upload_file_to_volume

Transfer local files to Databricks Unity Catalog volumes for efficient processing. Supports large files with progress tracking, error handling, and optional overwrite.

Instructions

Upload a local file to a Databricks Unity Catalog volume.

Args:
    local_file_path: Path to local file (e.g. './data/products.json')
    volume_path: Full volume path (e.g. '/Volumes/catalog/schema/volume/file.json')
    overwrite: Whether to overwrite existing file (default: False)

Returns:
    JSON with upload results including success status, file size in MB, and upload time.
    
Example:
    # Upload large dataset to volume
    result = upload_file_to_volume(
        local_file_path='./stark_export/products_full.json',
        volume_path='/Volumes/kbqa/stark_mas_eval/stark_raw_data/products_full.json',
        overwrite=True
    )
    
Note: Handles large files (multi-GB) with progress tracking and proper error handling.
Perfect for uploading extracted datasets to Unity Catalog volumes for processing.

Input Schema

Name	Required	Description	Default
`local_file_path`	Yes
`overwrite`	No
`volume_path`	Yes

Input Schema (JSON Schema)

{
  "properties": {
    "local_file_path": {
      "title": "Local File Path",
      "type": "string"
    },
    "overwrite": {
      "default": false,
      "title": "Overwrite",
      "type": "boolean"
    },
    "volume_path": {
      "title": "Volume Path",
      "type": "string"
    }
  },
  "required": [
    "local_file_path",
    "volume_path"
  ],
  "title": "upload_file_to_volumeArguments",
  "type": "object"
}

Databricks MCP Server

upload_file_to_volume

Instructions

Input Schema

Input Schema (JSON Schema)

Other Tools from Databricks MCP Server

Related Tools

MCP directory API