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https://issues.apache.org/jira/browse/SPARK-26943?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16780751#comment-16780751
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Bryan Cutler commented on SPARK-26943:
--------------------------------------
If you can try to reproduce locally, that would be ideal. Maybe you could take
a sample of your dataset? I wouldn't recommend trying out different versions in
your 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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