azure.ai.ml.entities.AzureDataLakeGen1Datastore.yml

### YamlMime:PythonClass
uid: azure.ai.ml.entities.AzureDataLakeGen1Datastore
name: AzureDataLakeGen1Datastore
fullName: azure.ai.ml.entities.AzureDataLakeGen1Datastore
module: azure.ai.ml.entities
inheritances:
- azure.ai.ml.entities._datastore.datastore.Datastore
summary: Azure Data Lake aka Gen 1 datastore that is linked to an Azure ML workspace.
constructor:
  syntax: 'AzureDataLakeGen1Datastore(*, name: str, store_name: str, description:
    str | None = None, tags: Dict | None = None, properties: Dict | None = None, credentials:
    CertificateConfiguration | ServicePrincipalConfiguration | None = None, **kwargs:
    Any)'
  parameters:
  - name: name
    description: Name of the datastore.
    isRequired: true
    types:
    - <xref:str>
  - name: store_name
    description: Name of the Azure storage resource.
    isRequired: true
    types:
    - <xref:str>
  - name: description
    description: Description of the resource.
    isRequired: true
    types:
    - <xref:str>
  - name: tags
    description: Tag dictionary. Tags can be added, removed, and updated.
    isRequired: true
    types:
    - <xref:dict>[<xref:str>, <xref:str>]
  - name: properties
    description: The asset property dictionary.
    isRequired: true
    types:
    - <xref:dict>[<xref:str>, <xref:str>]
  - name: credentials
    description: Credentials to use for Azure ML workspace to connect to the storage.
    isRequired: true
    types:
    - <xref:typing.Union>[<xref:ServicePrincipalSection>, <xref:CertificateSection>]
  - name: kwargs
    description: A dictionary of additional configuration parameters.
    isRequired: true
    types:
    - <xref:dict>
  keywordOnlyParameters:
  - name: name
    isRequired: true
  - name: store_name
    isRequired: true
  - name: description
    isRequired: true
  - name: tags
    isRequired: true
  - name: properties
    isRequired: true
  - name: credentials
    isRequired: true
methods:
- uid: azure.ai.ml.entities.AzureDataLakeGen1Datastore.dump
  name: dump
  summary: Dump the datastore 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 datastore''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.entities.AzureDataLakeGen1Datastore.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.entities.AzureDataLakeGen1Datastore.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.entities.AzureDataLakeGen1Datastore.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.entities.AzureDataLakeGen1Datastore.type
  name: type