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https://issues.apache.org/jira/browse/SPARK-15678?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15884061#comment-15884061
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Liang-Chi Hsieh commented on SPARK-15678:
-----------------------------------------

[~kiszk][~gen] I created SPARK-19736 for the reported issue. A PR is also 
submitted.

> Not use cache on appends and overwrites
> ---------------------------------------
>
>                 Key: SPARK-15678
>                 URL: https://issues.apache.org/jira/browse/SPARK-15678
>             Project: Spark
>          Issue Type: Bug
>    Affects Versions: 2.0.0
>            Reporter: Sameer Agarwal
>            Assignee: Sameer Agarwal
>             Fix For: 2.0.0
>
>
> SparkSQL currently doesn't drop caches if the underlying data is overwritten.
> {code}
> val dir = "/tmp/test"
> sqlContext.range(1000).write.mode("overwrite").parquet(dir)
> val df = sqlContext.read.parquet(dir).cache()
> df.count() // outputs 1000
> sqlContext.range(10).write.mode("overwrite").parquet(dir)
> sqlContext.read.parquet(dir).count() // outputs 1000 instead of 10 <---- We 
> are still using the cached dataset
> {code}



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