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https://issues.apache.org/jira/browse/MAPREDUCE-2208?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12967080#action_12967080
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Lance Norskog commented on MAPREDUCE-2208:
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Artfully phrased. Ah, the virtues of the passive voice.
I only learned enough file i/o to make this work. And I only work in small
development datasets, not production. So, no, it never impinged that it would
need more stuff to support multifile directories. This is in hadoop-20.0.2. I
work in Mahout, not Hadoop. I'm not upgrading Hadoop until Mahout makes me.
How did you envision this modification? It looks like the RecordReader would be
public and would need a constructor matching this line:
org.apache.hadoop.mapred.lib.CombineFileRecordReader<K, V>:144
curReader = rrConstructor.newInstance(new Object []
{split, jc, reporter, Integer.valueOf(idx)});
> Flexible CSV text parser InputFormat
> ------------------------------------
>
> Key: MAPREDUCE-2208
> URL: https://issues.apache.org/jira/browse/MAPREDUCE-2208
> Project: Hadoop Map/Reduce
> Issue Type: New Feature
> Reporter: Lance Norskog
> Priority: Trivial
> Attachments: CSVTextInputFormat.java, TestCSVTextFormat.java
>
>
> CSVTextInputFormat is a configurable CSV parser tuned to most of the
> csv-style datasets I've found. The Hadoop samples I've seen all
> FileInputFormat and Mapper<LongWritable,Text>. They drop the Longwritable key
> and parse the Text value as a CSV line. But, they are all custom-coded for
> the format.
> CSVTextInputFormat takes any csv-encoded file and rearrange the fields into
> the format required by a Mapper. You can drop fields & rearrange them. There
> is also a random sampling option to make training/test runs easier.
> Attached are CSVTextInputFormat.java and a unit test for it. Both go into
> org.apache.hadoop.mapreduce.lib.input under src/java and test/mapred/src.
> This is compiled against hadoop-0.0.20.
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