场景:将table表转为streaming流进行一个关联维表操作后发生异常
异常内容: 2021-11-17 19:39:53.056|ERROR|org.apache.flink.runtime.io.network.partition.BufferWritingResultPartition|flink-taskexecutor-io-thread-4|releaseInternal|233|Error during release of result subpartition: C:\Users\monster\AppData\Local\Temp\flink-netty-shuffle-76964c7f-ffc6-490f-82bc-a3091412955b\0be871a1d3b522377ffd8f565bb3b81f.channel java.nio.file.NoSuchFileException: C:\Users\monster\AppData\Local\Temp\flink-netty-shuffle-76964c7f-ffc6-490f-82bc-a3091412955b\0be871a1d3b522377ffd8f565bb3b81f.channel at sun.nio.fs.WindowsException.translateToIOException(WindowsException.java:79) at sun.nio.fs.WindowsException.rethrowAsIOException(WindowsException.java:97) at sun.nio.fs.WindowsException.rethrowAsIOException(WindowsException.java:102) at sun.nio.fs.WindowsFileSystemProvider.implDelete(WindowsFileSystemProvider.java:269) at sun.nio.fs.AbstractFileSystemProvider.delete(AbstractFileSystemProvider.java:103) at java.nio.file.Files.delete(Files.java:1126) at org.apache.flink.runtime.io.network.partition.FileChannelBoundedData.close(FileChannelBoundedData.java:97) at org.apache.flink.runtime.io.network.partition.BoundedBlockingSubpartition.checkReaderReferencesAndDispose(BoundedBlockingSubpartition.java:253) at org.apache.flink.runtime.io.network.partition.BoundedBlockingSubpartition.release(BoundedBlockingSubpartition.java:205) at org.apache.flink.runtime.io.network.partition.BufferWritingResultPartition.releaseInternal(BufferWritingResultPartition.java:229) at org.apache.flink.runtime.io.network.partition.ResultPartition.release(ResultPartition.java:246) at org.apache.flink.runtime.io.network.partition.ResultPartitionManager.releasePartition(ResultPartitionManager.java:86) at org.apache.flink.runtime.io.network.NettyShuffleEnvironment.lambda$releasePartitionsLocally$0(NettyShuffleEnvironment.java:181) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617) at java.lang.Thread.run(Thread.java:748) 陈
