Hi, we have an issue with our current deployment of zeppelin on k8s, and more precisely with spark interpreter.
For reference - the spark context is: scala 2.12.10 / spark 2.4.7 We have a weird behaviour, running the spark interpreter in per note, scoped To reproduce currently - we restart the spark interpreter in scoped per note, and create two notebooks (A & B) with the same following code: %spark > import spark.implicits._ > > List(1, 2, 3).toDS.map(_ + 1).show > 1- we run notebook A successfully 2 - we run notebook B - it fails with class cast exception org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 > in stage 24.0 failed 4 times, most recent failure: Lost task 0.3 in stage > 24.0 (TID 161, 10.11.18.133, executor 2): 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 at > java.io.ObjectStreamClass$FieldReflector.setObjFieldValues(ObjectStreamClass.java:2287) > at java.io.ObjectStreamClass.setObjFieldValues(ObjectStreamClass.java:1417) > at java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:2293) > Anyone having a working zeppelin deployment with k8s / spark 2.4 - scala 2.12 ? or let anyone interested to make some $$$ to help us fix the issue? cheers
