Class ManagedKafkaClient (0.1.1)

ManagedKafkaClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.cloud.managedkafka_v1.services.managed_kafka.transports.base.ManagedKafkaTransport, typing.Callable[[...], google.cloud.managedkafka_v1.services.managed_kafka.transports.base.ManagedKafkaTransport]]] = None, client_options: typing.Optional[typing.Union[google.api_core.client_options.ClientOptions, dict]] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = <google.api_core.gapic_v1.client_info.ClientInfo object>)

The service that a client application uses to manage Apache Kafka clusters, topics and consumer groups.

Properties

api_endpoint

Return the API endpoint used by the client instance.

Returns
Type	Description
`str`	The API endpoint used by the client instance.

transport

Returns the transport used by the client instance.

Returns
Type	Description
`ManagedKafkaTransport`	The transport used by the client instance.

universe_domain

Return the universe domain used by the client instance.

Returns
Type	Description
`str`	The universe domain used by the client instance.

Methods

ManagedKafkaClient

ManagedKafkaClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.cloud.managedkafka_v1.services.managed_kafka.transports.base.ManagedKafkaTransport, typing.Callable[[...], google.cloud.managedkafka_v1.services.managed_kafka.transports.base.ManagedKafkaTransport]]] = None, client_options: typing.Optional[typing.Union[google.api_core.client_options.ClientOptions, dict]] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = <google.api_core.gapic_v1.client_info.ClientInfo object>)

Instantiates the managed kafka client.

Parameters
Name	Description
`credentials`	`Optional[google.auth.credentials.Credentials]` The authorization credentials to attach to requests. These credentials identify the application to the service; if none are specified, the client will attempt to ascertain the credentials from the environment.
`transport`	`Optional[Union[str,ManagedKafkaTransport,Callable[..., ManagedKafkaTransport]]]` The transport to use, or a Callable that constructs and returns a new transport. If a Callable is given, it will be called with the same set of initialization arguments as used in the ManagedKafkaTransport constructor. If set to None, a transport is chosen automatically.
`client_options`	`Optional[Union[google.api_core.client_options.ClientOptions, dict]]` Custom options for the client. 1. The `api_endpoint` property can be used to override the default endpoint provided by the client when `transport` is not explicitly provided. Only if this property is not set and `transport` was not explicitly provided, the endpoint is determined by the GOOGLE_API_USE_MTLS_ENDPOINT environment variable, which have one of the following values: "always" (always use the default mTLS endpoint), "never" (always use the default regular endpoint) and "auto" (auto-switch to the default mTLS endpoint if client certificate is present; this is the default value). 2. If the GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable is "true", then the `client_cert_source` property can be used to provide a client certificate for mTLS transport. If not provided, the default SSL client certificate will be used if present. If GOOGLE_API_USE_CLIENT_CERTIFICATE is "false" or not set, no client certificate will be used. 3. The `universe_domain` property can be used to override the default "googleapis.com" universe. Note that the `api_endpoint` property still takes precedence; and `universe_domain` is currently not supported for mTLS.
`client_info`	`google.api_core.gapic_v1.client_info.ClientInfo` The client info used to send a user-agent string along with API requests. If `None`, then default info will be used. Generally, you only need to set this if you're developing your own client library.

Exceptions
Type	Description
`google.auth.exceptions.MutualTLSChannelError`	If mutual TLS transport creation failed for any reason.

exit

__exit__(type, value, traceback)

Releases underlying transport's resources.

cancel_operation

cancel_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.CancelOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Starts asynchronous cancellation on a long-running operation.

The server makes a best effort to cancel the operation, but success is not guaranteed. If the server doesn't support this method, it returns google.rpc.Code.UNIMPLEMENTED.

