[jira] [Commented] (KAFKA-1710) [New Java Producer Potential Deadlock] Producer Deadlock when all messages is being sent to single partition

2014-10-27 Thread Bhavesh Mistry (JIRA)

[ 
https://issues.apache.org/jira/browse/KAFKA-1710?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14186350#comment-14186350
 ] 

Bhavesh Mistry commented on KAFKA-1710:
---

[~jkreps],

I understand the current code base is adding bytes to shared memory and doing 
compression (on application thread).  The older consumer seems to do all this 
in back-ground thread.  So What changed to have this in fore-ground ?  Also, if 
you had to re-engineer this code, How would you  re-engineer to remove 
Synchronization and move everything in background so more runable state is give 
to Application Thread and cost of enqueue will very less.  

I am really interested in solving this problem for my application.  So I just 
wanted to know your suggestions/ideas, how would you solve this ?

Thanks for all your help so far !!  

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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[jira] [Commented] (KAFKA-1710) [New Java Producer Potential Deadlock] Producer Deadlock when all messages is being sent to single partition

2014-10-24 Thread Jay Kreps (JIRA)

[ 
https://issues.apache.org/jira/browse/KAFKA-1710?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14183514#comment-14183514
 ] 

Jay Kreps commented on KAFKA-1710:
--

Ah, gotcha, so that was per ms not per us. Question was this using compression? 
If so, which compression type (gzip, snappy, etc)?

 [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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[jira] [Commented] (KAFKA-1710) [New Java Producer Potential Deadlock] Producer Deadlock when all messages is being sent to single partition

2014-10-24 Thread Jay Kreps (JIRA)

[ 
https://issues.apache.org/jira/browse/KAFKA-1710?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14183545#comment-14183545
 ] 

Jay Kreps commented on KAFKA-1710:
--

The reason I ask is because the per-partition lock is held for the duration of 
the write to the buffer. In the case where compression is enabled that will be 
longer because the compression occurs as part of the write. So in the case 
where you have two partitions you are effectively getting two cpu cores for 
compression and if you have only one you get just one.

 [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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[jira] [Commented] (KAFKA-1710) [New Java Producer Potential Deadlock] Producer Deadlock when all messages is being sent to single partition

2014-10-24 Thread Bhavesh Mistry (JIRA)

[ 
https://issues.apache.org/jira/browse/KAFKA-1710?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14183648#comment-14183648
 ] 

Bhavesh Mistry commented on KAFKA-1710:
---

[~jkreps],

Yes , I did this test with 75 threads and on My mac pro with 8 core with Snappy 
compression ON.  Do you have any idea how we can improve this enqueue for 
single partition ?  May be have x # of CPU active buffer ?

Here is info about the box:

{code}
machdep.cpu.max_basic: 13
machdep.cpu.max_ext: 2147483656
machdep.cpu.vendor: GenuineIntel
machdep.cpu.brand_string: Intel(R) Core(TM) i7-3840QM CPU @ 2.80GHz
machdep.cpu.family: 6
machdep.cpu.model: 58
machdep.cpu.extmodel: 3
machdep.cpu.extfamily: 0
machdep.cpu.stepping: 9
machdep.cpu.feature_bits: 3219913727 2142954495
machdep.cpu.leaf7_feature_bits: 641
machdep.cpu.extfeature_bits: 672139520 1
machdep.cpu.signature: 198313
machdep.cpu.brand: 0
machdep.cpu.features: FPU VME DE PSE TSC MSR PAE MCE CX8 APIC SEP MTRR PGE MCA 
CMOV PAT PSE36 CLFSH DS ACPI MMX FXSR SSE SSE2 SS HTT TM PBE SSE3 PCLMULQDQ 
DTES64 MON DSCPL VMX SMX EST TM2 SSSE3 CX16 TPR PDCM SSE4.1 SSE4.2 x2APIC 
POPCNT AES PCID XSAVE OSXSAVE TSCTMR AVX1.0 RDRAND F16C
machdep.cpu.leaf7_features: SMEP ENFSTRG RDWRFSGS
machdep.cpu.extfeatures: SYSCALL XD EM64T LAHF RDTSCP TSCI
machdep.cpu.logical_per_package: 16
machdep.cpu.cores_per_package: 8
{code}

