[jira] [Resolved] (SPARK-17043) Cannot call zipWithIndex on RDD with more than 200 columns (get wrong result)

["Sean Owen (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-17043?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Sean Owen resolved SPARK-17043.
-------------------------------
    Resolution: Duplicate

> Cannot call zipWithIndex on RDD with more than 200 columns (get wrong result)
> -----------------------------------------------------------------------------
>
>                 Key: SPARK-17043
>                 URL: https://issues.apache.org/jira/browse/SPARK-17043
>             Project: Spark
>          Issue Type: Bug
>          Components: Spark Core
>    Affects Versions: 1.6.2, 2.0.0
>            Reporter: Barry Becker
>
> I have a method that adds a row index column to a dataframe. It only works correctly if the dataframe has less than 200 columns. When more than 200 columns nearly all the data becomes empty (""'s for values).
> {code}
> def zipWithIndex(df: DataFrame, rowIdxColName: String): DataFrame = {
>     val nullable = false
>      df.sparkSession.createDataFrame(
>       df.rdd.zipWithIndex.map{case (row, i) => Row.fromSeq(row.toSeq :+ i)},
>       StructType(df.schema.fields :+ StructField(rowIdxColName, LongType, nullable))
>     )
>   }
> {code}
> This might be related to https://issues.apache.org/jira/browse/SPARK-16664 but I'm not sure. I saw the 200 column threshold and it made me think it might be related. I saw this problem in spark 1.6.2 and 2.0.0. Maybe it is fixed in 2.0.1 (have not tried yet). I have no idea why the 200 column threshold is significant.



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