Parameters
Name	Description
`request`	`.operations_pb2.CancelOperationRequest` The request object. Request message for `CancelOperation` method.
`retry`	`google.api_core.retry.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

cluster_path

cluster_path(project: str, location: str, cluster: str) -> str

Returns a fully-qualified cluster string.

common_billing_account_path

common_billing_account_path(billing_account: str) -> str

Returns a fully-qualified billing_account string.

common_folder_path

common_folder_path(folder: str) -> str

Returns a fully-qualified folder string.

common_location_path

common_location_path(project: str, location: str) -> str

Returns a fully-qualified location string.

common_organization_path

common_organization_path(organization: str) -> str

Returns a fully-qualified organization string.

common_project_path

common_project_path(project: str) -> str

Returns a fully-qualified project string.

consumer_group_path

consumer_group_path(
    project: str, location: str, cluster: str, consumer_group: str
) -> str

Returns a fully-qualified consumer_group string.

create_cluster

create_cluster(
    request: typing.Optional[
        typing.Union[
            google.cloud.managedkafka_v1.types.managed_kafka.CreateClusterRequest, dict
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    cluster: typing.Optional[
        google.cloud.managedkafka_v1.types.resources.Cluster
    ] = None,
    cluster_id: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Creates a new cluster in a given project and location.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import managedkafka_v1

def sample_create_cluster():
    # Create a client
    client = managedkafka_v1.ManagedKafkaClient()

    # Initialize request argument(s)
    cluster = managedkafka_v1.Cluster()
    cluster.gcp_config.access_config.network_configs.subnet = "subnet_value"
    cluster.capacity_config.vcpu_count = 1094
    cluster.capacity_config.memory_bytes = 1311

    request = managedkafka_v1.CreateClusterRequest(
        parent="parent_value",
        cluster_id="cluster_id_value",
        cluster=cluster,
    )

    # Make the request
    operation = client.create_cluster(request=request)

    print("Waiting for operation to complete...")

    response = operation.result()

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Union[google.cloud.managedkafka_v1.types.CreateClusterRequest, dict]` The request object. Request for CreateCluster.
`parent`	`str` Required. The parent region in which to create the cluster. Structured like `projects/{project}/locations/{location}`. This corresponds to the `parent` field on the `request` instance; if `request` is provided, this should not be set.
`cluster`	`google.cloud.managedkafka_v1.types.Cluster` Required. Configuration of the cluster to create. Its `name` field is ignored. This corresponds to the `cluster` field on the `request` instance; if `request` is provided, this should not be set.
`cluster_id`	`str` Required. The ID to use for the cluster, which will become the final component of the cluster's name. The ID must be 1-63 characters long, and match the regular expression `a-z?` to comply with RFC 1035. This value is structured like: `my-cluster-id`. This corresponds to the `cluster_id` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns
Type	Description
`google.api_core.operation.Operation`	An object representing a long-running operation. The result type for the operation will be Cluster An Apache Kafka cluster deployed in a location.

create_topic

create_topic(
    request: typing.Optional[
        typing.Union[
            google.cloud.managedkafka_v1.types.managed_kafka.CreateTopicRequest, dict
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    topic: typing.Optional[google.cloud.managedkafka_v1.types.resources.Topic] = None,
    topic_id: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.managedkafka_v1.types.resources.Topic

Creates a new topic in a given project and location.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import managedkafka_v1

def sample_create_topic():
    # Create a client
    client = managedkafka_v1.ManagedKafkaClient()

    # Initialize request argument(s)
    topic = managedkafka_v1.Topic()
    topic.partition_count = 1634
    topic.replication_factor = 1912

    request = managedkafka_v1.CreateTopicRequest(
        parent="parent_value",
        topic_id="topic_id_value",
        topic=topic,
    )

    # Make the request
    response = client.create_topic(request=request)

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Union[google.cloud.managedkafka_v1.types.CreateTopicRequest, dict]` The request object. Request for CreateTopic.
`parent`	`str` Required. The parent cluster in which to create the topic. Structured like `projects/{project}/locations/{location}/clusters/{cluster}`. This corresponds to the `parent` field on the `request` instance; if `request` is provided, this should not be set.
`topic`	`google.cloud.managedkafka_v1.types.Topic` Required. Configuration of the topic to create. Its `name` field is ignored. This corresponds to the `topic` field on the `request` instance; if `request` is provided, this should not be set.
`topic_id`	`str` Required. The ID to use for the topic, which will become the final component of the topic's name. This value is structured like: `my-topic-name`. This corresponds to the `topic_id` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns
Type	Description
`google.cloud.managedkafka_v1.types.Topic`	A Kafka topic in a given cluster.

