[jira] [Created] (SPARK-36453) Improve consistency processing floating point special literals

["Pablo Langa Blanco (Jira)" <ji...@apache.org>]

Pablo Langa Blanco created SPARK-36453:
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             Summary: Improve consistency processing floating point special literals
                 Key: SPARK-36453
                 URL: https://issues.apache.org/jira/browse/SPARK-36453
             Project: Spark
          Issue Type: Improvement
          Components: SQL
    Affects Versions: 3.3.0
            Reporter: Pablo Langa Blanco


Special literal in floating point are not consistent between cast and json expressions

 
{code:java}
scala> spark.sql("SELECT CAST('+Inf' as Double)").show
+--------------------+                                                        
|CAST(+Inf AS DOUBLE)|
+--------------------+
|            Infinity|
+--------------------+
{code}
 
{code:java}
scala> val schema =  StructType(StructField("a", DoubleType) :: Nil)

scala> Seq("""{"a" : "+Inf"}""").toDF("col1").select(from_json(col("col1"),schema)).show

+---------------+
|from_json(col1)|
+---------------+
|         {null}|
+---------------+

scala> Seq("""{"a" : "+Inf"}""").toDF("col").withColumn("col", from_json(col("col"), StructType.fromDDL("a DOUBLE"))).write.json("/tmp/jsontests12345")
scala> spark.read.schema(StructType(Seq(StructField("col",schema)))).json("/tmp/jsontests12345").show

+------+
|   col|
+------+
|{null}|
+------+

{code}
 

 



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