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https://issues.apache.org/jira/browse/SPARK-19727?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15885012#comment-15885012
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Wojciech Szymanski commented on SPARK-19727:
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I can look at this
> Spark SQL round function modifies original column
> -------------------------------------------------
>
> Key: SPARK-19727
> URL: https://issues.apache.org/jira/browse/SPARK-19727
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 2.1.0
> Reporter: Sławomir Bogutyn
> Priority: Minor
>
> {code:java}
> import org.apache.spark.sql.functions
> case class MyRow(value : BigDecimal)
> val values = List(MyRow(BigDecimal.valueOf(1.23456789)))
> val dataFrame = spark.createDataFrame(values)
> dataFrame.show()
> dataFrame.withColumn("value_rounded",
> functions.round(dataFrame.col("value"))).show()
> {code}
> This produces output:
> {noformat}
> +--------------------+
> | value|
> +--------------------+
> |1.234567890000000000|
> +--------------------+
> +--------------------+-------------+
> | value|value_rounded|
> +--------------------+-------------+
> |1.000000000000000000| 1|
> +--------------------+-------------+
> {noformat}
> Same problem occurs when I use round function to filter dataFrame.
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