crypto_key_path

crypto_key_path(project: str, location: str, key_ring: str, crypto_key: str) -> str

Returns a fully-qualified crypto_key string.

delete_cluster

delete_cluster(
    request: typing.Optional[
        typing.Union[
            google.cloud.managedkafka_v1.types.managed_kafka.DeleteClusterRequest, dict
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Deletes a single cluster.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import managedkafka_v1

def sample_delete_cluster():
    # Create a client
    client = managedkafka_v1.ManagedKafkaClient()

    # Initialize request argument(s)
    request = managedkafka_v1.DeleteClusterRequest(
        name="name_value",
    )

    # Make the request
    operation = client.delete_cluster(request=request)

    print("Waiting for operation to complete...")

    response = operation.result()

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Union[google.cloud.managedkafka_v1.types.DeleteClusterRequest, dict]` The request object. Request for DeleteCluster.
`name`	`str` Required. The name of the cluster to delete. This corresponds to the `name` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns

Type Description

google.api_core.operation.Operation An object representing a long-running operation. The result type for the operation will be google.protobuf.empty_pb2.Empty A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance: service Foo { rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty); }

delete_consumer_group

delete_consumer_group(
    request: typing.Optional[
        typing.Union[
            google.cloud.managedkafka_v1.types.managed_kafka.DeleteConsumerGroupRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Deletes a single consumer group.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import managedkafka_v1

def sample_delete_consumer_group():
    # Create a client
    client = managedkafka_v1.ManagedKafkaClient()

    # Initialize request argument(s)
    request = managedkafka_v1.DeleteConsumerGroupRequest(
        name="name_value",
    )

    # Make the request
    client.delete_consumer_group(request=request)

Parameters
Name	Description
`request`	`Union[google.cloud.managedkafka_v1.types.DeleteConsumerGroupRequest, dict]` The request object. Request for DeleteConsumerGroup.
`name`	`str` Required. The name of the consumer group to delete. `projects/{project}/locations/{location}/clusters/{cluster}/consumerGroups/{consumerGroup}`. This corresponds to the `name` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

delete_operation

delete_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.DeleteOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Deletes a long-running operation.

This method indicates that the client is no longer interested in the operation result. It does not cancel the operation. If the server doesn't support this method, it returns google.rpc.Code.UNIMPLEMENTED.

Parameters
Name	Description
`request`	`.operations_pb2.DeleteOperationRequest` The request object. Request message for `DeleteOperation` method.
`retry`	`google.api_core.retry.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

delete_topic

delete_topic(
    request: typing.Optional[
        typing.Union[
            google.cloud.managedkafka_v1.types.managed_kafka.DeleteTopicRequest, dict
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Deletes a single topic.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import managedkafka_v1

def sample_delete_topic():
    # Create a client
    client = managedkafka_v1.ManagedKafkaClient()

    # Initialize request argument(s)
    request = managedkafka_v1.DeleteTopicRequest(
        name="name_value",
    )

    # Make the request
    client.delete_topic(request=request)

Parameters
Name	Description
`request`	`Union[google.cloud.managedkafka_v1.types.DeleteTopicRequest, dict]` The request object. Request for DeleteTopic.
`name`	`str` Required. The name of the topic to delete. `projects/{project}/locations/{location}/clusters/{cluster}/topics/{topic}`. This corresponds to the `name` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

from_service_account_file

from_service_account_file(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

Parameter
Name	Description
`filename`	`str` The path to the service account private key json file.

Returns
Type	Description
`ManagedKafkaClient`	The constructed client.

from_service_account_info

from_service_account_info(info: dict, *args, **kwargs)

Creates an instance of this client using the provided credentials info.

Parameter
Name	Description
`info`	`dict` The service account private key info.

Returns
Type	Description
`ManagedKafkaClient`	The constructed client.

from_service_account_json

from_service_account_json(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

Parameter
Name	Description
`filename`	`str` The path to the service account private key json file.

