Set Google Storage Bucket's default cache control

Question

Is there any way to set Bucket's default cache control (trying to override the public, max-age=3600 in bucket level every time creating a new object)

Similar to defacl but set the cache control

Answer 1

If someone is still looking for an answer, one needs to set the metadata while adding the blob. For those who want to update the metadata for all existing objects in the bucket, you can use setmeta from gsutil - https://cloud.google.com/storage/docs/gsutil/commands/setmeta

You just need to do the following :

gsutil setmeta -r -h "Cache-control:public, max-age=12345" gs://bucket_name

Answer 2

Using gsutil

• -h: Allows you to specify certain HTTP headers
• -r: Recursive
• -m: To performing a sequence of gsutil operations that may run significantly faster.

gsutil -m setmeta -r -h "Cache-control:public, max-age=259200" gs://bucket-name

Answer 3

It is possible to write a Google Cloud Storage Trigger.

This function sets the Cache-Control metadata field for every new object in a bucket:

from google.cloud import storage

CACHE_CONTROL = "private"

def set_cache_control_private(data, context):
    """Background Cloud Function to be triggered by Cloud Storage.
       This function changes Cache-Control meta data.

    Args:
        data (dict): The Cloud Functions event payload.
        context (google.cloud.functions.Context): Metadata of triggering event.
    Returns:
        None; the output is written to Stackdriver Logging
    """

    print('Setting Cache-Control to {} for: gs://{}/{}'.format(
            CACHE_CONTROL, data['bucket'], data['name']))
    storage_client = storage.Client()
    bucket = storage_client.get_bucket(data['bucket'])
    blob = bucket.get_blob(data['name'])
    blob.cache_control = CACHE_CONTROL
    blob.patch()

You also need a requirements.txt file for the storage import in the same directory. Inside the requirements there is the google-cloud-storage package:

google-cloud-storage==1.10.0

You have to deploy the function to a specific bucket:

gcloud beta functions deploy set_cache_control_private \
    --runtime python37 \
    --trigger-resource gs://<your_bucket_name> \
    --trigger-event google.storage.object.finalize

For debugging purpose you can retrieve logs with gcloud command as well:

gcloud functions logs read --limit 50