java.lang.Long and scala.Long












1















I don't know what happened in my code...



Logs are here.



[error] blahblahSampleApp.scala:22:53: overloaded method value reduce with alternatives:
[error] (func: org.apache.spark.api.java.function.ReduceFunction[java.lang.Long])java.lang.Long <and>
[error] (func: (java.lang.Long, java.lang.Long) => java.lang.Long)java.lang.Long
[error] cannot be applied to ((java.lang.Long, java.lang.Long) => scala.Long)
[error] val sumHundred = sparkSession.range(start, end).reduce(_ + _)


When I ran this code in scala 2.11.12, spark 2.3.2 it works without any ERROR.

And same code in scala 2.12.7, spark 2.4.0 it doesn't works - what?



Anybody knows about this?



  private val (start, end) = (1, 101)

def main(args: Array[String]): Unit = {
val sumHundred = sparkSession.range(start, end).reduce(_ + _)
logger.debug(f"Sum 1 to 100 = $sumHundred")
close()
}


There's a parent trait that builds sparkSession etc.



What I've tried:




  1. Explicit declaration of type:
    private val (start: Long, end: Long) = ...

  2. Similar things in reduce code.


What I know:
Perfectly compatiable between scala.Long and java.lang.Long










share|improve this question


















  • 1





    As a workaround, maybe you can try passing (a,b) => Long.box(a + b) to reduce instead of _ + _

    – gilad hoch
    Nov 22 '18 at 7:05











  • @giladhoch what the... Thank you SO much you saved my day. I don't even know that Long.box thing.

    – nullmari
    Nov 22 '18 at 7:07











  • @giladhoch Why this happens? What's the difference between _+_ and box?

    – nullmari
    Nov 22 '18 at 7:11






  • 1





    Long.box wraps the primitive Long in the corresponding java Object. Spark API should seamlessly do the conversion for you, but since the error message appears like they don't, it wouldn't hurt to do it yourself. I guess this counts as a bug which you can open an issue for on the spark repo (if doesn't already exist)

    – gilad hoch
    Nov 22 '18 at 15:21






  • 1





    Sure. Glad I could help out :)

    – gilad hoch
    Nov 23 '18 at 8:08
















1















I don't know what happened in my code...



Logs are here.



[error] blahblahSampleApp.scala:22:53: overloaded method value reduce with alternatives:
[error] (func: org.apache.spark.api.java.function.ReduceFunction[java.lang.Long])java.lang.Long <and>
[error] (func: (java.lang.Long, java.lang.Long) => java.lang.Long)java.lang.Long
[error] cannot be applied to ((java.lang.Long, java.lang.Long) => scala.Long)
[error] val sumHundred = sparkSession.range(start, end).reduce(_ + _)


When I ran this code in scala 2.11.12, spark 2.3.2 it works without any ERROR.

And same code in scala 2.12.7, spark 2.4.0 it doesn't works - what?



Anybody knows about this?



  private val (start, end) = (1, 101)

def main(args: Array[String]): Unit = {
val sumHundred = sparkSession.range(start, end).reduce(_ + _)
logger.debug(f"Sum 1 to 100 = $sumHundred")
close()
}


There's a parent trait that builds sparkSession etc.



What I've tried:




  1. Explicit declaration of type:
    private val (start: Long, end: Long) = ...

  2. Similar things in reduce code.


What I know:
Perfectly compatiable between scala.Long and java.lang.Long










share|improve this question


















  • 1





    As a workaround, maybe you can try passing (a,b) => Long.box(a + b) to reduce instead of _ + _

    – gilad hoch
    Nov 22 '18 at 7:05











  • @giladhoch what the... Thank you SO much you saved my day. I don't even know that Long.box thing.

    – nullmari
    Nov 22 '18 at 7:07











  • @giladhoch Why this happens? What's the difference between _+_ and box?

    – nullmari
    Nov 22 '18 at 7:11






  • 1





    Long.box wraps the primitive Long in the corresponding java Object. Spark API should seamlessly do the conversion for you, but since the error message appears like they don't, it wouldn't hurt to do it yourself. I guess this counts as a bug which you can open an issue for on the spark repo (if doesn't already exist)

    – gilad hoch
    Nov 22 '18 at 15:21






  • 1





    Sure. Glad I could help out :)

    – gilad hoch
    Nov 23 '18 at 8:08














1












1








1








I don't know what happened in my code...



Logs are here.



[error] blahblahSampleApp.scala:22:53: overloaded method value reduce with alternatives:
[error] (func: org.apache.spark.api.java.function.ReduceFunction[java.lang.Long])java.lang.Long <and>
[error] (func: (java.lang.Long, java.lang.Long) => java.lang.Long)java.lang.Long
[error] cannot be applied to ((java.lang.Long, java.lang.Long) => scala.Long)
[error] val sumHundred = sparkSession.range(start, end).reduce(_ + _)


When I ran this code in scala 2.11.12, spark 2.3.2 it works without any ERROR.

And same code in scala 2.12.7, spark 2.4.0 it doesn't works - what?



Anybody knows about this?



  private val (start, end) = (1, 101)

def main(args: Array[String]): Unit = {
val sumHundred = sparkSession.range(start, end).reduce(_ + _)
logger.debug(f"Sum 1 to 100 = $sumHundred")
close()
}


There's a parent trait that builds sparkSession etc.



