MuthuLakshmi
Databricks Employee
Databricks Employee

@bcsalay This could possibly be a cache issue. 
Are you doing dataframe.cache() anywhere in your code? if so please follow that by using unpersist()

Also can you use the below config at cluster level
spark.databricks.io.cache.enabled false