[jira] [Commented] (SPARK-26943) Weird behaviour with `.cache()`

["Will Uto (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/SPARK-26943?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16782418#comment-16782418 ] 

Will Uto commented on SPARK-26943:
----------------------------------

Thanks for explanation [~srowen], makes sense - I think this is why I couldn't reproduce it locally (on a smaller dataset).

Out of curiosity, is there a way to run a newer version of Spark on a cluster e.g. within Python Virtual Environments, or do I have to upgrade an entire cluster?

> Weird behaviour with `.cache()`
> -------------------------------
>
>                 Key: SPARK-26943
>                 URL: https://issues.apache.org/jira/browse/SPARK-26943
>             Project: Spark
>          Issue Type: Bug
>          Components: PySpark
>    Affects Versions: 2.1.0
>            Reporter: Will Uto
>            Priority: Major
>
>  
> {code:java}
> sdf.count(){code}
>  
> works fine. However:
>  
> {code:java}
> sdf = sdf.cache()
> sdf.count()
> {code}
>  does not, and produces error
> {code:java}
> Py4JJavaError: An error occurred while calling o314.count.
> : org.apache.spark.SparkException: Job aborted due to stage failure: Task 75 in stage 8.0 failed 4 times, most recent failure: Lost task 75.3 in stage 8.0 (TID 438, uat-datanode-02, executor 1): java.text.ParseException: Unparseable number: "(N/A)"
> 	at java.text.NumberFormat.parse(NumberFormat.java:350)
> {code}



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