batchGet(parent, names=None, x__xgafv=None)
Gets transform descriptions in a batch, associated with a list of provided uniform resource names.
Close httplib2 connections.
Gets the transform description associated with the provided uniform resource name.
batchGet(parent, names=None, x__xgafv=None)
Gets transform descriptions in a batch, associated with a list of provided uniform resource names. Args: parent: string, Required. The project and location shared by all transform descriptions being retrieved, formatted as "projects/{project}/locations/{location}". (required) names: string, Optional. The names of the transform descriptions being retrieved, formatted as "projects/{project}/locations/{location}/transformdescriptions/{transform_description}". If no name is provided, all of the transform descriptions will be returned. (repeated) x__xgafv: string, V1 error format. Allowed values 1 - v1 error format 2 - v2 error format Returns: An object of the form: { # Response message for BatchGetTransformDescriptions "transformDescriptions": [ # List of requested transform descriptions. { # Description of a schema-aware transform, which provides info on how it can be configured. "name": "A String", # Output only. The full name of this resource formatted as: projects/{project}/locations/{location}/transformDescriptions/{transform_description} `transform_description` is the same as the `uniform_resource_name` field. "options": { # Represents a simplified Apache Beam schema. # Available options for configuring the transform. "fields": [ # Fields in the schema. Every field within a schema must have a unique name. { # Info for a single field in the schema. "name": "A String", # Name of the field. "type": { # Type info about a field. # Type info for the field. "collectionElementType": # Object with schema name: GoogleCloudDatapipelinesV1FieldType # If `type` is an array or iterable, this is the type contained in that array or iterable. "logicalType": { # Represents the input for creating a specified logical type. # If `type` is a logical type, this is the info for the specific logical type. "enumerationType": { # Represents the Beam EnumerationType logical type. # The enum represented by this logical type. "values": [ # Names of the values. The numeric value is the same as the index. "A String", ], }, "fixedBytes": { # Represents the Beam FixedBytes logical type. # The fixed-size byte collection represented by this logical type. "sizeBytes": 42, # Number of bytes to allocate. }, }, "mapType": { # Represents a map in a schema. # If `type` is a map, this is the key and value types for that map. "mapKeyType": # Object with schema name: GoogleCloudDatapipelinesV1FieldType # Key type of the map. Only atomic types are supported. "mapValueType": # Object with schema name: GoogleCloudDatapipelinesV1FieldType # Value type of the map. }, "nullable": True or False, # Whether or not this field is nullable. "rowSchema": # Object with schema name: GoogleCloudDatapipelinesV1Schema # If `type` is a row, this is the schema of that row. "type": "A String", # Specific type of the field. For non-atomic types, the corresponding type info for that non-atomic must be set. }, }, ], "referenceId": "A String", # An identifier of the schema for looking it up in a repository. This only needs to be set if the schema is stored in a repository. }, "uniformResourceName": "A String", # Unique resource name of the transform. }, ], }
close()
Close httplib2 connections.
get(name, x__xgafv=None)
Gets the transform description associated with the provided uniform resource name. Args: name: string, Required. The full name formatted as "projects/{your-project}/locations/{google-cloud-region}/transformdescriptions/{uniform-resource-name}". (required) x__xgafv: string, V1 error format. Allowed values 1 - v1 error format 2 - v2 error format Returns: An object of the form: { # Description of a schema-aware transform, which provides info on how it can be configured. "name": "A String", # Output only. The full name of this resource formatted as: projects/{project}/locations/{location}/transformDescriptions/{transform_description} `transform_description` is the same as the `uniform_resource_name` field. "options": { # Represents a simplified Apache Beam schema. # Available options for configuring the transform. "fields": [ # Fields in the schema. Every field within a schema must have a unique name. { # Info for a single field in the schema. "name": "A String", # Name of the field. "type": { # Type info about a field. # Type info for the field. "collectionElementType": # Object with schema name: GoogleCloudDatapipelinesV1FieldType # If `type` is an array or iterable, this is the type contained in that array or iterable. "logicalType": { # Represents the input for creating a specified logical type. # If `type` is a logical type, this is the info for the specific logical type. "enumerationType": { # Represents the Beam EnumerationType logical type. # The enum represented by this logical type. "values": [ # Names of the values. The numeric value is the same as the index. "A String", ], }, "fixedBytes": { # Represents the Beam FixedBytes logical type. # The fixed-size byte collection represented by this logical type. "sizeBytes": 42, # Number of bytes to allocate. }, }, "mapType": { # Represents a map in a schema. # If `type` is a map, this is the key and value types for that map. "mapKeyType": # Object with schema name: GoogleCloudDatapipelinesV1FieldType # Key type of the map. Only atomic types are supported. "mapValueType": # Object with schema name: GoogleCloudDatapipelinesV1FieldType # Value type of the map. }, "nullable": True or False, # Whether or not this field is nullable. "rowSchema": # Object with schema name: GoogleCloudDatapipelinesV1Schema # If `type` is a row, this is the schema of that row. "type": "A String", # Specific type of the field. For non-atomic types, the corresponding type info for that non-atomic must be set. }, }, ], "referenceId": "A String", # An identifier of the schema for looking it up in a repository. This only needs to be set if the schema is stored in a repository. }, "uniformResourceName": "A String", # Unique resource name of the transform. }