 [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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[jira] [Commented] (KAFKA-1710) [New Java Producer Potential Deadlock] Producer Deadlock when all messages is being sent to single partition

2014-10-24 Thread Jay Kreps (JIRA)

[ 
https://issues.apache.org/jira/browse/KAFKA-1710?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14183775#comment-14183775
 ] 

Jay Kreps commented on KAFKA-1710:
--

You could try some profiling and see if you see any implementation bottlenecks.

I don't think we can fundamentally reengineer this piece or move the 
compression outside the lock. The reason being that you have multiple threads 
that want to write to a shared byte array. We need to synchronized access to 
ensure safety (otherwise they would overwrite each others data). Furthermore 
since this is batch compression we are compressing into the destination array 
using a compressor used for the prior messages. This batch compression is very 
important to get a good compression ratio as it allows redundancy between 
messages to be exploited. 

 [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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[jira] [Commented] (KAFKA-1710) [New Java Producer Potential Deadlock] Producer Deadlock when all messages is being sent to single partition

2014-10-23 Thread Bhavesh Mistry (JIRA)

[ 
https://issues.apache.org/jira/browse/KAFKA-1710?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14182198#comment-14182198
 ] 

Bhavesh Mistry commented on KAFKA-1710:
---

[~jkreps],

Sorry to bug you again.  Did you get chance to review the above performance 
number and cost of Sync per thread when Partition is not set and partition set 
to single partition ?  

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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[jira] [Commented] (KAFKA-1710) [New Java Producer Potential Deadlock] Producer Deadlock when all messages is being sent to single partition

2014-10-23 Thread Jay Kreps (JIRA)

[ 
https://issues.apache.org/jira/browse/KAFKA-1710?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14182219#comment-14182219
 ] 

Jay Kreps commented on KAFKA-1710:
--

Well so we need to do a very quick lock around the insert into the queue to 
maintain thread safety. With multiple threads competing on a single partition 
this will definitely be slower than if you have multiple partitions. But 
although it is slower it shouldn't be slow.

The data you have gives 2666 bytes/us, isn't that pretty good? That is 
2.6GB/second, no?

 [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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[jira] [Commented] (KAFKA-1710) [New Java Producer Potential Deadlock] Producer Deadlock when all messages is being sent to single partition

2014-10-21 Thread Bhavesh Mistry (JIRA)

[ 
https://issues.apache.org/jira/browse/KAFKA-1710?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14179014#comment-14179014
 ] 

Bhavesh Mistry commented on KAFKA-1710:
---

[~jkreps],

I am sorry I did not get back to you soon.  The cost of enqueue a message into 
single partition only is ~54%. 

Here is test I have done:

To *single* partition:
Throughput per Thread=2666.5  byte(s)/microsecond
All done...!

To *all* partition:
Throughput per Thread=5818.181818181818  byte(s)/microsecond
All done...!


The cost of sync block in roughly around  

{code}
package org.kafka.test;

import java.io.IOException;
import java.io.InputStream;
import java.util.Properties;
import java.util.concurrent.Callable;
import java.util.concurrent.CountDownLatch;
import java.util.concurrent.ExecutorService;
import java.util.concurrent.LinkedBlockingQueue;
import java.util.concurrent.ThreadPoolExecutor;
import java.util.concurrent.TimeUnit;

import org.apache.kafka.clients.producer.Callback;
import org.apache.kafka.clients.producer.KafkaProducer;
import org.apache.kafka.clients.producer.Producer;
import org.apache.kafka.clients.producer.ProducerRecord;
import org.apache.kafka.clients.producer.RecordMetadata;

public class TestNetworkDownProducer {

static int numberTh = 75;
static CountDownLatch latch = new CountDownLatch(numberTh);
public static void main(String[] args) throws IOException, 
InterruptedException {

