Pablo Langa Blanco created SPARK-36453:
------------------------------------------
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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