Install and run a Jupyter notebook on a Dataproc cluster

Create a cluster and install the Jupyter component

Create a cluster with the installed Jupyter component.

Note: When creating the cluster, specify the name of the bucket you created in Before you begin, step 2 (only specify the name of the bucket) as the Dataproc staging bucket (see Dataproc staging and temp buckets for instructions on setting the staging bucket). Your notebooks will be stored in Cloud Storage under gs://bucket-name/notebooks/jupyter.

Open the Jupyter and JupyterLab UIs

Click the Google Cloud console Component Gateway links in the Google Cloud console to open the Jupyter notebook or JupyterLab UIs running on your cluster's

The top-level directory displayed by your Jupyter instance is a virtual directory that lets you see the contents of either your Cloud Storage bucket or your local file system. You can choose either location by clicking on the GCS link for Cloud Storage or Local Disk for the local file system of the master node in your cluster.

1. Click the GCS link. The Jupyter notebook web UI displays notebooks stored in your Cloud Storage bucket, including any notebooks you create in this tutorial.