_cluster_manager.MasterURLIdentifier) → None

get_staging_location(cluster_metadata: apache_beam.runners.interactive.dataproc.dataproc_cluster_manager.MasterURLIdentifier) → str

Gets the staging bucket of an existing Dataproc cluster.

parse_master_url_and_dashboard(cluster_metadata: apache_beam.runners.interactive.dataproc.dataproc_cluster_manager.MasterURLIdentifier, line: str) → Tuple[str, str]

Parses the master_url and YARN application_id of the Flink process from an input line. The line containing both the master_url and application id is always formatted as such: {text} Found Web Interface {master_url} of application ‘{application_id}’.n

Truncated example where ‘…’ represents additional text between segments: … google-dataproc-startup[000]: … activate-component-flink[0000]: …org.apache.flink.yarn.YarnClusterDescriptor… [] - Found Web Interface example-master-url:50000 of application ‘application_123456789000_0001’.

Returns the flink_master_url and dashboard link as a tuple.

get_master_url_and_dashboard(cluster_metadata: apache_beam.runners.interactive.dataproc.dataproc_cluster_manager.MasterURLIdentifier, staging_bucket) → Tuple[Optional[str], Optional[str]]

Returns the master_url of the current cluster.

cleanup_staging_files(staging_directory: str) → None