Class ManagedKafkaAsyncClient (0.1.2) 

ManagedKafkaAsyncClient(*, 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]]] = 'grpc_asyncio', client_options: typing.Optional[google.api_core.client_options.ClientOptions] = 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

ManagedKafkaAsyncClient

ManagedKafkaAsyncClient(*, 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]]] = 'grpc_asyncio', client_options: typing.Optional[google.api_core.client_options.ClientOptions] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = <google.api_core.gapic_v1.client_info.ClientInfo object>)

Instantiates the managed kafka async 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 to use. 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 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.

cancel_operation

cancel_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.CancelOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            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_async.AsyncRetry

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_async.AsyncRetry,
            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_async.AsyncOperation

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

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

    # 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 = (await operation).result()

    # Handle the response
    print(response)
Parameters
Name Description
request Optional[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 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_async.AsyncRetry

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_async.AsyncOperation 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_async.AsyncRetry,
            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

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

    # 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 = await client.create_topic(request=request)

    # Handle the response
    print(response)
Parameters
Name Description
request Optional[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 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_async.AsyncRetry

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_async.AsyncRetry,
            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_async.AsyncOperation

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

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

    # 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 = (await operation).result()

    # Handle the response
    print(response)
Parameters
Name Description
request Optional[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_async.AsyncRetry

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_async.AsyncOperation 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_async.AsyncRetry,
            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

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

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

    # Make the request
    await client.delete_consumer_group(request=request)
Parameters
Name Description
request Optional[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_async.AsyncRetry

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_async.AsyncRetry,
            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_async.AsyncRetry

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_async.AsyncRetry,
            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

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

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

    # Make the request
    await client.delete_topic(request=request)
Parameters
Name Description
request Optional[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_async.AsyncRetry

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
ManagedKafkaAsyncClient 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
ManagedKafkaAsyncClient 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
ManagedKafkaAsyncClient 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_async.AsyncRetry,
            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

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

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

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

    # Handle the response
    print(response)
Parameters
Name Description
request Optional[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_async.AsyncRetry

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_async.AsyncRetry,
            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

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

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

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

    # Handle the response
    print(response)
Parameters
Name Description
request Optional[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_async.AsyncRetry

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_async.AsyncRetry,
            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_async.AsyncRetry

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,
)

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_async.AsyncRetry,
            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_async.AsyncRetry

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_async.AsyncRetry,
            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

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

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

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

    # Handle the response
    print(response)
Parameters
Name Description
request Optional[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_async.AsyncRetry

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.

get_transport_class

get_transport_class() -> (
    typing.Type[
        google.cloud.managedkafka_v1.services.managed_kafka.transports.base.ManagedKafkaTransport
    ]
)

Returns an appropriate transport class.

Parameter
Name Description
label typing.Optional[str]

The name of the desired transport. If none is provided, then the first transport in the registry is used.

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_async.AsyncRetry,
            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.ListClustersAsyncPager

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

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

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

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

    # Handle the response
    async for response in page_result:
        print(response)
Parameters
Name Description
request Optional[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_async.AsyncRetry

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.ListClustersAsyncPager 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_async.AsyncRetry,
            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.ListConsumerGroupsAsyncPager
)

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

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

    # 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
    async for response in page_result:
        print(response)
Parameters
Name Description
request Optional[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_async.AsyncRetry

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.ListConsumerGroupsAsyncPager 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_async.AsyncRetry,
            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_async.AsyncRetry

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_async.AsyncRetry,
            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_async.AsyncRetry

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_async.AsyncRetry,
            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.ListTopicsAsyncPager

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

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

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

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

    # Handle the response
    async for response in page_result:
        print(response)
Parameters
Name Description
request Optional[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_async.AsyncRetry

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.ListTopicsAsyncPager 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_async.AsyncRetry,
            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_async.AsyncOperation

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

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

    # 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 = (await operation).result()

    # Handle the response
    print(response)
Parameters
Name Description
request Optional[Union[google.cloud.managedkafka_v1.types.UpdateClusterRequest, dict]]

The request object. Request for UpdateCluster.
cluster 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_async.AsyncRetry

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_async.AsyncOperation 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_async.AsyncRetry,
            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

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

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

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

    # Handle the response
    print(response)
Parameters
Name Description
request Optional[Union[google.cloud.managedkafka_v1.types.UpdateConsumerGroupRequest, dict]]

The request object. Request for UpdateConsumerGroup.
consumer_group 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_async.AsyncRetry

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_async.AsyncRetry,
            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

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

    # 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 = await client.update_topic(request=request)

    # Handle the response
    print(response)
Parameters
Name Description
request Optional[Union[google.cloud.managedkafka_v1.types.UpdateTopicRequest, dict]]

The request object. Request for UpdateTopic.
topic 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_async.AsyncRetry

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.