Good catch since that bug also would have shut us down.

The original problem is that previous to Cass 1.1.10 it looks like 
cassandra.yaml values

  * thrift_framed_transport_size_in_mb
  * thrift_max_message_length_in_mb

were ignored (in favor of effectively no limits).  We went from 1.1.5 to 1.2.3 
and these were suddenly turned on for us (and way too low for our data).

Also have confirmed your supplied patch2 works for us.

  -ljr

On Apr 22, 2013, at 6:57 AM, Oleksandr Petrov <[email protected]> 
wrote:

> I've submitted a patch that fixes the issue for 1.2.3: 
> https://issues.apache.org/jira/browse/CASSANDRA-5504
> 
> Maybe guys know a better way to fix it, but that helped me in a meanwhile.
> 
> 
> On Mon, Apr 22, 2013 at 1:44 AM, Oleksandr Petrov 
> <[email protected]> wrote:
> If you're using Cassandra 1.2.3, and new Hadoop interface, that would make a 
> call to next(), you'll have an eternal loop reading same things all over 
> again from your cassandra nodes (you may see it if you enable Debug output).
> 
> next() is clearing key() which is required for Wide Row iteration.
> 
> Setting key back fixed issue for me.
> 
> 
> On Sat, Apr 20, 2013 at 3:05 PM, Oleksandr Petrov 
> <[email protected]> wrote:
> Tried to isolate the issue in testing environment,
> 
> What I currently have:
> 
> That's a setup for test:
> CREATE KEYSPACE cascading_cassandra WITH replication = {'class' : 
> 'SimpleStrategy', 'replication_factor' : 1};
> USE cascading_cassandra;
> CREATE TABLE libraries (emitted_at timestamp, additional_info varchar, 
> environment varchar, application varchar, type varchar, PRIMARY KEY 
> (application, environment, type, emitted_at)) WITH COMPACT STORAGE;
> 
> Next, insert some test data:
> 
> (just for example) 
> [INSERT INTO libraries (application, environment, type, additional_info, 
> emitted_at) VALUES (?, ?, ?, ?, ?); [app env type 0 #inst 
> "2013-04-20T13:01:04.935-00:00"]]
> 
> If keys (e.q. "app" "env" "type") are all same across the dataset, it works 
> correctly.
> As soon as I start varying keys, e.q. "app1", "app2", "app3" or others, I get 
> the error with Message Length Exceeded.
> 
> Does anyone have some ideas?
> Thanks for help!
> 
> 
> On Sat, Apr 20, 2013 at 1:56 PM, Oleksandr Petrov 
> <[email protected]> wrote:
> I can confirm running same problem. 
> 
> Tried ConfigHelper.setThriftMaxMessageLengthInMb();, and tuning server side, 
> reducing/increasing batch size. 
> 
> Here's stacktrace from Hadoop/Cassandra, maybe it could give a hint:
> 
> Caused by: org.apache.thrift.protocol.TProtocolException: Message length 
> exceeded: 8
>       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$get_paged_slice_result.read(Cassandra.java:14157)
>       at org.apache.thrift.TServiceClient.receiveBase(TServiceClient.java:78)
>       at 
> org.apache.cassandra.thrift.Cassandra$Client.recv_get_paged_slice(Cassandra.java:769)
>       at 
> org.apache.cassandra.thrift.Cassandra$Client.get_paged_slice(Cassandra.java:753)
>       at 
> org.apache.cassandra.hadoop.ColumnFamilyRecordReader$WideRowIterator.maybeInit(ColumnFamilyRecordReader.java:438)
> 
> 
> On Thu, Apr 18, 2013 at 12:34 AM, Lanny Ripple <[email protected]> wrote:
> It's slow going finding the time to do so but I'm working on that.
> 
> We do have another table that has one or sometimes two columns per row.  We 
> can run jobs on it without issue.  I looked through 
> org.apache.cassandra.hadoop code and don't see anything that's really changed 
> since 1.1.5 (which was also using thrift-0.7) so something of a puzzler about 
> what's going on.
> 
> 
> On Apr 17, 2013, at 2:47 PM, aaron morton <[email protected]> wrote:
> 
> > Can you reproduce this in a simple way ?
> >
> > Cheers
> >
> > -----------------
> > Aaron Morton
> > Freelance Cassandra Consultant
> > New Zealand
> >
> > @aaronmorton
> > http://www.thelastpickle.com
> >
> > On 18/04/2013, at 5:50 AM, Lanny Ripple <[email protected]> wrote:
> >
> >> 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 <[email protected]> 
> >> 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 <[email protected]> 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 <[email protected]> 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, <[email protected]> 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:[email protected]]
> >>>>> Sent: Tuesday, April 09, 2013 6:17 PM
> >>>>> To: [email protected]
> >>>>> 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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> >>>
> >>
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> >
> 
> 
> 
> 
> -- 
> alex p
> 
> 
> 
> -- 
> alex p
> 
> 
> 
> -- 
> alex p
> 
> 
> 
> -- 
> alex p

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