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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