Returns
Type	Description
`ManagedKafkaClient`	The constructed client.

get_cluster

get_cluster(
    request: typing.Optional[
        typing.Union[
            google.cloud.managedkafka_v1.types.managed_kafka.GetClusterRequest, dict
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.managedkafka_v1.types.resources.Cluster

Returns the properties of a single cluster.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import managedkafka_v1

def sample_get_cluster():
    # Create a client
    client = managedkafka_v1.ManagedKafkaClient()

    # Initialize request argument(s)
    request = managedkafka_v1.GetClusterRequest(
        name="name_value",
    )

    # Make the request
    response = client.get_cluster(request=request)

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Union[google.cloud.managedkafka_v1.types.GetClusterRequest, dict]` The request object. Request for GetCluster.
`name`	`str` Required. The name of the cluster whose configuration to return. This corresponds to the `name` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns
Type	Description
`google.cloud.managedkafka_v1.types.Cluster`	An Apache Kafka cluster deployed in a location.

get_consumer_group

get_consumer_group(
    request: typing.Optional[
        typing.Union[
            google.cloud.managedkafka_v1.types.managed_kafka.GetConsumerGroupRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.managedkafka_v1.types.resources.ConsumerGroup

Returns the properties of a single consumer group.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import managedkafka_v1

def sample_get_consumer_group():
    # Create a client
    client = managedkafka_v1.ManagedKafkaClient()

    # Initialize request argument(s)
    request = managedkafka_v1.GetConsumerGroupRequest(
        name="name_value",
    )

    # Make the request
    response = client.get_consumer_group(request=request)

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Union[google.cloud.managedkafka_v1.types.GetConsumerGroupRequest, dict]` The request object. Request for GetConsumerGroup.
`name`	`str` Required. The name of the consumer group whose configuration to return. `projects/{project}/locations/{location}/clusters/{cluster}/consumerGroups/{consumerGroup}`. This corresponds to the `name` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns
Type	Description
`google.cloud.managedkafka_v1.types.ConsumerGroup`	A Kafka consumer group in a given cluster.

get_location

get_location(
    request: typing.Optional[
        google.cloud.location.locations_pb2.GetLocationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.Location

Gets information about a location.

Parameters
Name	Description
`request`	`.location_pb2.GetLocationRequest` The request object. Request message for `GetLocation` method.
`retry`	`google.api_core.retry.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns
Type	Description
`.location_pb2.Location`	Location object.

get_mtls_endpoint_and_cert_source

get_mtls_endpoint_and_cert_source(
    client_options: typing.Optional[
        google.api_core.client_options.ClientOptions
    ] = None,
)

Deprecated. Return the API endpoint and client cert source for mutual TLS.

The client cert source is determined in the following order: (1) if GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable is not "true", the client cert source is None. (2) if client_options.client_cert_source is provided, use the provided one; if the default client cert source exists, use the default one; otherwise the client cert source is None.

The API endpoint is determined in the following order: (1) if client_options.api_endpoint if provided, use the provided one. (2) if GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable is "always", use the default mTLS endpoint; if the environment variable is "never", use the default API endpoint; otherwise if client cert source exists, use the default mTLS endpoint, otherwise use the default API endpoint.

More details can be found at https://google.aip.dev/auth/4114.

Parameter
Name	Description
`client_options`	`google.api_core.client_options.ClientOptions` Custom options for the client. Only the `api_endpoint` and `client_cert_source` properties may be used in this method.

Exceptions
Type	Description
`google.auth.exceptions.MutualTLSChannelError`	If any errors happen.

Returns
Type	Description
`Tuple[str, Callable[[], Tuple[bytes, bytes]]]`	returns the API endpoint and the client cert source to use.

get_operation

get_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.GetOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Gets the latest state of a long-running operation.

