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From Oleksandr Petrov <oleksandr.pet...@gmail.com>
Subject Re: Thrift message length exceeded
Date Sun, 21 Apr 2013 23:44:26 GMT
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 <
oleksandr.petrov@gmail.com> 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 <
> oleksandr.petrov@gmail.com> 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 <lanny@spotright.com>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 <aaron@thelastpickle.com>
>>> 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 <lanny@spotright.com> 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 <
>>> aaron@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 <lanny@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 <lanny@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.kranc@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:lanny@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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>>> >>>>> _______________________________________________
>>> >>>>
>>> >>>
>>> >>
>>> >>
>>> >
>>>
>>>
>>
>>
>> --
>> alex p
>>
>
>
>
> --
> alex p
>



-- 
alex p

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