I think it is users responsibility to validate the input before feeding. 

https://databricks.gitbooks.io/databricks-spark-knowledge-base/best_practices/dealing_with_bad_data.html



--
View this message in context: 
http://apache-spark-user-list.1001560.n3.nabble.com/Structured-Streaming-How-to-handle-bad-input-tp28420p28428.html
Sent from the Apache Spark User List mailing list archive at Nabble.com.

---------------------------------------------------------------------
To unsubscribe e-mail: user-unsubscr...@spark.apache.org

Reply via email to