Jeff Zhang created SPARK-11725:
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Summary: Let UDF to handle null value
Key: SPARK-11725
URL: https://issues.apache.org/jira/browse/SPARK-11725
Project: Spark
Issue Type: Improvement
Components: SQL
Reporter: Jeff Zhang
I notice that currently spark will take the long field as -1 if it is null.
Here's the sample code.
{code}
sqlContext.udf.register("f", (x:Int)=>x+1)
df.withColumn("age2", expr("f(age)")).show()
//////////////// Output ///////////////////////
+----+-------+----+
| age| name|age2|
+----+-------+----+
|null|Michael| 0|
| 30| Andy| 31|
| 19| Justin| 20|
+----+-------+----+
{code}
I think for the null value we have 3 options
* Use a special value to represent it (what spark does now)
* Always return null if the udf input has null value argument
* Let udf itself to handle null
I would prefer the third option
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