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https://issues.apache.org/jira/browse/SPARK-18772?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Wenchen Fan resolved SPARK-18772.
---------------------------------
Resolution: Fixed
Fix Version/s: 2.2.0
Issue resolved by pull request 17956
[https://github.com/apache/spark/pull/17956]
> 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
> 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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