That was our first thought.  Using maven's dependency tree info we verified
that we're using the expected (cass 1.2.3) jars

$ mvn dependency:tree | grep thrift
[INFO] |  +- org.apache.thrift:libthrift:jar:0.7.0:compile
[INFO] |  \- org.apache.cassandra:cassandra-thrift:jar:1.2.3:compile

I've also dumped the final command run by the hadoop we use (CDH3u5) and
verified it's not sneaking thrift in on us.


On Tue, Apr 16, 2013 at 4:36 PM, aaron morton <aa...@thelastpickle.com>wrote:

> Can you confirm the you are using the same thrift version that ships 1.2.3
> ?
>
> Cheers
>
> -----------------
> Aaron Morton
> Freelance Cassandra Consultant
> New Zealand
>
> @aaronmorton
> http://www.thelastpickle.com
>
> On 16/04/2013, at 10:17 AM, Lanny Ripple <la...@spotright.com> wrote:
>
> 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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