Also, the log in another broker (not the bootstrap) says:
[2015-07-14 15:18:41,220] FATAL [Replica Manager on Broker 1]: Error
writing to highwatermark file: (kafka.server.ReplicaManager)
[2015-07-14 15:18:40,160] ERROR Closing socket for /130.127.133.47 because
of error (kafka.network.Process
or)
java.io.IOException: Connection reset by peer
at sun.nio.ch.FileDispatcherImpl.read0(Native Method)
at sun.nio.ch.SocketDispatcher.read(SocketDispatcher.java:39)
at sun.nio.ch.IOUtil.readIntoNativeBuffer(IOUtil.java:223)
at sun.nio.ch.IOUtil.read(IOUtil.java:197)
at sun.nio.ch.SocketChannelImpl.read(SocketChannelImpl.java:379)
at kafka.utils.Utils$.read(Utils.scala:380)
at
kafka.network.BoundedByteBufferReceive.readFrom(BoundedByteBufferReceive.scala:54)
at kafka.network.Processor.read(SocketServer.scala:444)
at kafka.network.Processor.run(SocketServer.scala:340)
at java.lang.Thread.run(Thread.java:745)
........
java.io.IOException: No space left on device
at java.io.FileOutputStream.writeBytes(Native Method)
at java.io.FileOutputStream.write(FileOutputStream.java:345)
at sun.nio.cs.StreamEncoder.writeBytes(StreamEncoder.java:221)
at sun.nio.cs.StreamEncoder.implFlushBuffe
(END)
On Tue, Jul 14, 2015 at 5:24 PM, Yuheng Du <yuheng.du.h...@gmail.com> wrote:
> Hi Jiefu, Gwen,
>
> I am running the Throughput versus stored data test:
> bin/kafka-run-class.sh org.apache.kafka.clients.tools.ProducerPerformance
> test 50000000000 100 -1 acks=1 bootstrap.servers=
> esv4-hcl198.grid.linkedin.com:9092 buffer.memory=67108864 batch.size=8196
>
> After around 50,000,000 messages were sent, I got a bunch of connection
> refused error as I mentioned before. I checked the logs on the broker and
> here is what I see:
>
> [2015-07-14 15:11:23,578] WARN Partition [test,4] on broker 5: No
> checkpointed highwatermark is found for partition [test,4]
> (kafka.cluster.Partition)
>
> [2015-07-14 15:12:33,298] INFO Rolled new log segment for 'test-4' in 4
> ms. (kafka.log.Log)
>
> [2015-07-14 15:12:33,299] INFO Rolled new log segment for 'test-0' in 1
> ms. (kafka.log.Log)
>
> [2015-07-14 15:13:39,529] INFO Rolled new log segment for 'test-4' in 1
> ms. (kafka.log.Log)
>
> [2015-07-14 15:13:39,531] INFO Rolled new log segment for 'test-0' in 1
> ms. (kafka.log.Log)
>
> [2015-07-14 15:14:48,502] INFO Rolled new log segment for 'test-4' in 3
> ms. (kafka.log.Log)
>
> [2015-07-14 15:14:48,502] INFO Rolled new log segment for 'test-0' in 1
> ms. (kafka.log.Log)
>
> [2015-07-14 15:15:51,478] INFO Rolled new log segment for 'test-4' in 1
> ms. (kafka.log.Log)
>
> [2015-07-14 15:15:51,479] INFO Rolled new log segment for 'test-0' in 1
> ms. (kafka.log.Log)
>
> [2015-07-14 15:16:52,589] INFO Rolled new log segment for 'test-4' in 1
> ms. (kafka.log.Log)
>
> [2015-07-14 15:16:52,590] INFO Rolled new log segment for 'test-0' in 1
> ms. (kafka.log.Log)
>
> [2015-07-14 15:17:57,406] INFO Rolled new log segment for 'test-4' in 1
> ms. (kafka.log.Log)
>
> [2015-07-14 15:17:57,407] INFO Rolled new log segment for 'test-0' in 0
> ms. (kafka.log.Log)
>
> [2015-07-14 15:18:39,792] FATAL [KafkaApi-5] Halting due to unrecoverable
