I downloaded below binary version of spark. spark-1.4.1-bin-cdh4 On Tue, Aug 25, 2015 at 1:03 PM, java8964 <java8...@hotmail.com> wrote:
> 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) > > > >
