diff --git a/core/src/main/scala/org/apache/spark/BarrierCoordinator.scala b/core/src/main/scala/org/apache/spark/BarrierCoordinator.scala
new file mode 100644
index 0000000000000..5e546c694e8d9
--- /dev/null
+++ b/core/src/main/scala/org/apache/spark/BarrierCoordinator.scala
@@ -0,0 +1,235 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License.  You may obtain a copy of the License at
+ *
+ *    http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.spark
+
+import java.util.{Timer, TimerTask}
+import java.util.concurrent.ConcurrentHashMap
+import java.util.function.{Consumer, Function}
+
+import scala.collection.mutable.ArrayBuffer
+
+import org.apache.spark.internal.Logging
+import org.apache.spark.rpc.{RpcCallContext, RpcEnv, ThreadSafeRpcEndpoint}
+import org.apache.spark.scheduler.{LiveListenerBus, SparkListener, SparkListenerStageCompleted}
+
+/**
+ * For each barrier stage attempt, only at most one barrier() call can be active at any time, thus
+ * we can use (stageId, stageAttemptId) to identify the stage attempt where the barrier() call is
+ * from.
+ */
+private case class ContextBarrierId(stageId: Int, stageAttemptId: Int) {
+  override def toString: String = s"Stage $stageId (Attempt $stageAttemptId)"
+}
+
+/**
+ * A coordinator that handles all global sync requests from BarrierTaskContext. Each global sync
+ * request is generated by `BarrierTaskContext.barrier()`, and identified by
+ * stageId + stageAttemptId + barrierEpoch. Reply all the blocking global sync requests upon
+ * all the requests for a group of `barrier()` calls are received. If the coordinator is unable to
+ * collect enough global sync requests within a configured time, fail all the requests and return
+ * an Exception with timeout message.
+ */
+private[spark] class BarrierCoordinator(
+    timeoutInSecs: Long,
+    listenerBus: LiveListenerBus,
+    override val rpcEnv: RpcEnv) extends ThreadSafeRpcEndpoint with Logging {
+
+  // TODO SPARK-25030 Create a Timer() in the mainClass submitted to SparkSubmit makes it unable to
+  // fetch result, we shall fix the issue.
+  private lazy val timer = new Timer("BarrierCoordinator barrier epoch increment timer")
+
+  // Listen to StageCompleted event, clear corresponding ContextBarrierState.
+  private val listener = new SparkListener {
+    override def onStageCompleted(stageCompleted: SparkListenerStageCompleted): Unit = {
+      val stageInfo = stageCompleted.stageInfo
+      val barrierId = ContextBarrierId(stageInfo.stageId, stageInfo.attemptNumber)
+      // Clear ContextBarrierState from a finished stage attempt.
+      cleanupBarrierStage(barrierId)
+    }
+  }
+
+  // Record all active stage attempts that make barrier() call(s), and the corresponding internal
+  // state.
+  private val states = new ConcurrentHashMap[ContextBarrierId, ContextBarrierState]
+
+  override def onStart(): Unit = {
+    super.onStart()
+    listenerBus.addToStatusQueue(listener)
+  }
+
+  override def onStop(): Unit = {
+    try {
+      states.forEachValue(1, clearStateConsumer)
+      states.clear()
+      listenerBus.removeListener(listener)
+    } finally {
+      super.onStop()
+    }
+  }
+
+  /**
+   * Provide the current state of a barrier() call. A state is created when a new stage attempt
+   * sends out a barrier() call, and recycled on stage completed.
+   *
+   * @param barrierId Identifier of the barrier stage that make a barrier() call.
+   * @param numTasks Number of tasks of the barrier stage, all barrier() calls from the stage shall
+   *                 collect `numTasks` requests to succeed.
+   */
+  private class ContextBarrierState(
+      val barrierId: ContextBarrierId,
+      val numTasks: Int) {
+
+    // There may be multiple barrier() calls from a barrier stage attempt, `barrierEpoch` is used
+    // to identify each barrier() call. It shall get increased when a barrier() call succeeds, or
+    // reset when a barrier() call fails due to timeout.
+    private var barrierEpoch: Int = 0
+
+    // An array of RPCCallContexts for barrier tasks that are waiting for reply of a barrier()
+    // call.
