DatabricksEngineArtifactLocation¶
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class
oci.golden_gate.models.DatabricksEngineArtifactLocation(**kwargs)¶ Bases:
objectRepresents the location used to share Databricks application artifacts.
Attributes
LOCATION_TYPE_AZURE_DATE_LAKE_STORAGEA constant which can be used with the location_type property of a DatabricksEngineArtifactLocation. LOCATION_TYPE_OCI_OBJECT_STORAGEA constant which can be used with the location_type property of a DatabricksEngineArtifactLocation. LOCATION_TYPE_UC_VOLUMEA constant which can be used with the location_type property of a DatabricksEngineArtifactLocation. location_type[Required] Gets the location_type of this DatabricksEngineArtifactLocation. should_overwrite_existingGets the should_overwrite_existing of this DatabricksEngineArtifactLocation. Methods
__init__(**kwargs)Initializes a new DatabricksEngineArtifactLocation object with values from keyword arguments. get_subtype(object_dictionary)Given the hash representation of a subtype of this class, use the info in the hash to return the class of the subtype. -
LOCATION_TYPE_AZURE_DATE_LAKE_STORAGE= 'AZURE_DATE_LAKE_STORAGE'¶ A constant which can be used with the location_type property of a DatabricksEngineArtifactLocation. This constant has a value of “AZURE_DATE_LAKE_STORAGE”
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LOCATION_TYPE_OCI_OBJECT_STORAGE= 'OCI_OBJECT_STORAGE'¶ A constant which can be used with the location_type property of a DatabricksEngineArtifactLocation. This constant has a value of “OCI_OBJECT_STORAGE”
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LOCATION_TYPE_UC_VOLUME= 'UC_VOLUME'¶ A constant which can be used with the location_type property of a DatabricksEngineArtifactLocation. This constant has a value of “UC_VOLUME”
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__init__(**kwargs)¶ Initializes a new DatabricksEngineArtifactLocation object with values from keyword arguments. This class has the following subclasses and if you are using this class as input to a service operations then you should favor using a subclass over the base class:
OciObjectStorageDatabricksEngineArtifactLocationAzureDataLakeStorageDatabricksEngineArtifactLocationUcVolumeDatabricksEngineArtifactLocation
The following keyword arguments are supported (corresponding to the getters/setters of this class):
Parameters: - location_type (str) – The value to assign to the location_type property of this DatabricksEngineArtifactLocation. Allowed values for this property are: “UC_VOLUME”, “OCI_OBJECT_STORAGE”, “AZURE_DATE_LAKE_STORAGE”, ‘UNKNOWN_ENUM_VALUE’. Any unrecognized values returned by a service will be mapped to ‘UNKNOWN_ENUM_VALUE’.
- should_overwrite_existing (bool) – The value to assign to the should_overwrite_existing property of this DatabricksEngineArtifactLocation.
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static
get_subtype(object_dictionary)¶ Given the hash representation of a subtype of this class, use the info in the hash to return the class of the subtype.
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location_type¶ [Required] Gets the location_type of this DatabricksEngineArtifactLocation. The type of location used to share Databricks application artifacts.
Allowed values for this property are: “UC_VOLUME”, “OCI_OBJECT_STORAGE”, “AZURE_DATE_LAKE_STORAGE”, ‘UNKNOWN_ENUM_VALUE’. Any unrecognized values returned by a service will be mapped to ‘UNKNOWN_ENUM_VALUE’.
Returns: The location_type of this DatabricksEngineArtifactLocation. Return type: str
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should_overwrite_existing¶ Gets the should_overwrite_existing of this DatabricksEngineArtifactLocation. Controls whether a staged application artifact replaces an existing file or object with the same name at the configured destination. The artifact is typically a GGFAB pipeline package or one of its dependency files.
When set to true, the existing file or object is replaced with the newly staged version. When set to false, staging fails or skips the upload rather than replacing it. This setting does not replace the entire target directory or prefix. It allows an updated pipeline or dependency to be deployed when artifact names remain the same across versions.
Returns: The should_overwrite_existing of this DatabricksEngineArtifactLocation. Return type: bool
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