[
https://issues.apache.org/jira/browse/FLINK-2186?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14596366#comment-14596366
]
Theodore Vasiloudis commented on FLINK-2186:
--------------------------------------------
That's correct, readTextFile is probably better for those cases. Still the
requirement to provide the complete type even for CSV files with 5-6 files
becomes cumbersone.
> 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
> Fix For: 0.10
>
>
> 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.
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
