I'm also seeing in the midst of the chaos (our app is generating 15GB of
logs), the following event on one of our borkers:

2013-03-22 17:43:39,257 FATAL kafka.server.KafkaApis: [KafkaApi-1] Halting
due to unrecoverable I/O error while handling produce request:
kafka.common.KafkaStorageException: I/O exception in append to log
'v1-english-8-0'
        at kafka.log.Log.append(Log.scala:218)
        at
kafka.server.KafkaApis$$anonfun$appendToLocalLog$2.apply(KafkaApis.scala:249)
        at
kafka.server.KafkaApis$$anonfun$appendToLocalLog$2.apply(KafkaApis.scala:242)
        at
scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:206)
        at
scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:206)
        at
scala.collection.immutable.HashMap$HashMap1.foreach(HashMap.scala:125)
        at
scala.collection.immutable.HashMap$HashTrieMap.foreach(HashMap.scala:344)
        at
scala.collection.immutable.HashMap$HashTrieMap.foreach(HashMap.scala:344)
        at
scala.collection.TraversableLike$class.map(TraversableLike.scala:206)
        at scala.collection.immutable.HashMap.map(HashMap.scala:35)
        at kafka.server.KafkaApis.appendToLocalLog(KafkaApis.scala:242)
        at kafka.server.KafkaApis.handleProducerRequest(KafkaApis.scala:182)
        at kafka.server.KafkaApis.handle(KafkaApis.scala:59)
        at
kafka.server.KafkaRequestHandler.run(KafkaRequestHandler.scala:41)
        at java.lang.Thread.run(Thread.java:662)
Caused by: java.nio.channels.ClosedChannelException
        at sun.nio.ch.FileChannelImpl.ensureOpen(FileChannelImpl.java:88)
        at sun.nio.ch.FileChannelImpl.write(FileChannelImpl.java:184)
        at
kafka.message.ByteBufferMessageSet.writeTo(ByteBufferMessageSet.scala:128)
        at kafka.log.FileMessageSet.append(FileMessageSet.scala:191)
        at kafka.log.LogSegment.append(LogSegment.scala:64)
        at kafka.log.Log.append(Log.scala:210)
        ... 14 more



On Fri, Mar 22, 2013 at 11:00 AM, Bob Jervis <bjer...@gmail.com> wrote:

> I am getting the logs and I am trying to make sense of them.  I see a
> 'Received Request' log entry that appears to be what is coming in from our
> app.  I don't see any 'Completed Request' entries that correspond to those.
>  The only completed entries I see for the logs in question are from the
> replica-fetcher.
>
> It is as if our app is asking the wrong broker and getting no answer, but
> for some reason reporting it as a socket timeout.
>
> Broker 0 is getting and completing TopicMetadata requests in about 600
> milliseconds each.
> Broker 1 is not reporting ANY TopicMetadatRequests in the TRACE logs.
>
> Our app logs don't make any sense when I compare them to the broker logs
> and how can we be getting timeouts in less than 1000 milliseconds?
>
> Our app is reporting this:
>
> 2013-03-22 17:42:23,047 WARN kafka.producer.async.DefaultEventHandler:
> failed to send to broker 1 with data Map([v1-english-5,0] ->
> ByteBufferMessageSet(MessageAndOffset(Message(magic = 0, attributes = 0,
> crc = 2606857931, key = null, payload = java.nio.HeapByteBuffer[pos=0
> lim=1700 cap=1700]),0), MessageAndOffset(Message(magic = 0, attributes = 0,
> crc = 735213417, key = null, payload = java.nio.HeapByteBuffer[pos=0
> lim=1497 cap=1497]),1), MessageAndOffset(Message(magic = 0, attributes = 0,
> crc = 2435755724, key = null, payload = java.nio.HeapByteBuffer[pos=0
> lim=1494 cap=1494]),2), MessageAndOffset(Message(magic = 0, attributes = 0,
> crc = 202370440, key = null, paylo.....
