Exception while running StreamingContext.start() - pyspark

Question

Exception while running python code in Windows 10. I am using Apache Kafka and PySpark.
Python code snippet to read data from Kafka
ssc=StreamingContext(sc,60)
zkQuorum, topic = sys.argv[1:]
kvs=KafkaUtils.createStream(ssc, zkQuorum, "spark-streaming-consumer", {topic: 1})
lines = kvs.map(lambda x: [x[0],x[1]])
lines.pprint()
lines.foreachRDD(SaveRecord)
ssc.start()
ssc.awaitTermination()
Exception while running the code
Exception in thread "streaming-start" java.lang.NoClassDefFoundError: org/apache/spark/internal/Logging$class
at org.apache.spark.streaming.kafka.KafkaReceiver.<init>(KafkaInputDStream.scala:69)
at org.apache.spark.streaming.kafka.KafkaInputDStream.getReceiver(KafkaInputDStream.scala:60)
at org.apache.spark.streaming.scheduler.ReceiverTracker.$anonfun$launchReceivers$1(ReceiverTracker.scala:441)
at scala.collection.TraversableLike.$anonfun$map$1(TraversableLike.scala:237)
at scala.collection.IndexedSeqOptimized.foreach(IndexedSeqOptimized.scala:36)
at scala.collection.IndexedSeqOptimized.foreach$(IndexedSeqOptimized.scala:33)
at scala.collection.mutable.ArrayOps$ofRef.foreach(ArrayOps.scala:198)
at scala.collection.TraversableLike.map(TraversableLike.scala:237)
at scala.collection.TraversableLike.map$(TraversableLike.scala:230)
at scala.collection.mutable.ArrayOps$ofRef.map(ArrayOps.scala:198)
at org.apache.spark.streaming.scheduler.ReceiverTracker.launchReceivers(ReceiverTracker.scala:440)
at org.apache.spark.streaming.scheduler.ReceiverTracker.start(ReceiverTracker.scala:160)
at org.apache.spark.streaming.scheduler.JobScheduler.start(JobScheduler.scala:102)
at org.apache.spark.streaming.StreamingContext.$anonfun$start$1(StreamingContext.scala:583)
at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23)
at org.apache.spark.util.ThreadUtils$$anon$1.run(ThreadUtils.scala:145)
Caused by: java.lang.ClassNotFoundException: org.apache.spark.internal.Logging$class
at java.net.URLClassLoader.findClass(URLClassLoader.java:381)
at java.lang.ClassLoader.loadClass(ClassLoader.java:424)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:349)
at java.lang.ClassLoader.loadClass(ClassLoader.java:357)
... 16 more

Answer 1

This may be due to incompatible version of Scala with Spark. Make sure your Scala Version in Project configuration matches with the Version your Spark Version supports.
Spark requires Scala 2.12; support for Scala 2.11 was removed in Spark 3.0.0
It is also possible that the third party jar (like dstream-twitter for twitter streaming application or your Kafka streaming jar) is built for unsupported version of Scala in your application.
For me dstream-twitter_2.11-2.3.0-SNAPSHOT For Instance didn't work with Spark 3.0, It gave Exception in thread "streaming-start" java.lang.NoClassDefFoundError: org/apache/spark/internal/Logging$class). But when I updated the dtream-twitter jar with scala 2.12 version it solved the issue.
Make sure you get all the Scala Versions correct.