A bump to say I found this

  
http://stackoverflow.com/questions/15487540/pig-cassandra-message-length-exceeded

so others are seeing similar behavior.

From what I can see of org.apache.cassandra.hadoop nothing has changed since 
1.1.5 when we didn't see such things but sure looks like there's a bug that's 
slipped in (or been uncovered) somewhere.  I'll try to narrow down to a dataset 
and code that can reproduce.

On Apr 10, 2013, at 6:29 PM, Lanny Ripple <la...@spotright.com> wrote:

> We are using Astyanax in production but I cut back to just Hadoop and 
> Cassandra to confirm it's a Cassandra (or our use of Cassandra) problem.
> 
> We do have some extremely large rows but we went from everything working with 
> 1.1.5 to almost everything carping with 1.2.3.  Something has changed.  
> Perhaps we were doing something wrong earlier that 1.2.3 exposed but 
> surprises are never welcome in production.
> 
> On Apr 10, 2013, at 8:10 AM, <moshe.kr...@barclays.com> wrote:
> 
>> I also saw this when upgrading from C* 1.0 to 1.2.2, and from hector 0.6 to 
>> 0.8
>> Turns out the Thrift message really was too long.
>> The mystery to me: Why no complaints in previous versions? Were some checks 
>> added in Thrift or Hector?
>> 
>> -----Original Message-----
>> From: Lanny Ripple [mailto:la...@spotright.com] 
>> Sent: Tuesday, April 09, 2013 6:17 PM
>> To: user@cassandra.apache.org
>> Subject: Thrift message length exceeded
>> 
>> Hello,
>> 
>> We have recently upgraded to Cass 1.2.3 from Cass 1.1.5.  We ran 
>> sstableupgrades and got the ring on its feet and we are now seeing a new 
>> issue.
>> 
>> When we run MapReduce jobs against practically any table we find the 
>> following errors:
>> 
>> 2013-04-09 09:58:47,746 INFO org.apache.hadoop.util.NativeCodeLoader: Loaded 
>> the native-hadoop library
>> 2013-04-09 09:58:47,899 INFO org.apache.hadoop.metrics.jvm.JvmMetrics: 
>> Initializing JVM Metrics with processName=MAP, sessionId=
>> 2013-04-09 09:58:48,021 INFO org.apache.hadoop.util.ProcessTree: setsid 
>> exited with exit code 0
>> 2013-04-09 09:58:48,024 INFO org.apache.hadoop.mapred.Task:  Using 
>> ResourceCalculatorPlugin : 
>> org.apache.hadoop.util.LinuxResourceCalculatorPlugin@4a48edb5
>> 2013-04-09 09:58:50,475 INFO org.apache.hadoop.mapred.TaskLogsTruncater: 
>> Initializing logs' truncater with mapRetainSize=-1 and reduceRetainSize=-1
>> 2013-04-09 09:58:50,477 WARN org.apache.hadoop.mapred.Child: Error running 
>> child
>> java.lang.RuntimeException: org.apache.thrift.TException: Message length 
>> exceeded: 106
>>      at 
>> org.apache.cassandra.hadoop.ColumnFamilyRecordReader$StaticRowIterator.maybeInit(ColumnFamilyRecordReader.java:384)
>>      at 
>> org.apache.cassandra.hadoop.ColumnFamilyRecordReader$StaticRowIterator.computeNext(ColumnFamilyRecordReader.java:390)
>>      at 
>> org.apache.cassandra.hadoop.ColumnFamilyRecordReader$StaticRowIterator.computeNext(ColumnFamilyRecordReader.java:313)
>>      at 
>> com.google.common.collect.AbstractIterator.tryToComputeNext(AbstractIterator.java:143)
>>      at 
>> com.google.common.collect.AbstractIterator.hasNext(AbstractIterator.java:138)
>>      at 
>> org.apache.cassandra.hadoop.ColumnFamilyRecordReader.getProgress(ColumnFamilyRecordReader.java:103)
>>      at 