Parameters
Name	Description
`request`	`.operations_pb2.GetOperationRequest` The request object. Request message for `GetOperation` method.
`retry`	`google.api_core.retry.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns
Type	Description
`.operations_pb2.Operation`	An `Operation` object.

get_topic

get_topic(
    request: typing.Optional[
        typing.Union[
            google.cloud.managedkafka_v1.types.managed_kafka.GetTopicRequest, dict
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.managedkafka_v1.types.resources.Topic

Returns the properties of a single topic.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import managedkafka_v1

def sample_get_topic():
    # Create a client
    client = managedkafka_v1.ManagedKafkaClient()

    # Initialize request argument(s)
    request = managedkafka_v1.GetTopicRequest(
        name="name_value",
    )

    # Make the request
    response = client.get_topic(request=request)

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Union[google.cloud.managedkafka_v1.types.GetTopicRequest, dict]` The request object. Request for GetTopic.
`name`	`str` Required. The name of the topic whose configuration to return. Structured like: projects/{project}/locations/{location}/clusters/{cluster}/topics/{topic}. This corresponds to the `name` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns
Type	Description
`google.cloud.managedkafka_v1.types.Topic`	A Kafka topic in a given cluster.

list_clusters

list_clusters(
    request: typing.Optional[
        typing.Union[
            google.cloud.managedkafka_v1.types.managed_kafka.ListClustersRequest, dict
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.managedkafka_v1.services.managed_kafka.pagers.ListClustersPager

Lists the clusters in a given project and location.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import managedkafka_v1

def sample_list_clusters():
    # Create a client
    client = managedkafka_v1.ManagedKafkaClient()

    # Initialize request argument(s)
    request = managedkafka_v1.ListClustersRequest(
        parent="parent_value",
    )

    # Make the request
    page_result = client.list_clusters(request=request)

    # Handle the response
    for response in page_result:
        print(response)

Parameters
Name	Description
`request`	`Union[google.cloud.managedkafka_v1.types.ListClustersRequest, dict]` The request object. Request for ListClusters.
`parent`	`str` Required. The parent location whose clusters are to be listed. Structured like `projects/{project}/locations/{location}`. This corresponds to the `parent` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns
Type	Description
`google.cloud.managedkafka_v1.services.managed_kafka.pagers.ListClustersPager`	Response for ListClusters. Iterating over this object will yield results and resolve additional pages automatically.

list_consumer_groups

list_consumer_groups(
    request: typing.Optional[
        typing.Union[
            google.cloud.managedkafka_v1.types.managed_kafka.ListConsumerGroupsRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.managedkafka_v1.services.managed_kafka.pagers.ListConsumerGroupsPager

Lists the consumer groups in a given cluster.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import managedkafka_v1

def sample_list_consumer_groups():
    # Create a client
    client = managedkafka_v1.ManagedKafkaClient()

    # Initialize request argument(s)
    request = managedkafka_v1.ListConsumerGroupsRequest(
        parent="parent_value",
    )

    # Make the request
    page_result = client.list_consumer_groups(request=request)

    # Handle the response
    for response in page_result:
        print(response)

Parameters
Name	Description
`request`	`Union[google.cloud.managedkafka_v1.types.ListConsumerGroupsRequest, dict]` The request object. Request for ListConsumerGroups.
`parent`	`str` Required. The parent cluster whose consumer groups are to be listed. Structured like `projects/{project}/locations/{location}/clusters/{cluster}`. This corresponds to the `parent` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns
Type	Description
`google.cloud.managedkafka_v1.services.managed_kafka.pagers.ListConsumerGroupsPager`	Response for ListConsumerGroups. Iterating over this object will yield results and resolve additional pages automatically.

list_locations

list_locations(
    request: typing.Optional[
        google.cloud.location.locations_pb2.ListLocationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.ListLocationsResponse

Lists information about the supported locations for this service.

Parameters
Name	Description
`request`	`.location_pb2.ListLocationsRequest` The request object. Request message for `ListLocations` method.
`retry`	`google.api_core.retry.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns
Type	Description
`.location_pb2.ListLocationsResponse`	Response message for `ListLocations` method.

list_operations

list_operations(
    request: typing.Optional[
        google.longrunning.operations_pb2.ListOperationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.ListOperationsResponse

Lists operations that match the specified filter in the request.

