Giving a bit more detail on the error would make it a lot easier for others to help you out. Eg., in this case, it would have helped if included your actual compile error.

In any case, I'm assuming your issue is b/c that class if private to spark.  You can sneak around that by using Class.forName("stringOfClassName") instead:

scala> classOf[org.apache.spark.scheduler.HighlyCompressedMapStatus]
<console>:8: error: class HighlyCompressedMapStatus in package scheduler cannot be accessed in package org.apache.spark.scheduler
              classOf[org.apache.spark.scheduler.HighlyCompressedMapStatus]
                                                 ^
scala> Class.forName("org.apache.spark.scheduler.HighlyCompressedMapStatus")
res1: Class[_] = class org.apache.spark.scheduler.HighlyCompressedMapStatus

hope this helps,

Imran

 

On Thu, Mar 12, 2015 at 12:47 PM, Arun Luthra <arun.luthra@gmail.com> wrote:

I'm using a pre-built Spark; I'm not trying to compile Spark.

The compile error appears when I try to register HighlyCompressedMapStatus in my program:

  kryo.register(classOf[org.apache.spark.scheduler.HighlyCompressedMapStatus])

If I don't register it, I get a runtime error saying that it needs to be registered (the error is only when I turn on kryo).

However the code is running smoothly with kryo turned off.

On Wed, Mar 11, 2015 at 5:38 PM, Imran Rashid <irashid@cloudera.com> wrote:

I'm not sure what you mean.   Are you asking how you can recompile all of spark and deploy it, instead of using one of the pre-built versions?

https://spark.apache.org/docs/latest/building-spark.html

Or are you seeing compile problems specifically w/ HighlyCompressedMapStatus?   The code compiles fine, so I'm not sure what problem you are running into -- we'd need a lot more info to help

On Tue, Mar 10, 2015 at 6:54 PM, Arun Luthra <arun.luthra@gmail.com> wrote:

Does anyone know how to get the HighlyCompressedMapStatus to compile?

I will try turning off kryo in 1.2.0 and hope things don't break.  I want to benefit from the MapOutputTracker fix in 1.2.0.

On Tue, Mar 3, 2015 at 5:41 AM, Imran Rashid <irashid@cloudera.com> wrote:

the scala syntax for arrays is Array[T], not T[], so you want to use something:

kryo.register(classOf[Array[org.roaringbitmap.RoaringArray$Element]])

kryo.register(classOf[Array[Short]])

nonetheless, the spark should take care of this itself.  I'll look into it later today.

On Mon, Mar 2, 2015 at 2:55 PM, Arun Luthra <arun.luthra@gmail.com> wrote:

I think this is a Java vs scala syntax issue. Will check.

On Thu, Feb 26, 2015 at 8:17 PM, Arun Luthra <arun.luthra@gmail.com> wrote:

Problem is noted here: https://issues.apache.org/jira/browse/SPARK-5949

I tried this as a workaround:

import org.apache.spark.scheduler._

import org.roaringbitmap._

...

kryo.register(classOf[org.roaringbitmap.RoaringBitmap])

    kryo.register(classOf[org.roaringbitmap.RoaringArray])

    kryo.register(classOf[org.roaringbitmap.ArrayContainer])

    kryo.register(classOf[org.apache.spark.scheduler.HighlyCompressedMapStatus])

    kryo.register(classOf[org.roaringbitmap.RoaringArray$Element])

    kryo.register(classOf[org.roaringbitmap.RoaringArray$Element[]])

    kryo.register(classOf[short[]])

in build file:

libraryDependencies += "org.roaringbitmap" % "RoaringBitmap" % "0.4.8"

This fails to compile:

...:53: identifier expected but ']' found.

[error]     kryo.register(classOf[org.roaringbitmap.RoaringArray$Element[]])

also:

:54: identifier expected but ']' found.

[error]     kryo.register(classOf[short[]])

also:

:51: class HighlyCompressedMapStatus in package scheduler cannot be accessed in package org.apache.spark.scheduler

[error]     kryo.register(classOf[org.apache.spark.scheduler.HighlyCompressedMapStatus])

Suggestions?

Arun