DataXceiver error processing WRITE_BLOCK operation

[#1]

ip:9866:DataXceiver error processing WRITE_BLOCK operation  src: /ip:30458 dst: /ip:9866
java.io.EOFException: Unexpected EOF while trying to read response from server
	at org.apache.hadoop.hdfs.protocolPB.PBHelperClient.vintPrefixed(PBHelperClient.java:539)
	at org.apache.hadoop.hdfs.server.datanode.DataXceiver.writeBlock(DataXceiver.java:846)
	at org.apache.hadoop.hdfs.protocol.datatransfer.Receiver.opWriteBlock(Receiver.java:173)
	at org.apache.hadoop.hdfs.protocol.datatransfer.Receiver.processOp(Receiver.java:107)
	at org.apache.hadoop.hdfs.server.datanode.DataXceiver.run(DataXceiver.java:291)
	at java.lang.Thread.run(Thread.java:748)

ip:9866:DataXceiver error processing WRITE_BLOCK operation  src: /ip:46217 dst: /ip:9866
java.io.IOException: Not ready to serve the block pool, BP-711568456-10.13.6.7-1597913882399.
	at org.apache.hadoop.hdfs.server.datanode.DataXceiver.checkAndWaitForBP(DataXceiver.java:1402)
	at org.apache.hadoop.hdfs.server.datanode.DataXceiver.checkAccess(DataXceiver.java:1418)
	at org.apache.hadoop.hdfs.server.datanode.DataXceiver.writeBlock(DataXceiver.java:715)
	at org.apache.hadoop.hdfs.protocol.datatransfer.Receiver.opWriteBlock(Receiver.java:173)
	at org.apache.hadoop.hdfs.protocol.datatransfer.Receiver.processOp(Receiver.java:107)
	at org.apache.hadoop.hdfs.server.datanode.DataXceiver.run(DataXceiver.java:291)
	at java.lang.Thread.run(Thread.java:748)

This problem has been bothering me. What direction should I check

[#2]

I think the DataNode is restarting and scan blocks? It will return to normal when hen the block scan is complete.

You can test it again when the following content appears in the log

2022-01-17 22:41:56,564 INFO org.apache.hadoop.hdfs.server.datanode.fsdataset.impl.FsDatasetImpl: Time to add replicas to map for block pool BP-1115033092-xx.xx.xx.xx-1532155849771 on volume /data4/xxx/hdfs/dfs/data/current: 5270395ms

[#3]

You mean I can ignore this mistake, righ，However, this is an error, which will affect my cluster. I should check how it is caused