[jira] [Comment Edited] (SPARK-32051) Dataset.foreachPartition returns object

["Frank Oosterhuis (Jira)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/SPARK-32051?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17143875#comment-17143875 ] 

Frank Oosterhuis edited comment on SPARK-32051 at 6/24/20, 2:37 PM:
--------------------------------------------------------------------

This is fine: 
{code:java}
spark.range(100)
  .select(
    concat(lit("d"), col("id")).as("db"),
    concat(lit("t"), col("id")).as("table")
  )
  .foreach((r : Row) => {
    val sql = "drop table %s.%s".format(r.getAs("db"), r.getAs("table"))
    println(sql)
  })
{code}
 This breaks:
{code:java}
spark.range(100)
  .select(
    concat(lit("d"), col("id")).as("db"),
    concat(lit("t"), col("id")).as("table")
  )
  .foreach((r : Row) => {
    val sql = "drop table %s.%s".format(r.getAs("db"), r.getAs("table"))
    spark.sql(sql)
  })
{code}

My work around for now: map the strings and collect, then run the foreach on the resulting array.


was (Author: frankivo):
This is fine: 
{code:java}
spark.range(100)
  .select(
    concat(lit("d"), col("id")).as("db"),
    concat(lit("t"), col("id")).as("table")
  )
  .foreach((r : Row) => {
    val sql = "drop table %s.%s".format(r.getAs("db"), r.getAs("table"))
    println(sql)
  })
{code}
 This breaks:
{code:java}
spark.range(100)
  .select(
    concat(lit("d"), col("id")).as("db"),
    concat(lit("t"), col("id")).as("table")
  )
  .foreach((r : Row) => {
    val sql = "drop table %s.%s".format(r.getAs("db"), r.getAs("table"))
    spark.sql(sql)
  })
{code}

> Dataset.foreachPartition returns object
> ---------------------------------------
>
>                 Key: SPARK-32051
>                 URL: https://issues.apache.org/jira/browse/SPARK-32051
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>    Affects Versions: 3.0.0
>            Reporter: Frank Oosterhuis
>            Priority: Major
>
> I'm trying to map values from the Dataset[Row], but since 3.0.0 this fails.
> In 3.0.0 I'm dealing with an error: "Error:(28, 38) value map is not a member of Object"
>  
> This is the simplest code that works in 2.4.x, but fails in 3.0.0:
> {code:scala}
> spark.range(100)
>   .repartition(10)
>   .foreachPartition(part => println(part.toList))
> {code}



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