Facing error while running a Spark Job Definition in Microsoft Fabric

Hi,

I was trying out a basic scala program as a Spark Job definition on Microsoft Fabric. I am observing is my main class executes perfectly, but the session fails.

Main method:

val spark = SparkSession.builder.appName("Sample Spark Session").master("local[*]").getOrCreate()
val sqlContext = spark.sqlContext
var df = sqlContext.sql("Select * from delta.`<abfss path>`")

In the post step, I am seeing the following error in the stderr:

2024-02-08 08:40:09,339 ERROR Logger [spark-listener-group-shared]: Failed to flush.
java.lang.NullPointerException
at com.microsoft.azure.synapse.diagnostic.SparkObservabilityBus.flush(SparkObservabilityBus.java:300)
at com.microsoft.azure.synapse.diagnostic.SparkObservabilityBus.flushSparkListenerEvent(SparkObservabilityBus.java:230)
at org.apache.spark.listeners.SparkObservabilityListener.onApplicationEnd(SparkObservabilityListener.scala:34)
at org.apache.spark.scheduler.SparkListenerBus.doPostEvent(SparkListenerBus.scala:57)
at org.apache.spark.scheduler.SparkListenerBus.doPostEvent$(SparkListenerBus.scala:28)
at org.apache.spark.scheduler.AsyncEventQueue.doPostEvent(AsyncEventQueue.scala:37)
at org.apache.spark.scheduler.AsyncEventQueue.doPostEvent(AsyncEventQueue.scala:37)
at org.apache.spark.util.ListenerBus.postToAll(ListenerBus.scala:120)
at org.apache.spark.util.ListenerBus.postToAll$(ListenerBus.scala:104)
at org.apache.spark.scheduler.AsyncEventQueue.super$postToAll(AsyncEventQueue.scala:127)
at org.apache.spark.scheduler.AsyncEventQueue.$anonfun$dispatch$1(AsyncEventQueue.scala:127)
at scala.runtime.java8.JFunction0$mcJ$sp.apply(JFunction0$mcJ$sp.java:23)
at scala.util.DynamicVariable.withValue(DynamicVariable.scala:62)
at org.apache.spark.scheduler.AsyncEventQueue.org$apache$spark$scheduler$AsyncEventQueue$$dispatch(AsyncEventQueue.scala:121)
at org.apache.spark.scheduler.AsyncEventQueue$$anon$3.$anonfun$run$4(AsyncEventQueue.scala:117)
at org.apache.spark.util.Utils$.tryOrStopSparkContext(Utils.scala:1471)
at org.apache.spark.scheduler.AsyncEventQueue$$anon$3.run(AsyncEventQueue.scala:117)

Has anyone seen this before or has any idea around this?

Thanks