> java.net.SocketTimeoutException
>         at
> sun.nio.ch.SocketAdaptor$SocketInputStream.read(SocketAdaptor.java:201)
>         at sun.nio.ch.ChannelInputStream.read(ChannelInputStream.java:86)
>         at
> java.nio.channels.Channels$ReadableByteChannelImpl.read(Channels.java:221)
>         at kafka.utils.Utils$.read(Utils.scala:372)
>         at
> kafka.network.BoundedByteBufferReceive.readFrom(BoundedByteBufferReceive.scala:54)
>         at
> kafka.network.Receive$class.readCompletely(Transmission.scala:56)
>         at
> kafka.network.BoundedByteBufferReceive.readCompletely(BoundedByteBufferReceive.scala:29)
>         at kafka.network.BlockingChannel.receive(BlockingChannel.scala:100)
>         at kafka.producer.SyncProducer.liftedTree1$1(SyncProducer.scala:73)
>         at
> kafka.producer.SyncProducer.kafka$producer$SyncProducer$$doSend(SyncProducer.scala:71)
>         at
> kafka.producer.SyncProducer$$anonfun$send$1$$anonfun$apply$mcV$sp$1.apply$mcV$sp(SyncProducer.scala:98)
>         at
> kafka.producer.SyncProducer$$anonfun$send$1$$anonfun$apply$mcV$sp$1.apply(SyncProducer.scala:98)
>         at
> kafka.producer.SyncProducer$$anonfun$send$1$$anonfun$apply$mcV$sp$1.apply(SyncProducer.scala:98)
>         at kafka.metrics.KafkaTimer.time(KafkaTimer.scala:33)
>         at
> kafka.producer.SyncProducer$$anonfun$send$1.apply$mcV$sp(SyncProducer.scala:97)
>         at
> kafka.producer.SyncProducer$$anonfun$send$1.apply(SyncProducer.scala:97)
>         at
> kafka.producer.SyncProducer$$anonfun$send$1.apply(SyncProducer.scala:97)
>         at kafka.metrics.KafkaTimer.time(KafkaTimer.scala:33)
>         at kafka.producer.SyncProducer.send(SyncProducer.scala:96)
>         at
> kafka.producer.async.DefaultEventHandler.kafka$producer$async$DefaultEventHandler$$send(DefaultEventHandler.scala:221)
>         at
> kafka.producer.async.DefaultEventHandler$$anonfun$dispatchSerializedData$1.apply(DefaultEventHandler.scala:91)
>         at
> kafka.producer.async.DefaultEventHandler$$anonfun$dispatchSerializedData$1.apply(DefaultEventHandler.scala:85)
>         at
> scala.collection.mutable.HashMap$$anonfun$foreach$1.apply(HashMap.scala:80)
>         at
> scala.collection.mutable.HashMap$$anonfun$foreach$1.apply(HashMap.scala:80)
>         at scala.collection.Iterator$class.foreach(Iterator.scala:631)
>         at
> scala.collection.mutable.HashTable$$anon$1.foreach(HashTable.scala:161)
>         at
> scala.collection.mutable.HashTable$class.foreachEntry(HashTable.scala:194)
>         at scala.collection.mutable.HashMap.foreachEntry(HashMap.scala:39)
>         at scala.collection.mutable.HashMap.foreach(HashMap.scala:80)
>         at
> kafka.producer.async.DefaultEventHandler.dispatchSerializedData(DefaultEventHandler.scala:85)
>         at
> kafka.producer.async.DefaultEventHandler.handle(DefaultEventHandler.scala:61)
>         at kafka.producer.Producer.send(Producer.scala:76)
>         at kafka.javaapi.producer.Producer.send(Producer.scala:41)
>         at
> com.visibletechnologies.platform.common.kafka.KafkaWriter.flush(KafkaWriter.java:131)
>         at
> com.visibletechnologies.platform.common.kafka.KafkaWriter.checkFlush(KafkaWriter.java:97)
>         at
> com.visibletechnologies.platform.katta.krouter.KRouter.checkFlush(KRouter.java:182)
>         at
> com.visibletechnologies.platform.katta.krouter.KRouter.doWork(KRouter.java:139)
>         at
> com.visibletechnologies.framework.servicebase.ServiceBase.start(ServiceBase.java:187)
>         at
> com.visibletechnologies.platform.katta.krouter.Main.main(Main.java:132)
> 2013-03-22 17:42:23,157 INFO kafka.client.ClientUtils$: Fetching metadata
> for topic Set(v1-japanese-0, v1-indonesian-5, v1-french-3, v1-other-4,
> v1-portuguese-1, v1-other-1, v1-german-2, v1-english-15, v1-english-8,
> v1-portuguese-6, v1-arabic-0, v1-english-6, v1-spanish-5, v1-english-10,