//Thread.sleep(6);

Properties prop = new Properties();
InputStream propFile = 
Thread.currentThread().getContextClassLoader()

.getResourceAsStream(kafkaproducer.properties);

String topic = logmon.test;
prop.load(propFile);
System.out.println(Property:  + prop.toString());
StringBuilder builder = new StringBuilder(1024);
int msgLenth = 256;
int numberOfLoop = 5000;
for (int i = 0; i  msgLenth; i++)
builder.append(a);

int numberOfProducer = 1;
Producer[] producer = new Producer[numberOfProducer];

for (int i = 0; i  producer.length; i++) {
producer[i] = new KafkaProducer(prop);
}
ExecutorService service =   new ThreadPoolExecutor(numberTh, 
numberTh,
0L, TimeUnit.MILLISECONDS,
new LinkedBlockingQueueRunnable(numberTh *2));
MyProducer [] producerThResult = new MyProducer [numberTh];
for(int i = 0 ; i  numberTh;i++){
producerThResult[i] = new 
MyProducer(producer,numberOfLoop,builder.toString(), topic);
service.execute(producerThResult[i]);
}   
latch.await();
for (int i = 0; i  producer.length; i++) {
producer[i].close();
}   
service.shutdownNow();
System.out.println(All Producers done...!);
// now interpret the result... of this...
long lowestTime = 0 ;
for(int i =0 ; i  producerThResult.length;i++){
if(i == 1){
lowestTime = 
producerThResult[i].totalTimeinNano;
}else if ( producerThResult[i].totalTimeinNano  
lowestTime){
lowestTime = 
producerThResult[i].totalTimeinNano;
}
}
long bytesSend = msgLenth * numberOfLoop;
long durationInMs = TimeUnit.MILLISECONDS.convert(lowestTime, 
TimeUnit.NANOSECONDS);

double throughput = (bytesSend * 1.0) / (durationInMs);
System.out.println(Throughput per Thread= + throughput +   
byte(s)/microsecond);

System.out.println(All done...!);

}



static class MyProducer implements CallableLong , Runnable {

Producer[] producer;
long maxloops;
String msg ;
String topic;
long totalTimeinNano = 0;

MyProducer(Producer[] list, long maxloops,String msg,String 
topic){
this.producer = list;
this.maxloops = maxloops;
this.msg = msg;
this.topic = topic;
}
public void run() {
// ALWAYS SEND DATA TO PARTITION 1 only...  
//ProducerRecord record = new ProducerRecord(topic, 
1,null,msg.toString().getBytes());
ProducerRecord record = new 

[jira] [Commented] (KAFKA-1710) [New Java Producer Potential Deadlock] Producer Deadlock when all messages is being sent to single partition

2014-10-17 Thread Ewen Cheslack-Postava (JIRA)

[ 
https://issues.apache.org/jira/browse/KAFKA-1710?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14175430#comment-14175430
 ] 

Ewen Cheslack-Postava commented on KAFKA-1710:
--

bq. The dead lock will occur something depending on Thread scheduling and how 
log the are blocked. 

Dead lock has a specific definition -- two or more threads that are both 
waiting on each other such that neither can make any forward progress -- and as 
far as I can tell this isn't triggering a deadlock. From what I've seen this is 
simply an issue of trying of anywhere from 50 - 200 threads trying to access a 
shared, synchronized resource. This is just contention, everything continues to 
make progress. The test program runs to completion just fine.

As for performance, I have no doubt there are improvements to be made in the 
Producer implementation, but you'll get a far bigger performance boost with 
careful design in your system. I already mentioned multiple ways you can 
improve performance that, based on your current test code, shouldn't affect 
anything else. Here's a quick example (using a lightly modified version of your 
code against a local test cluster):

{quote}
Existing setup (4 producers, 1 partition):
All Producers done...!
All done...!

real1m50.135s
user1m45.019s
sys 1m53.219s
{quote}

{quote}
8 Producers, 1 partition (and parameters adjusted to generate same # of msgs):
All Producers done...!
All done...!

real0m55.465s
user1m27.132s
sys 1m1.144s
{quote}

Nothing surprising, but since you haven't specified a constraint on the # of 
producers this seems like the simplest solution to improve performance.

