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https://issues.apache.org/jira/browse/FLINK-2203?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14584567#comment-14584567
 ] 

ASF GitHub Bot commented on FLINK-2203:
---------------------------------------

Github user aljoscha commented on a diff in the pull request:

    https://github.com/apache/flink/pull/831#discussion_r32369781
  
    --- Diff: 
flink-staging/flink-table/src/main/scala/org/apache/flink/api/table/typeinfo/RowSerializer.scala
 ---
    @@ -74,11 +79,16 @@ class RowSerializer(fieldSerializers: 
Array[TypeSerializer[Any]])
     
       override def serialize(value: Row, target: DataOutputView) {
         val len = fieldSerializers.length
    -    var i = 0
    -    while (i < len) {
    -      val serializer = fieldSerializers(i)
    -      serializer.serialize(value.productElement(i), target)
    -      i += 1
    +    (0 to len - 1).foreach {
    +      index =>
    +        val o: AnyRef = value.productElement(index).asInstanceOf[AnyRef]
    +        if (o == null) {
    +          target.writeBoolean(true)
    +        } else {
    +          target.writeBoolean(false)
    +          val serializer = fieldSerializers(index)
    +          serializer.serialize(value.productElement(index), target)
    +        }
    --- End diff --
    
    Could you please change this back to the simple while loop. I know that 
using the fancy Scala features is tempting but the performance of a simple 
while loop should be better than creating a range and iterating over it using 
foreach.


> Add Support for Null-Values in RowSerializer
> --------------------------------------------
>
>                 Key: FLINK-2203
>                 URL: https://issues.apache.org/jira/browse/FLINK-2203
>             Project: Flink
>          Issue Type: Improvement
>          Components: Table API
>            Reporter: Aljoscha Krettek
>            Assignee: Shiti Saxena
>            Priority: Minor
>              Labels: Starter
>
> This would be a start towards proper handling of null values. We would still 
> need to add support for null values in aggregations.



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