Re: Serialization error when using scala kernel with Jupyter

2020-02-21 Thread Apostolos N. Papadopoulos 
collect() returns the contents of the RDD back to the Driver in a local 
variable. Where is the local variable?


Try

val result = rdd.map(x => x + 1).collect()

regards,

Apostolos



On 21/2/20 21:28, Nikhil Goyal wrote:

Hi all,
I am trying to use almond scala kernel to run spark session on 
Jupyter. I am using scala version 2.12.8. I am creating spark session 
with master set to Yarn.

This is the code:

val rdd = spark.sparkContext.parallelize(Seq(1, 2, 4))
rdd.map(x => x + 1).collect()

Exception:
java.lang.ClassCastException: cannot assign instance of 
java.lang.invoke.SerializedLambda to field 
org.apache.spark.rdd.MapPartitionsRDD.f of type scala.Function3 in 
instance of org.apache.spark.rdd.MapPartitionsRDD


I was wondering if anyone has seen this before.

Thanks
Nikhil


--
Apostolos N. Papadopoulos, Associate Professor
Department of Informatics
Aristotle University of Thessaloniki
Thessaloniki, GREECE
tel: ++0030312310991918
email: papad...@csd.auth.gr
twitter: @papadopoulos_ap
web: http://datalab.csd.auth.gr/~apostol

Serialization error when using scala kernel with Jupyter

2020-02-21 Thread Nikhil Goyal 
Hi all,
I am trying to use almond scala kernel to run spark session on Jupyter. I
am using scala version 2.12.8. I am creating spark session with master set
to Yarn.
This is the code:

val rdd = spark.sparkContext.parallelize(Seq(1, 2, 4))
rdd.map(x => x + 1).collect()

Exception:

java.lang.ClassCastException: cannot assign instance of
java.lang.invoke.SerializedLambda to field
org.apache.spark.rdd.MapPartitionsRDD.f of type scala.Function3 in
instance of org.apache.spark.rdd.MapPartitionsRDD


I was wondering if anyone has seen this before.

Thanks
Nikhil