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

["Dong Lin (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/FLINK-2186?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Dong Lin updated FLINK-2186:
----------------------------
    Component/s:     (was: Library / Machine Learning)

> 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: API / Scala
>            Reporter: Theodore Vasiloudis
>            Priority: Not a Priority
>              Labels: auto-deprioritized-major, auto-deprioritized-minor, auto-unassigned, pull-request-available
>          Time Spent: 10m
>  Remaining Estimate: 0h
>
> 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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