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https://issues.apache.org/jira/browse/KAFKA-1718?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14179472#comment-14179472
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Jun Rao commented on KAFKA-1718:
--------------------------------
Yes, the broker does recompress all messages in the messageSet passed to
Log.append together into a single compressed message. In the java/scala
producer, it'a always the case that a messageSet for a partition in a produce
request always contains a single compressed message. I guess your go producer
can send multiple compressed messages for a single partition. Is there any
benefit in doing that?
> "Message Size Too Large" error when only small messages produced with Snappy
> ----------------------------------------------------------------------------
>
> Key: KAFKA-1718
> URL: https://issues.apache.org/jira/browse/KAFKA-1718
> Project: Kafka
> Issue Type: Bug
> Components: core
> Affects Versions: 0.8.1.1
> Reporter: Evan Huus
> Priority: Critical
>
> I'm the primary author of the Go bindings, and while I originally received
> this as a bug against my bindings, I'm coming to the conclusion that it's a
> bug in the broker somehow.
> Specifically, take a look at the last two kafka packets in the following
> packet capture: https://dl.dropboxusercontent.com/u/171647/kafka.pcapng (you
> will need a trunk build of Wireshark to fully decode the kafka part of the
> packets).
> The produce request contains two partitions on one topic. Each partition has
> one message set (sizes 977205 bytes and 967362 bytes respectively). Each
> message set is a sequential collection of snappy-compressed messages, each
> message of size 46899. When uncompressed, each message contains a message set
> of 999600 bytes, containing a sequence of uncompressed 1024-byte messages.
> However, the broker responds to this with a MessageSizeTooLarge error, full
> stacktrace from the broker logs being:
> kafka.common.MessageSizeTooLargeException: Message size is 1070127 bytes
> which exceeds the maximum configured message size of 1000012.
> at kafka.log.Log$$anonfun$append$1.apply(Log.scala:267)
> at kafka.log.Log$$anonfun$append$1.apply(Log.scala:265)
> at scala.collection.Iterator$class.foreach(Iterator.scala:727)
> at kafka.utils.IteratorTemplate.foreach(IteratorTemplate.scala:32)
> at kafka.log.Log.append(Log.scala:265)
> at kafka.cluster.Partition.appendMessagesToLeader(Partition.scala:354)
> at
> kafka.server.KafkaApis$$anonfun$appendToLocalLog$2.apply(KafkaApis.scala:376)
> at
> kafka.server.KafkaApis$$anonfun$appendToLocalLog$2.apply(KafkaApis.scala:366)
> 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$1.apply(HashMap.scala:98)
> at
> scala.collection.mutable.HashTable$class.foreachEntry(HashTable.scala:226)
> at scala.collection.mutable.HashMap.foreachEntry(HashMap.scala:39)
> at scala.collection.mutable.HashMap.foreach(HashMap.scala:98)
> at scala.collection.TraversableLike$class.map(TraversableLike.scala:244)
> at scala.collection.AbstractTraversable.map(Traversable.scala:105)
> at kafka.server.KafkaApis.appendToLocalLog(KafkaApis.scala:366)
> at kafka.server.KafkaApis.handleProducerRequest(KafkaApis.scala:292)
> at kafka.server.KafkaApis.handle(KafkaApis.scala:185)
> at kafka.server.KafkaRequestHandler.run(KafkaRequestHandler.scala:42)
> at java.lang.Thread.run(Thread.java:695)
> Since as far as I can tell none of the sizes in the actual produced packet
> exceed the defined maximum, I can only assume that the broker is
> miscalculating something somewhere and throwing the exception improperly.
> ---
> This issue can be reliably reproduced using an out-of-the-box binary download
> of 0.8.1.1 and the following gist:
> https://gist.github.com/eapache/ce0f15311c605a165ce7 (you will need to use
> the `producer-ng` branch of the Sarama library).
> ---
> I am happy to provide any more information you might need, or to do relevant
> experiments etc.
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