The problem is every datanode may be listed in the error report. That means all my datanodes are bad?
One thing I forgot to mention. I can not use start-all.sh and stop-all.sh to start and stop all dfs and mapred processes on my clusters. But the jobtracker and namenode web interface still work. I think I can solve this problem by ssh to every node and kill current hadoop processes and restart them again. The previous problem will also be solved( it's my opinion). But I really want to know why the HDFS reports me previous errors. On Sat, Sep 25, 2010 at 11:20 PM, Nan Zhu <[email protected]> wrote: > Hi Chen, > > It seems that you have a bad datanode? maybe you should reformat them? > > Nan > > On Sun, Sep 26, 2010 at 10:42 AM, He Chen <[email protected]> wrote: > > > Hello Neil > > > > No matter how big the file is. It always report this to me. The file size > > is > > from 10KB to 100MB. > > > > On Sat, Sep 25, 2010 at 6:08 PM, Neil Ghosh <[email protected]> > wrote: > > > > > How Big is the file? Did you try Formatting Name node and Datanode? > > > > > > On Sun, Sep 26, 2010 at 2:12 AM, He Chen <[email protected]> wrote: > > > > > > > Hello everyone > > > > > > > > I can not load local file to HDFS. It gave the following errors. > > > > > > > > WARN hdfs.DFSClient: DFSOutputStream ResponseProcessor exception for > > > block > > > > blk_-236192853234282209_419415java.io.EOFException > > > > at java.io.DataInputStream.readFully(DataInputStream.java:197) > > > > at java.io.DataInputStream.readLong(DataInputStream.java:416) > > > > at > > > > > > > > > > > > > > org.apache.hadoop.hdfs.DFSClient$DFSOutputStream$ResponseProcessor.run(DFSClient.java:2397) > > > > 10/09/25 15:38:25 WARN hdfs.DFSClient: Error Recovery for block > > > > blk_-236192853234282209_419415 bad datanode[0] 192.168.0.23:50010 > > > > 10/09/25 15:38:25 WARN hdfs.DFSClient: Error Recovery for block > > > > blk_-236192853234282209_419415 in pipeline 192.168.0.23:50010, > > > > 192.168.0.39:50010: bad datanode 192.168.0.23:50010 > > > > Any response will be appreciated! > > > > > > > > >
