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https://issues.apache.org/jira/browse/SPARK-22225?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hyukjin Kwon resolved SPARK-22225.
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Resolution: Won't Fix
I think we are able to do it and don't think it's worth. Let me resolve it for
now.
> wholeTextFilesIterators
> -----------------------
>
> Key: SPARK-22225
> URL: https://issues.apache.org/jira/browse/SPARK-22225
> Project: Spark
> Issue Type: New Feature
> Components: Spark Core
> Affects Versions: 2.2.0
> Reporter: sam
>
> It is a very common use case to want to preserve a path -> file mapping in an
> RDD, or read an entire file in one go. Especially for unstructured data and
> ETL.
> Currently wholeTextFiles is the goto method for this, but it read the entire
> file into memory, which is sometimes an issue (see SPARK-18965). It also
> precludes the option to lazily process files.
> It would be nice to have a method with the following signature:
> {code}
> def wholeTextFilesIterators(
> path: String,
> minPartitions: Int = defaultMinPartitions,
> delimiter: String = "\n"): RDD[(String, Iterator[String])]
> {code}
> Where each `Iterator[String]` is a lazy file iterator where each string is
> delimited by the `delimiter` field.
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