Parameters
Name	Description
`request`	`.operations_pb2.ListOperationsRequest` The request object. Request message for `ListOperations` method.
`retry`	`google.api_core.retry.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns
Type	Description
`.operations_pb2.ListOperationsResponse`	Response message for `ListOperations` method.

list_topics

list_topics(
    request: typing.Optional[
        typing.Union[
            google.cloud.managedkafka_v1.types.managed_kafka.ListTopicsRequest, dict
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.managedkafka_v1.services.managed_kafka.pagers.ListTopicsPager

Lists the topics in a given cluster.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import managedkafka_v1

def sample_list_topics():
    # Create a client
    client = managedkafka_v1.ManagedKafkaClient()

    # Initialize request argument(s)
    request = managedkafka_v1.ListTopicsRequest(
        parent="parent_value",
    )

    # Make the request
    page_result = client.list_topics(request=request)

    # Handle the response
    for response in page_result:
        print(response)

Parameters
Name	Description
`request`	`Union[google.cloud.managedkafka_v1.types.ListTopicsRequest, dict]` The request object. Request for ListTopics.
`parent`	`str` Required. The parent cluster whose topics are to be listed. Structured like `projects/{project}/locations/{location}/clusters/{cluster}`. This corresponds to the `parent` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns
Type	Description
`google.cloud.managedkafka_v1.services.managed_kafka.pagers.ListTopicsPager`	Response for ListTopics. Iterating over this object will yield results and resolve additional pages automatically.

parse_cluster_path

parse_cluster_path(path: str) -> typing.Dict[str, str]

Parses a cluster path into its component segments.

parse_common_billing_account_path

parse_common_billing_account_path(path: str) -> typing.Dict[str, str]

Parse a billing_account path into its component segments.

parse_common_folder_path

parse_common_folder_path(path: str) -> typing.Dict[str, str]

Parse a folder path into its component segments.

parse_common_location_path

parse_common_location_path(path: str) -> typing.Dict[str, str]

Parse a location path into its component segments.

parse_common_organization_path

parse_common_organization_path(path: str) -> typing.Dict[str, str]

Parse a organization path into its component segments.

parse_common_project_path

parse_common_project_path(path: str) -> typing.Dict[str, str]

Parse a project path into its component segments.

parse_consumer_group_path

parse_consumer_group_path(path: str) -> typing.Dict[str, str]

Parses a consumer_group path into its component segments.

parse_crypto_key_path

parse_crypto_key_path(path: str) -> typing.Dict[str, str]

Parses a crypto_key path into its component segments.

parse_topic_path

parse_topic_path(path: str) -> typing.Dict[str, str]

Parses a topic path into its component segments.

topic_path

topic_path(project: str, location: str, cluster: str, topic: str) -> str

Returns a fully-qualified topic string.

update_cluster

update_cluster(
    request: typing.Optional[
        typing.Union[
            google.cloud.managedkafka_v1.types.managed_kafka.UpdateClusterRequest, dict
        ]
    ] = None,
    *,
    cluster: typing.Optional[
        google.cloud.managedkafka_v1.types.resources.Cluster
    ] = None,
    update_mask: typing.Optional[google.protobuf.field_mask_pb2.FieldMask] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Updates the properties of a single cluster.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import managedkafka_v1

def sample_update_cluster():
    # Create a client
    client = managedkafka_v1.ManagedKafkaClient()

    # Initialize request argument(s)
    cluster = managedkafka_v1.Cluster()
    cluster.gcp_config.access_config.network_configs.subnet = "subnet_value"
    cluster.capacity_config.vcpu_count = 1094
    cluster.capacity_config.memory_bytes = 1311

    request = managedkafka_v1.UpdateClusterRequest(
        cluster=cluster,
    )

    # Make the request
    operation = client.update_cluster(request=request)

    print("Waiting for operation to complete...")

    response = operation.result()

