[SPARK-34541][CORE] Fixed an issue where data could not be cleaned up when unregisterShuffle.

core/src/main/scala/org/apache/spark/shuffle/sort/SortShuffleManager.scala

@@ -144,7 +144,7 @@ private[spark] class SortShuffleManager(conf: SparkConf) extends ShuffleManager
       metrics: ShuffleWriteMetricsReporter): ShuffleWriter[K, V] = {
     val mapTaskIds = taskIdMapsForShuffle.computeIfAbsent(
       handle.shuffleId, _ => new OpenHashSet[Long](16))
-    mapTaskIds.synchronized { mapTaskIds.add(context.taskAttemptId()) }
+    mapTaskIds.synchronized { mapTaskIds.add(mapId) }
     val env = SparkEnv.get
     handle match {
       case unsafeShuffleHandle: SerializedShuffleHandle[K @unchecked, V @unchecked] =>

core/src/test/scala/org/apache/spark/ShuffleSuite.scala

@@ -17,9 +17,14 @@
 
 package org.apache.spark
 
+import java.io.File
 import java.util.{Locale, Properties}
 import java.util.concurrent.{Callable, CyclicBarrier, Executors, ExecutorService}
 
+import scala.collection.JavaConverters._
+
+import org.apache.commons.io.FileUtils
+import org.apache.commons.io.filefilter.TrueFileFilter
 import org.scalatest.matchers.must.Matchers
 import org.scalatest.matchers.should.Matchers._
 
@@ -29,7 +34,7 @@ import org.apache.spark.internal.config.Tests.TEST_NO_STAGE_RETRY
 import org.apache.spark.memory.TaskMemoryManager
 import org.apache.spark.rdd.{CoGroupedRDD, OrderedRDDFunctions, RDD, ShuffledRDD, SubtractedRDD}
 import org.apache.spark.scheduler.{MapStatus, MyRDD, SparkListener, SparkListenerTaskEnd}
-import org.apache.spark.serializer.KryoSerializer
+import org.apache.spark.serializer.{JavaSerializer, KryoSerializer}
 import org.apache.spark.shuffle.ShuffleWriter
 import org.apache.spark.storage.{ShuffleBlockId, ShuffleDataBlockId, ShuffleIndexBlockId}
 import org.apache.spark.util.MutablePair
@@ -419,6 +424,31 @@ abstract class ShuffleSuite extends SparkFunSuite with Matchers with LocalSparkC
 
     manager.unregisterShuffle(0)
   }
+
+  test("SPARK-34541: shuffle can be removed") {
+    withTempDir { tmpDir =>
+      def getAllFiles: Set[File] =
+        FileUtils.listFiles(tmpDir, TrueFileFilter.INSTANCE, TrueFileFilter.INSTANCE).asScala.toSet
+      conf.set("spark.local.dir", tmpDir.getAbsolutePath)
+      sc = new SparkContext("local", "test", conf)
+      // For making the taskAttemptId starts from 1.
+      sc.parallelize(1 to 10).count()
+      val rdd = sc.parallelize(1 to 10, 1).map(x => (x, x))
+      // Create a shuffleRdd
+      val shuffledRdd = new ShuffledRDD[Int, Int, Int](rdd, new HashPartitioner(4))
+        .setSerializer(new JavaSerializer(conf))
+      val filesBeforeShuffle = getAllFiles
+      // Force the shuffle to be performed
+      shuffledRdd.count()
+      // Ensure that the shuffle actually created files that will need to be cleaned up
+      val filesCreatedByShuffle = getAllFiles -- filesBeforeShuffle
+      // Check that the cleanup actually removes the files
+      sc.env.blockManager.master.removeShuffle(0, blocking = true)
+      for (file <- filesCreatedByShuffle) {
+        assert (!file.exists(), s"Shuffle file $file was not cleaned up")
+      }
+    }
+  }
 }
 
 /**