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https://issues.apache.org/jira/browse/SPARK-14246?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15216734#comment-15216734
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Jim Powers commented on SPARK-14246:
------------------------------------
It appears that this is a Scala problem and not a spark one.
{noformat}
scala -Yrepl-class-based
Welcome to Scala 2.11.8 (Java HotSpot(TM) 64-Bit Server VM, Java 1.8.0_74).
Type in expressions for evaluation. Or try :help.
scala> :load Fail.scala
Loading Fail.scala...
X: Serializable{def getArray(n: Int): Array[Double]; def multiplySum(x:
Double,v: Seq[Double]): Double} = $anon$1@5ddf0d24
scala> val a = X.getArray(100)
warning: there was one feature warning; re-run with -feature for details
a: Array[Double] = Array(0.6445967025789217, 0.8356433165638456,
0.9050186287112574, 0.06344554850936357, 0.008363070900988756,
0.6593626537474886, 0.7424265307039932, 0.5035629973234215, 0.5510831160354674,
0.37366654438205593, 0.33299751842582703, 0.3800633883472283,
0.4153963387304084, 0.2752468331316783, 0.8699452196820426,
0.31938530945559984, 0.7990568815957724, 0.6875841747139724,
0.31949965197609675, 0.026911873556428878, 0.2616536698127736,
0.5580118021155783, 0.28345994848845435, 0.1773433165304532,
0.2549417030032525, 0.9777692443616465, 0.6296846343712603, 0.8589339648876033,
0.7020098253707141, 0.8518829567943531, 0.41154622619731374,
0.1075129613308311, 0.8499252434316056, 0.3841876768177086, 0.137415801614582,
0.27030938222499756, 0.5511585560527115, 0.26252884257087217, ...
scala> X = null
X: Serializable{def getArray(n: Int): Array[Double]; def multiplySum(x:
Double,v: Seq[Double]): Double} = null
scala> :load Fail.scala
Loading Fail.scala...
X: Serializable{def getArray(n: Int): Array[Double]; def multiplySum(x:
Double,v: Seq[Double]): Double} = $anon$1@52c8295b
scala> X
res0: Serializable{def getArray(n: Int): Array[Double]; def multiplySum(x:
Double,v: Seq[Double]): Double} = null
{noformat}
So, it appears any anonymous class with 2 or more members may exhibit this
problem in the presence of {{-Yrepl-class-based}}.
Closing this issue.
> 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: Fail.scala, 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}
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