[jira] [Commented] (SPARK-3035) Wrong example with SparkContext.addFile

["Apache Spark (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/SPARK-3035?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14096773#comment-14096773 ] 

Apache Spark commented on SPARK-3035:
-------------------------------------

User 'iAmGhost' has created a pull request for this issue:
https://github.com/apache/spark/pull/1942

> Wrong example with SparkContext.addFile
> ---------------------------------------
>
>                 Key: SPARK-3035
>                 URL: https://issues.apache.org/jira/browse/SPARK-3035
>             Project: Spark
>          Issue Type: Documentation
>          Components: PySpark
>    Affects Versions: 1.0.2
>            Reporter: Daehan Kim
>            Priority: Trivial
>              Labels: documentation
>             Fix For: 1.0.2
>
>
> {code:title="context.py"}
> def addFile(self, path):
>     """
>     ...
>     >>> from pyspark import SparkFiles
>     >>> path = os.path.join(tempdir, "test.txt")
>     >>> with open(path, "w") as testFile:
>     ...    testFile.write("100")
>     >>> sc.addFile(path)
>     >>> def func(iterator):
>     ...    with open(SparkFiles.get("test.txt")) as testFile:
>     ...        fileVal = int(testFile.readline())
>     ...        return [x * 100 for x in iterator]
>     >>> sc.parallelize([1, 2, 3, 4]).mapPartitions(func).collect()
>     [100, 200, 300, 400]
>     """
> {code}
> This is example that write 100 to temp file and distribute it and use it's value when multiplying values(to see if nodes can read distributed file)
> But look this lines, result will never be effected by distributed file:
> {code}
>     ...        fileVal = int(testFile.readline())
>     ...        return [x * 100 for x in iterator]
> {code}
> I'm sure this code was intended as like this: 
> {code}
>     ...        fileVal = int(testFile.readline())
>     ...        return [x * fileVal for x in iterator]
> {code}



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