>> org.apache.hadoop.mapred.MapTask$NewTrackingRecordReader.getProgress(MapTask.java:444)
>>      at 
>> org.apache.hadoop.mapred.MapTask$NewTrackingRecordReader.nextKeyValue(MapTask.java:460)
>>      at 
>> org.apache.hadoop.mapreduce.MapContext.nextKeyValue(MapContext.java:67)
>>      at org.apache.hadoop.mapreduce.Mapper.run(Mapper.java:143)
>>      at org.apache.hadoop.mapred.MapTask.runNewMapper(MapTask.java:647)
>>      at org.apache.hadoop.mapred.MapTask.run(MapTask.java:323)
>>      at org.apache.hadoop.mapred.Child$4.run(Child.java:266)
>>      at java.security.AccessController.doPrivileged(Native Method)
>>      at javax.security.auth.Subject.doAs(Subject.java:396)
>>      at 
>> org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1278)
>>      at org.apache.hadoop.mapred.Child.main(Child.java:260)
>> Caused by: org.apache.thrift.TException: Message length exceeded: 106
>>      at 
>> org.apache.thrift.protocol.TBinaryProtocol.checkReadLength(TBinaryProtocol.java:393)
>>      at 
>> org.apache.thrift.protocol.TBinaryProtocol.readBinary(TBinaryProtocol.java:363)
>>      at org.apache.cassandra.thrift.Column.read(Column.java:528)
>>      at 
>> org.apache.cassandra.thrift.ColumnOrSuperColumn.read(ColumnOrSuperColumn.java:507)
>>      at org.apache.cassandra.thrift.KeySlice.read(KeySlice.java:408)
>>      at 
>> org.apache.cassandra.thrift.Cassandra$get_range_slices_result.read(Cassandra.java:12905)
>>      at org.apache.thrift.TServiceClient.receiveBase(TServiceClient.java:78)
>>      at 
>> org.apache.cassandra.thrift.Cassandra$Client.recv_get_range_slices(Cassandra.java:734)
>>      at 
>> org.apache.cassandra.thrift.Cassandra$Client.get_range_slices(Cassandra.java:718)
>>      at 
>> org.apache.cassandra.hadoop.ColumnFamilyRecordReader$StaticRowIterator.maybeInit(ColumnFamilyRecordReader.java:346)
>>      ... 16 more
>> 2013-04-09 09:58:50,481 INFO org.apache.hadoop.mapred.Task: Runnning cleanup 
>> for the task
>> 
>> The message length listed on each failed job differs (not always 106).  Jobs 
>> that used to run fine now fail with code compiled against cass 1.2.3 (and 
>> work fine if compiled against 1.1.5 and run against the 1.2.3 servers in 
>> production).  I'm using the following setup to configure the job:
>> 
>> def cassConfig(job: Job) {
>>   val conf = job.getConfiguration()
>> 
>>   ConfigHelper.setInputRpcPort(conf, "" + 9160)
>>   ConfigHelper.setInputInitialAddress(conf, Config.hostip)
>> 
>>   ConfigHelper.setInputPartitioner(conf, 
>> "org.apache.cassandra.dht.RandomPartitioner")
>>   ConfigHelper.setInputColumnFamily(conf, Config.keyspace, Config.cfname)
>> 
>>   val pred = {
>>     val range = new SliceRange()
>>       .setStart("".getBytes("UTF-8"))
>>       .setFinish("".getBytes("UTF-8"))
>>       .setReversed(false)
>>       .setCount(4096 * 1000)
>> 
>>     new SlicePredicate().setSlice_range(range)
>>   }
>> 
>>   ConfigHelper.setInputSlicePredicate(conf, pred)
>> }
>> 
>> The job consists only of a mapper that increments counters for each row and 
>> associated columns so all I'm really doing is exercising 
>> ColumnFamilyRecordReader.
>> 
>> Has anyone else seen this?  Is there a workaround/fix to get our jobs 
>> running?
>> 
>> Thanks
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