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https://issues.apache.org/jira/browse/SPARK-18284?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Reynold Xin updated SPARK-18284:
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Summary: Scheme of DataFrame generated from RDD is different between master
and 2.0 (was: Scheme of DataFrame generated from RDD is diffrent between
master and 2.0)
> Scheme of DataFrame generated from RDD is different between master and 2.0
> --------------------------------------------------------------------------
>
> Key: SPARK-18284
> URL: https://issues.apache.org/jira/browse/SPARK-18284
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 2.1.0, 2.2.0
> Reporter: Kazuaki Ishizaki
> Assignee: Kazuaki Ishizaki
> Fix For: 2.2.0
>
>
> When the following program is executed, a schema of dataframe is different
> among master, branch 2.0, and branch 2.1. The result should be false.
> {code:java}
> val df = sparkContext.parallelize(1 to 8, 1).toDF()
> df.printSchema
> df.filter("value > 4").count
> === master ===
> root
> |-- value: integer (nullable = true)
> === branch 2.1 ===
> root
> |-- value: integer (nullable = true)
> === branch 2.0 ===
> root
> |-- value: integer (nullable = false)
> {code}
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