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Sean Owen commented on SPARK-14246: ----------------------------------- I suspect this ends up being some classloader issue, but I can't immediately see how. The spark shell is the Scala shell in 2.11 for most intents and purposes, so I doubt there's a Spark-specific issue there per se if the Scala shell does what you expect. > vars not updated after Scala script reload > ------------------------------------------ > > Key: SPARK-14246 > URL: https://issues.apache.org/jira/browse/SPARK-14246 > Project: Spark > Issue Type: Bug > Components: Spark Shell > Affects Versions: 1.6.0, 1.6.1, 2.0.0 > Reporter: Jim Powers > Attachments: Null.scala, reproduce_transient_npe.scala > > > Attached are two scripts. The problem only exhibits itself with Spark 1.6.0, > 1.6.1, and 2.0.0 using Scala 2.11. Scala 2.10 does not exhibit this problem. > With the Regular Scala 2.11(.7) REPL: > {noformat} > scala> :load reproduce_transient_npe.scala > Loading reproduce_transient_npe.scala... > X: Serializable{val cf: Double; def getArray(n: Int): Array[Double]; def > multiplySum(x: Double,v: org.apache.spark.rdd.RDD[Double]): Double} = > $anon$1@4149c063 > scala> X > res0: Serializable{val cf: Double; def getArray(n: Int): Array[Double]; def > multiplySum(x: Double,v: org.apache.spark.rdd.RDD[Double]): Double} = > $anon$1@4149c063 > scala> val a = X.getArray(10) > warning: there was one feature warning; re-run with -feature for details > a: Array[Double] = Array(0.1701063617079236, 0.17570862034857437, > 0.6065851472098629, 0.4683069994589304, 0.35194859652378363, > 0.04033043823203897, 0.11917887149548367, 0.540367871104426, > 0.18544859881040276, 0.7236380062803334) > scala> X = null > X: Serializable{val cf: Double; def getArray(n: Int): Array[Double]; def > multiplySum(x: Double,v: org.apache.spark.rdd.RDD[Double]): Double} = null > scala> :load reproduce_transient_npe.scala > Loading reproduce_transient_npe.scala... > X: Serializable{val cf: Double; def getArray(n: Int): Array[Double]; def > multiplySum(x: Double,v: org.apache.spark.rdd.RDD[Double]): Double} = > $anon$1@5860f3d7 > scala> X > res1: Serializable{val cf: Double; def getArray(n: Int): Array[Double]; def > multiplySum(x: Double,v: org.apache.spark.rdd.RDD[Double]): Double} = > $anon$1@5860f3d7 > {noformat} > However, from within the Spark shell (Spark 1.6.0, Scala 2.11.7): > {noformat} > scala> :load reproduce_transient_npe.scala > Loading reproduce_transient_npe.scala... > X: Serializable{val cf: Double; def getArray(n: Int): Array[Double]; def > multiplySum(x: Double,v: org.apache.spark.rdd.RDD[Double]): Double} = > $anon$1@750e2d33 > scala> val a = X.getArray(100) > warning: there was one feature warning; re-run with -feature for details > a: Array[Double] = Array(0.6330055191546612, 0.017865502179445936, > 0.6334775064489349, 0.9053929733525056, 0.7648311134918273, > 0.5423177955113584, 0.5164344368587143, 0.420054677669768, > 0.7842112717076851, 0.2098345684721057, 0.7925640951404774, > 0.5604706596425998, 0.8104403239147542, 0.7567005967624031, > 0.5221119883682028, 0.15766763970350484, 0.18693986227881698, > 0.7475065360095031, 0.7766720862129398, 0.7844069968816826, > 0.27481855935245014, 0.8498855383673198, 0.7496017097461324, > 0.448373036252237, 0.7372969840779748, 0.26381835654323815, > 0.7919478212349927, 0.773136240932345, 0.7441046289586369, > 0.8774372628866844, 0.567152428053003, 0.7256375989728348, 0.654839959050646, > 0.858953671296855, 0.47581286359760067, 0.039760801375546495, > 0.7764165909218748, 0.6882803110041462, 0.8660302... > scala> X = null > X: Serializable{val cf: Double; def getArray(n: Int): Array[Double]; def > multiplySum(x: Double,v: org.apache.spark.rdd.RDD[Double]): Double} = null > scala> X > res0: Serializable{val cf: Double; def getArray(n: Int): Array[Double]; def > multiplySum(x: Double,v: org.apache.spark.rdd.RDD[Double]): Double} = null > scala> :load reproduce_transient_npe.scala > Loading reproduce_transient_npe.scala... > X: Serializable{val cf: Double; def getArray(n: Int): Array[Double]; def > multiplySum(x: Double,v: org.apache.spark.rdd.RDD[Double]): Double} = > $anon$1@48da64f2 > scala> X > res1: Serializable{val cf: Double; def getArray(n: Int): Array[Double]; def > multiplySum(x: Double,v: org.apache.spark.rdd.RDD[Double]): Double} = null > {noformat} > However, if the script being loaded does not refer to an {{RDD}} then the > reload seems to work fine: > {noformat} > scala> :load Null.scala > Loading Null.scala... > X: Serializable{def getArray(n: Int): Array[Double]} = $anon$1@987a0bb > scala> val a = X.getArray(100) > warning: there was one feature warning; re-run with -feature for details > a: Array[Double] = Array(0.1383741239912808, 0.9648059677260219, > 0.9189575875974628, 0.41397368933686096, 0.22201144446192966, > 0.44243794397063774, 0.8784983685464675, 0.1340277408843078, > 0.706263786679972, 0.7950404663404447, 0.24430810245881607, > 0.5770760096607244, 0.2525706003922249, 0.28184231631420364, > 0.008730677363379735, 0.81095065419385, 0.846743885175591, > 0.9332265324673933, 0.7179553831600355, 0.8136413098595938, > 0.815645757370769, 0.6841618927812075, 0.2543696773107338, > 0.1307824382653785, 0.21866878494759168, 0.3565351406594982, > 0.9395305162439264, 0.9817882504819025, 0.8848012359685327, > 0.1256685393081879, 0.9907437397885274, 0.7316579278629144, > 0.960786505005683, 0.05259590461101904, 0.22459289042641883, > 0.482387624551172, 0.2118621194069078, 0.2412102388775842, 0.0423595... > scala> X = null > X: Serializable{def getArray(n: Int): Array[Double]} = null > scala> X > res0: Serializable{def getArray(n: Int): Array[Double]} = null > scala> :load Null.scala > Loading Null.scala... > X: Serializable{def getArray(n: Int): Array[Double]} = $anon$1@bb12f41 > scala> X > res1: Serializable{def getArray(n: Int): Array[Double]} = $anon$1@bb12f41 > {noformat} -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org