List all files in a GCS Bucket from Vertex Notebook

2 min readMay 24, 2024

Hey guys, in today’s very short blog we will see how we can List all files in a GCS Bucket from Vertex Notebook. So without any further due, let’s do it…

Read the full article here — https://machinelearningprojects.net/list-all-files-in-a-gcs-bucket-from-vertex-notebook/

Steps to List all files in a GCS Bucket from Vertex Notebook

Please open a new Python notebook and paste the following code into it.
Now change the variables like ‘bucket_name’, and ‘prefix’.
And finally, run the code.

Code

# List all files in a GCS Bucket from Vertex Notebook

from google.cloud import storage

bucket_name = "bucket_name"
prefix = "path/to/folder/"

# Initialize the GCS client
storage_client = storage.Client()

# Get a reference to the bucket
bucket = storage_client.get_bucket(bucket_name)

# List files in the bucket with the given prefix
blobs = bucket.list_blobs(prefix=prefix)
    
files = [blob.name for blob in blobs]
print(files)

Conclusion

This way, you can List all files in a GCS Bucket from Vertex Notebook.

Listing all files in a GCS Bucket from a Vertex Notebook is a straightforward process facilitated by the Google Cloud Storage Python client library.

FAQs

What is a GCS Bucket?

A GCS (Google Cloud Storage) Bucket is a basic container that holds your data. It’s a fundamental component of Google Cloud Storage where you can store objects, such as files and multimedia.

What is Vertex Notebook?

Vertex Notebook is a managed service provided by Google Cloud Platform (GCP) for data scientists and machine learning practitioners to build, train, and deploy machine learning models. It provides a collaborative environment with integrated Jupyter notebooks.

How can I list all files in a GCS Bucket from a Vertex Notebook?

You can use the Google Cloud Storage Python client library within your Vertex Notebook to interact with GCS. By utilizing functions such as list_blobs(), you can enumerate all files within a specific GCS Bucket.

Are there any permissions required to access GCS Buckets from Vertex Notebook?

Yes, you need appropriate permissions to access GCS Buckets. Ensure that the service account used by your Vertex Notebook has the necessary permissions (e.g., storage.objects.list permission) granted via IAM (Identity and Access Management) roles.

Can I filter the files listed from a GCS Bucket based on certain criteria?

Yes, you can filter files based on criteria such as prefix, delimiter, or metadata. This can be achieved using parameters in the list_blobs() function, allowing you to narrow down your search results.

Read my last article — Copy a file from GCS Bucket to Vertex Environment

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