Databricks write to iceberg managed table with pyi...

tdata · ‎01-28-2026

Hello,

Im trying to write to databricks managed icerberg table using pyiceberg inside a spark_python_task (Serverless compute).

Im facing an error when writing :

Error writing to Iceberg table: When reading information for key '' in bucket '' : AWS Error NETWORK_CONNECTION during HeadObject operation: curlCode: 35, SSL connect error; Details: Recv failure: Connection reset by peer.

Im running this code :

catalog_config = {
        "type": "rest",
        "uri": (
            f"https://{workspace_url}/api/2.1/unity-catalog/iceberg-rest"
        ),
        "warehouse": catalog_name,
        "token": databricks_pat,
    }

catalog = load_catalog("catalog_name", **catalog_config)
table = catalog.load_table(table_identifier)
table.append(df)

I want to know if there is a special uri to use because im inside databricks compute, or if its just not possible.
This code run find outside databricks.

Thank you

Databricks write to iceberg managed table with pyiceberg