Hyukjin Kwon created SPARK-21677:
------------------------------------

             Summary: json_tuple throws NullPointException when column is null 
as string type.
                 Key: SPARK-21677
                 URL: https://issues.apache.org/jira/browse/SPARK-21677
             Project: Spark
          Issue Type: Bug
          Components: SQL
    Affects Versions: 2.3.0
            Reporter: Hyukjin Kwon
            Priority: Minor


I was testing {{json_tuple}} before using this to extract values from JSONs in 
my testing cluster but I found it could actually throw  {{NullPointException}} 
as below sometimes:

{code}
scala> Seq(("""{"Hyukjin": 224, "John": 
1225}""")).toDS.selectExpr("json_tuple(value, trim(' Hyukjin    '))").show()
+---+
| c0|
+---+
|224|
+---+

scala> Seq(("""{"Hyukjin": 224, "John": 
1225}""")).toDS.selectExpr("json_tuple(value, trim(' Jackson    '))").show()
+----+
|  c0|
+----+
|null|
+----+

scala> Seq(("""{"Hyukjin": 224, "John": 
1225}""")).toDS.selectExpr("json_tuple(value, trim(null))").show()
...
java.lang.NullPointerException
        at 
org.apache.spark.sql.catalyst.expressions.JsonTuple$$anonfun$foldableFieldNames$1.apply(jsonExpressions.scala:367)
        at 
org.apache.spark.sql.catalyst.expressions.JsonTuple$$anonfun$foldableFieldNames$1.apply(jsonExpressions.scala:366)
        at 
scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
        at 
scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
        at 
scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
        at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48)
        at scala.collection.TraversableLike$class.map(TraversableLike.scala:234)
        at scala.collection.AbstractTraversable.map(Traversable.scala:104)
        at 
org.apache.spark.sql.catalyst.expressions.JsonTuple.foldableFieldNames$lzycompute(jsonExpressions.scala:366)
        at 
org.apache.spark.sql.catalyst.expressions.JsonTuple.foldableFieldNames(jsonExpressions.scala:365)
        at 
org.apache.spark.sql.catalyst.expressions.JsonTuple.constantFields$lzycompute(jsonExpressions.scala:373)
        at 
org.apache.spark.sql.catalyst.expressions.JsonTuple.constantFields(jsonExpressions.scala:373)
        at 
org.apache.spark.sql.catalyst.expressions.JsonTuple.org$apache$spark$sql$catalyst$expressions$JsonTuple$$parseRow(jsonExpressions.scala:417)
        at 
org.apache.spark.sql.catalyst.expressions.JsonTuple$$anonfun$eval$4.apply(jsonExpressions.scala:401)
        at 
org.apache.spark.sql.catalyst.expressions.JsonTuple$$anonfun$eval$4.apply(jsonExpressions.scala:400)
        at org.apache.spark.util.Utils$.tryWithResource(Utils.scala:2559)
        at 
org.apache.spark.sql.catalyst.expressions.JsonTuple.eval(jsonExpressions.scala:400)
{code}

It sounds we should show explicit error messages or return {{NULL}}.




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