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Union[google.cloud.managedkafka_v1.types.UpdateClusterRequest, dict]` The request object. Request for UpdateCluster.
`cluster`	`google.cloud.managedkafka_v1.types.Cluster` Required. The cluster to update. Its `name` field must be populated. This corresponds to the `cluster` field on the `request` instance; if `request` is provided, this should not be set.
`update_mask`	`google.protobuf.field_mask_pb2.FieldMask` Required. Field mask is used to specify the fields to be overwritten in the cluster resource by the update. The fields specified in the update_mask are relative to the resource, not the full request. A field will be overwritten if it is in the mask. The mask is required and a value of * will update all fields. This corresponds to the `update_mask` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns
Type	Description
`google.api_core.operation.Operation`	An object representing a long-running operation. The result type for the operation will be Cluster An Apache Kafka cluster deployed in a location.

update_consumer_group

update_consumer_group(
    request: typing.Optional[
        typing.Union[
            google.cloud.managedkafka_v1.types.managed_kafka.UpdateConsumerGroupRequest,
            dict,
        ]
    ] = None,
    *,
    consumer_group: typing.Optional[
        google.cloud.managedkafka_v1.types.resources.ConsumerGroup
    ] = None,
    update_mask: typing.Optional[google.protobuf.field_mask_pb2.FieldMask] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.managedkafka_v1.types.resources.ConsumerGroup

Updates the properties of a single consumer group.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import managedkafka_v1

def sample_update_consumer_group():
    # Create a client
    client = managedkafka_v1.ManagedKafkaClient()

    # Initialize request argument(s)
    request = managedkafka_v1.UpdateConsumerGroupRequest(
    )

    # Make the request
    response = client.update_consumer_group(request=request)

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Union[google.cloud.managedkafka_v1.types.UpdateConsumerGroupRequest, dict]` The request object. Request for UpdateConsumerGroup.
`consumer_group`	`google.cloud.managedkafka_v1.types.ConsumerGroup` Required. The consumer group to update. Its `name` field must be populated. This corresponds to the `consumer_group` field on the `request` instance; if `request` is provided, this should not be set.
`update_mask`	`google.protobuf.field_mask_pb2.FieldMask` Required. Field mask is used to specify the fields to be overwritten in the ConsumerGroup resource by the update. The fields specified in the update_mask are relative to the resource, not the full request. A field will be overwritten if it is in the mask. The mask is required and a value of * will update all fields. This corresponds to the `update_mask` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns
Type	Description
`google.cloud.managedkafka_v1.types.ConsumerGroup`	A Kafka consumer group in a given cluster.

update_topic

update_topic(
    request: typing.Optional[
        typing.Union[
            google.cloud.managedkafka_v1.types.managed_kafka.UpdateTopicRequest, dict
        ]
    ] = None,
    *,
    topic: typing.Optional[google.cloud.managedkafka_v1.types.resources.Topic] = None,
    update_mask: typing.Optional[google.protobuf.field_mask_pb2.FieldMask] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.managedkafka_v1.types.resources.Topic

Updates the properties of a single topic.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import managedkafka_v1

def sample_update_topic():
    # Create a client
    client = managedkafka_v1.ManagedKafkaClient()

    # Initialize request argument(s)
    topic = managedkafka_v1.Topic()
    topic.partition_count = 1634
    topic.replication_factor = 1912

    request = managedkafka_v1.UpdateTopicRequest(
        topic=topic,
    )

    # Make the request
    response = client.update_topic(request=request)

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Union[google.cloud.managedkafka_v1.types.UpdateTopicRequest, dict]` The request object. Request for UpdateTopic.
`topic`	`google.cloud.managedkafka_v1.types.Topic` Required. The topic to update. Its `name` field must be populated. This corresponds to the `topic` field on the `request` instance; if `request` is provided, this should not be set.
`update_mask`	`google.protobuf.field_mask_pb2.FieldMask` Required. Field mask is used to specify the fields to be overwritten in the Topic resource by the update. The fields specified in the update_mask are relative to the resource, not the full request. A field will be overwritten if it is in the mask. The mask is required and a value of * will update all fields. This corresponds to the `update_mask` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns
Type	Description
`google.cloud.managedkafka_v1.types.Topic`	A Kafka topic in a given cluster.