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https://issues.apache.org/jira/browse/FLINK-2186?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Flink Jira Bot updated FLINK-2186:
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Labels: auto-unassigned pull-request-available stale-major (was:
auto-unassigned pull-request-available)
I am the [Flink Jira Bot|https://github.com/apache/flink-jira-bot/] and I help
the community manage its development. I see this issues has been marked as
Major but is unassigned and neither itself nor its Sub-Tasks have been updated
for 30 days. I have gone ahead and added a "stale-major" to the issue". If this
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> 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, Library / Machine Learning
> Reporter: Theodore Vasiloudis
> Priority: Major
> Labels: auto-unassigned, pull-request-available, stale-major
> 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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