Skip to main content

Generating Databricks token



Generating Databricks token


Token-based authentication is enabled by default for all Databricks accounts launched after January 2018. If it is disabled, your administrator must enable it before you can perform the tasks described in this topic. See Enable Token-based Authentication.

Generate a token

This section describes how to generate a personal access token in the Databricks UI. You can also generate and revoke tokens using the Token API.
  1. Click the user profile icon User Profile in the upper right corner of your Databricks workspace.
  2. Click User Settings.
  3. Go to the Access Tokens tab.
    List_Tokens
  4. Click the Generate New Token button.
  5. Optionally enter a description (comment) and expiration period.
    Generate_Token
  6. Click the Generate button.
  7. Copy the generated token and store in a secure location.

Revoke a token

This section describes how to revoke personal access tokens using the Databricks UI. You can also generate and revoke access tokens using the Token API.
  1. Click the user profile icon User Profile in the upper right corner of your Databricks workspace.
  2. Click User Settings.
  3. Go to the Access Tokens tab.
  4. Click x for the token you want to revoke.
  5. On the Revoke Token dialog, click the Revoke Token button.

Use tokens for API authentication

Store token in .netrc file and use in curl

Create a .netrc file with machine, login, and password properties:
Copy to clipboardCopy
machine <databricks-instance>
login token
password <personal-access-token-value>
Replace <databricks-instance> with the <account>.cloud.databricks.com domain name of your Databricks deployment. Replace <personal-access-token-value> with the value of your personal access token.
Important
You can optionally set login to your Databricks username and password to your Databricks password. However, we recommend that you use a personal access token to authenticate to an API endpoint. If you choose to use a username and password, do not use -u to pass your credentials. In other words, do not use curl -u <your-username>:<your-password> -X GET https://<databricks-instance>/api/2.0/token/list.
To invoke the .netrc file, use -n in your curl command:
Copy to clipboardCopy
curl -n -X GET https://<databricks-instance>/api/2.0/token/list

Pass token to Bearer authentication

You can include the token in the header using Bearer authentication. You can use this approach with curl or any client that you build.
Copy to clipboardCopy
curl 'https://<databricks-instance>/api/2.0/token/list' -X GET -H "Authorization: Bearer <personal-access-token-value>"
Labels:

Comments

Post a Comment

Popular posts from this blog

Learn GitHub

Learn GitHub git init git add file.txt git commit -m "my first commit" git remote add origin https://github.com/dansullivanma/devlops_data_sci.git git clone https://github.com/dansullivanma/devlops_data_sci.git
Post a Comment
Read more

Garbage collection in Databricks

Clean up snapshots Delta Lake provides snapshot isolation for reads, which means that it is safe to run  OPTIMIZE  even while other users or jobs are querying the table. Eventually however, you should clean up old snapshots. You can do this by running the  VACUUM  command: VACUUM events You control the age of the latest retained snapshot by using the  RETAIN   <N>   HOURS  option: VACUUM events RETAIN 24 HOURS Test the garbage collection You can specify  DRY   RUN  to test the garbage collection and return a list of files to be deleted: VACUUM events DRY RUN Configure the retention threshold The  VACUUM  command removes any files that are no longer in the latest state of the transaction log for the table and are older than a retention threshold. The default threshold is 7 days, but you can specify an alternate retention interval. For example, to delete all stale files older t...
Post a Comment
Read more

Error The Specified driver class (org.postgres.Driver) is not available!

SQL Workbench error for PostgreSQL connection: The Specified driver class (org.postgres.Driver) is not available! Below is the error which can appears while connecting to a PostgreSQL databases in SQL workbench: This could be due to Postgres driver is not found by the Workbench tool. This could happen if the folder containing the driver is moved or deleted. Solution: To fix this issue,  1. Open Workbench and go to File - > Manage Drivers 2. Select PostgreSQL 3. Under the Library option select the Folder where the driver is located and select the driver and click on Open. you can download the latest Postgres JDBC drivers at:  https://jdbc.postgresql.org/download.html 4. Click on OK to to close the Manage Drivers window. 5. Now try to connect to the PostgreSQL database with correct credentials, it should connect.
Post a Comment
Read more