The database was evicted, AdomdErrorResponseException

hello js15 

Give it a try

import sempy.fabric as fabric

df = fabric.read_table(
dataset="your_dataset_name",
table="your_large_table",
mode="onelake",
onelake_import_method="spark"
)

Fabric’s `read_table` function supports a parameter called `mode` that lets you choose the data retrieval method. By switching the mode from the default `"xmla"` to `"onelake"` and specifying an appropriate import method (such as `"spark"`), you offload the heavy lifting to the Spark runtime rather than the XMLA engine. This approach can be particularly useful for large tables because it is designed to scale with distributed resources

if this helps please give kudos and accept the answer