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From "sam (JIRA)" <j...@apache.org>
Subject [jira] [Created] (SPARK-22225) wholeTextFilesIterators
Date Mon, 09 Oct 2017 12:16:00 GMT
sam created SPARK-22225:
---------------------------

             Summary: 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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