> v1-japanese-4, v1-english-1, v1-italian-3, v1-spanish-1, v1-english-5,
> v1-other-7, v1-portuguese-2, v1-other-0, v1-indonesian-4, v1-english-9,
> v1-japanese-1, v1-spanish-2, v1-portuguese-7, v1-german-3, v1-arabic-1,
> v1-japanese-7, v1-korean-0, v1-spanish-4, v1-russian-0, v1-other-3,
> v1-japanese-3, v1-english-0, v1-french-1, v1-indonesian-0, v1-arabic-2,
> v1-english-4, v1-french-0, v1-indonesian-7, v1-english-12, v1-spanish-3,
> v1-japanese-6, v1-indonesian-3, v1-english-13, v1-other-6, v1-portuguese-3,
> v1-italian-1, v1-english-7, v1-german-0, v1-korean-3, v1-spanish-7,
> v1-russian-1, v1-indonesian-1, v1-portuguese-0, v1-indonesian-6,
> v1-french-2, v1-russian-2, v1-english-11, v1-japanese-2, v1-other-2,
> v1-indonesian-2, v1-english-14, v1-portuguese-5, v1-spanish-6, v1-german-1,
> v1-italian-0, v1-english-2, v1-japanese-5, v1-portuguese-4,
> v1-chinese-simplified-3, v1-spanish-0, v1-english-3, v1-arabic-3,
> v1-other-5)
> 2013-03-22 17:42:23,157 INFO kafka.producer.SyncProducer: Connected to
> kafka01.qa.viq:9092 for producing
> 2013-03-22 17:42:23,344 INFO kafka.producer.SyncProducer: Disconnecting
> from kafka01.qa.viq:9092
> 2013-03-22 17:42:23,352 INFO kafka.producer.SyncProducer: Connected to
> 100.100.106.91:9092 for producing
> 2013-03-22 17:42:24,915 INFO kafka.producer.SyncProducer: Disconnecting
> from 100.100.106.91:9092
>
>
>
>
>
>
> On Fri, Mar 22, 2013 at 10:06 AM, Jun Rao <jun...@gmail.com> wrote:
>
>> The metadata request is sent to the broker, which will read from ZK. I
>> suggest that you turn on trace level logging for class
>> kafka.network.RequestChannel$ in all brokers. The log will tell you how
>> long each metadata request takes on the broker. You can then set you socket
>> timeout in the producer accordingly.
>>
>> Thanks,
>>
>> Jun
>>
>>
>> On Fri, Mar 22, 2013 at 9:38 AM, Bob Jervis <bjer...@gmail.com> wrote:
>>
>>> I've tried this and it appears that we are still seeing the issue.  Here
>>> is a stack trace of one of the socket timeout exceptions we are seeing (we
>>> converted to the SimpleConsumer):
>>>
>>> 2013-03-22 04:54:51,807 INFO kafka.client.ClientUtils$: Fetching
>>> metadata for topic Set(v1-japanese-0, v1-indonesian-5, v1-french-3,
>>> v1-other-4, v1-portuguese-1, v1-other-1, v1-german-2, v1-english-15,
>>> v1-english-8, v1-portuguese-6, v1-arabic-0, v1-english-6, v1-korean-1,
>>> v1-spanish-5, v1-english-10, v1-japanese-4, v1-english-1, v1-italian-3,
>>> v1-spanish-1, v1-english-5, v1-other-7, v1-portuguese-2, v1-other-0,
>>> v1-indonesian-4, v1-english-9, v1-japanese-1, v1-spanish-2,
>>> v1-portuguese-7, v1-german-3, v1-arabic-1, v1-japanese-7, v1-spanish-4,
>>> v1-other-3, v1-japanese-3, v1-english-0, v1-french-1, v1-indonesian-0,
>>> v1-arabic-2, v1-english-4, v1-french-0, v1-indonesian-7, v1-english-12,
>>> v1-spanish-3, v1-japanese-6, v1-indonesian-3, v1-english-13, v1-other-6,
>>> v1-portuguese-3, v1-italian-1, v1-english-7, v1-german-0, v1-korean-3,
>>> v1-spanish-7, v1-farsi-2, v1-russian-1, v1-indonesian-1, v1-portuguese-0,
>>> v1-indonesian-6, v1-french-2, v1-english-11, v1-japanese-2, v1-other-2,
>>> v1-indonesian-2, v1-english-14, v1-portuguese-5, v1-spanish-6, v1-german-1,
>>> v1-italian-0, v1-english-2, v1-japanese-5, v1-portuguese-4, v1-spanish-0,
>>> v1-english-3, v1-arabic-3, v1-other-5, v1-korean-2)
>>> 2013-03-22 04:54:51,808 INFO kafka.producer.SyncProducer: Connected to
>>> kafka01.qa.viq:9092 for producing
>>> 2013-03-22 04:54:51,983 INFO kafka.producer.SyncProducer: Disconnecting
>>> from kafka01.qa.viq:9092
>>> 2013-03-22 04:54:51,987 INFO kafka.producer.SyncProducer: Connected to
>>> 100.100.106.91:9092 for producing
>>> 2013-03-22 14:41:42,650 INFO kafka.consumer.SimpleConsumer: Reconnect
>>> due to socket error:
>>> java.net.SocketTimeoutException
