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https://issues.apache.org/jira/browse/KAFKA-1710?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14175548#comment-14175548
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Bhavesh Mistry commented on KAFKA-1710:
---------------------------------------

[~ewencp],

Thank you for entertaining this issue and you may close this.  I do agree with 
you if I increase number of producers then throughput will be alleviated  
(thread contention to critical block) at expense of TCP connections, memory 
etc.  

Do you think it would be good to open another jira issues or story for 
improving performance when sending to single partition for some time to avoid 
Thread contention?  Please let me know if I should open the performance aspect 
of New Producer.

Thanks,
Bhavesh    

> [New Java Producer Potential Deadlock] Producer Deadlock when all messages is 
> being sent to single partition
> ------------------------------------------------------------------------------------------------------------
>
>                 Key: KAFKA-1710
>                 URL: https://issues.apache.org/jira/browse/KAFKA-1710
>             Project: Kafka
>          Issue Type: Bug
>          Components: producer 
>         Environment: Development
>            Reporter: Bhavesh Mistry
>            Assignee: Ewen Cheslack-Postava
>            Priority: Critical
>              Labels: performance
>         Attachments: Screen Shot 2014-10-13 at 10.19.04 AM.png, Screen Shot 
> 2014-10-15 at 9.09.06 PM.png, Screen Shot 2014-10-15 at 9.14.15 PM.png, 
> TestNetworkDownProducer.java, th1.dump, th10.dump, th11.dump, th12.dump, 
> th13.dump, th14.dump, th15.dump, th2.dump, th3.dump, th4.dump, th5.dump, 
> th6.dump, th7.dump, th8.dump, th9.dump
>
>
> Hi Kafka Dev Team,
> When I run the test to send message to single partition for 3 minutes or so 
> on, I have encounter deadlock (please see the screen attached) and thread 
> contention from YourKit profiling.  
> Use Case:
> 1)  Aggregating messages into same partition for metric counting. 
> 2)  Replicate Old Producer behavior for sticking to partition for 3 minutes.
> Here is output:
> Frozen threads found (potential deadlock)
>  
> It seems that the following threads have not changed their stack for more 
> than 10 seconds.
> These threads are possibly (but not necessarily!) in a deadlock or hung.
>  
> pool-1-thread-128 <--- Frozen for at least 2m
> org.apache.kafka.clients.producer.internals.RecordAccumulator.append(TopicPartition,
>  byte[], byte[], CompressionType, Callback) RecordAccumulator.java:139
> org.apache.kafka.clients.producer.KafkaProducer.send(ProducerRecord, 
> Callback) KafkaProducer.java:237
> org.kafka.test.TestNetworkDownProducer$MyProducer.run() 
> TestNetworkDownProducer.java:84
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor$Worker) 
> ThreadPoolExecutor.java:1145
> java.util.concurrent.ThreadPoolExecutor$Worker.run() 
> ThreadPoolExecutor.java:615
> java.lang.Thread.run() Thread.java:744
> pool-1-thread-159 <--- Frozen for at least 2m 1 sec
> org.apache.kafka.clients.producer.internals.RecordAccumulator.append(TopicPartition,
>  byte[], byte[], CompressionType, Callback) RecordAccumulator.java:139
> org.apache.kafka.clients.producer.KafkaProducer.send(ProducerRecord, 
> Callback) KafkaProducer.java:237
> org.kafka.test.TestNetworkDownProducer$MyProducer.run() 
> TestNetworkDownProducer.java:84
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor$Worker) 
> ThreadPoolExecutor.java:1145
> java.util.concurrent.ThreadPoolExecutor$Worker.run() 
> ThreadPoolExecutor.java:615
> java.lang.Thread.run() Thread.java:744
> pool-1-thread-55 <--- Frozen for at least 2m
> org.apache.kafka.clients.producer.internals.RecordAccumulator.append(TopicPartition,
>  byte[], byte[], CompressionType, Callback) RecordAccumulator.java:139
> org.apache.kafka.clients.producer.KafkaProducer.send(ProducerRecord, 
> Callback) KafkaProducer.java:237
> org.kafka.test.TestNetworkDownProducer$MyProducer.run() 
> TestNetworkDownProducer.java:84
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor$Worker) 
> ThreadPoolExecutor.java:1145
> java.util.concurrent.ThreadPoolExecutor$Worker.run() 
> ThreadPoolExecutor.java:615
> java.lang.Thread.run() Thread.java:744
> Thanks,
> Bhavesh 



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