+    private val requesters: ArrayBuffer[RpcCallContext] = new ArrayBuffer[RpcCallContext](numTasks)
+
+    // A timer task that ensures we may timeout for a barrier() call.
+    private var timerTask: TimerTask = null
+
+    // Init a TimerTask for a barrier() call.
+    private def initTimerTask(): Unit = {
+      timerTask = new TimerTask {
+        override def run(): Unit = synchronized {
+          // Timeout current barrier() call, fail all the sync requests.
+          requesters.foreach(_.sendFailure(new SparkException("The coordinator didn't get all " +
+            s"barrier sync requests for barrier epoch $barrierEpoch from $barrierId within " +
+            s"$timeoutInSecs second(s).")))
+          cleanupBarrierStage(barrierId)
+        }
+      }
+    }
+
+    // Cancel the current active TimerTask and release resources.
+    private def cancelTimerTask(): Unit = {
+      if (timerTask != null) {
+        timerTask.cancel()
+        timerTask = null
+      }
+    }
+
+    // Process the global sync request. The barrier() call succeed if collected enough requests
+    // within a configured time, otherwise fail all the pending requests.
+    def handleRequest(requester: RpcCallContext, request: RequestToSync): Unit = synchronized {
+      val taskId = request.taskAttemptId
+      val epoch = request.barrierEpoch
+
+      // Require the number of tasks is correctly set from the BarrierTaskContext.
+      require(request.numTasks == numTasks, s"Number of tasks of $barrierId is " +
+        s"${request.numTasks} from Task $taskId, previously it was $numTasks.")
+
+      // Check whether the epoch from the barrier tasks matches current barrierEpoch.
+      logInfo(s"Current barrier epoch for $barrierId is $barrierEpoch.")
+      if (epoch != barrierEpoch) {
+        requester.sendFailure(new SparkException(s"The request to sync of $barrierId with " +
+          s"barrier epoch $barrierEpoch has already finished. Maybe task $taskId is not " +
+          "properly killed."))
+      } else {
+        // If this is the first sync message received for a barrier() call, start timer to ensure
+        // we may timeout for the sync.
+        if (requesters.isEmpty) {
+          initTimerTask()
+          timer.schedule(timerTask, timeoutInSecs * 1000)
+        }
+        // Add the requester to array of RPCCallContexts pending for reply.
+        requesters += requester
+        logInfo(s"Barrier sync epoch $barrierEpoch from $barrierId received update from Task " +
+          s"$taskId, current progress: ${requesters.size}/$numTasks.")
+        if (maybeFinishAllRequesters(requesters, numTasks)) {
+          // Finished current barrier() call successfully, clean up ContextBarrierState and
+          // increase the barrier epoch.
+          logInfo(s"Barrier sync epoch $barrierEpoch from $barrierId received all updates from " +
+            s"tasks, finished successfully.")
+          barrierEpoch += 1
+          requesters.clear()
+          cancelTimerTask()
+        }
+      }
+    }
+
+    // Finish all the blocking barrier sync requests from a stage attempt successfully if we
+    // have received all the sync requests.
+    private def maybeFinishAllRequesters(
+        requesters: ArrayBuffer[RpcCallContext],
+        numTasks: Int): Boolean = {
+      if (requesters.size == numTasks) {
+        requesters.foreach(_.reply(()))
+        true
+      } else {
+        false
+      }
+    }
+
+    // Cleanup the internal state of a barrier stage attempt.
+    def clear(): Unit = synchronized {
+      // The global sync fails so the stage is expected to retry another attempt, all sync
+      // messages come from current stage attempt shall fail.
+      barrierEpoch = -1
+      requesters.clear()
+      cancelTimerTask()
+    }
+  }
+
+  // Clean up the [[ContextBarrierState]] that correspond to a specific stage attempt.
+  private def cleanupBarrierStage(barrierId: ContextBarrierId): Unit = {
+    val barrierState = states.remove(barrierId)
+    if (barrierState != null) {
+      barrierState.clear()
+    }
+  }
+
+  override def receiveAndReply(context: RpcCallContext): PartialFunction[Any, Unit] = {
+    case request @ RequestToSync(numTasks, stageId, stageAttemptId, _, _) =>
+      // Get or init the ContextBarrierState correspond to the stage attempt.
