Getting "Microsoft Azure Error: Operation timed out" when trying to retrieve big files

[erickfigueiredo]

Environment

Delta-rs version: 0.16.0

Environment:

• OS: Windows 11
• Python: 3.11.8
• Pyarrow: 13.0.0
• adlfs: 2024.4.1

---

Bug

What happened: I encountered the error OSError: MicrosoftAzure Generic Error: Error in request or response body: Operation timed out when attempting to load data containing millions of rows from a Delta Table (using Azure DataLake Gen 2). This error does not occur when I try to retrieve a smaller amount of data.

What you expected to happen: I expected to load the data from the Delta table and convert it to a Pandas DataFrame without any errors.

How to reproduce it:

from deltalake import DeltaTable

credentials = {
  'account_name': '<account_name>',
  'client_id': '<client_id>',
  'tenant_id': '<tenant_id>',
  'client_secret': '<client_secret>'
}

# Load data from the delta table
dt = DeltaTable("abfs://<container>/<path>", storage_options=credentials)
df = dt.to_pandas()

[ion-elgreco]

You can increase the timeout by doing this: storage_options={"timeout": "100s"}

[erickfigueiredo]

Thank you very much, @ion-elgreco ! It's working now! Is there any documentation on all possible parameters that can be used in the storage_options parameter? It would be very useful in my context!

[ion-elgreco]

@erickfigueiredo you can see most config keys here: https://docs.rs/object_store/latest/object_store/azure/enum.AzureConfigKey.html