azure.ai.ml.entities.MaterializationSettings.yml

### YamlMime:PythonClass
uid: azure.ai.ml.entities.MaterializationSettings
name: MaterializationSettings
fullName: azure.ai.ml.entities.MaterializationSettings
module: azure.ai.ml.entities
inheritances:
- azure.ai.ml.entities._mixins.RestTranslatableMixin
summary: Defines materialization settings.
constructor:
  syntax: 'MaterializationSettings(*, schedule: RecurrenceTrigger | None = None, offline_enabled:
    bool | None = None, online_enabled: bool | None = None, notification: Notification
    | None = None, resource: MaterializationComputeResource | None = None, spark_configuration:
    Dict[str, str] | None = None, **kwargs: Any)'
  parameters:
  - name: kwargs
    description: A dictionary of additional configuration parameters.
    isRequired: true
    types:
    - <xref:dict>
  keywordOnlyParameters:
  - name: schedule
    description: The schedule details. Defaults to None.
    types:
    - <xref:typing.Optional>[<xref:azure.ai.ml.entities.RecurrenceTrigger>]
  - name: offline_enabled
    description: Boolean that specifies if offline store is enabled. Defaults to None.
    types:
    - <xref:typing.Optional>[<xref:bool>]
  - name: online_enabled
    description: Boolean that specifies if online store is enabled. Defaults to None.
    types:
    - <xref:typing.Optional>[<xref:bool>]
  - name: notification
    description: The notification details. Defaults to None.
    types:
    - <xref:typing.Optional>[<xref:azure.ai.ml.entities.Notification>]
  - name: resource
    description: The compute resource settings. Defaults to None.
    types:
    - <xref:typing.Optional>[<xref:azure.ai.ml.entities.MaterializationComputeResource>]
  - name: spark_configuration
    description: The spark compute settings. Defaults to None.
    types:
    - <xref:typing.Optional>[<xref:dict>[<xref:str>, <xref:str>]]
examples:
- "Configuring MaterializationSettings.<!--[!code-python[Main](les\\ml_samples_spark_configurations.py\
  \ )]-->\n\n<!-- literal_block {\"ids\": [], \"classes\": [], \"names\": [], \"dupnames\"\
  : [], \"backrefs\": [], \"source\": \"C:\\\\hostedtoolcache\\\\windows\\\\Python\\\
  \\3.11.9\\\\x64\\\\Lib\\\\site-packages\\\\py2docfx\\\\dist_temp\\\\8\\\\azure_ai_ml-1.18.0\\\
  \\samples\\\\ml_samples_spark_configurations.py\", \"xml:space\": \"preserve\",\
  \ \"force\": false, \"language\": \"python\", \"highlight_args\": {\"linenostart\"\
  : 1}, \"linenos\": false} -->\n\n````python\n\n   from azure.ai.ml.entities import\
  \ MaterializationComputeResource, MaterializationSettings\n\n   materialization_settings\
  \ = MaterializationSettings(\n       offline_enabled=True,\n       spark_configuration={\n\
  \           \"spark.driver.cores\": 2,\n           \"spark.driver.memory\": \"18g\"\
  ,\n           \"spark.executor.cores\": 4,\n           \"spark.executor.memory\"\
  : \"18g\",\n           \"spark.executor.instances\": 5,\n       },\n       resource=MaterializationComputeResource(instance_type=\"\
  standard_e4s_v3\"),\n   )\n\n   ````\n"