+      val barrierId = ContextBarrierId(stageId, stageAttemptId)
+      states.computeIfAbsent(barrierId, new Function[ContextBarrierId, ContextBarrierState] {
+        override def apply(key: ContextBarrierId): ContextBarrierState =
+          new ContextBarrierState(key, numTasks)
+      })
+      val barrierState = states.get(barrierId)
+
+      barrierState.handleRequest(context, request)
+  }
+
+  private val clearStateConsumer = new Consumer[ContextBarrierState] {
+    override def accept(state: ContextBarrierState) = state.clear()
+  }
+}
+
+private[spark] sealed trait BarrierCoordinatorMessage extends Serializable
+
+/**
+ * A global sync request message from BarrierTaskContext, by `barrier()` call. Each request is
+ * identified by stageId + stageAttemptId + barrierEpoch.
+ *
+ * @param numTasks The number of global sync requests the BarrierCoordinator shall receive
+ * @param stageId ID of current stage
+ * @param stageAttemptId ID of current stage attempt
+ * @param taskAttemptId Unique ID of current task
+ * @param barrierEpoch ID of the `barrier()` call, a task may consist multiple `barrier()` calls.
+ */
+private[spark] case class RequestToSync(
+    numTasks: Int,
+    stageId: Int,
+    stageAttemptId: Int,
+    taskAttemptId: Long,
+    barrierEpoch: Int) extends BarrierCoordinatorMessage
diff --git a/core/src/main/scala/org/apache/spark/BarrierTaskContext.scala b/core/src/main/scala/org/apache/spark/BarrierTaskContext.scala
index ba303680d1a0f..8e2b15599b674 100644
--- a/core/src/main/scala/org/apache/spark/BarrierTaskContext.scala
+++ b/core/src/main/scala/org/apache/spark/BarrierTaskContext.scala
@@ -17,12 +17,17 @@
 
 package org.apache.spark
 
-import java.util.Properties
+import java.util.{Properties, Timer, TimerTask}
+
+import scala.concurrent.duration._
+import scala.language.postfixOps
 
 import org.apache.spark.annotation.{Experimental, Since}
 import org.apache.spark.executor.TaskMetrics
 import org.apache.spark.memory.TaskMemoryManager
 import org.apache.spark.metrics.MetricsSystem
+import org.apache.spark.rpc.{RpcEndpointRef, RpcTimeout}
+import org.apache.spark.util.{RpcUtils, Utils}
 
 /** A [[TaskContext]] with extra info and tooling for a barrier stage. */
 class BarrierTaskContext(
@@ -39,6 +44,22 @@ class BarrierTaskContext(
   extends TaskContextImpl(stageId, stageAttemptNumber, partitionId, taskAttemptId, attemptNumber,
       taskMemoryManager, localProperties, metricsSystem, taskMetrics) {
 
+  // Find the driver side RPCEndpointRef of the coordinator that handles all the barrier() calls.
+  private val barrierCoordinator: RpcEndpointRef = {
+    val env = SparkEnv.get
+    RpcUtils.makeDriverRef("barrierSync", env.conf, env.rpcEnv)
+  }
+
+  private val timer = new Timer("Barrier task timer for barrier() calls.")
+
+  // Local barrierEpoch that identify a barrier() call from current task, it shall be identical
+  // with the driver side epoch.
+  private var barrierEpoch = 0
+
+  // Number of tasks of the current barrier stage, a barrier() call must collect enough requests
+  // from different tasks within the same barrier stage attempt to succeed.
+  private lazy val numTasks = getTaskInfos().size
+
   /**
    * :: Experimental ::
    * Sets a global barrier and waits until all tasks in this stage hit this barrier. Similar to
@@ -80,7 +101,44 @@ class BarrierTaskContext(
   @Experimental
   @Since("2.4.0")
   def barrier(): Unit = {
-    // TODO SPARK-24817 implement global barrier.
+    logInfo(s"Task $taskAttemptId from Stage $stageId(Attempt $stageAttemptNumber) has entered " +
+      s"the global sync, current barrier epoch is $barrierEpoch.")
