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https://issues.apache.org/jira/browse/MAPREDUCE-2208?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12970370#action_12970370
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Lance Norskog commented on MAPREDUCE-2208:
------------------------------------------
Another use case: one Wikipedia format is:
{code}
1: 1664968
2: 3 747213 1664968 1691047 4095634 5535664
{code}
which would read in as:
{code}
1: 1664968
2: 3
2: 747213
2: 1664968
etc.
{code}
> 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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