update_location_hdfs ¶

def update_location_hdfs(
    self,
    location_arn: "capo_datasync.types.location_arn.LocationArn",
    *,
    config_overrides: Optional[DataSyncClientConfig] = None,
    subdirectory: Optional[
        "capo_datasync.types.hdfs_subdirectory.HdfsSubdirectory"
    ] = None,
    name_nodes: Optional[
        "capo_datasync.types.hdfs_name_node_list.HdfsNameNodeList"
    ] = None,
    block_size: Optional[
        "capo_datasync.types.hdfs_block_size.HdfsBlockSize"
    ] = None,
    replication_factor: Optional[
        "capo_datasync.types.hdfs_replication_factor.HdfsReplicationFactor"
    ] = None,
    kms_key_provider_uri: Optional[
        "capo_datasync.types.kms_key_provider_uri.KmsKeyProviderUri"
    ] = None,
    qop_configuration: Optional[
        "capo_datasync.types.qop_configuration.QopConfiguration"
    ] = None,
    authentication_type: Optional[
        "capo_datasync.types.hdfs_authentication_type.HdfsAuthenticationType"
    ] = None,
    simple_user: Optional["capo_datasync.types.hdfs_user.HdfsUser"] = None,
    kerberos_principal: Optional[
        "capo_datasync.types.kerberos_principal.KerberosPrincipal"
    ] = None,
    kerberos_keytab: Optional[
        "capo_datasync.types.kerberos_keytab_file.KerberosKeytabFile"
    ] = None,
    kerberos_krb5_conf: Optional[
        "capo_datasync.types.kerberos_krb5_conf_file.KerberosKrb5ConfFile"
    ] = None,
    agent_arns: Optional["capo_datasync.types.agent_arn_list.AgentArnList"] = None,
    cmk_secret_config: Optional[
        "capo_datasync.types.cmk_secret_config.CmkSecretConfig"
    ] = None,
    custom_secret_config: Optional[
        "capo_datasync.types.custom_secret_config.CustomSecretConfig"
    ] = None,
) -> "capo_datasync.types.update_location_hdfs_response.UpdateLocationHdfsResponse":
    """<p>Modifies the following configuration parameters of the Hadoop Distributed File System (HDFS) transfer location that you're using with DataSync.</p> <p>For more information, see <a href="https://docs.aws.amazon.com/datasync/latest/userguide/create-hdfs-location.html">Configuring DataSync transfers with an HDFS cluster</a>.</p>

    Args:
        location_arn: <p>The Amazon Resource Name (ARN) of the source HDFS cluster location.</p>
        subdirectory: <p>A subdirectory in the HDFS cluster. This subdirectory is used to read data from or write data to the HDFS cluster.</p>
        name_nodes: <p>The NameNode that manages the HDFS namespace. The NameNode performs operations such as opening, closing, and renaming files and directories. The NameNode contains the information to map blocks of data to the DataNodes.</p> <p>The number of NameNodes you can specify depends on the task mode:</p> <ul> <li> <p> <b>Enhanced mode</b> – You can specify multiple NameNodes for HDFS High Availability (HA) configurations.</p> </li> <li> <p> <b>Basic mode</b> – You can specify only one NameNode.</p> </li> </ul>
        block_size: <p>The size of the data blocks to write into the HDFS cluster. </p>
        replication_factor: <p>The number of DataNodes to replicate the data to when writing to the HDFS cluster. </p>
        kms_key_provider_uri: <p>The URI of the HDFS cluster's Key Management Server (KMS). </p>
        qop_configuration: <p>The Quality of Protection (QOP) configuration specifies the Remote Procedure Call (RPC) and data transfer privacy settings configured on the Hadoop Distributed File System (HDFS) cluster. </p>
        authentication_type: <p>The type of authentication used to determine the identity of the user. </p>
        simple_user: <p>The user name used to identify the client on the host operating system.</p>
        kerberos_principal: <p>The Kerberos principal with access to the files and folders on the HDFS cluster. </p>
        kerberos_keytab: <p>The Kerberos key table (keytab) that contains mappings between the defined Kerberos principal and the encrypted keys. You can load the keytab from a file by providing the file's address.</p>
        kerberos_krb5_conf: <p>The <code>krb5.conf</code> file that contains the Kerberos configuration information. You can load the <code>krb5.conf</code> file by providing the file's address. If you're using the CLI, it performs the base64 encoding for you. Otherwise, provide the base64-encoded text.</p>
        agent_arns: <p>The Amazon Resource Names (ARNs) of the DataSync agents that can connect to your HDFS cluster.</p>
        cmk_secret_config: <p>Specifies configuration information for a DataSync-managed secret, such as a <code>KerberosKeytab</code> or set of credentials that DataSync uses to access a specific transfer location, and a customer-managed KMS key.</p>
        custom_secret_config: <p>Specifies configuration information for a customer-managed secret, such as a <code>KerberosKeytab</code> or set of credentials that DataSync uses to access a specific transfer location, and a customer-managed Identity and Access Management (IAM) role that provides access to the secret.</p>

    Raises:
        capo_datasync.errors.internal_exception.InternalException: <p>This exception is thrown when an error occurs in the DataSync service.</p>
        capo_datasync.errors.invalid_request_exception.InvalidRequestException: <p>This exception is thrown when the client submits a malformed request.</p>
        capo_datasync.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    def _handler(
        req: "OperationRequest[capo_datasync.types.update_location_hdfs_request.UpdateLocationHdfsRequest]",
    ) -> OperationResponse[
        "capo_datasync.types.update_location_hdfs_response.UpdateLocationHdfsResponse"
    ]:
        import capo_datasync._operations.fmrs_service.update_location_hdfs

        output, http_response = (
            capo_datasync._operations.fmrs_service.update_location_hdfs.update_location_hdfs(
                req.options, req.input
            )
        )
        return OperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("UpdateLocationHdfs")
    )
    input_: capo_datasync.types.update_location_hdfs_request.UpdateLocationHdfsRequest = {
        "location_arn": location_arn
    }
    if subdirectory is not None:
        input_["subdirectory"] = subdirectory
    if name_nodes is not None:
        input_["name_nodes"] = name_nodes
    if block_size is not None:
        input_["block_size"] = block_size
    if replication_factor is not None:
        input_["replication_factor"] = replication_factor
    if kms_key_provider_uri is not None:
        input_["kms_key_provider_uri"] = kms_key_provider_uri
    if qop_configuration is not None:
        input_["qop_configuration"] = qop_configuration
    if authentication_type is not None:
        input_["authentication_type"] = authentication_type
    if simple_user is not None:
        input_["simple_user"] = simple_user
    if kerberos_principal is not None:
        input_["kerberos_principal"] = kerberos_principal
    if kerberos_keytab is not None:
        input_["kerberos_keytab"] = kerberos_keytab
    if kerberos_krb5_conf is not None:
        input_["kerberos_krb5_conf"] = kerberos_krb5_conf
    if agent_arns is not None:
        input_["agent_arns"] = agent_arns
    if cmk_secret_config is not None:
        input_["cmk_secret_config"] = cmk_secret_config
    if custom_secret_config is not None:
        input_["custom_secret_config"] = custom_secret_config

    response = execute_pipeline(
        OperationRequest(input=input_, options=options_),
        handler=_handler,
        interceptors=list(interceptors_),
    )
    response.response.close()
    return response.output