[jira] [Closed] (SPARK-8892) Column.cast(LongType) does not work for large values

["Reynold Xin (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-8892?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Reynold Xin closed SPARK-8892.
------------------------------
       Resolution: Duplicate
    Fix Version/s: 1.5.0
                   1.4.2

Going to close this one since it's now fixed, both in branch-1.4 and master, which means it will be fixed in 1.4.2 and 1.5.0.


> Column.cast(LongType) does not work for large values
> ----------------------------------------------------
>
>                 Key: SPARK-8892
>                 URL: https://issues.apache.org/jira/browse/SPARK-8892
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>    Affects Versions: 1.4.0
>            Reporter: Jason Moore
>             Fix For: 1.4.2, 1.5.0
>
>
> It seems that casting a column from String to Long seems to go through an intermediate step of being cast to a Double (hits Cast.scala line 328 in castToDecimal).  The result is that for large values, the wrong value is returned.
> This test reveals this bug:
> {code:java}
> import org.apache.spark.sql.types._
> import org.apache.spark.sql.{Row, SQLContext}
> import org.apache.spark.{SparkConf, SparkContext}
> import org.scalatest.FlatSpec
> import scala.util.Random
> class DataFrameCastBug extends FlatSpec {
>   "DataFrame" should "cast StringType to LongType correctly" in {
>     val sc = new SparkContext(new SparkConf().setMaster("local").setAppName("app"))
>     val qc = new SQLContext(sc)
>     val values = Seq.fill(100000)(Random.nextLong)
>     val source = qc.createDataFrame(
>       sc.parallelize(values.map(v => Row(v))),
>       StructType(Seq(StructField("value", LongType))))
>     val result = source.select(source("value"), source("value").cast(StringType).cast(LongType).as("castValue"))
>     assert(result.where(result("value") !== result("castValue")).count() === 0)
>   }
> }
> {code}



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