> I/O error while handling produce request: (kafka.server.KafkaApis)
>
> kafka.common.KafkaStorageException: I/O exception in append to log 'test-0'
>
> at kafka.log.Log.append(Log.scala:266)
>
> at
> kafka.cluster.Partition$$anonfun$appendMessagesToLeader$1.apply(Partition.scala:379)
>
> at
> kafka.cluster.Partition$$anonfun$appendMessagesToLeader$1.apply(Partition.scala:365)
>
> at kafka.utils.Utils$.inLock(Utils.scala:535)
>
> at kafka.utils.Utils$.inReadLock(Utils.scala:541)
>
> at
> kafka.cluster.Partition.appendMessagesToLeader(Partition.scala:365)
>
> at
> kafka.server.KafkaApis$$anonfun$appendToLocalLog$2.apply(KafkaApis.scala:291)
>
> at
> kafka.server.KafkaApis$$anonfun$appendToLocalLog$2.apply(KafkaApis.scala:282)
>
> at
> scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244)
>
> at
> scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244)
>
> at
> scala.collection.mutable.HashMap$$anonfun$foreach$1.apply(HashMap.scala:98)
>
> at
> scala.collection.mutable.HashMap$$anonfun$foreach$1.apply(HashMap.scala:98)
>
> at scala.coll
>
>
>
> Can you help me with this problem? Thanks.
>
> On Tue, Jul 14, 2015 at 5:12 PM, Yuheng Du <yuheng.du.h...@gmail.com>
> wrote:
>
>> I checked the logs on the brokers, it seems that the zookeeper or the
>> kafka server process is not running on this broker...Thank you guys. I will
>> see if it happens again.
>>
>> On Tue, Jul 14, 2015 at 4:53 PM, JIEFU GONG <jg...@berkeley.edu> wrote:
>>
>>> Hmm..yeah some error logs would be nice like Gwen pointed out. Do any of
>>> your brokers fall out of the ISR when sending messages? It seems like
>>> your
>>> setup should be fine, so I'm not entirely sure.
>>>
>>> On Tue, Jul 14, 2015 at 1:31 PM, Yuheng Du <yuheng.du.h...@gmail.com>
>>> wrote:
>>>
>>> > Jiefu,
>>> >
>>> > I am performing these tests on a 6 nodes cluster in cloudlab (a
>>> > infrastructure built for scientific research). I use 2 nodes as
>>> producers,
>>> > 2 as brokers only, and 2 as consumers. I have tested for each
>>> individual
>>> > machines and they work well. I did not use AWS. Thank you!
>>> >
>>> > On Tue, Jul 14, 2015 at 4:20 PM, JIEFU GONG <jg...@berkeley.edu>
>>> wrote:
>>> >
>>> > > Yuheng, are you performing these tests locally or using a service
>>> such as
>>> > > AWS? I'd try using each separate machine individually first,
>>> connecting
>>> > to
>>> > > the ZK/Kafka servers and ensuring that each is able to first log and
>>> > > consume messages independently.
>>> > >
>>> > > On Tue, Jul 14, 2015 at 1:17 PM, Gwen Shapira <gshap...@cloudera.com
>>> >
>>> > > wrote:
>>> > >
>>> > > > Are there any errors on the broker logs?
>>> > > >
>>> > > > On Tue, Jul 14, 2015 at 11:57 AM, Yuheng Du <
>>> yuheng.du.h...@gmail.com>
>>> > > > wrote:
>>> > > > > Jiefu,
>>> > > > >
>>> > > > > Thank you. The three producers can run at the same time. I mean
>>> > should
>>> > > > they
>>> > > > > be started at exactly the same time? (I have three consoles from
>>> each
>>> > > of
>>> > > > > the three machines and I just start the console command manually
>>> one
>>> > by
>>> > > > > one) Or a small variation of the starting time won't matter?
