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Google Cloud Storage Connector Limitations and Troubleshooting

Learn about the known limitations of the Google Cloud Storage (GCS) connector and how to troubleshoot common issues.

Validate Google Cloud Connector Bucket Credentials

A successful creation of Google Cloud Storage (GCS) connector indicates that the credentials supplied are valid. If there's an issue we suggest you to validate the credentials using a Python script.

Install the Boto3 Python library on your machine or in your Python virtual environment.

  1. In this script, enter your HMAC keys (see Prepare Your Google Cloud Storage Connection) and your GCS connector bucket name for SRV_ACC_ACCESS_KEY, SRV_ACC_SECRET_KEY, and SRV_BUCKET_NAME.

    import boto3
import pprint

s3 = boto3.resource('s3')
pp = pprint.PrettyPrinter(indent=2)

SRV_ACC_ACCESS_KEY = "<Add Key Access ID here>"
SRV_ACC_SECRET_KEY = "<Add Key Secret here>"
SRV_BUCKET_NAME = "<Add bucket name here>"

def get_gcs_objects(google_access_key_id, google_access_key_secret, gc_bucket_name):
    """Gets GCS objects using boto3 SDK"""
        client = boto3.client("s3", region_name="auto",
        endpoint_url="https://storage.googleapis.com",
        aws_access_key_id=google_access_key_id,
        aws_secret_access_key=google_access_key_secret)

    # Call GCS to list objects in gc_bucket_name
    response = client.list_objects(Bucket=gc_bucket_name)
    pp.pprint(response)

get_gcs_objects(SRV_ACC_ACCESS_KEY, SRV_ACC_SECRET_KEY, SRV_BUCKET_NAME)

  2. Run the Python script.

Your credentials are valid if the script lists the objects in your GCS bucket and indicates that your HMAC keys are valid.

See Also