azure.ai.ml.data_transfer.DataTransferImportComponent.yml

### YamlMime:PythonClass
uid: azure.ai.ml.data_transfer.DataTransferImportComponent
name: DataTransferImportComponent
fullName: azure.ai.ml.data_transfer.DataTransferImportComponent
module: azure.ai.ml.data_transfer
inheritances:
- azure.ai.ml.entities._component.datatransfer_component.DataTransferComponent
summary: '> [!NOTE]

  > This is an experimental class, and may change at any time. Please see [https://aka.ms/azuremlexperimental](https://aka.ms/azuremlexperimental)
  for more information.

  >


  DataTransfer import component version, used to define a data transfer import component.'
constructor:
  syntax: 'DataTransferImportComponent(*, source: Dict | None = None, outputs: Dict
    | None = None, **kwargs: Any)'
  parameters:
  - name: source
    description: The data source of the file system or database.
    isRequired: true
    types:
    - <xref:dict>
  - name: outputs
    description: 'Mapping of output data bindings used in the job.

      Default value is an output port with the key "sink" and the type "mltable".'
    isRequired: true
    types:
    - <xref:dict>
  - name: kwargs
    description: Additional parameters for the data transfer import component.
    isRequired: true
methods:
- uid: azure.ai.ml.data_transfer.DataTransferImportComponent.dump
  name: dump
  summary: Dump the component content into a file in yaml format.
  signature: 'dump(dest: str | PathLike | IO, **kwargs: Any) -> None'
  parameters:
  - name: dest
    description: 'The destination to receive this component''s content.

      Must be either a path to a local file, or an already-open file stream.

      If dest is a file path, a new file will be created,

      and an exception is raised if the file exists.

      If dest is an open file, the file will be written to directly,

      and an exception will be raised if the file is not writable.'
    isRequired: true
    types:
    - <xref:typing.Union>[<xref:PathLike>, <xref:str>, <xref:typing.IO>[<xref:typing.AnyStr>]]
attributes:
- uid: azure.ai.ml.data_transfer.DataTransferImportComponent.base_path
  name: base_path
  summary: The base path of the resource.
  return:
    description: The base path of the resource.
    types:
    - <xref:str>
- uid: azure.ai.ml.data_transfer.DataTransferImportComponent.creation_context
  name: creation_context
  summary: The creation context of the resource.
  return:
    description: The creation metadata for the resource.
    types:
    - <xref:typing.Optional>[<xref:azure.ai.ml.entities.SystemData>]
- uid: azure.ai.ml.data_transfer.DataTransferImportComponent.display_name
  name: display_name
  summary: Display name of the component.
  return:
    description: Display name of the component.
    types:
    - <xref:str>
- uid: azure.ai.ml.data_transfer.DataTransferImportComponent.id
  name: id
  summary: The resource ID.
  return:
    description: The global ID of the resource, an Azure Resource Manager (ARM) ID.
    types:
    - <xref:typing.Optional>[<xref:str>]
- uid: azure.ai.ml.data_transfer.DataTransferImportComponent.inputs
  name: inputs
  summary: Inputs of the component.
  return:
    description: Inputs of the component.
    types:
    - <xref:dict>
- uid: azure.ai.ml.data_transfer.DataTransferImportComponent.is_deterministic
  name: is_deterministic
  summary: Whether the component is deterministic.
  return:
    description: Whether the component is deterministic
    types:
    - <xref:bool>
- uid: azure.ai.ml.data_transfer.DataTransferImportComponent.outputs
  name: outputs
  summary: Outputs of the component.
  return:
    description: Outputs of the component.
    types:
    - <xref:dict>
- uid: azure.ai.ml.data_transfer.DataTransferImportComponent.task
  name: task
  summary: Task type of the component.
  return:
    description: Task type of the component.
    types:
    - <xref:str>
- uid: azure.ai.ml.data_transfer.DataTransferImportComponent.type
  name: type
  summary: Type of the component, default is 'command'.
  return:
    description: Type of the component.
    types:
    - <xref:str>
- uid: azure.ai.ml.data_transfer.DataTransferImportComponent.version
  name: version
  summary: Version of the component.
  return:
    description: Version of the component.
    types:
    - <xref:str>