+    logTrace("Current callSite: " + Utils.getCallSite())
+
+    val startTime = System.currentTimeMillis()
+    val timerTask = new TimerTask {
+      override def run(): Unit = {
+        logInfo(s"Task $taskAttemptId from Stage $stageId(Attempt $stageAttemptNumber) waiting " +
+          s"under the global sync since $startTime, has been waiting for " +
+          s"${(System.currentTimeMillis() - startTime) / 1000} seconds, current barrier epoch " +
+          s"is $barrierEpoch.")
+      }
+    }
+    // Log the update of global sync every 60 seconds.
+    timer.schedule(timerTask, 60000, 60000)
+
+    try {
+      barrierCoordinator.askSync[Unit](
+        message = RequestToSync(numTasks, stageId, stageAttemptNumber, taskAttemptId,
+          barrierEpoch),
+        // Set a fixed timeout for RPC here, so users shall get a SparkException thrown by
+        // BarrierCoordinator on timeout, instead of RPCTimeoutException from the RPC framework.
+        timeout = new RpcTimeout(31536000 /* = 3600 * 24 * 365 */ seconds, "barrierTimeout"))
+      barrierEpoch += 1
+      logInfo(s"Task $taskAttemptId from Stage $stageId(Attempt $stageAttemptNumber) finished " +
+        "global sync successfully, waited for " +
+        s"${(System.currentTimeMillis() - startTime) / 1000} seconds, current barrier epoch is " +
+        s"$barrierEpoch.")
+    } catch {
+      case e: SparkException =>
+        logInfo(s"Task $taskAttemptId from Stage $stageId(Attempt $stageAttemptNumber) failed " +
+          "to perform global sync, waited for " +
+          s"${(System.currentTimeMillis() - startTime) / 1000} seconds, current barrier epoch " +
+          s"is $barrierEpoch.")
+        throw e
+    } finally {
+      timerTask.cancel()
+    }
   }
 
   /**
diff --git a/core/src/main/scala/org/apache/spark/SparkContext.scala b/core/src/main/scala/org/apache/spark/SparkContext.scala
index 78ba0b31fc6bb..ba13567459e1d 100644
--- a/core/src/main/scala/org/apache/spark/SparkContext.scala
+++ b/core/src/main/scala/org/apache/spark/SparkContext.scala
@@ -1930,6 +1930,12 @@ class SparkContext(config: SparkConf) extends Logging {
     Utils.tryLogNonFatalError {
       _executorAllocationManager.foreach(_.stop())
     }
+    if (_dagScheduler != null) {
+      Utils.tryLogNonFatalError {
+        _dagScheduler.stop()
+      }
+      _dagScheduler = null
+    }
     if (_listenerBusStarted) {
       Utils.tryLogNonFatalError {
         listenerBus.stop()
@@ -1939,12 +1945,6 @@ class SparkContext(config: SparkConf) extends Logging {
     Utils.tryLogNonFatalError {
       _eventLogger.foreach(_.stop())
     }
-    if (_dagScheduler != null) {
-      Utils.tryLogNonFatalError {
-        _dagScheduler.stop()
-      }
-      _dagScheduler = null
-    }
     if (env != null && _heartbeatReceiver != null) {
       Utils.tryLogNonFatalError {
         env.rpcEnv.stop(_heartbeatReceiver)
diff --git a/core/src/main/scala/org/apache/spark/internal/config/package.scala b/core/src/main/scala/org/apache/spark/internal/config/package.scala
index 8fef2aa6863c5..eb08628ce1112 100644
--- a/core/src/main/scala/org/apache/spark/internal/config/package.scala
+++ b/core/src/main/scala/org/apache/spark/internal/config/package.scala
@@ -567,4 +567,14 @@ package object config {
       .intConf
       .checkValue(v => v > 0, "The value should be a positive integer.")
       .createWithDefault(2000)
+
+  private[spark] val BARRIER_SYNC_TIMEOUT =
+    ConfigBuilder("spark.barrier.sync.timeout")
+      .doc("The timeout in seconds for each barrier() call from a barrier task. If the " +
+        "coordinator didn't receive all the sync messages from barrier tasks within the " +
+        "configed time, throw a SparkException to fail all the tasks. The default value is set " +
+        "to 31536000(3600 * 24 * 365) so the barrier() call shall wait for one year.")
