TaskSetManager: Lost task 0.0 in stage

spark.time(updatesDf.write.format("hudi").option("hoodie.upsert.shuffle.parallelism","500").option(PRECOMBINE_FIELD.key(), "created_at").option(RECORDKEY_FIELD.key(), "id").option(PARTITIONPATH_FIELD.key(), "type").option("hoodie.parquet.compression.codec", "SNAPPY").option(OPERATION.key(),"upsert").option("hoodie.datasource.write.table.name", "hudi_3").option("hoodie.table.name","hudi_4").mode("Append").save("s3a://siva-test-bucket-june-16/hudi_testing/hudi_4/"))
21/08/23 06:20:56 WARN cluster.YarnSchedulerBackend$YarnSchedulerEndpoint: Requesting driver to remove executor 14 for reason Container from a bad node: container_1629694615075_0009_01_000015 on host: ip-172-31-41-172.us-east-2.compute.internal. Exit status: 143. Diagnostics: [2021-08-23 06:20:56.504]Container killed on request. Exit code is 143
[2021-08-23 06:20:56.504]Container exited with a non-zero exit code 143. 
[2021-08-23 06:20:56.505]Killed by external signal
.
21/08/23 06:20:56 ERROR cluster.YarnScheduler: Lost executor 14 on ip-172-31-41-172.us-east-2.compute.internal: Container from a bad node: container_1629694615075_0009_01_000015 on host: ip-172-31-41-172.us-east-2.compute.internal. Exit status: 143. Diagnostics: [2021-08-23 06:20:56.504]Container killed on request. Exit code is 143
[2021-08-23 06:20:56.504]Container exited with a non-zero exit code 143. 
[2021-08-23 06:20:56.505]Killed by external signal
.
21/08/23 06:20:56 WARN scheduler.TaskSetManager: Lost task 0.0 in stage 11.0 (TID 3649, ip-172-31-41-172.us-east-2.compute.internal, executor 14): ExecutorLostFailure (executor 14 exited caused by one of the running tasks) Reason: Container from a bad node: container_1629694615075_0009_01_000015 on host: ip-172-31-41-172.us-east-2.compute.internal. Exit status: 143. Diagnostics: [2021-08-23 06:20:56.504]Container killed on request. Exit code is 143
[2021-08-23 06:20:56.504]Container exited with a non-zero exit code 143. 
[2021-08-23 06:20:56.505]Killed by external signal
.
21/08/23 06:20:57 WARN scheduler.TaskSetManager: Lost task 0.1 in stage 11.0 (TID 3650, ip-172-31-41-129.us-east-2.compute.internal, executor 3): FetchFailed(null, shuffleId=2, mapIndex=-1, mapId=-1, reduceId=0, message=
org.apache.spark.shuffle.MetadataFetchFailedException: Missing an output location for shuffle 2
	at org.apache.spark.MapOutputTracker$.$anonfun$convertMapStatuses$2(MapOutputTracker.scala:1010)
	at org.apache.spark.MapOutputTracker$.$anonfun$convertMapStatuses$2$adapted(MapOutputTracker.scala:1006)
	at scala.collection.Iterator.foreach(Iterator.scala:941)
	at scala.collection.Iterator.foreach$(Iterator.scala:941)
	at scala.collection.AbstractIterator.foreach(Iterator.scala:1429)
	at org.apache.spark.MapOutputTracker$.convertMapStatuses(MapOutputTracker.scala:1006)
	at org.apache.spark.MapOutputTrackerWorker.getMapSizesByExecutorId(MapOutputTracker.scala:811)
	at org.apache.spark.shuffle.sort.SortShuffleManager.getReader(SortShuffleManager.scala:128)
	at org.apache.spark.sql.execution.ShuffledRowRDD.compute(ShuffledRowRDD.scala:185)
	at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:349)
	at org.apache.spark.rdd.RDD.iterator(RDD.scala:313)
	at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
	at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:349)
	at org.apache.spark.rdd.RDD.iterator(RDD.scala:313)
	at org.apache.spark.sql.execution.SQLExecutionRDD.compute(SQLExecutionRDD.scala:55)
	at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:349)
	at org.apache.spark.rdd.RDD.iterator(RDD.scala:313)
	at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
	at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:349)
	at org.apache.spark.rdd.RDD.iterator(RDD.scala:313)
	at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
	at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:349)
	at org.apache.spark.rdd.RDD.iterator(RDD.scala:313)
	at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
	at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:349)
	at org.apache.spark.rdd.RDD.iterator(RDD.scala:313)
	at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
	at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:349)
	at org.apache.spark.rdd.RDD.iterator(RDD.scala:313)
	at org.apache.spark.shuffle.ShuffleWriteProcessor.write(ShuffleWriteProcessor.scala:59)
	at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:99)
	at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:52)
	at org.apache.spark.scheduler.Task.run(Task.scala:127)
	at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:446)
	at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1377)
	at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:449)
	at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
	at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
	at java.lang.Thread.run(Thread.java:748)