 [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
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) 
 

[jira] [Commented] (KAFKA-1710) [New Java Producer Potential Deadlock] Producer Deadlock when all messages is being sent to single partition

2014-10-17 Thread Bhavesh Mistry (JIRA)

[ 
https://issues.apache.org/jira/browse/KAFKA-1710?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14175548#comment-14175548
 ] 

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 



--
This message was sent by Atlassian JIRA
(v6.3.4#6332)


[jira] [Commented] (KAFKA-1710) [New Java Producer Potential Deadlock] Producer Deadlock when all messages is being sent to single partition

2014-10-17 Thread Jay Kreps (JIRA)

[ 
https://issues.apache.org/jira/browse/KAFKA-1710?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14175551#comment-14175551
 ] 

Jay Kreps commented on KAFKA-1710:
--

[~Bmis13] What is the performance you see? What do you hope to see?

 [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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This message was sent by Atlassian JIRA
(v6.3.4#6332)


[jira] [Commented] (KAFKA-1710) [New Java Producer Potential Deadlock] Producer Deadlock when all messages is being sent to single partition

2014-10-17 Thread Bhavesh Mistry (JIRA)

[ 
https://issues.apache.org/jira/browse/KAFKA-1710?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14175574#comment-14175574
 ] 

Bhavesh Mistry commented on KAFKA-1710:
---

[~jkreps],

Only request is to make New Producer truly Async to enqueue the message 
regardless of message key hashcode or partition number for the message.   The 
new Producer is far far better than old Scala producer. ( I have worked both 
with new and old producers/consumer and entire linked-in pipeline)  But new 
producer inherit the same problem that old producer had thread contention when 
queuing message into buffer.   I think Kafka Dev team can do better because 
this use case of aggregating events into single partition is widely used. 
What my plan is to replace the Steam processing framework with Kafka is 
possible (For Aggregation and counting metrics etc)   We currently use 
following steam processor, but it has lots of down fall and only distribute the 
load which Kafka Brokers provide.  Any way this is our use case.

https://github.com/walmartlabs/mupd8
http://vldb.org/pvldb/vol5/p1814_wanglam_vldb2012.pdf 

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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[jira] [Commented] (KAFKA-1710) [New Java Producer Potential Deadlock] Producer Deadlock when all messages is being sent to single partition

2014-10-17 Thread Jay Kreps (JIRA)

[ 
https://issues.apache.org/jira/browse/KAFKA-1710?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14175586#comment-14175586
 ] 

Jay Kreps commented on KAFKA-1710:
--

Well but of course you can't have multiple threads appending to a shared in 
memory data structure without some synchronization. That lock should be very 
very cheap, though. What is meant by asynchronous is not that it doesn't block 
but rather that it doesn't block on the network request (after all due to gc, 
context switches, etc your program always stops). It sounds like you were 
seeing some kind of performance problem. What performance (say msgs/sec) were 
you seeing and what were you hoping for?

 [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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[jira] [Commented] (KAFKA-1710) [New Java Producer Potential Deadlock] Producer Deadlock when all messages is being sent to single partition

2014-10-16 Thread Ewen Cheslack-Postava (JIRA)

[ 
https://issues.apache.org/jira/browse/KAFKA-1710?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14174178#comment-14174178
 ] 

Ewen Cheslack-Postava commented on KAFKA-1710:
--

This looks like a red herring due to the structure of the test. The test code 
generates 200 threads which share 4 producers, and each thread round-robins 
through the consumers, then sleeps for 10ms.

