The FileStore

The FileStore is a special folder within Databricks File System - DBFS where you can save files and have them accessible to your web browser. You can use the FileStore to:

  • Save files, such as images and libraries, that are accessible within HTML and JavaScript when you call displayHTML.
  • Save output files that you want to download to your local desktop.

When you use certain features, Azure Databricks creates the following directories in the FileStore:

  • /FileStore/jars - stores libraries that you upload. If you delete files in this directory, libraries that reference these files in your Workspace may no longer work.
  • /FileStore/plots - stores images created in notebooks when you call display() on a Python or R plot object, such as a ggplot or matplotlib plot. If you delete files in this directory, you may have to regenerate those plots in the notebooks that reference them. See Matplotlib and ggplot in Python Notebooks for more information.
  • /FileStore/tables - stores the files that you upload via the Create table UI. If you delete files in this directory, tables that you created from these files may no longer be accessible.
  • /FileStore/import-stage - contains temporary files created when you import notebooks or DBC files. These temporary files disappear after the notebook import completes.

Save a file to the FileStore

To save a file to the FileStore, put it in the /FileStore directory in DBFS:

dbutils.fs.put("/FileStore/my-stuff/my-file.txt", "Contents of my file")

Files stored in /FileStore are accessible in your web browser at https://<databricks-instance-name><path-to-file>?o=######. For example, the file you stored in /FileStore/my-stuff/my-file.txt is accessible at https://<databricks-instance-name>/files/my-stuff/my-file.txt?o=###### where the number after o= is the same as in your URL.

Embed static images in notebooks

You can use the files/ location to embed static images into your notebooks:

displayHTML("<img src ='files/image.jpg/'>")

or Markdown image import syntax:


You can upload static images using the DBFS REST API and the popular requests Python HTTP library. In the following example:

  • Replace <databricks-instance> with the <region> domain name of your Azure Databricks deployment.
  • Replace <token> with the value of your personal access token.
  • Replace <image-dir> with the location in FileStore where you want to upload the image files.
import requests
import json
import os
from base64 import b64encode, b64decode,standard_b64encode

TOKEN = b'<token>'
headers = {"Authorization": b"Basic " + standard_b64encode(b"token:" + TOKEN)}
url = "https://<databricks-instance>/api/2.0"
dbfs_dir = "dbfs:/FileStore/<image-dir>/"

def perform_query(path, headers, data={}):
  session = requests.Session()
  resp = session.request('POST', url + path, data=json.dumps(data), verify=True, headers=headers)
  return resp.json()

def mkdirs(path, headers):
  _data = {}
  _data['path'] = path
  return perform_query('/dbfs/mkdirs', headers=headers, data=_data)

def create(path, overwrite, headers):
  _data = {}
  _data['path'] = path
  _data['overwrite'] = overwrite
  return perform_query('/dbfs/create', headers=headers, data=_data)

def add_block(handle, data, headers):
  _data = {}
  _data['handle'] = handle
  _data['data'] = data
  return perform_query('/dbfs/add-block', headers=headers, data=_data)

def close(handle, headers):
  _data = {}
  _data['handle'] = handle
  return perform_query('/dbfs/close', headers=headers, data=_data)

def put_file(src_path, dbfs_path, overwrite, headers):
  handle = create(dbfs_path, overwrite, headers=headers)['handle']
  print("Putting file: " + dbfs_path)
  with open(src_path, 'rb') as local_file:
    while True:
      contents =**20)
      if len(contents) == 0:
      add_block(handle, b64encode(contents).decode(), headers=headers)
    close(handle, headers=headers)

mkdirs(path=dbfs_dir, headers=headers)
files = [f for f in os.listdir('.') if os.path.isfile(f)]
for f in files:
  if ".png" in f:
    target_path = dbfs_dir + f
    resp = put_file(src_path=f, dbfs_path=target_path, overwrite=True, headers=headers)
    if resp == None:

Scale static images

To scale the size of an image that you have saved to DBFS, copy the image to /FileStore and then resize using image parameters in displayHTML:

displayHTML('''<img src="files/images/MyImage-1.png" style="width:600px;height:600px;">''')

Use a Javascript library

This notebook shows how to use FileStore to contain a JavaScript library.