Class Instance (1.10.3)

Instance(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Represents a Data Fusion instance.

Attributes

NameDescription
name str
Output only. The name of this instance is in the form of projects/{project}/locations/{location}/instances/{instance}.
description str
A description of this instance.
type_ google.cloud.data_fusion_v1.types.Instance.Type
Required. Instance type.
enable_stackdriver_logging bool
Option to enable Stackdriver Logging.
enable_stackdriver_monitoring bool
Option to enable Stackdriver Monitoring.
private_instance bool
Specifies whether the Data Fusion instance should be private. If set to true, all Data Fusion nodes will have private IP addresses and will not be able to access the public internet.
network_config google.cloud.data_fusion_v1.types.NetworkConfig
Network configuration options. These are required when a private Data Fusion instance is to be created.
labels MutableMapping[str, str]
The resource labels for instance to use to annotate any related underlying resources such as Compute Engine VMs. The character '=' is not allowed to be used within the labels.
options MutableMapping[str, str]
Map of additional options used to configure the behavior of Data Fusion instance.
create_time google.protobuf.timestamp_pb2.Timestamp
Output only. The time the instance was created.
update_time google.protobuf.timestamp_pb2.Timestamp
Output only. The time the instance was last updated.
state google.cloud.data_fusion_v1.types.Instance.State
Output only. The current state of this Data Fusion instance.
state_message str
Output only. Additional information about the current state of this Data Fusion instance if available.
service_endpoint str
Output only. Endpoint on which the Data Fusion UI is accessible.
zone str
Name of the zone in which the Data Fusion instance will be created. Only DEVELOPER instances use this field.
version str
Current version of the Data Fusion. Only specifiable in Update.
service_account str
Output only. Deprecated. Use tenant_project_id instead to extract the tenant project ID.
display_name str
Display name for an instance.
available_version MutableSequence[google.cloud.data_fusion_v1.types.Version]
Available versions that the instance can be upgraded to using UpdateInstanceRequest.
api_endpoint str
Output only. Endpoint on which the REST APIs is accessible.
gcs_bucket str
Output only. Cloud Storage bucket generated by Data Fusion in the customer project.
accelerators MutableSequence[google.cloud.data_fusion_v1.types.Accelerator]
List of accelerators enabled for this CDF instance.
p4_service_account str
Output only. P4 service account for the customer project.
tenant_project_id str
Output only. The name of the tenant project.
dataproc_service_account str
User-managed service account to set on Dataproc when Cloud Data Fusion creates Dataproc to run data processing pipelines. This allows users to have fine-grained access control on Dataproc's accesses to cloud resources.
enable_rbac bool
Option to enable granular role-based access control.
crypto_key_config google.cloud.data_fusion_v1.types.CryptoKeyConfig
The crypto key configuration. This field is used by the Customer-Managed Encryption Keys (CMEK) feature.
disabled_reason MutableSequence[google.cloud.data_fusion_v1.types.Instance.DisabledReason]
Output only. If the instance state is DISABLED, the reason for disabling the instance.

Classes

DisabledReason

DisabledReason(value)

The reason for disabling the instance if the state is DISABLED.

Values: DISABLED_REASON_UNSPECIFIED (0): This is an unknown reason for disabling. KMS_KEY_ISSUE (1): The KMS key used by the instance is either revoked or denied access to

LabelsEntry

LabelsEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The abstract base class for a message.

Parameters
NameDescription
kwargs dict

Keys and values corresponding to the fields of the message.

mapping Union[dict, .Message]

A dictionary or message to be used to determine the values for this message.

ignore_unknown_fields Optional(bool)

If True, do not raise errors for unknown fields. Only applied if mapping is a mapping type or there are keyword parameters.

OptionsEntry

OptionsEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The abstract base class for a message.

Parameters
NameDescription
kwargs dict

Keys and values corresponding to the fields of the message.

mapping Union[dict, .Message]

A dictionary or message to be used to determine the values for this message.

ignore_unknown_fields Optional(bool)

If True, do not raise errors for unknown fields. Only applied if mapping is a mapping type or there are keyword parameters.

State

State(value)

Represents the state of a Data Fusion instance

Values: STATE_UNSPECIFIED (0): Instance does not have a state yet CREATING (1): Instance is being created ACTIVE (2): Instance is active and ready for requests. This corresponds to 'RUNNING' in datafusion.v1beta1. FAILED (3): Instance creation failed DELETING (4): Instance is being deleted UPGRADING (5): Instance is being upgraded RESTARTING (6): Instance is being restarted UPDATING (7): Instance is being updated on customer request AUTO_UPDATING (8): Instance is being auto-updated AUTO_UPGRADING (9): Instance is being auto-upgraded DISABLED (10): Instance is disabled

Type

Type(value)

Represents the type of Data Fusion instance. Each type is configured with the default settings for processing and memory.

Values: TYPE_UNSPECIFIED (0): No type specified. The instance creation will fail. BASIC (1): Basic Data Fusion instance. In Basic type, the user will be able to create data pipelines using point and click UI. However, there are certain limitations, such as fewer number of concurrent pipelines, no support for streaming pipelines, etc. ENTERPRISE (2): Enterprise Data Fusion instance. In Enterprise type, the user will have all features available, such as support for streaming pipelines, higher number of concurrent pipelines, etc. DEVELOPER (3): Developer Data Fusion instance. In Developer type, the user will have all features available but with restrictive capabilities. This is to help enterprises design and develop their data ingestion and integration pipelines at low cost.