It looks like all that's happening is that the profiling tool sees the same 
stack trace repeatedly because there's a huge amount of contention for the 4 
producers. If you take a look at the stack traces, they're almost all waiting 
on a lock on a queue that the messages get appended to. The few active threads 
have those queues locked and are working on compressing data before sending it 
out. Given the number of threads and the small number of producers, it's not 
surprising that YourKit sees the same stack traces for a long time -- the 
threads can be making forward progress, but any time the profiler stops to look 
at the stack traces, it's very likely that any given thread will be waiting on 
a lock with the same stack trace. None of the stack traces show any evidence of 
a real deadlock (i.e. I can't find any set of locks where there could be 
ordering issues since almost every thread is just waiting on a one lock in one 
of the producers).

If this did hit deadlock, the process should stop entirely because all the 
worker threads use all 4 producers and the supposedly deadlocked threads are 
all waiting on locks in the producer. I ran the test to completion multiple 
times without any issues. Unless this has actually been observed to hit 
deadlock and stop making progress, I think this should be closed since these 
messages are really just warnings from YourKit.

[~Bmis13] you might try reducing the # of threads and seeing if those charts 
end up looking better. I bet if you actually showed all the threads instead of 
just the couple in the screenshot, the areas marked as runnable across all 
threads would sum to a reasonable total. Also, there are other possible issues 
with getting good performance from this test code, e.g. the round robin 
approach can cause all threads to get blocked on the same producer if the 
producer gets locked for a relatively long time. This can happen when data is 
ready to be sent and is getting compressed. Other approaches to distributing 
work across the producers may provide better throughput.


 [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
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
 

[jira] [Commented] (KAFKA-1710) [New Java Producer Potential Deadlock] Producer Deadlock when all messages is being sent to single partition

2014-10-16 Thread Bhavesh Mistry (JIRA)

[ 
https://issues.apache.org/jira/browse/KAFKA-1710?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14174278#comment-14174278
 ] 

Bhavesh Mistry commented on KAFKA-1710:
---

[~ewencp],

Thanks for looking into this.  If you look at the thread dump, you will see the 
blocked threads as well.  As this particular code exposes the Thread 
contentions in the Kafka Producer.  We have this issues when we aggregate use 
case.  It would be great if you into alternative to synchronization block.

{code}
 synchronized (dq) {
..
}
{code}

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
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 



--
This message was sent by Atlassian JIRA
(v6.3.4#6332)


[jira] [Commented] (KAFKA-1710) [New Java Producer Potential Deadlock] Producer Deadlock when all messages is being sent to single partition

2014-10-16 Thread Ewen Cheslack-Postava (JIRA)

[ 
https://issues.apache.org/jira/browse/KAFKA-1710?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14174373#comment-14174373
 ] 

Ewen Cheslack-Postava commented on KAFKA-1710:
--

[~Bmis13] That approach just pushes the problem into KafkaAsyncProducer's 
thread that processes messages -- there won't be lock contention in 
KafkaProducer since KafkaAsyncProducer will be the only user of it, but you may 
not get an improvement in throughput because ultimately you're limited to the 
time a single thread can get. It may even get *slower* because you'll have more 
runnable threads at any given time, which means that the KafkaAsyncProducer 
worker thread will get less CPU time. Even disregarding that, since you used a 
LinkedBlockingQueue that will become your new source of contention (since it 
must be synchronized internally). If you have a very large capacity, that'll 
let the threads continue to make progress and contention will be lower since 
the time spent adding an item is very small, but it will cost a lot of memory 
since you're just adding a layer of buffering. That might be useful if you have 
bursty traffic (the buffer allows you to temporarily buffer more data while the 
KafkaProducer works on getting it sent), but if you have sustained traffic 
you'll just have constantly growing memory usage. If the capacity is small, 
then the threads producing messages will eventually end up getting blocked 
waiting for there to be space in the queue.

Probably the biggest issue here is that this test only writes to a single 
partition in a single topic. You could improve performance by using more 
partitions in that topic. You're already writing to all producers from all 
threads, so you must not need the ordering guarantees of a single partition. If 
you still want a single partition, you can improve performance by using more 
Producers, which will spread the contention across more queues. Since you 
already have 4 that you're running round-robin on, I'd guess adding more 
shouldn't be a problem.

