Gwen Shapira created KAFKA-2308:
-----------------------------------

             Summary: New producer + Snappy face un-compression errors after 
broker restart
                 Key: KAFKA-2308
                 URL: https://issues.apache.org/jira/browse/KAFKA-2308
             Project: Kafka
          Issue Type: Bug
            Reporter: Gwen Shapira
            Assignee: Gwen Shapira


Looks like the new producer, when used with Snappy, following a broker restart 
is sending messages the brokers can't decompress. This issue was discussed at 
few mailing lists thread, but I don't think we ever resolved it.

I can reproduce with trunk and Snappy 1.1.1.7. 

To reproduce:
1. Start 3 brokers
2. Create a topic with 3 partitions and 3 replicas each.
2. Start performance producer with --new-producer --compression-codec 2 (and 
set the number of messages to fairly high, to give you time. I went with 10M)
3. Bounce one of the brokers
4. The log of one of the surviving nodes should contain errors like:

{code}
2015-07-02 13:45:59,300 ERROR kafka.server.ReplicaManager: [Replica Manager on 
Broker 66]: Error processing append operation on partition [t3,0]
kafka.common.KafkaException:
        at 
kafka.message.ByteBufferMessageSet$$anon$1.makeNext(ByteBufferMessageSet.scala:94)
        at 
kafka.message.ByteBufferMessageSet$$anon$1.makeNext(ByteBufferMessageSet.scala:64)
        at 
kafka.utils.IteratorTemplate.maybeComputeNext(IteratorTemplate.scala:66)
        at kafka.utils.IteratorTemplate.hasNext(IteratorTemplate.scala:58)
        at 
kafka.message.ByteBufferMessageSet$$anon$2.innerDone(ByteBufferMessageSet.scala:177)
        at 
kafka.message.ByteBufferMessageSet$$anon$2.makeNext(ByteBufferMessageSet.scala:218)
        at 
kafka.message.ByteBufferMessageSet$$anon$2.makeNext(ByteBufferMessageSet.scala:173)
        at 
kafka.utils.IteratorTemplate.maybeComputeNext(IteratorTemplate.scala:66)
        at kafka.utils.IteratorTemplate.hasNext(IteratorTemplate.scala:58)
        at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327)
        at scala.collection.Iterator$class.foreach(Iterator.scala:727)
        at scala.collection.AbstractIterator.foreach(Iterator.scala:1157)
        at 
scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:48)
        at 
scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:103)
        at 
scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:47)
        at scala.collection.TraversableOnce$class.to(TraversableOnce.scala:273)
        at scala.collection.AbstractIterator.to(Iterator.scala:1157)
        at 
scala.collection.TraversableOnce$class.toBuffer(TraversableOnce.scala:265)
        at scala.collection.AbstractIterator.toBuffer(Iterator.scala:1157)
        at 
kafka.message.ByteBufferMessageSet.validateMessagesAndAssignOffsets(ByteBufferMessageSet.scala:267)
        at kafka.log.Log.liftedTree1$1(Log.scala:327)
        at kafka.log.Log.append(Log.scala:326)
        at 
kafka.cluster.Partition$$anonfun$appendMessagesToLeader$1.apply(Partition.scala:423)
        at 
kafka.cluster.Partition$$anonfun$appendMessagesToLeader$1.apply(Partition.scala:409)
        at kafka.utils.CoreUtils$.inLock(CoreUtils.scala:262)
        at kafka.utils.CoreUtils$.inReadLock(CoreUtils.scala:268)
        at kafka.cluster.Partition.appendMessagesToLeader(Partition.scala:409)
        at 
kafka.server.ReplicaManager$$anonfun$appendToLocalLog$2.apply(ReplicaManager.scala:365)
        at 
kafka.server.ReplicaManager$$anonfun$appendToLocalLog$2.apply(ReplicaManager.scala:350)
        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.ReplicaManager.appendToLocalLog(ReplicaManager.scala:350)
        at kafka.server.ReplicaManager.appendMessages(ReplicaManager.scala:286)
        at kafka.server.KafkaApis.handleProducerRequest(KafkaApis.scala:270)
        at kafka.server.KafkaApis.handle(KafkaApis.scala:57)
        at kafka.server.KafkaRequestHandler.run(KafkaRequestHandler.scala:60)
        at java.lang.Thread.run(Thread.java:745)
Caused by: java.io.IOException: PARSING_ERROR(2)
        at org.xerial.snappy.SnappyNative.throw_error(SnappyNative.java:84)
        at org.xerial.snappy.SnappyNative.uncompressedLength(Native Method)
        at org.xerial.snappy.Snappy.uncompressedLength(Snappy.java:594)
        at 
org.xerial.snappy.SnappyInputStream.hasNextChunk(SnappyInputStream.java:358)
        at 
org.xerial.snappy.SnappyInputStream.rawRead(SnappyInputStream.java:167)
        at org.xerial.snappy.SnappyInputStream.read(SnappyInputStream.java:150)
        at java.io.DataInputStream.readFully(DataInputStream.java:195)
        at 
kafka.message.ByteBufferMessageSet$$anon$1.makeNext(ByteBufferMessageSet.scala:82)
        ... 43 more
{code}

The client has the following messages:
{code}
[2015-07-02 13:46:00,478] ERROR Error when sending message to topic t3 with 
key: 4 bytes, value: 100 bytes with error: The server experienced an unexpected 
error when processing the request 
(org.apache.kafka.clients.producer.internals.ErrorLoggingCallback)
java: target/snappy-1.1.1/snappy.cc:423: char* 
snappy::internal::CompressFragment(const char*, size_t, char*, snappy::uint16*, 
int): Assertion `0 == memcmp(base, candidate, matched)' failed.
{code}



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