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Posted to issues@spark.apache.org by "Apache Spark (Jira)" <ji...@apache.org> on 2021/08/15 23:13:00 UTC
[jira] [Assigned] (SPARK-36453) Improve consistency processing
floating point special literals
[ https://issues.apache.org/jira/browse/SPARK-36453?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Apache Spark reassigned SPARK-36453:
------------------------------------
Assignee: Apache Spark
> 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
> Assignee: Apache Spark
> Priority: Minor
>
> 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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