In any case, this use case seems a bit odd. Are you really going to have 200 
threads generating messages *as fast as they can* with only 4 producers?

As far as this issue is concerned, the original report said the problem was 
deadlock but that doesn't seem to be the case. If you're just worried about 
performance, it probably makes more sense to move the discussion over to the 
mailing list. It'll probably be seen by more people and there will probably be 
multiple suggestions for improvements to your approach before we have to make 
changes to the Kafka code.

 [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
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, 

[jira] [Commented] (KAFKA-1710) [New Java Producer Potential Deadlock] Producer Deadlock when all messages is being sent to single partition

2014-10-16 Thread Bhavesh Mistry (JIRA)

[ 
https://issues.apache.org/jira/browse/KAFKA-1710?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14174403#comment-14174403
 ] 

Bhavesh Mistry commented on KAFKA-1710:
---

[~ewencp],

Thanks for the looking into this issue.  We consume as fast as we can 
re-publish the message to another aggregated topic based on some kes in 
message. We  see thread contentions in profile tool and I separated out the 
code and to amplify the problem.  We run with about 75 threads.  [~ewencp] can 
you please discuss this issue with Kafka Community as well ?  The dead lock 
will occur something depending on Thread scheduling  and how log the are 
blocked.  All I am asking is there a better way to enqueue in coming messages.  
I just proposed simple above solution that does not impact application threads 
and only drain threads will be blocked and with buffer as you mentioned we 
might get better through-put (of course at expense of buffered memory 
(unbounded concurrent queue)  and thread context switching) .If you feel 
this is know performance issue to send to to single partition then please close 
this, and you may start discussion on Kafka Community for this issue.  Thanks 
for your help and suggestions  !! 

According to thread dumps, blocks are happening  in Synchronization block.  
{code}
pool-1-thread-200 prio=5 tid=0x7f92451c2000 nid=0x20103 waiting for 
monitor entry [0x00012d228000]
   java.lang.Thread.State: BLOCKED (on object monitor)
at 
org.apache.kafka.clients.producer.internals.RecordAccumulator.append(RecordAccumulator.java:139)
- waiting to lock 0x000703ce39f0 (a java.util.ArrayDeque)
at 
org.apache.kafka.clients.producer.KafkaProducer.send(KafkaProducer.java:238)
at 
org.kafka.test.TestNetworkDownProducer$MyProducer.run(TestNetworkDownProducer.java:85)
at 
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
at 
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
at java.lang.Thread.run(Thread.java:744)

pool-1-thread-199 prio=5 tid=0x7f92451c1800 nid=0x1ff03 waiting for 
monitor entry [0x00012d0e5000]
   java.lang.Thread.State: BLOCKED (on object monitor)
at 
org.apache.kafka.clients.producer.internals.RecordAccumulator.append(RecordAccumulator.java:139)
- waiting to lock 0x000703ce39f0 (a java.util.ArrayDeque)
at 
org.apache.kafka.clients.producer.KafkaProducer.send(KafkaProducer.java:238)
at 
org.kafka.test.TestNetworkDownProducer$MyProducer.run(TestNetworkDownProducer.java:85)
at 
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
at 
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
at java.lang.Thread.run(Thread.java:744)
{code}

 [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
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() 
 

[jira] [Commented] (KAFKA-1710) [New Java Producer Potential Deadlock] Producer Deadlock when all messages is being sent to single partition

2014-10-15 Thread Bhavesh Mistry (JIRA)

[ 
https://issues.apache.org/jira/browse/KAFKA-1710?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14173330#comment-14173330
 ] 

Bhavesh Mistry commented on KAFKA-1710:
---

Here is out put of Yourkit:

{code}
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.
 
