[
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}
--
This message was sent by Atlassian JIRA
(v6.3.15#6346)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org
