SparkLinkedService Class

Spark Server linked service.

All required parameters must be populated in order to send to Azure.

Inheritance
azure.mgmt.datafactory.models._models_py3.LinkedService
SparkLinkedService

Constructor

SparkLinkedService(*, host: Any, port: Any, authentication_type: Union[str, _models.SparkAuthenticationType], additional_properties: Optional[Dict[str, Any]] = None, connect_via: Optional[_models.IntegrationRuntimeReference] = None, description: Optional[str] = None, parameters: Optional[Dict[str, _models.ParameterSpecification]] = None, annotations: Optional[List[Any]] = None, server_type: Optional[Union[str, _models.SparkServerType]] = None, thrift_transport_protocol: Optional[Union[str, _models.SparkThriftTransportProtocol]] = None, username: Optional[Any] = None, password: Optional[_models.SecretBase] = None, http_path: Optional[Any] = None, enable_ssl: Optional[Any] = None, trusted_cert_path: Optional[Any] = None, use_system_trust_store: Optional[Any] = None, allow_host_name_cn_mismatch: Optional[Any] = None, allow_self_signed_server_cert: Optional[Any] = None, encrypted_credential: Optional[Any] = None, **kwargs)

Variables

additional_properties
dict[str, any]

Unmatched properties from the message are deserialized to this collection.

type
str

Required. Type of linked service.Constant filled by server.

connect_via
IntegrationRuntimeReference

The integration runtime reference.

description
str

Linked service description.

parameters
dict[str, ParameterSpecification]

Parameters for linked service.

annotations
list[any]

List of tags that can be used for describing the linked service.

host
any

Required. IP address or host name of the Spark server.

port
any

Required. The TCP port that the Spark server uses to listen for client connections.

server_type
str or SparkServerType

The type of Spark server. Known values are: "SharkServer", "SharkServer2", "SparkThriftServer".

thrift_transport_protocol
str or SparkThriftTransportProtocol

The transport protocol to use in the Thrift layer. Known values are: "Binary", "SASL", "HTTP ".

authentication_type
str or SparkAuthenticationType

Required. The authentication method used to access the Spark server. Known values are: "Anonymous", "Username", "UsernameAndPassword", "WindowsAzureHDInsightService".

username
any

The user name that you use to access Spark Server.

password
SecretBase

The password corresponding to the user name that you provided in the Username field.

http_path
<xref:http_path>)<xref: >(any

The partial URL corresponding to the Spark server.

enable_ssl
any

Specifies whether the connections to the server are encrypted using SSL. The default value is false.

trusted_cert_path
any

The full path of the .pem file containing trusted CA certificates for verifying the server when connecting over SSL. This property can only be set when using SSL on self-hosted IR. The default value is the cacerts.pem file installed with the IR.

use_system_trust_store
any

Specifies whether to use a CA certificate from the system trust store or from a specified PEM file. The default value is false.

allow_host_name_cn_mismatch
any

Specifies whether to require a CA-issued SSL certificate name to match the host name of the server when connecting over SSL. The default value is false.

allow_self_signed_server_cert
any

Specifies whether to allow self-signed certificates from the server. The default value is false.

encrypted_credential
any

The encrypted credential used for authentication. Credentials are encrypted using the integration runtime credential manager. Type: string (or Expression with resultType string).