SalesforceSink Class

A copy activity Salesforce sink.

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

Inheritance

azure.mgmt.datafactory.models._models_py3.CopySink

SalesforceSink

Constructor

SalesforceSink(*, additional_properties: Optional[Dict[str, Any]] = None, write_batch_size: Optional[Any] = None, write_batch_timeout: Optional[Any] = None, sink_retry_count: Optional[Any] = None, sink_retry_wait: Optional[Any] = None, max_concurrent_connections: Optional[Any] = None, disable_metrics_collection: Optional[Any] = None, write_behavior: Optional[Union[str, _models.SalesforceSinkWriteBehavior]] = None, external_id_field_name: Optional[Any] = None, ignore_null_values: Optional[Any] = None, **kwargs)

Variables

additional_properties

dict[str, any]

Unmatched properties from the message are deserialized to this collection.

type

str

Required. Copy sink type.Constant filled by server.

write_batch_size

any

Write batch size. Type: integer (or Expression with resultType integer), minimum: 0.

write_batch_timeout

any

Write batch timeout. Type: string (or Expression with resultType string), pattern: ((d+).)?(dd):(60|([0-5][0-9])):(60|([0-5][0-9])).

sink_retry_count

any

Sink retry count. Type: integer (or Expression with resultType integer).

sink_retry_wait

any

Sink retry wait. Type: string (or Expression with resultType string), pattern: ((d+).)?(dd):(60|([0-5][0-9])):(60|([0-5][0-9])).

max_concurrent_connections

any

The maximum concurrent connection count for the sink data store. Type: integer (or Expression with resultType integer).

disable_metrics_collection

any

If true, disable data store metrics collection. Default is false. Type: boolean (or Expression with resultType boolean).

write_behavior

str or SalesforceSinkWriteBehavior

The write behavior for the operation. Default is Insert. Known values are: "Insert", "Upsert".

external_id_field_name

any

The name of the external ID field for upsert operation. Default value is 'Id' column. Type: string (or Expression with resultType string).

ignore_null_values

any

The flag indicating whether or not to ignore null values from input dataset (except key fields) during write operation. Default value is false. If set it to true, it means ADF will leave the data in the destination object unchanged when doing upsert/update operation and insert defined default value when doing insert operation, versus ADF will update the data in the destination object to NULL when doing upsert/update operation and insert NULL value when doing insert operation. Type: boolean (or Expression with resultType boolean).