Updating Executor GC heuristic recommendation for high executor GC

Author: ShubhamGupta29

app/com/linkedin/drelephant/spark/heuristics/ExecutorGcHeuristic.scala

@@ -55,11 +55,13 @@ class ExecutorGcHeuristic(private val heuristicConfigurationData: HeuristicConfi
 
     //adding recommendations to the result, severityTimeA corresponds to the ascending severity calculation
     if (evaluator.severityTimeA.getValue > Severity.LOW.getValue) {
-      resultDetails = resultDetails :+ new HeuristicResultDetails("Gc ratio high", "The job is spending too much time on GC. We recommend increasing the executor memory.")
+      resultDetails = resultDetails :+ new HeuristicResultDetails("Gc ratio high",
+        "The job is spending too much time on GC. Recommended to increase the executor memory and also can enable ParallelGC using spark.executor.extraJavaOptions or reducing number of UDF calls.")
     }
     //severityTimeD corresponds to the descending severity calculation
     if (evaluator.severityTimeD.getValue > Severity.LOW.getValue) {
-      resultDetails = resultDetails :+ new HeuristicResultDetails("Gc ratio low", "The job is spending too little time in GC. Please check if you have asked for more executor memory than required.")
+      resultDetails = resultDetails :+ new HeuristicResultDetails("Gc ratio low",
+        "The job is spending too little time in GC. Please check if you have asked for more executor memory than required.")
     }
 
     val result = new HeuristicResult(