This is intended behavior of Storm (which I strongly disagree with).  
"timeouts" are intended to fail any tuples that have been lost due to workers 
going down, network issues, etc… not as a means of controlling flow.

You should set max pending lower, set the timeout higher, and/or have your 
Bolts ignore "old" tuples by adding a timestamp to the original tuple and 
having the "execute" method of Bolts test that the tuple is not too old.

Other threads that address this:
"KafkaSpout stops pulling data after a few hours"
"What is the purpose of timing out tuples?"

Best,
-Sam

From: Nilesh Chhapru 
<[email protected]<mailto:[email protected]>>
Reply-To: "[email protected]<mailto:[email protected]>" 
<[email protected]<mailto:[email protected]>>
Date: Wednesday, November 5, 2014 1:13 PM
To: "[email protected]<mailto:[email protected]>" 
<[email protected]<mailto:[email protected]>>
Subject: Message Flows, Even After Timeout

Hi All,

I have a (Storm Kafka Spout) Kafka spout which emit to a bolts, post some 
computation over the message it is passed back to other Kafka topic using a 
Kafka Producer.

In my application even if the message is gets timeout it still loads the 
message to the producer, which results duplicate entries in the resulting spout.

Is there a way to kill the message if it times out, as for me storm isn’t 
killing the message even when the spout failed method is called.

Kindly let know if I am missing out some configuration here.

Regards,
Nilesh Chhapru.

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