xsm110 / apache-beam-example Goto Github PK
View Code? Open in Web Editor NEWApache Beam Example **开源社区
License: Apache License 2.0
Apache Beam Example **开源社区
License: Apache License 2.0
AlarmTable实体类中:
import org.joda.time.DateTime;
private DateTime alarmTime;
Beam字段类型 :
Schema.Field.of("alarmTime", FieldType.DATETIME)
CK中该字段类型:
alarmTime datetime
测试数据alarmTime格式为(yyyy-MM-dd HH:mm:ss ):
如:2019-05-09 11:32:24
入库时会报:java.lang.InstantiationException(实例化异常)
org.apache.flink.streaming.runtime.tasks.ExceptionInChainedOperatorException: Could not forward element to next operator
at org.apache.flink.streaming.runtime.tasks.OperatorChain$CopyingChainingOutput.pushToOperator(OperatorChain.java:575)
at org.apache.flink.streaming.runtime.tasks.OperatorChain$CopyingChainingOutput.collect(OperatorChain.java:533)
at org.apache.flink.streaming.runtime.tasks.OperatorChain$CopyingChainingOutput.collect(OperatorChain.java:513)
at org.apache.flink.streaming.api.operators.AbstractStreamOperator$CountingOutput.collect(AbstractStreamOperator.java:679)
at org.apache.flink.streaming.api.operators.AbstractStreamOperator$CountingOutput.collect(AbstractStreamOperator.java:657)
at org.apache.beam.runners.flink.translation.wrappers.streaming.DoFnOperator$BufferedOutputManager.emit(DoFnOperator.java:811)
at org.apache.beam.runners.flink.translation.wrappers.streaming.DoFnOperator$BufferedOutputManager.output(DoFnOperator.java:788)
at org.apache.beam.runners.core.SimpleDoFnRunner.outputWindowedValue(SimpleDoFnRunner.java:309)
at org.apache.beam.runners.core.SimpleDoFnRunner.access$700(SimpleDoFnRunner.java:77)
at org.apache.beam.runners.core.SimpleDoFnRunner$DoFnProcessContext.output(SimpleDoFnRunner.java:621)
at org.apache.beam.runners.core.SimpleDoFnRunner$DoFnProcessContext.output(SimpleDoFnRunner.java:609)
at com.example.demo.beam.KafkaToClickhouseIO$1.processElement(KafkaToClickhouseIO.java:86)
at com.example.demo.beam.KafkaToClickhouseIO$1$DoFnInvoker.invokeProcessElement(Unknown Source)
at org.apache.beam.runners.core.SimpleDoFnRunner.invokeProcessElement(SimpleDoFnRunner.java:275)
at org.apache.beam.runners.core.SimpleDoFnRunner.processElement(SimpleDoFnRunner.java:240)
at org.apache.beam.runners.flink.metrics.DoFnRunnerWithMetricsUpdate.processElement(DoFnRunnerWithMetricsUpdate.java:63)
at org.apache.beam.runners.flink.translation.wrappers.streaming.DoFnOperator.processElement(DoFnOperator.java:457)
at org.apache.flink.streaming.runtime.tasks.OperatorChain$CopyingChainingOutput.pushToOperator(OperatorChain.java:558)
at org.apache.flink.streaming.runtime.tasks.OperatorChain$CopyingChainingOutput.collect(OperatorChain.java:533)
at org.apache.flink.streaming.runtime.tasks.OperatorChain$CopyingChainingOutput.collect(OperatorChain.java:513)
at org.apache.flink.streaming.api.operators.AbstractStreamOperator$CountingOutput.collect(AbstractStreamOperator.java:679)
at org.apache.flink.streaming.api.operators.AbstractStreamOperator$CountingOutput.collect(AbstractStreamOperator.java:657)
at org.apache.flink.streaming.api.operators.TimestampedCollector.collect(TimestampedCollector.java:51)
at org.apache.beam.runners.flink.FlinkStreamingTransformTranslators$StripIdsMap.flatMap(FlinkStreamingTransformTranslators.java:255)
at org.apache.beam.runners.flink.FlinkStreamingTransformTranslators$StripIdsMap.flatMap(FlinkStreamingTransformTranslators.java:248)
at org.apache.flink.streaming.api.operators.StreamFlatMap.processElement(StreamFlatMap.java:50)
at org.apache.flink.streaming.runtime.tasks.OperatorChain$CopyingChainingOutput.pushToOperator(OperatorChain.java:558)
at org.apache.flink.streaming.runtime.tasks.OperatorChain$CopyingChainingOutput.collect(OperatorChain.java:533)
at org.apache.flink.streaming.runtime.tasks.OperatorChain$CopyingChainingOutput.collect(OperatorChain.java:513)
