Did your spark build with Hive?
I met the same problem before because the hive-exec jar in the maven itself
include "protobuf" class, which will be included in the Spark jar.
Yong
Date: Tue, 25 Aug 2015 12:39:46 -0700
Subject: Re: Protobuf error when streaming from Kafka
From: lcas...@gmail.com
To: yuzhih...@gmail.com
CC: user@spark.apache.org
Hi,
I am using Spark-1.4 and Kafka-0.8.2.1
As per google suggestions, I rebuilt all the classes with protobuff-2.5
dependencies. My new protobuf is compiled using 2.5. However now, my spark job
does not start. Its throwing different error. Does Spark or any other its
dependencies uses old protobuff-2.4?
Exception in thread "main" java.lang.VerifyError: class
com.apple.ist.retail.xcardmq.serializers.SampleProtobufMessage$ProtoBuff
overrides final method getUnknownFields.()Lcom/google/protobuf/UnknownFieldSet;
at java.lang.ClassLoader.defineClass1(Native Method)
at java.lang.ClassLoader.defineClass(ClassLoader.java:760)
at java.security.SecureClassLoader.defineClass(SecureClassLoader.java:142)
at java.net.URLClassLoader.defineClass(URLClassLoader.java:467)
at java.net.URLClassLoader.access$100(URLClassLoader.java:73)
at java.net.URLClassLoader$1.run(URLClassLoader.java:368)
at java.net.URLClassLoader$1.run(URLClassLoader.java:362)
at java.security.AccessController.doPrivileged(Native Method)
at java.net.URLClassLoader.findClass(URLClassLoader.java:361)
at java.lang.ClassLoader.loadClass(ClassLoader.java:424)
at java.lang.ClassLoader.loadClass(ClassLoader.java:357)
at
com.apple.ist.retail.spark.kafka.consumer.SparkMQProcessor.start(SparkProcessor.java:68)
at
com.apple.ist.retail.spark.kafka.consumer.SparkMQConsumer.main(SparkConsumer.java:43)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at
sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at
sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:497)
at
org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:665)
at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:170)
at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:193)
at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:112)
at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
On Mon, Aug 24, 2015 at 6:53 PM, Ted Yu <yuzhih...@gmail.com> wrote:
Can you show the complete stack trace ?
Which Spark / Kafka release are you using ?
Thanks
On Mon, Aug 24, 2015 at 4:58 PM, Cassa L <lcas...@gmail.com> wrote:
Hi,
I am storing messages in Kafka using protobuf and reading them into Spark. I
upgraded protobuf version from 2.4.1 to 2.5.0. I got
"java.lang.UnsupportedOperationException" for older messages. However, even for
new messages I get the same error. Spark does convert it though. I see my
messages. How do I get rid of this error?
java.lang.UnsupportedOperationException: This is supposed to be overridden by
subclasses.
at
com.google.protobuf.GeneratedMessage.getUnknownFields(GeneratedMessage.java:180)
at
org.apache.hadoop.hdfs.protocol.proto.HdfsProtos$FsPermissionProto.getSerializedSize(HdfsProtos.java:5407)
at
com.google.protobuf.CodedOutputStream.computeMessageSizeNoTag(CodedOutputStream.java:749)
