zoukankan      html  css  js  c++  java
  • Fix Corrupt Blocks on HDFS

    来自:http://centoshowtos.org/hadoop/fix-corrupt-blocks-on-hdfs/

    How do I know if my hadoop hdfs filesystem has corrupt blocks, and how do I fix it?

    The easiest way to determine this is to run an fsck on the filesystem. If you have setup your hadoop environment variables you should be able to use a path of /, if not hdfs://ip.or.hostname:50070/.

    hdfs fsck /

    or.

    hdfs fsck hdfs://ip.or.hostname:50070/

    If the end of your output looks something like this, you have corrupt blocks on your fs.

    .............................Status: CORRUPT
    Total size: 3453345169348 B (Total open files size: 664 B)
    Total dirs: 15233
    Total files: 14029
    Total symlinks: 0 (Files currently being written: 8)
    Total blocks (validated): 40961 (avg. block size 84308126 B) (Total open file blocks (not validated): 8)
    ********************************
    CORRUPT FILES: 2
    MISSING BLOCKS: 2
    MISSING SIZE: 15731297 B
    CORRUPT BLOCKS: 2
    ********************************
    Corrupt blocks: 2
    Number of data-nodes: 12
    Number of racks: 2
    FSCK ended at Fri Mar 27 XX:03:21 UTC 201X in XXX milliseconds

    The filesystem under path '/' is CORRUPT

    How do I know which files have blocks that are corrupt?

    The output of the fsck above will be very verbose, but it will mention which blocks are corrupt. We can do some grepping of the fsck above so that we aren't "reading through a firehose".

    hdfs fsck / | egrep -v '^.+$' | grep -v replica | grep -v Replica

    or

    hdfs fsck hdfs://ip.or.host:50070/ | egrep -v '^.+$' | grep -v replica | grep -v Replica

    This will list the affected files, and the output will not be a bunch of dots, and also files that might currently have under-replicated blocks (which isn't necessarily an issue). The output should include something like this with all your affected files.

    /path/to/filename.fileextension: CORRUPT blockpool BP-1016133662-10.29.100.41-1415825958975 block blk_1073904305

    /path/to/filename.fileextension: MISSING 1 blocks of total size 15620361 B

    The next step would be to determine the importance of the file, can it just be removed and copied back into place, or is there sensitive data that needs to be regenerated?

    If it's easy enough just to replace the file, that's the route I would take.

    Remove the corrupted file from your hadoop cluster

    This command will move the corrupted file to the trash.

    hdfs dfs -rm /path/to/filename.fileextension
    hdfs dfs -rm hdfs://ip.or.hostname.of.namenode:50070/path/to/filename.fileextension

    Or you can skip the trash to permanently delete (which is probably what you want to do)

    hdfs dfs -rm -skipTrash /path/to/filename.fileextension
    hdfs dfs -rm -skipTrash hdfs://ip.or.hostname.of.namenode:50070/path/to/filename.fileextension

    How would I repair a corrupted file if it was not easy to replace?

    This might or might not be possible, but the first step would be to gather information on the file's location, and blocks.

    hdfs fsck /path/to/filename/fileextension -locations -blocks -files
    hdfs fsck hdfs://ip.or.hostname.of.namenode:50070/path/to/filename/fileextension -locations -blocks -files

    From this data, you can track down the node where the corruption is. On those nodes, you can look through logs and determine what the issue is. If a disk was replaced, i/o errors on the server, etc. If possible to recover on that machine and get the partition with the blocks online that would report back to hadoop and the file would be healthy again. If that isn't possible, you will unforunately have to find another way to regenerate.

  • 相关阅读:
    Apache Spark源码走读之4 -- DStream实时流数据处理
    Apache Spark源码走读之3 -- Task运行期之函数调用关系分析
    Apache Spark源码走读之2 -- Job的提交与运行
    Apache Spark源码走读之1 -- Spark论文阅读笔记
    Spark
    (转)互联网广告综述之点击率特征工程
    Java排序算法之冒泡排序
    java枚举
    第二课、数据的艺术---------------------狄泰软件学院
    第一课、进阶高手的大门--------------------狄泰软件学院
  • 原文地址:https://www.cnblogs.com/sunxucool/p/5497820.html
Copyright © 2011-2022 走看看