at org.apache.flink.streaming.api.operators.AbstractStreamOperator$CountingOutput.collect(AbstractStreamOperator.java:679)
at org.apache.flink.streaming.api.operators.AbstractStreamOperator$CountingOutput.collect(AbstractStreamOperator.java:657)
at org.apache.flink.streaming.api.operators.StreamSourceContexts$ManualWatermarkContext.processAndCollectWithTimestamp(StreamSourceContexts.java:310)
at org.apache.flink.streaming.api.operators.StreamSourceContexts$WatermarkContext.collectWithTimestamp(StreamSourceContexts.java:409)
at org.apache.beam.runners.flink.translation.wrappers.streaming.io.UnboundedSourceWrapper.emitElement(UnboundedSourceWrapper.java:332)
at org.apache.beam.runners.flink.translation.wrappers.streaming.io.UnboundedSourceWrapper.run(UnboundedSourceWrapper.java:239)
at org.apache.flink.streaming.api.operators.StreamSource.run(StreamSource.java:87)
at org.apache.flink.streaming.api.operators.StreamSource.run(StreamSource.java:56)
at org.apache.flink.streaming.runtime.tasks.SourceStreamTask.run(SourceStreamTask.java:99)
at org.apache.flink.streaming.runtime.tasks.StoppableSourceStreamTask.run(StoppableSourceStreamTask.java:45)
at org.apache.flink.streaming.runtime.tasks.StreamTask.invoke(StreamTask.java:306)
at org.apache.flink.runtime.taskmanager.Task.run(Task.java:703)
at java.lang.Thread.run(Thread.java:745)
Caused by: java.lang.RuntimeException: java.lang.InstantiationException
at org.apache.avro.specific.SpecificData.newInstance(SpecificData.java:353)
at org.apache.avro.specific.SpecificData.newRecord(SpecificData.java:369)
at org.apache.avro.reflect.ReflectData.newRecord(ReflectData.java:901)
at org.apache.avro.generic.GenericDatumReader.readRecord(GenericDatumReader.java:212)
at org.apache.avro.generic.GenericDatumReader.readWithoutConversion(GenericDatumReader.java:175)
at org.apache.avro.reflect.ReflectDatumReader.readField(ReflectDatumReader.java:302)
at org.apache.avro.generic.GenericDatumReader.readRecord(GenericDatumReader.java:222)
at org.apache.avro.generic.GenericDatumReader.readWithoutConversion(GenericDatumReader.java:175)
at org.apache.avro.reflect.ReflectDatumReader.readField(ReflectDatumReader.java:302)
at org.apache.avro.generic.GenericDatumReader.readRecord(GenericDatumReader.java:222)
at org.apache.avro.generic.GenericDatumReader.readWithoutConversion(GenericDatumReader.java:175)
at org.apache.avro.generic.GenericDatumReader.read(GenericDatumReader.java:153)
at org.apache.avro.generic.GenericDatumReader.read(GenericDatumReader.java:145)
at org.apache.beam.sdk.coders.AvroCoder.decode(AvroCoder.java:317)
at org.apache.beam.sdk.coders.Coder.decode(Coder.java:159)
at org.apache.beam.sdk.util.WindowedValue$FullWindowedValueCoder.decode(WindowedValue.java:543)
at org.apache.beam.sdk.util.WindowedValue$FullWindowedValueCoder.decode(WindowedValue.java:480)
at org.apache.beam.sdk.util.CoderUtils.decodeFromSafeStream(CoderUtils.java:115)
at org.apache.beam.sdk.util.CoderUtils.decodeFromByteArray(CoderUtils.java:98)
at org.apache.beam.sdk.util.CoderUtils.decodeFromByteArray(CoderUtils.java:92)
at org.apache.beam.sdk.util.CoderUtils.clone(CoderUtils.java:141)
at org.apache.beam.runners.flink.translation.types.CoderTypeSerializer.copy(CoderTypeSerializer.java:64)
at org.apache.flink.streaming.runtime.tasks.OperatorChain$CopyingChainingOutput.pushToOperator(OperatorChain.java:556)
... 41 more
Caused by: java.lang.InstantiationException
at sun.reflect.InstantiationExceptionConstructorAccessorImpl.newInstance(InstantiationExceptionConstructorAccessorImpl.java:48)
at java.lang.reflect.Constructor.newInstance(Constructor.java:423)
at org.apache.avro.specific.SpecificData.newInstance(SpecificData.java:351)
... 63 more
==========回传实体异常
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.