>>>         at
>>> sun.nio.ch.SocketAdaptor$SocketInputStream.read(SocketAdaptor.java:201)
>>>         at sun.nio.ch.ChannelInputStream.read(ChannelInputStream.java:86)
>>>         at
>>> java.nio.channels.Channels$ReadableByteChannelImpl.read(Channels.java:221)
>>>         at kafka.utils.Utils$.read(Utils.scala:372)
>>>         at
>>> kafka.network.BoundedByteBufferReceive.readFrom(BoundedByteBufferReceive.scala:54)
>>>         at
>>> kafka.network.Receive$class.readCompletely(Transmission.scala:56)
>>>         at
>>> kafka.network.BoundedByteBufferReceive.readCompletely(BoundedByteBufferReceive.scala:29)
>>>         at
>>> kafka.network.BlockingChannel.receive(BlockingChannel.scala:100)
>>>         at
>>> kafka.consumer.SimpleConsumer.liftedTree1$1(SimpleConsumer.scala:124)
>>>         at
>>> kafka.consumer.SimpleConsumer.kafka$consumer$SimpleConsumer$$sendRequest(SimpleConsumer.scala:122)
>>>         at
>>> kafka.consumer.SimpleConsumer$$anonfun$fetch$1$$anonfun$apply$mcV$sp$1.apply$mcV$sp(SimpleConsumer.scala:161)
>>>         at
>>> kafka.consumer.SimpleConsumer$$anonfun$fetch$1$$anonfun$apply$mcV$sp$1.apply(SimpleConsumer.scala:161)
>>>         at
>>> kafka.consumer.SimpleConsumer$$anonfun$fetch$1$$anonfun$apply$mcV$sp$1.apply(SimpleConsumer.scala:161)
>>>         at kafka.metrics.KafkaTimer.time(KafkaTimer.scala:33)
>>>         at
>>> kafka.consumer.SimpleConsumer$$anonfun$fetch$1.apply$mcV$sp(SimpleConsumer.scala:160)
>>>         at
>>> kafka.consumer.SimpleConsumer$$anonfun$fetch$1.apply(SimpleConsumer.scala:160)
>>>         at
>>> kafka.consumer.SimpleConsumer$$anonfun$fetch$1.apply(SimpleConsumer.scala:160)
>>>         at kafka.metrics.KafkaTimer.time(KafkaTimer.scala:33)
>>>         at kafka.consumer.SimpleConsumer.fetch(SimpleConsumer.scala:159)
>>>         at
>>> kafka.javaapi.consumer.SimpleConsumer.fetch(SimpleConsumer.scala:48)
>>>         at
>>> kafka.javaapi.consumer.SimpleConsumer.fetch(SimpleConsumer.scala:58)
>>>         at
>>> com.visibletechnologies.platform.common.kafka.KafkaReader.initializeIterator(KafkaReader.java:231)
>>>         at
>>> com.visibletechnologies.platform.common.kafka.KafkaReader.read(KafkaReader.java:181)
>>>         at
>>> com.visibletechnologies.platform.katta.krouter.KRouter.doWork(KRouter.java:117)
>>>         at
>>> com.visibletechnologies.framework.servicebase.ServiceBase.start(ServiceBase.java:187)
>>>         at
>>> com.visibletechnologies.platform.katta.krouter.Main.main(Main.java:132)
>>>
>>> I don't see any Zookeeper interactions here.  It looks like fetch
>>> requests to the Kafka broker, but maybe I'm missing something.
>>>
>>>
>>> On Thu, Mar 21, 2013 at 9:16 PM, Jun Rao <jun...@gmail.com> wrote:
>>>
>>>> Bob,
>>>>
>>>> Currently, the metadata request needs to do at least one ZK read per
>>>> partition. So the more topics/partitions you have, the longer the request
>>>> takes. So, you need to increase the request timeout. Try something like 60
>>>> * 1000 ms.
>>>>
>>>> Thanks,
>>>>
>>>> Jun
>>>>
>>>> On Thu, Mar 21, 2013 at 12:46 PM, Bob Jervis <bjer...@gmail.com> wrote:
>>>>
>>>>> We are seeing horrible problems.  We cannot move data through our 0.8
>>>>> borker because we are getting socket timeout exceptions and I cannot
>>>>> figure
>>>>> out what settings should be.  The fetch metadata stuff is throwing
>>>>> these
>>>>> exceptions and no matter how I tweak the timeouts, I still get horrible
>>>>> timeouts and no progress on moving data.
>>>>>
>>>>> On test environments where there are only 12 topics there are no
>>>>> problems.
>>>>>
>>>>> When the number of topics goes to ~75, then we can't move anything
>>>>> because
>>>>> the fetch metadata requests time out.
>>>>>
>>>>> What can we do to fix this?????????
>>>>>
>>>>> I am desperate.
>>>>>
>>>>
>>>>
>>>
>>
>

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