flink 1.12分支写入hive decimal类型jar冲突

[kandy.wang]

flink版本：1.12
hive版本：2.3.4
flink 1.12分支写入hive decimal类型报错：
java.lang.NoSuchMethodError: org.apache.hadoop.hive.serde2.io.HiveDecimalWritable.serialize64(I)J
    at org.apache.orc.impl.ColumnStatisticsImpl$Decimal64StatisticsImpl.updateDecimal(ColumnStatisticsImpl.java:1010)
    at org.apache.orc.impl.writer.DecimalTreeWriter.writeBatch(DecimalTreeWriter.java:99)
    at org.apache.orc.impl.writer.DecimalTreeWriter.writeBatch(DecimalTreeWriter.java:159)
    at org.apache.orc.impl.writer.StructTreeWriter.writeRootBatch(StructTreeWriter.java:56)
    at org.apache.orc.impl.WriterImpl.addRowBatch(WriterImpl.java:557)
    at org.apache.flink.orc.writer.OrcBulkWriter.addElement(OrcBulkWriter.java:58)
    at org.apache.flink.table.filesystem.FileSystemTableSink$ProjectionBulkFactory$1.addElement(FileSystemTableSink.java:589)
    at org.apache.flink.table.filesystem.FileSystemTableSink$ProjectionBulkFactory$1.addElement(FileSystemTableSink.java:585)
    at org.apache.flink.streaming.api.functions.sink.filesystem.BulkPartWriter.write(BulkPartWriter.java:48)
    at org.apache.flink.streaming.api.functions.sink.filesystem.Bucket.write(Bucket.java:209)
    at org.apache.flink.streaming.api.functions.sink.filesystem.Buckets.onElement(Buckets.java:290)
    at org.apache.flink.streaming.api.functions.sink.filesystem.StreamingFileSinkHelper.onElement(StreamingFileSinkHelper.java:104)
    at org.apache.flink.table.filesystem.stream.AbstractStreamingWriter.processElement(AbstractStreamingWriter.java:140)
    at org.apache.flink.streaming.runtime.tasks.CopyingChainingOutput.pushToOperator(CopyingChainingOutput.java:71)
    at org.apache.flink.streaming.runtime.tasks.CopyingChainingOutput.collect(CopyingChainingOutput.java:46)
    at org.apache.flink.streaming.runtime.tasks.CopyingChainingOutput.collect(CopyingChainingOutput.java:26)
    at org.apache.flink.streaming.api.operators.CountingOutput.collect(CountingOutput.java:52)
    at org.apache.flink.streaming.api.operators.CountingOutput.collect(CountingOutput.java:30)
    at org.apache.flink.streaming.api.operators.StreamFilter.processElement(StreamFilter.java:40)
    at org.apache.flink.streaming.runtime.tasks.CopyingChainingOutput.pushToOperator(CopyingChainingOutput.java:71)
    at org.apache.flink.streaming.runtime.tasks.CopyingChainingOutput.collect(CopyingChainingOutput.java:46)
    at org.apache.flink.streaming.runtime.tasks.CopyingChainingOutput.collect(CopyingChainingOutput.java:26)
    at org.apache.flink.streaming.api.operators.CountingOutput.collect(CountingOutput.java:52)
    at org.apache.flink.streaming.api.operators.CountingOutput.collect(CountingOutput.java:30)
    at StreamExecCalc$154.processElement(Unknown Source)
    at org.apache.flink.streaming.runtime.tasks.CopyingChainingOutput.pushToOperator(CopyingChainingOutput.java:71)
    at org.apache.flink.streaming.runtime.tasks.CopyingChainingOutput.collect(CopyingChainingOutput.java:46)
    at org.apache.flink.streaming.runtime.tasks.CopyingChainingOutput.collect(CopyingChainingOutput.java:26)
    at org.apache.flink.streaming.api.operators.CountingOutput.collect(CountingOutput.java:52)
    at org.apache.flink.streaming.api.operators.CountingOutput.collect(CountingOutput.java:30)
    at org.apache.flink.streaming.api.operators.StreamSourceContexts$ManualWatermarkContext.processAndCollectWithTimestamp(StreamSourceContexts.java:310)
    at org.apache.flink.streaming.api.operators.StreamSourceContexts$WatermarkContext.collectWithTimestamp(StreamSourceContexts.java:409)
    at org.apache.flink.streaming.connectors.kafka.internals.AbstractFetcher.emitRecordsWithTimestamps(AbstractFetcher.java:352)
    at org.apache.flink.streaming.connectors.kafka.internals.KafkaFetcher.partitionConsumerRecordsHandler(KafkaFetcher.java:181)
    at org.apache.flink.streaming.connectors.kafka.internals.KafkaFetcher.runFetchLoop(KafkaFetcher.java:137)
    at org.apache.flink.streaming.connectors.kafka.FlinkKafkaConsumerBase.run(FlinkKafkaConsumerBase.java:761)
    at org.apache.flink.streaming.api.operators.StreamSource.run(StreamSource.java:100)
    at org.apache.flink.streaming.api.operators.StreamSource.run(StreamSource.java:63)
    at org.apache.flink.streaming.runtime.tasks.SourceStreamTask$LegacySourceFunctionThread.run(SourceStreamTask.java:215)

这个方法是在hive-exec版本3.1.2版本才有

请问：hive版本 orc版本之间有什么兼容性问题？如何解