[jira] [Commented] (SPARK-18284) Scheme of DataFrame generated from RDD is diffrent between master and 2.0

["Apache Spark (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/SPARK-18284?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15638754#comment-15638754 ] 

Apache Spark commented on SPARK-18284:
--------------------------------------

User 'kiszk' has created a pull request for this issue:
https://github.com/apache/spark/pull/15780

> Scheme of DataFrame generated from RDD is diffrent 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
>
> 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}



--
This message was sent by Atlassian JIRA
(v6.3.4#6332)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org