[jira] [Commented] (FLINK-2186) Rework CSV import to support very wide files

["ASF GitHub Bot (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/FLINK-2186?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15859174#comment-15859174 ] 

ASF GitHub Bot commented on FLINK-2186:
---------------------------------------

Github user ex00 commented on the issue:

    https://github.com/apache/flink/pull/3012
  
    Thanks for work  @tonycox.
    The PR looks good to me. I left a few minor comments about PR.
    
    What do you mean about test negative case? If typeMap does not match with fields type in file for example


> Rework CSV import to support very wide files
> --------------------------------------------
>
>                 Key: FLINK-2186
>                 URL: https://issues.apache.org/jira/browse/FLINK-2186
>             Project: Flink
>          Issue Type: Improvement
>          Components: Machine Learning Library, Scala API
>            Reporter: Theodore Vasiloudis
>            Assignee: Anton Solovev
>
> In the current readVcsFile implementation, importing CSV files with many columns can become from cumbersome to impossible.
> For example to import an 11 column file we need to write:
> {code}
> val cancer = env.readCsvFile[(String, String, String, String, String, String, String, String, String, String, String)]("/path/to/breast-cancer-wisconsin.data")
> {code}
> For many use cases in Machine Learning we might have CSV files with thousands or millions of columns that we want to import as vectors.
> In that case using the current readCsvFile method becomes impossible.
> We therefore need to rework the current function, or create a new one that will allow us to import CSV files with an arbitrary number of columns.



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