【发布时间】：2019-11-10 05:58:35
【问题描述】：
我正在我的 flink 应用程序中读取来自 kinesis 的事件。事件采用 protobuf 格式。如果我在 flink 应用程序中使用 'com.google.protobuf:protobuf-java:3.7.1' ，我没有问题。但是，如果我将其更改为 'com.google.protobuf:protobuf-java:3.10.0'，我会通过堆栈跟踪得到上述异常
java.lang.IncompatibleClassChangeError: class com.google.protobuf.Descriptors$OneofDescriptor has interface com.google.protobuf.Descriptors$GenericDescriptor as super class
at java.lang.ClassLoader.defineClass1(Native Method)
at java.lang.ClassLoader.defineClass(ClassLoader.java:763)
at java.security.SecureClassLoader.defineClass(SecureClassLoader.java:142)
at java.net.URLClassLoader.defineClass(URLClassLoader.java:468)
at java.net.URLClassLoader.access$100(URLClassLoader.java:74)
at java.net.URLClassLoader$1.run(URLClassLoader.java:369)
at java.net.URLClassLoader$1.run(URLClassLoader.java:363)
at java.security.AccessController.doPrivileged(Native Method)
at java.net.URLClassLoader.findClass(URLClassLoader.java:362)
at java.lang.ClassLoader.loadClass(ClassLoader.java:424)
at java.lang.ClassLoader.loadClass(ClassLoader.java:357)
at java.lang.Class.getDeclaredMethods0(Native Method)
at java.lang.Class.privateGetDeclaredMethods(Class.java:2701)
at java.lang.Class.privateGetPublicMethods(Class.java:2902)
at java.lang.Class.privateGetPublicMethods(Class.java:2917)
at java.lang.Class.getMethods(Class.java:1615)
at org.apache.flink.api.java.typeutils.TypeExtractor.isValidPojoField(TypeExtractor.java:1786)
at org.apache.flink.api.java.typeutils.TypeExtractor.analyzePojo(TypeExtractor.java:1856)
at org.apache.flink.api.java.typeutils.TypeExtractor.privateGetForClass(TypeExtractor.java:1746)
at org.apache.flink.api.java.typeutils.TypeExtractor.privateGetForClass(TypeExtractor.java:1643)
at org.apache.flink.api.java.typeutils.TypeExtractor.createTypeInfoWithTypeHierarchy(TypeExtractor.java:921)
at org.apache.flink.api.java.typeutils.TypeExtractor.privateCreateTypeInfo(TypeExtractor.java:781)
at org.apache.flink.api.java.typeutils.TypeExtractor.createTypeInfo(TypeExtractor.java:735)
at org.apache.flink.api.java.typeutils.TypeExtractor.createTypeInfo(TypeExtractor.java:731)
at org.apache.flink.api.common.typeinfo.TypeInformation.of(TypeInformation.java:211)
at org.apache.flink.api.java.typeutils.ListTypeInfo.<init>(ListTypeInfo.java:45)
at com.bagi.streaming.serialization.ProtoSchema.getProducedType(ProtoSchema.java:40)
at org.apache.flink.streaming.connectors.kinesis.serialization.KinesisDeserializationSchemaWrapper.getProducedType(KinesisDeserializationSchemaWrapper.java:57)
at org.apache.flink.streaming.connectors.kinesis.FlinkKinesisConsumer.getProducedType(FlinkKinesisConsumer.java:363)
at org.apache.flink.streaming.api.environment.StreamExecutionEnvironment.addSource(StreamExecutionEnvironment.java:1456)
at org.apache.flink.streaming.api.environment.StreamExecutionEnvironment.addSource(StreamExecutionEnvironment.java:1414)
at org.apache.flink.streaming.api.environment.StreamExecutionEnvironment.addSource(StreamExecutionEnvironment.java:1396)
at com.bagi.streaming.StreamProcessor.getKinesisTrackingStream(StreamProcessor.java:101)
at com.bagi.streaming.StreamProcessor.getKinesisTrackingStream(StreamProcessor.java:110)
at com.bagi.streaming.StreamProcessor.consumeKinesis(StreamProcessor.java:117)
at com.bagi.streaming.StreamProcessor.main(StreamProcessor.java:80)
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:498)
at org.apache.flink.client.program.PackagedProgram.callMainMethod(PackagedProgram.java:529)
at org.apache.flink.client.program.PackagedProgram.invokeInteractiveModeForExecution(PackagedProgram.java:421)
at org.apache.flink.client.program.ClusterClient.run(ClusterClient.java:423)
at org.apache.flink.client.cli.CliFrontend.executeProgram(CliFrontend.java:813)
at org.apache.flink.client.cli.CliFrontend.runProgram(CliFrontend.java:287)
at org.apache.flink.client.cli.CliFrontend.run(CliFrontend.java:213)
at org.apache.flink.client.cli.CliFrontend.parseParameters(CliFrontend.java:1050)
at org.apache.flink.client.cli.CliFrontend.lambda$main$11(CliFrontend.java:1126)
at java.security.AccessController.doPrivileged(Native Method)
at javax.security.auth.Subject.doAs(Subject.java:422)
at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1844)
at org.apache.flink.runtime.security.HadoopSecurityContext.runSecured(HadoopSecurityContext.java:41)
at org.apache.flink.client.cli.CliFrontend.main(CliFrontend.java:1126)
我正在使用 flink@1.8.0 和 'com.twitter:chill-protobuf:0.9.3'。我正在我的 Mac 上本地构建 flink 应用程序 jar。我已经尝试在 3.10.0 和 3.7.1 中使用 protoc 来处理 3.10.0 的 protobuf-java，以防万一。
这是我的反序列化器
public class ProtoSchema implements DeserializationSchema<List<Event>> {
@Override
public List<Event> deserialize(byte[] message) throws IOException {
List<Event> events = new LinkedList<>();
InputStream inputStream = new ByteArrayInputStream(message);
while (true) {
Event event = Event.parseDelimitedFrom(inputStream);
if (event != null) {
events.add(event);
} else {
break;
}
}
return events;
}
@Override
public boolean isEndOfStream(List<Event> nextElement) {
return false;
}
@Override
public TypeInformation<List<Event>> getProducedType() {
return new ListTypeInfo<>(Event.class);
}
}
我正在通过这样做插入
StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
Properties consumerConfig = new Properties();
consumerConfig.put(AWSConfigConstants.AWS_CREDENTIALS_PROVIDER, "AUTO");
consumerConfig.put(AWSConfigConstants.AWS_REGION, region);
consumerConfig.put(ConsumerConfigConstants.SHARD_GETRECORDS_INTERVAL_MILLIS, "300");
consumerConfig.put(ConsumerConfigConstants.SHARD_GETRECORDS_RETRIES, "10");
consumerConfig.put(ConsumerConfigConstants.SHARD_GETRECORDS_MAX, "5000");
consumerConfig.put(ConsumerConfigConstants.STREAM_INITIAL_POSITION, "LATEST");
env.addSource(new FlinkKinesisConsumer<>(name, new ProtoSchema(), consumerConfig)).name("KinesisSource");
env.getConfig().registerTypeWithKryoSerializer(Event.class, ProtobufSerializer.class);
Event.class 是使用 protoc@3.10.0 和 protobuf-java@3.10.0
从 protobuf 架构编译的【问题讨论】：
-
apache-flink@1.9.1 不会出现这个问题。所以我猜 apache-flink@1.8.0 和 protobuf@3.10.0 存在问题
标签： java protocol-buffers apache-flink amazon-kinesis