Azure Databricks · Schema
WorkspaceObject
AnalyticsApache SparkBig DataData EngineeringMachine-Learning
Properties
| Name | Type | Description |
|---|---|---|
| object_type | string | Type of the workspace object |
| path | string | Absolute path of the object in the workspace |
| language | string | Programming language of the object. Only applicable for notebooks. |
| object_id | integer | Unique identifier for the object |
| created_at | integer | Creation timestamp in epoch milliseconds |
| modified_at | integer | Last modification timestamp in epoch milliseconds |
| resource_id | string | Resource ID for the object |
JSON Schema
{
"$schema": "https://json-schema.org/draft/2020-12/schema",
"$id": "#/components/schemas/WorkspaceObject",
"title": "WorkspaceObject",
"type": "object",
"properties": {
"object_type": {
"type": "string",
"enum": [
"NOTEBOOK",
"DIRECTORY",
"LIBRARY",
"FILE",
"REPO",
"DASHBOARD"
],
"description": "Type of the workspace object",
"example": "NOTEBOOK"
},
"path": {
"type": "string",
"description": "Absolute path of the object in the workspace",
"example": "example_value"
},
"language": {
"type": "string",
"enum": [
"SCALA",
"PYTHON",
"SQL",
"R"
],
"description": "Programming language of the object. Only applicable for notebooks.",
"example": "SCALA"
},
"object_id": {
"type": "integer",
"format": "int64",
"description": "Unique identifier for the object",
"example": "500123"
},
"created_at": {
"type": "integer",
"format": "int64",
"description": "Creation timestamp in epoch milliseconds",
"example": "2026-01-15T10:30:00Z"
},
"modified_at": {
"type": "integer",
"format": "int64",
"description": "Last modification timestamp in epoch milliseconds",
"example": "2026-01-15T10:30:00Z"
},
"resource_id": {
"type": "string",
"description": "Resource ID for the object",
"example": "500123"
}
}
}Work with this as data
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