zoukankan      html  css  js  c++  java
  • hadoop 生态系统版本对应问题

    http://hbase.apache.org/book.html

    这是hortonworks的哦哦哦哦哦哦哦哦哦哦哦哦




    Hadoop 2.x is better than Hadoop 1.x

    
    

    Hadoop 2.x is faster, with more features such as short-circuit reads which will help improve your HBase random read profile as well important bug fixes that will improve your overall HBase experience. You should run Hadoop 2. rather than Hadoop 1. if you can.

    
    

    Table 2.1. Hadoop version support matrix

     HBase-0.92.xHBase-0.94.xHBase-0.96.0
    Hadoop-0.20.205 S X X
    Hadoop-0.22.x S X X
    Hadoop-1.0.0-1.0.2[a] S S X
    Hadoop-1.0.3+ S S S
    Hadoop-1.1.x NT S S
    Hadoop-0.23.x X S NT
    Hadoop-2.0.x-alpha X NT X
    Hadoop-2.1.0-beta X NT S
    Hadoop-2.2.0 X NT S
    Hadoop-2.x X NT S

    [a] HBase requires hadoop 1.0.3 at a minimum; there is an issue where we cannot find KerberosUtil compiling against earlier versions of Hadoop.

    
    


    Where

    
    
    
    
    
    S = supported and tested,
    X = not supported,
    NT = it should run, but not tested enough.
    
    

    Replace the Hadoop Bundled With HBase!

    Because HBase depends on Hadoop, it bundles an instance of the Hadoop jar under its lib directory. The bundled jar is ONLY for use in standalone mode. In distributed mode, it is critical that the version of Hadoop that is out on your cluster match what is under HBase. Replace the hadoop jar found in the HBase lib directory with the hadoop jar you are running on your cluster to avoid version mismatch issues. Make sure you replace the jar in HBase everywhere on your cluster. Hadoop version mismatch issues have various manifestations but often all looks like its hung up.

     
  • 相关阅读:
    使用ServiceStackRedis链接Redis简介
    浅谈SQL SERVER中事务的ACID
    Sql Server查询性能优化之走出索引的误区
    Redis命令总结
    TSQL查询进阶—理解SQL Server中的锁
    SQL Server 2005 分区表实践——分区切换
    SQL Server Profiler 模板
    深入浅出SQL Server中的死锁
    不同的单元中的类可以共用同一个命名空间
    从硬盘上装xp手记(2005.8.14 )
  • 原文地址:https://www.cnblogs.com/i80386/p/3604502.html
Copyright © 2011-2022 走看看