hadoop2.2.0集群的HA高可靠配置

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简介

hadoop中的NameNode好比是人的心脏,非常重要,绝对不可以停止工作。在hadoop1时代,只有一个NameNode。如果该NameNode数据丢失或者不能工作,那么整个集群就不能恢复了。这是hadoop1中的单点问题,也是hadoop1不可靠的表现,如图1所示。hadoop2就解决了这个问题。

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图1 继续阅读“hadoop2.2.0集群的HA高可靠配置”

pig简单使用

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pig提供了一个基于Apache Hadoop的并行地执行数据流处理的引擎,它包含了一种脚本语言,称为Pig Latin,用来描述这些数据流。Pig Latin本身提供了许多传统的数据操作(如join、sort、filter等),同时允许用户自己开发一些自定义函数用来读取、处理和写数据。

下面给出Pig的一个基于Hadoop集群的简单查询用法。

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ClassNotFoundException: WordCount$TokenizerMapper

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在Eclipse中搭建好Hadoop开发环境后,运行WordCount程序,结果会报如题的错误:

ClassNotFoundException: org.apache.hadoop.examples.WordCount$TokenizerMapper

这个错误的原因不是很清楚,但可以将WordCount等相关的类放入到Jar包中(比如hadoop包中),然后再次运行,则没问题了。

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hadoop reduce > copy reduce停止

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今天hadoop在跑mapreduce的时候碰到了一个非常奇怪的错误,那就是map很快跑完了100%,但reduce总是卡在45%左右不能继续运行下去,后来去查,发现有的子节点的hosts配置中少了几个子节点,少的几个子节点是后来新加入到集群中的,在配置的时候原先的子节点中的hosts忘记了加入这几个新的子节点,然后将缺少的的子节点加入到各个子节点的hosts文件中,再运行mapreduce,一切就都正常了!

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Hadoop错误:Incompatible namespaceIDs

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Incompatible namespaceIDs in dfs/data: namenode namespaceID = 1185020605; datanode namespaceID = 1519546938

这种错误往往出现在Hadoop的主节点重新格式化,而子节点并没有进行相应的更新所致。

这种方式往往有两种方式来予以解决,第一种是停掉集群,将子节点下的data目录删除掉,然后将子节点重新格式化,然后再重启集群。第二种方式是在子节点的目录<dfs.data.dir>/data/current下的VERSION文件,手动地进行修改,如下:

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hadoop和hbase节点添加和单独重启

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有时候hadoop或hbase集群运行时间久了后,某些节点就会失效,这个时候如果不想重启整个集群(这种情况在很多情况下已经不被允许),这个时候可以单独重启失效节点。

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HBASE ERROR:Failed setting up proxy interface org.apache.hadoop.hbase.ipc.HRegionInterface

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出现如题的错误原因都可能与Hosts文件配置有关。我改过其中一个,改过后错误便消失,HBase便可用了。

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TaskTracker: Cannot start task tracker because Cannot assign requested address

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在Hadoop集群配置中,只要在配置文件中稍不留神配错一个属性,就会报一些让你非常头疼的问题,而这种情况还是比较普遍的,因为我们往往是配完一个节点后,会将其配置文件拷贝到另一个节点,稍微做下修改,但往往在修改的过程中我们的某个属性会忘记了修改,而导致出现一些很意想不到的错误。

这里就记录一个在Hadoop集群启动过程中出现的错误,某一个节点的TaskTracker死活启动不了(其它节点却都没问题),报错如下: 继续阅读“TaskTracker: Cannot start task tracker because Cannot assign requested address”