Hi Guys Is there any documentation on where the /databricks-datasets/ mount is actually served from?We are looking at locking down where our workspace...

[Confused]

Hi Guys

Is there any documentation on where the /databricks-datasets/ mount is actually served from?

We are looking at locking down where our workspace can reach out to via the internet and as it currently stands we are unable to reach this.

I did look at the mounts() command but it didn't give a URL etc and checked the readme in the root and it didn't have any useful info.

Thanks

Mat

[Hubert-Dudek]

It is in dbfs default storage:

/dbfs/databricks-datasets

dbfs:/databricks-datasets

on console it is in Data, not Workspace. To test you can use:

dbutils.fs.ls('/databricks-datasets')

(in dbutils no need to add dbfs folder as it is only for that folder)

When you use Rest API Workspace is for notebooks, libraries etc not for dbfs. To get access to dbfs storage you need to use DBFS API https://docs.microsoft.com/en-us/azure/databricks/dev-tools/api/latest/dbfs

[Confused]

Hi Hubert

Thanks, but I guess I didn't explain the issue well, we were looking to find out what was mounted to that location. We've got it now, it goes off to an S3 container in AWS.

Cheers

Mat

[jose_gonzalez]

Hi @Mathew Walters​ ,

The mount point will be created dynamically according to the cloud provider that you are accessing from. For example, if you are using AWS, then the mount point will grab the data from a S3 location.

If you execute the following command in your notebook "display(dbutils.fs.mounts())" you will be able to find the source and the mountpoint it maps to.

[Confused]

Hi @Jose Gonzalez​ 

That's not correct, for us at least, we are using Azure and the mount goes off to AWS S3. It also doesn't give us the information when we run that command, it was the first thing I tried:

As you can see, it doesn't give us the real location, even though /mnt/training does (and is in Azure).

We tracked it down to S3 using firewall logs in the end.

Cheers

Mat

[Hubert-Dudek]

yes now I remember that on Azure I had it also on S3 and I deleted content. It is some databricks education repo on s3 s3a://databricks-datasets-oregon. You can see it in logs with more details. No idea how to get rid off it:

21/11/18 21:21:33 INFO DatabricksMountsStore: Updated mounts cache. Changes: List(, (+,DbfsMountPoint(s3a://databricks-datasets-oregon/, /databricks-datasets)), (+,DbfsMountPoint(unsupported-access-mechanism-for-path--use-mlflow-client:/, /databricks/mlflow-tracking)), (+,DbfsMountPoint(wasbs://dbstoragexxx.blob.core.windows.net/***, /databricks-results)), (+,DbfsMountPoint(unsupported-access-mechanism-for-path--use-mlflow-client:/, /databricks/mlflow-registry))

[Anonymous]

Hello Mat,

Thanks for letting us know. Would you be happy to mark your answer as best if that will solve the problem for others? That way, members will be able to find the solution more easily. 🙂