+      .timeConf(TimeUnit.SECONDS)
+      .checkValue(v => v > 0, "The value should be a positive time value.")
+      .createWithDefaultString("365d")
 }
diff --git a/core/src/main/scala/org/apache/spark/scheduler/TaskSchedulerImpl.scala b/core/src/main/scala/org/apache/spark/scheduler/TaskSchedulerImpl.scala
index 72691389d271c..8992d7e2284a4 100644
--- a/core/src/main/scala/org/apache/spark/scheduler/TaskSchedulerImpl.scala
+++ b/core/src/main/scala/org/apache/spark/scheduler/TaskSchedulerImpl.scala
@@ -30,6 +30,7 @@ import org.apache.spark._
 import org.apache.spark.TaskState.TaskState
 import org.apache.spark.internal.Logging
 import org.apache.spark.internal.config
+import org.apache.spark.rpc.RpcEndpoint
 import org.apache.spark.scheduler.SchedulingMode.SchedulingMode
 import org.apache.spark.scheduler.TaskLocality.TaskLocality
 import org.apache.spark.storage.BlockManagerId
@@ -138,6 +139,19 @@ private[spark] class TaskSchedulerImpl(
   // This is a var so that we can reset it for testing purposes.
   private[spark] var taskResultGetter = new TaskResultGetter(sc.env, this)
 
+  private lazy val barrierSyncTimeout = conf.get(config.BARRIER_SYNC_TIMEOUT)
+
+  private[scheduler] var barrierCoordinator: RpcEndpoint = null
+
+  private def maybeInitBarrierCoordinator(): Unit = {
+    if (barrierCoordinator == null) {
+      barrierCoordinator = new BarrierCoordinator(barrierSyncTimeout, sc.listenerBus,
+        sc.env.rpcEnv)
+      sc.env.rpcEnv.setupEndpoint("barrierSync", barrierCoordinator)
+      logInfo("Registered BarrierCoordinator endpoint")
+    }
+  }
+
   override def setDAGScheduler(dagScheduler: DAGScheduler) {
     this.dagScheduler = dagScheduler
   }
@@ -413,6 +427,9 @@ private[spark] class TaskSchedulerImpl(
               s"${taskSet.numTasks} tasks got resource offers. The resource offers may have " +
               "been blacklisted or cannot fulfill task locality requirements.")
 
+          // materialize the barrier coordinator.
+          maybeInitBarrierCoordinator()
+
           // Update the taskInfos into all the barrier task properties.
           val addressesStr = addressesWithDescs
             // Addresses ordered by partitionId
@@ -566,6 +583,9 @@ private[spark] class TaskSchedulerImpl(
     if (taskResultGetter != null) {
       taskResultGetter.stop()
     }
+    if (barrierCoordinator != null) {
+      barrierCoordinator.stop()
+    }
     starvationTimer.cancel()
   }
 
diff --git a/core/src/test/scala/org/apache/spark/scheduler/BarrierTaskContextSuite.scala b/core/src/test/scala/org/apache/spark/scheduler/BarrierTaskContextSuite.scala
new file mode 100644
index 0000000000000..5f96d6fb0cdb6
--- /dev/null
+++ b/core/src/test/scala/org/apache/spark/scheduler/BarrierTaskContextSuite.scala
@@ -0,0 +1,150 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License.  You may obtain a copy of the License at
+ *
+ *    http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.spark.scheduler
+
+import scala.util.Random
+
+import org.apache.spark._
+
+class BarrierTaskContextSuite extends SparkFunSuite with LocalSparkContext {
+
+  test("global sync by barrier() call") {
+    val conf = new SparkConf()
+      // Init local cluster here so each barrier task runs in a separated process, thus `barrier()`
+      // call is actually useful.
+      .setMaster("local-cluster[4, 1, 1024]")
+      .setAppName("test-cluster")
+    sc = new SparkContext(conf)
+    val rdd = sc.makeRDD(1 to 10, 4)
+    val rdd2 = rdd.barrier().mapPartitions { (it, context) =>
+      // Sleep for a random time before global sync.
+      Thread.sleep(Random.nextInt(1000))
+      context.barrier()
+      Seq(System.currentTimeMillis()).iterator
+    }
+
+    val times = rdd2.collect()
+    // All the tasks shall finish global sync within a short time slot.