kafka-producer-network-thread --- Frozen for at least 14 sec
org.apache.kafka.clients.producer.internals.RecordAccumulator.ready(Cluster, 
long) RecordAccumulator.java:214
org.apache.kafka.clients.producer.internals.Sender.run(long) Sender.java:147
org.apache.kafka.clients.producer.internals.Sender.run() Sender.java:115
java.lang.Thread.run() Thread.java:744



pool-1-thread-106 --- Frozen for at least 20 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:238
org.kafka.test.TestNetworkDownProducer$MyProducer.run() 
TestNetworkDownProducer.java:85
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor$Worker) 
ThreadPoolExecutor.java:1145
java.util.concurrent.ThreadPoolExecutor$Worker.run() ThreadPoolExecutor.java:615
java.lang.Thread.run() Thread.java:744



pool-1-thread-15 --- Frozen for at least 13 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:238
org.kafka.test.TestNetworkDownProducer$MyProducer.run() 
TestNetworkDownProducer.java:85
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor$Worker) 
ThreadPoolExecutor.java:1145
java.util.concurrent.ThreadPoolExecutor$Worker.run() ThreadPoolExecutor.java:615
java.lang.Thread.run() Thread.java:744



pool-1-thread-161 --- Frozen for at least 13 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:238
org.kafka.test.TestNetworkDownProducer$MyProducer.run() 
TestNetworkDownProducer.java:85
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor$Worker) 
ThreadPoolExecutor.java:1145
java.util.concurrent.ThreadPoolExecutor$Worker.run() ThreadPoolExecutor.java:615
java.lang.Thread.run() Thread.java:744



pool-1-thread-165 --- Frozen for at least 17 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:238
org.kafka.test.TestNetworkDownProducer$MyProducer.run() 
TestNetworkDownProducer.java:85
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor$Worker) 
ThreadPoolExecutor.java:1145
java.util.concurrent.ThreadPoolExecutor$Worker.run() ThreadPoolExecutor.java:615
java.lang.Thread.run() Thread.java:744



pool-1-thread-172 --- Frozen for at least 20 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:238
org.kafka.test.TestNetworkDownProducer$MyProducer.run() 
TestNetworkDownProducer.java:85
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor$Worker) 
ThreadPoolExecutor.java:1145
java.util.concurrent.ThreadPoolExecutor$Worker.run() ThreadPoolExecutor.java:615
java.lang.Thread.run() Thread.java:744



pool-1-thread-184 --- Frozen for at least 11 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:238
org.kafka.test.TestNetworkDownProducer$MyProducer.run() 
TestNetworkDownProducer.java:85
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor$Worker) 
ThreadPoolExecutor.java:1145
java.util.concurrent.ThreadPoolExecutor$Worker.run() ThreadPoolExecutor.java:615
java.lang.Thread.run() Thread.java:744



pool-1-thread-26 --- Frozen for at least 11 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:238
org.kafka.test.TestNetworkDownProducer$MyProducer.run() 

[jira] [Commented] (KAFKA-1710) [New Java Producer Potential Deadlock] Producer Deadlock when all messages is being sent to single partition

2014-10-15 Thread Bhavesh Mistry (JIRA)

[ 
https://issues.apache.org/jira/browse/KAFKA-1710?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14173332#comment-14173332
 ] 

Bhavesh Mistry commented on KAFKA-1710:
---

MORE OutPut:

{code}
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-108 --- Frozen for at least 12 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:238
org.kafka.test.TestNetworkDownProducer$MyProducer.run() 
TestNetworkDownProducer.java:85
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor$Worker) 
ThreadPoolExecutor.java:1145
java.util.concurrent.ThreadPoolExecutor$Worker.run() ThreadPoolExecutor.java:615
java.lang.Thread.run() Thread.java:744



pool-1-thread-113 --- Frozen for at least 13 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:238
org.kafka.test.TestNetworkDownProducer$MyProducer.run() 
TestNetworkDownProducer.java:85
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor$Worker) 
ThreadPoolExecutor.java:1145
java.util.concurrent.ThreadPoolExecutor$Worker.run() ThreadPoolExecutor.java:615
java.lang.Thread.run() Thread.java:744



