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https://issues.apache.org/jira/browse/SPARK-18772?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Wenchen Fan reassigned SPARK-18772:
-----------------------------------

    Assignee: Hyukjin Kwon

> Unnecessary conversion try for special floats in JSON
> -----------------------------------------------------
>
>                 Key: SPARK-18772
>                 URL: https://issues.apache.org/jira/browse/SPARK-18772
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>    Affects Versions: 2.0.2, 2.2.0
>            Reporter: Nathan Howell
>            Assignee: Hyukjin Kwon
>            Priority: Minor
>             Fix For: 2.2.0
>
>
> It looks we can avoid some cases for unnecessary conversion try in special 
> floats in JSON.
> {code}
> scala> import org.apache.spark.sql.types._
> import org.apache.spark.sql.types._
> scala> spark.read.schema(StructType(Seq(StructField("a", 
> DoubleType)))).option("mode", "FAILFAST").json(Seq("""{"a": 
> "nan"}""").toDS).show()
> 17/05/12 11:30:41 ERROR Executor: Exception in task 0.0 in stage 2.0 (TID 2)
> java.lang.NumberFormatException: For input string: "nan"
> ...
> {code}



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