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https://issues.apache.org/jira/browse/SPARK-16686?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Reynold Xin updated SPARK-16686:
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Fix Version/s: 2.0.1
> Dataset.sample with seed: result seems to depend on downstream usage
> --------------------------------------------------------------------
>
> Key: SPARK-16686
> URL: https://issues.apache.org/jira/browse/SPARK-16686
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 1.6.2, 2.0.0
> Environment: Spark 1.6.2 and Spark 2.0 - RC4
> Standalone
> Single-worker cluster
> Reporter: Joseph K. Bradley
> Assignee: Liang-Chi Hsieh
> Fix For: 2.0.1, 2.1.0
>
> Attachments: DataFrame.sample bug - 2.0.html
>
>
> Summary to reproduce bug:
> * Create a DataFrame DF, and sample it with a fixed seed.
> * Collect that DataFrame -> result1
> * Call a particular UDF on that DataFrame -> result2
> You would expect results 1 and 2 to use the same rows from DF, but they
> appear not to.
> Note: result1 and result2 are both deterministic.
> See the attached notebook for details. Cells in the notebook were executed
> in order.
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