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我的数据格式使用\ 0而不是换行符。因此默认的hadoop textLine阅读器不起作用。
如何配置它以读取由特殊字符分隔的行?
如果无法配置LineReader,则可能可以应用特定的流处理器(tr“ \ 0”“ \ n”)不确定如何执行此操作。 
您可以编写自己的InputFormat类,该类将数据拆分为\ 0而不是\ n。有关如何执行此操作的演练,请在此处检查:http://developer.yahoo.com/hadoop/tutorial/module5.html#fileformat
其要点是,您需要继承默认的InputFormat类或其任何子类,并使用自定义规则定义自己的RecordReader。有关更多信息,请参考InputFormat文档。
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为此,有一个“ textinputformat.record.delimiter”配置属性。您可以通过将此属性值更改为“ \ 0”来更改默认的EOL(“ \ n”)分隔符。
有关更多信息,请访问此处:http://amalgjose.wordpress.com/2013/05/27/custom-text-input-format-record-delimiter-for-hadoop
关于更改spark中的默认定界符,也存在类似的问题,这可能也有用:在spark中设置textinputformat.record.delimiter
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如何使用TextDelimited方案起作用? http://docs.cascading.org/cascading/1.2/javadoc/cascading/scheme/TextDelimited.html
这样就不必编写自己的InputFormat等。
分隔文本的示例在
https://github.com/Cascading/Im Patient / wiki / Part-2
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