HDFS DataNode BlockSender.sendChunks() exception: java.io.IOException: "An established connection was aborted by the software in your host machine

Question

I'm trying to read/save my csv file from hdfs using pyspark in jupyter, but i get this error (which i did'nt get before while reading or saving my data file):

    output = "hdfs://localhost:9000/DATA/cache_data" 
    new_data.write.parquet(output)

This is the error i get:

24/02/01 12:16:15 ERROR datanode.DataNode: BlockSender.sendChunks() exception:
java.io.IOException: An established connection was aborted by the software in your host machine
        at sun.nio.ch.SocketDispatcher.write0(Native Method)
        at sun.nio.ch.SocketDispatcher.write(SocketDispatcher.java:51)
        at sun.nio.ch.IOUtil.writeFromNativeBuffer(IOUtil.java:93)
        at sun.nio.ch.IOUtil.write(IOUtil.java:51)
        at sun.nio.ch.SocketChannelImpl.write(SocketChannelImpl.java:469)
        at sun.nio.ch.FileChannelImpl.transferToTrustedChannel(FileChannelImpl.java:516)
        at sun.nio.ch.FileChannelImpl.transferTo(FileChannelImpl.java:609)
        at org.apache.hadoop.net.SocketOutputStream.transferToFully(SocketOutputStream.java:223)
        at org.apache.hadoop.hdfs.server.datanode.BlockSender.sendPacket(BlockSender.java:624)
        at org.apache.hadoop.hdfs.server.datanode.BlockSender.doSendBlock(BlockSender.java:808)
        at org.apache.hadoop.hdfs.server.datanode.BlockSender.sendBlock(BlockSender.java:755)
        at org.apache.hadoop.hdfs.server.datanode.DataXceiver.readBlock(DataXceiver.java:552)
        at org.apache.hadoop.hdfs.protocol.datatransfer.Receiver.opReadBlock(Receiver.java:116)
        at org.apache.hadoop.hdfs.protocol.datatransfer.Receiver.processOp(Receiver.java:71)
        at org.apache.hadoop.hdfs.server.datanode.DataXceiver.run(DataXceiver.java:253)
        at java.lang.Thread.run(Thread.java:750)

I looked for the possible causes, I checked my resourceanager interface it shows an unhealthy node. I checked disk utilization. it seems good ResourceManager

I'm wondering if anyone encountered the same issue, or knows how to fix it ?