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https://issues.apache.org/jira/browse/SPARK-24165?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16527556#comment-16527556
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Marek Novotny commented on SPARK-24165:
---------------------------------------
It seems that Spark is not able resolve nullability for nested types correctly.
{{val rows = new util.ArrayList[Row]()}}
{{rows.add(Row(true, ("1", 1)))}}
{{rows.add(Row(false, (null, 2)))}}
{{val schema = StructType(Seq(}}
{{ StructField("cond", BooleanType, false),}}
{{ StructField("s", StructType(Seq(}}
{{ StructField("val1", StringType, true),}}
{{ StructField("val2", IntegerType, false)}}
{{ )))}}
{{))}}
{{val df = spark.createDataFrame(rows, schema)}}
{{df.select(when('cond, expr("struct('x' as val1, 10 as val2)")).otherwise('s)
as "result").printSchema()}}
Result:
{{root}}
{{ |-- result: struct (nullable = true)}}
{{ | |-- val1: string (nullable = *{color:#FF0000}false{color}*)}}
{{ | |-- val2: integer (nullable = false)}}
I will take a look at the problem.
> UDF within when().otherwise() raises NullPointerException
> ---------------------------------------------------------
>
> Key: SPARK-24165
> URL: https://issues.apache.org/jira/browse/SPARK-24165
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 2.2.0
> Reporter: Jingxuan Wang
> Priority: Major
>
> I have a UDF which takes java.sql.Timestamp and String as input column type
> and returns an Array of (Seq[case class], Double) as output. Since some of
> values in input columns can be nullable, I put the UDF inside a
> when($input.isNull, null).otherwise(UDF) filter. Such function works well
> when I test in spark shell. But running as a scala jar in spark-submit with
> yarn cluster mode, it raised NullPointerException which points to the UDF
> function. If I remove the when().otherwsie() condition, but put null check
> inside the UDF, the function works without issue in spark-submit.
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