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https://issues.apache.org/jira/browse/HDFS-11608?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15955693#comment-15955693
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Xiaobing Zhou edited comment on HDFS-11608 at 4/4/17 7:44 PM:
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Posted v1 to add some tests. Thanks [~xyao]
was (Author: xiaobingo):
Posted v1 to add some tests.
> HDFS write crashed in the case of huge block size
> -------------------------------------------------
>
> Key: HDFS-11608
> URL: https://issues.apache.org/jira/browse/HDFS-11608
> Project: Hadoop HDFS
> Issue Type: Bug
> Components: hdfs-client
> Affects Versions: 2.8.0
> Reporter: Xiaobing Zhou
> Assignee: Xiaobing Zhou
> Priority: Critical
> Attachments: HDFS-11608.000.patch, HDFS-11608.001.patch
>
>
> We've seen HDFS write crashes in the case of huge block size. For example,
> writing a 3G file using 3G block size, HDFS client throws out of memory
> exception. DataNode gives out IOException. After changing heap size limit,
> DFSOutputStream ResponseProcessor exception is seen followed by Broken pipe
> and pipeline recovery.
> Give below:
> DN exception,
> {noformat}
> 2017-03-30 16:34:33,828 ERROR datanode.DataNode (DataXceiver.java:run(278)) -
> c6401.ambari.apache.org:50010:DataXceiver error processing WRITE_BLOCK
> operation src: /192.168.64.101:47167 dst: /192.168.64.101:50010
> java.io.IOException: Incorrect value for packet payload size: 2147483128
> at
> org.apache.hadoop.hdfs.protocol.datatransfer.PacketReceiver.doRead(PacketReceiver.java:159)
> at
> org.apache.hadoop.hdfs.protocol.datatransfer.PacketReceiver.receiveNextPacket(PacketReceiver.java:109)
> at
> org.apache.hadoop.hdfs.server.datanode.BlockReceiver.receivePacket(BlockReceiver.java:502)
> at
> org.apache.hadoop.hdfs.server.datanode.BlockReceiver.receiveBlock(BlockReceiver.java:898)
> at
> org.apache.hadoop.hdfs.server.datanode.DataXceiver.writeBlock(DataXceiver.java:806)
> at
> org.apache.hadoop.hdfs.protocol.datatransfer.Receiver.opWriteBlock(Receiver.java:137)
> at
> org.apache.hadoop.hdfs.protocol.datatransfer.Receiver.processOp(Receiver.java:74)
> at
> org.apache.hadoop.hdfs.server.datanode.DataXceiver.run(DataXceiver.java:251)
> at java.lang.Thread.run(Thread.java:745)
> {noformat}
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