Spark-Atlas-Connector NullPointerExceptions during startup

Question

I'm trying to start my job which I've done for testing integration spark with atlas.

This is simple job which reads from one topic and write to another.

  val sparkConf = new SparkConf()
      .setAppName("atlas-test")
      .setMaster("local[2]")
      .set("spark.extraListeners", "com.hortonworks.spark.atlas.SparkAtlasEventTracker")
      .set("spark.sql.queryExecutionListeners", "com.hortonworks.spark.atlas.SparkAtlasEventTracker")
      .set("spark.sql.streaming.streamingQueryListeners", "com.hortonworks.spark.atlas.SparkAtlasStreamingQueryEventTracker")


    val spark = SparkSession.builder()
      .config(sparkConf)
      .enableHiveSupport()
      .getOrCreate()

    import spark.implicits._


    val df = spark.read.format("kafka")
      .option("kafka.bootstrap.servers", BROKER_SERVERS)
      .option("subscribe", "foobar2")
      .option("startingOffset", "earliest")
      .option("kafka.atlas.cluster.name", clusterName)
      .load()

    println("---------------------------------------------")

    df.printSchema()
    val dfs = df.selectExpr("CAST(key as STRING)","CAST(value AS STRING)").as[(String, String)]

    dfs.show()
    println("---------------------------------------------")

    df.write
      .format("kafka")
      .option("kafka.bootstrap.servers", BROKER_SERVERS)
      .option("topic", "foobar-out")
      .option("kafka.atlas.cluster.name", clusterName)
      .save()

Everything seems understandable. So I try to run the job in my IDE (Intellij) and almost everytime I got this exception

19/08/12 17:00:08 WARN SparkExecutionPlanProcessor: Caught exception during parsing event
java.lang.NullPointerException
    at org.apache.spark.sql.internal.SQLConf$$anonfun$14.apply(SQLConf.scala:133)
    at org.apache.spark.sql.internal.SQLConf$$anonfun$14.apply(SQLConf.scala:133)
    at scala.Option.map(Option.scala:146)
    at org.apache.spark.sql.internal.SQLConf$.get(SQLConf.scala:133)
    at org.apache.spark.sql.execution.datasources.SaveIntoDataSourceCommand.simpleString(SaveIntoDataSourceCommand.scala:52)
    at org.apache.spark.sql.catalyst.plans.QueryPlan.verboseString(QueryPlan.scala:177)
    at org.apache.spark.sql.catalyst.trees.TreeNode.generateTreeString(TreeNode.scala:548)
    at org.apache.spark.sql.catalyst.trees.TreeNode.treeString(TreeNode.scala:472)
    at org.apache.spark.sql.execution.QueryExecution$$anonfun$4.apply(QueryExecution.scala:197)
    at org.apache.spark.sql.execution.QueryExecution$$anonfun$4.apply(QueryExecution.scala:197)
    at org.apache.spark.sql.execution.QueryExecution.stringOrError(QueryExecution.scala:99)
    at org.apache.spark.sql.execution.QueryExecution.toString(QueryExecution.scala:197)
    at com.hortonworks.spark.atlas.sql.CommandsHarvester$.com$hortonworks$spark$atlas$sql$CommandsHarvester$$getPlanInfo(CommandsHarvester.scala:214)
    at com.hortonworks.spark.atlas.sql.CommandsHarvester$.com$hortonworks$spark$atlas$sql$CommandsHarvester$$makeProcessEntities(CommandsHarvester.scala:222)
    at com.hortonworks.spark.atlas.sql.CommandsHarvester$SaveIntoDataSourceHarvester$.harvest(CommandsHarvester.scala:183)
    at com.hortonworks.spark.atlas.sql.SparkExecutionPlanProcessor$$anonfun$2.apply(SparkExecutionPlanProcessor.scala:108)
    at com.hortonworks.spark.atlas.sql.SparkExecutionPlanProcessor$$anonfun$2.apply(SparkExecutionPlanProcessor.scala:89)
    at scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:241)
    at scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:241)
    at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
    at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48)
    at scala.collection.TraversableLike$class.flatMap(TraversableLike.scala:241)
    at scala.collection.AbstractTraversable.flatMap(Traversable.scala:104)
    at com.hortonworks.spark.atlas.sql.SparkExecutionPlanProcessor.process(SparkExecutionPlanProcessor.scala:89)
    at com.hortonworks.spark.atlas.sql.SparkExecutionPlanProcessor.process(SparkExecutionPlanProcessor.scala:63)
    at com.hortonworks.spark.atlas.AbstractEventProcessor$$anonfun$eventProcess$1.apply(AbstractEventProcessor.scala:72)
    at com.hortonworks.spark.atlas.AbstractEventProcessor$$anonfun$eventProcess$1.apply(AbstractEventProcessor.scala:71)
    at scala.Option.foreach(Option.scala:257)
    at com.hortonworks.spark.atlas.AbstractEventProcessor.eventProcess(AbstractEventProcessor.scala:71)
    at com.hortonworks.spark.atlas.AbstractEventProcessor$$anon$1.run(AbstractEventProcessor.scala:38)

I'm using spark 2.4.0 with scala 2.11

And I have some misunderstanding about result. Honestly can't understand after this job in my atlas (local machine) will appear something? Because sometimes jobs run successful but nothing appears in Atlas.