pool-1-thread-118 --- Frozen for at least 16 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:238
org.kafka.test.TestNetworkDownProducer$MyProducer.run() 
TestNetworkDownProducer.java:85
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor$Worker) 
ThreadPoolExecutor.java:1145
java.util.concurrent.ThreadPoolExecutor$Worker.run() ThreadPoolExecutor.java:615
java.lang.Thread.run() Thread.java:744



pool-1-thread-138 --- Frozen for at least 12 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:238
org.kafka.test.TestNetworkDownProducer$MyProducer.run() 
TestNetworkDownProducer.java:85
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor$Worker) 
ThreadPoolExecutor.java:1145
java.util.concurrent.ThreadPoolExecutor$Worker.run() ThreadPoolExecutor.java:615
java.lang.Thread.run() Thread.java:744



pool-1-thread-151 --- Frozen for at least 22 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:238
org.kafka.test.TestNetworkDownProducer$MyProducer.run() 
TestNetworkDownProducer.java:85
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor$Worker) 
ThreadPoolExecutor.java:1145
java.util.concurrent.ThreadPoolExecutor$Worker.run() ThreadPoolExecutor.java:615
java.lang.Thread.run() Thread.java:744



pool-1-thread-155 --- Frozen for at least 13 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:238
org.kafka.test.TestNetworkDownProducer$MyProducer.run() 
TestNetworkDownProducer.java:85
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor$Worker) 
ThreadPoolExecutor.java:1145
java.util.concurrent.ThreadPoolExecutor$Worker.run() ThreadPoolExecutor.java:615
java.lang.Thread.run() Thread.java:744



pool-1-thread-160 --- Frozen for at least 13 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:238
org.kafka.test.TestNetworkDownProducer$MyProducer.run() 
TestNetworkDownProducer.java:85
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor$Worker) 
ThreadPoolExecutor.java:1145
java.util.concurrent.ThreadPoolExecutor$Worker.run() ThreadPoolExecutor.java:615
java.lang.Thread.run() Thread.java:744



pool-1-thread-163 --- Frozen for at least 12 sec

[jira] [Commented] (KAFKA-1710) [New Java Producer Potential Deadlock] Producer Deadlock when all messages is being sent to single partition

2014-10-15 Thread Bhavesh Mistry (JIRA)

[ 
https://issues.apache.org/jira/browse/KAFKA-1710?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14173344#comment-14173344
 ] 

Bhavesh Mistry commented on KAFKA-1710:
---

I am not able to attached yourkit profiler snapshot.  I get following error:

TestNetworkDownProducer-2014-10-15-2.snapshot is too large to attach. 
Attachment is 28.19 MB but the largest allowed attachment is 10.00 MB.

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: Jun Rao
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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[jira] [Commented] (KAFKA-1710) [New Java Producer Potential Deadlock] Producer Deadlock when all messages is being sent to single partition

2014-10-15 Thread Bhavesh Mistry (JIRA)

[ 
https://issues.apache.org/jira/browse/KAFKA-1710?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14173368#comment-14173368
 ] 

Bhavesh Mistry commented on KAFKA-1710:
---

Here is property file used for testing:

{code}
# THIS IS FOR NEW PRODUCERS API TRUNK Please see the configuration at 
https://kafka.apache.org/documentation.html#newproducerconfigs
# Broker List
bootstrap.servers=dare-msgq00.sv.walmartlabs.com:9092,dare-msgq01.sv.walmartlabs.com:9092,dare-msgq02.sv.walmartlabs.com:9092
#Data Acks
acks=0
# 64MB of Buffer for log lines (including all messages).
buffer.memory=134217728
compression.type=snappy
retries=3
# DEFAULT FROM THE KAFKA...
# batch size =  ((buffer.memory) / (number of partitions)) (so we can have in 
progress batch size created for each partition.).
batch.size=1048576
#2MiB
max.request.size=1048576
send.buffer.bytes=2097152
# We do not want to block the buffer Full so application thread will not be 
blocked but logs lines will be dropped...
block.on.buffer.full=false
#2MiB
send.buffer.bytes=2097152

#wait...
linger.ms=360
{code}

 [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: Jun Rao
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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