+    assert(times.max - times.min <= 1000)
+  }
+
+  test("support multiple barrier() call within a single task") {
+    val conf = new SparkConf()
+      .setMaster("local-cluster[4, 1, 1024]")
+      .setAppName("test-cluster")
+    sc = new SparkContext(conf)
+    val rdd = sc.makeRDD(1 to 10, 4)
+    val rdd2 = rdd.barrier().mapPartitions { (it, context) =>
+      // Sleep for a random time before global sync.
+      Thread.sleep(Random.nextInt(1000))
+      context.barrier()
+      val time1 = System.currentTimeMillis()
+      // Sleep for a random time between two global syncs.
+      Thread.sleep(Random.nextInt(1000))
+      context.barrier()
+      val time2 = System.currentTimeMillis()
+      Seq((time1, time2)).iterator
+    }
+
+    val times = rdd2.collect()
+    // All the tasks shall finish the first round of global sync within a short time slot.
+    val times1 = times.map(_._1)
+    assert(times1.max - times1.min <= 1000)
+
+    // All the tasks shall finish the second round of global sync within a short time slot.
+    val times2 = times.map(_._2)
+    assert(times2.max - times2.min <= 1000)
+  }
+
+  test("throw exception on barrier() call timeout") {
+    val conf = new SparkConf()
+      .set("spark.barrier.sync.timeout", "1")
+      .set("spark.test.noStageRetry", "true")
+      .setMaster("local-cluster[4, 1, 1024]")
+      .setAppName("test-cluster")
+    sc = new SparkContext(conf)
+    val rdd = sc.makeRDD(1 to 10, 4)
+    val rdd2 = rdd.barrier().mapPartitions { (it, context) =>
+      // Task 3 shall sleep 2000ms to ensure barrier() call timeout
+      if (context.taskAttemptId == 3) {
+        Thread.sleep(2000)
+      }
+      context.barrier()
+      it
+    }
+
+    val error = intercept[SparkException] {
+      rdd2.collect()
+    }.getMessage
+    assert(error.contains("The coordinator didn't get all barrier sync requests"))
+    assert(error.contains("within 1 second(s)"))
+  }
+
+  test("throw exception if barrier() call doesn't happen on every task") {
+    val conf = new SparkConf()
+      .set("spark.barrier.sync.timeout", "1")
+      .set("spark.test.noStageRetry", "true")
+      .setMaster("local-cluster[4, 1, 1024]")
+      .setAppName("test-cluster")
+    sc = new SparkContext(conf)
+    val rdd = sc.makeRDD(1 to 10, 4)
+    val rdd2 = rdd.barrier().mapPartitions { (it, context) =>
+      if (context.taskAttemptId != 0) {
+        context.barrier()
+      }
+      it
+    }
+
+    val error = intercept[SparkException] {
+      rdd2.collect()
+    }.getMessage
+    assert(error.contains("The coordinator didn't get all barrier sync requests"))
+    assert(error.contains("within 1 second(s)"))
+  }
+
+  test("throw exception if the number of barrier() calls are not the same on every task") {
+    val conf = new SparkConf()
+      .set("spark.barrier.sync.timeout", "1")
+      .set("spark.test.noStageRetry", "true")
+      .setMaster("local-cluster[4, 1, 1024]")
+      .setAppName("test-cluster")
+    sc = new SparkContext(conf)
+    val rdd = sc.makeRDD(1 to 10, 4)
+    val rdd2 = rdd.barrier().mapPartitions { (it, context) =>
+      try {
+        if (context.taskAttemptId == 0) {
+          // Due to some non-obvious reason, the code can trigger an Exception and skip the
+          // following statements within the try ... catch block, including the first barrier()
+          // call.
+          throw new SparkException("test")
+        }
+        context.barrier()
+      } catch {
+        case e: Exception => // Do nothing
+      }
+      context.barrier()
+      it
+    }
+
+    val error = intercept[SparkException] {
+      rdd2.collect()
+    }.getMessage
+    assert(error.contains("The coordinator didn't get all barrier sync requests"))
+    assert(error.contains("within 1 second(s)"))
+  }
+}