What I've tried:




  1. Explicit declaration of type:
    private val (start: Long, end: Long) = ...

  2. Similar things in reduce code.


What I know:
Perfectly compatiable between scala.Long and java.lang.Long










share|improve this question














I don't know what happened in my code...



Logs are here.



[error] blahblahSampleApp.scala:22:53: overloaded method value reduce with alternatives:
[error] (func: org.apache.spark.api.java.function.ReduceFunction[java.lang.Long])java.lang.Long <and>
[error] (func: (java.lang.Long, java.lang.Long) => java.lang.Long)java.lang.Long
[error] cannot be applied to ((java.lang.Long, java.lang.Long) => scala.Long)
[error] val sumHundred = sparkSession.range(start, end).reduce(_ + _)


When I ran this code in scala 2.11.12, spark 2.3.2 it works without any ERROR.

And same code in scala 2.12.7, spark 2.4.0 it doesn't works - what?



Anybody knows about this?



  private val (start, end) = (1, 101)

def main(args: Array[String]): Unit = {
val sumHundred = sparkSession.range(start, end).reduce(_ + _)
logger.debug(f"Sum 1 to 100 = $sumHundred")
close()
}


There's a parent trait that builds sparkSession etc.



What I've tried:




  1. Explicit declaration of type:
    private val (start: Long, end: Long) = ...

  2. Similar things in reduce code.


What I know:
Perfectly compatiable between scala.Long and java.lang.Long







java scala apache-spark






share|improve this question













share|improve this question











share|improve this question




share|improve this question










asked Nov 22 '18 at 6:46









nullmarinullmari

6516




6516








  • 1





    As a workaround, maybe you can try passing (a,b) => Long.box(a + b) to reduce instead of _ + _

    – gilad hoch
    Nov 22 '18 at 7:05











  • @giladhoch what the... Thank you SO much you saved my day. I don't even know that Long.box thing.

    – nullmari
    Nov 22 '18 at 7:07











  • @giladhoch Why this happens? What's the difference between _+_ and box?

    – nullmari
    Nov 22 '18 at 7:11






  • 1





    Long.box wraps the primitive Long in the corresponding java Object. Spark API should seamlessly do the conversion for you, but since the error message appears like they don't, it wouldn't hurt to do it yourself. I guess this counts as a bug which you can open an issue for on the spark repo (if doesn't already exist)

    – gilad hoch
    Nov 22 '18 at 15:21






  • 1





    Sure. Glad I could help out :)

    – gilad hoch
    Nov 23 '18 at 8:08














  • 1





    As a workaround, maybe you can try passing (a,b) => Long.box(a + b) to reduce instead of _ + _

    – gilad hoch
    Nov 22 '18 at 7:05











  • @giladhoch what the... Thank you SO much you saved my day. I don't even know that Long.box thing.

    – nullmari
    Nov 22 '18 at 7:07











  • @giladhoch Why this happens? What's the difference between _+_ and box?

    – nullmari
    Nov 22 '18 at 7:11






  • 1





    Long.box wraps the primitive Long in the corresponding java Object. Spark API should seamlessly do the conversion for you, but since the error message appears like they don't, it wouldn't hurt to do it yourself. I guess this counts as a bug which you can open an issue for on the spark repo (if doesn't already exist)

    – gilad hoch
    Nov 22 '18 at 15:21






  • 1





    Sure. Glad I could help out :)

    – gilad hoch
    Nov 23 '18 at 8:08








1




1





As a workaround, maybe you can try passing (a,b) => Long.box(a + b) to reduce instead of _ + _

– gilad hoch
Nov 22 '18 at 7:05





As a workaround, maybe you can try passing (a,b) => Long.box(a + b) to reduce instead of _ + _

– gilad hoch
Nov 22 '18 at 7:05













@giladhoch what the... Thank you SO much you saved my day. I don't even know that Long.box thing.

– nullmari
Nov 22 '18 at 7:07





@giladhoch what the... Thank you SO much you saved my day. I don't even know that Long.box thing.

– nullmari
Nov 22 '18 at 7:07













@giladhoch Why this happens? What's the difference between _+_ and box?

– nullmari
Nov 22 '18 at 7:11





@giladhoch Why this happens? What's the difference between _+_ and box?

– nullmari
Nov 22 '18 at 7:11




1




1





Long.box wraps the primitive Long in the corresponding java Object. Spark API should seamlessly do the conversion for you, but since the error message appears like they don't, it wouldn't hurt to do it yourself. I guess this counts as a bug which you can open an issue for on the spark repo (if doesn't already exist)

– gilad hoch
Nov 22 '18 at 15:21





Long.box wraps the primitive Long in the corresponding java Object. Spark API should seamlessly do the conversion for you, but since the error message appears like they don't, it wouldn't hurt to do it yourself. I guess this counts as a bug which you can open an issue for on the spark repo (if doesn't already exist)

– gilad hoch
Nov 22 '18 at 15:21




1




1





Sure. Glad I could help out :)

– gilad hoch
Nov 23 '18 at 8:08





Sure. Glad I could help out :)

– gilad hoch
Nov 23 '18 at 8:08












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