I am running the spark job in databricks, so it is running in databricks runtime itself then why is the behaviour different with the notebook and a spark submit job

Hey,
Is your table in Unity Catalog or in Hive Metastore ?
just my guess(es):

- use full table path Catalog_name.Schema_Name.Table_name (maybe you had some context saved when querying data interactively. 

- if your table is in UC - is your Job Cluster running in UC enabled mode (single / shared) ? 

From your post it is bit uncleare where and what you are running. 

The table is in hive_metastore and I am using the full path.

The job compute is created using an instance pool

- when you query table manually and running job - do both those actions happens in same Databricks Workspace
- what is job configuration - who is job Owner or Run As Account -> do this principal/persona has access to the table ?

Yes, Both are in the same workspace and querying same table

Yes the principle has all the access.

Also its working with spark python job, the problem is with spark submit job only.

My usecase is supported only in submit job since I am having multiple scripts in a zip file