[SPARK-19674][SQL] Ignore driver accumulator updates don't belong to …

…the execution when merging all accumulator updates

## What changes were proposed in this pull request?
In SQLListener.getExecutionMetrics, driver accumulator updates don't belong to the execution should be ignored when merging all accumulator updates to prevent NoSuchElementException.

## How was this patch tested?
Updated unit test.

Author: Carson Wang <carson.wang@intel.com>

Closes #17009 from carsonwang/FixSQLMetrics.

sql/core/src/main/scala/org/apache/spark/sql/execution/ui/SQLListener.scala

@@ -343,10 +343,13 @@ class SQLListener(conf: SparkConf) extends SparkListener with Logging {
                accumulatorUpdate <- taskMetrics.accumulatorUpdates) yield {
             (accumulatorUpdate._1, accumulatorUpdate._2)
           }
-        }.filter { case (id, _) => executionUIData.accumulatorMetrics.contains(id) }
+        }
 
         val driverUpdates = executionUIData.driverAccumUpdates.toSeq
-        mergeAccumulatorUpdates(accumulatorUpdates ++ driverUpdates, accumulatorId =>
+        val totalUpdates = (accumulatorUpdates ++ driverUpdates).filter {
+          case (id, _) => executionUIData.accumulatorMetrics.contains(id)
+        }
+        mergeAccumulatorUpdates(totalUpdates, accumulatorId =>
           executionUIData.accumulatorMetrics(accumulatorId).metricType)
       case None =>
         // This execution has been dropped

sql/core/src/test/scala/org/apache/spark/sql/execution/ui/SQLListenerSuite.scala

@@ -147,6 +147,11 @@ class SQLListenerSuite extends SparkFunSuite with SharedSQLContext with JsonTest
 
     checkAnswer(listener.getExecutionMetrics(0), accumulatorUpdates.mapValues(_ * 2))
 
+    // Driver accumulator updates don't belong to this execution should be filtered and no
+    // exception will be thrown.
+    listener.onOtherEvent(SparkListenerDriverAccumUpdates(0, Seq((999L, 2L))))
+    checkAnswer(listener.getExecutionMetrics(0), accumulatorUpdates.mapValues(_ * 2))
+
     listener.onExecutorMetricsUpdate(SparkListenerExecutorMetricsUpdate("", Seq(
       // (task id, stage id, stage attempt, accum updates)
       (0L, 0, 0, createTaskMetrics(accumulatorUpdates).accumulators().map(makeInfo)),