>>> > > > >
>>> > > > > Gwen and Jiefu,
>>> > > > >
>>> > > > > I have started the three producers at three machines, after a
>>> while,
>>> > > all
>>> > > > of
>>> > > > > them gives a java.net.ConnectException:
>>> > > > >
>>> > > > > [2015-07-14 12:56:46,352] WARN Error in I/O with
>>> producer0-link-0/
>>> > > > > 192.168.1.1 (org.apache.kafka.common.network.Selector)
>>> > > > >
>>> > > > > java.net.ConnectException: Connection refused......
>>> > > > >
>>> > > > > [2015-07-14 12:56:48,056] WARN Error in I/O with
>>> producer1-link-0/
>>> > > > > 192.168.1.2 (org.apache.kafka.common.network.Selector)
>>> > > > >
>>> > > > > java.net.ConnectException: Connection refused.....
>>> > > > >
>>> > > > > What could be the cause?
>>> > > > >
>>> > > > > Thank you guys!
>>> > > > >
>>> > > > >
>>> > > > >
>>> > > > >
>>> > > > > On Tue, Jul 14, 2015 at 2:47 PM, JIEFU GONG <jg...@berkeley.edu>
>>> > > wrote:
>>> > > > >
>>> > > > >> Yuheng,
>>> > > > >>
>>> > > > >> Yes, if you read the blog post it specifies that he's using
>>> three
>>> > > > separate
>>> > > > >> machines. There's no reason the producers cannot be started at
>>> the
>>> > > same
>>> > > > >> time, I believe.
>>> > > > >>
>>> > > > >> On Tue, Jul 14, 2015 at 11:42 AM, Yuheng Du <
>>> > yuheng.du.h...@gmail.com
>>> > > >
>>> > > > >> wrote:
>>> > > > >>
>>> > > > >> > Hi,
>>> > > > >> >
>>> > > > >> > I am running the performance test for kafka.
>>> > > > >> > https://gist.github.com/jkreps
>>> > > > >> > /c7ddb4041ef62a900e6c
>>> > > > >> >
>>> > > > >> > For the "Three Producers, 3x async replication" scenario, the
>>> > > command
>>> > > > is
>>> > > > >> > the same as one producer:
>>> > > > >> >
>>> > > > >> > bin/kafka-run-class.sh
>>> > > > org.apache.kafka.clients.tools.ProducerPerformance
>>> > > > >> > test 50000000 100 -1 acks=1
>>> > > > >> > bootstrap.servers=esv4-hcl198.grid.linkedin.com:9092
>>> > > > >> > buffer.memory=67108864 batch.size=8196
>>> > > > >> >
>>> > > > >> > So How to I run the test for three producers? Do I just run
>>> them
>>> > on
>>> > > > three
>>> > > > >> > separate servers at the same time? Will there be some error in
>>> > this
>>> > > > way
>>> > > > >> > since the three producers can't be started at the same time?
>>> > > > >> >
>>> > > > >> > Thanks.
>>> > > > >> >
>>> > > > >> > best,
>>> > > > >> > Yuheng
>>> > > > >> >
>>> > > > >>
>>> > > > >>
>>> > > > >>
>>> > > > >> --
>>> > > > >>
>>> > > > >> Jiefu Gong
>>> > > > >> University of California, Berkeley | Class of 2017
>>> > > > >> B.A Computer Science | College of Letters and Sciences
>>> > > > >>
>>> > > > >> jg...@berkeley.edu <elise...@berkeley.edu> | (925) 400-3427
>>> > > > >>
>>> > > >
>>> > >
>>> > >
>>> > >
>>> > > --
>>> > >
>>> > > Jiefu Gong
>>> > > University of California, Berkeley | Class of 2017
>>> > > B.A Computer Science | College of Letters and Sciences
>>> > >
>>> > > jg...@berkeley.edu <elise...@berkeley.edu> | (925) 400-3427
>>> > >
>>> >
>>>
>>>
>>>
>>> --
>>>
>>> Jiefu Gong
>>> University of California, Berkeley | Class of 2017
>>> B.A Computer Science | College of Letters and Sciences
>>>
>>> jg...@berkeley.edu <elise...@berkeley.edu> | (925) 400-3427
>>>
>>
>>
>
