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From Samya <>
Subject Spark streaming -> cassandra : Fault Tolerance
Date Wed, 09 Sep 2015 19:09:37 GMT
Hi Team,

I have an sample spark application which reads from Kafka using direct API &
then does some transformation & stores to cassandra (using

If Cassandra goes down, then application logs NoHostAvailable exception (as
expected). But in the mean time the new incoming messages are lost, as the
Direct API creates new checkpoint & deletes the previous one's.

Does that mean, I should handle the exception at application side?

Or is there any other hook to handle the same?

Thanks in advance.


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