[SUPPORT] spark task execute too long and can not finish when ObjectSizeCalculator.getObjectSize

**_Tips before filing an issue_**

**Describe the problem you faced**

like #10504 , in different func

```shell
java.lang.Object.wait(Native Method)
java.lang.Object.wait(Object.java:502)
java.lang.UNIXProcess.waitFor(UNIXProcess.java:396)
org.apache.hudi.org.openjdk.jol.vm.sa.ServiceabilityAgentSupport.callAgent(ServiceabilityAgentSupport.java:190)
org.apache.hudi.org.openjdk.jol.vm.sa.ServiceabilityAgentSupport.callAgent(ServiceabilityAgentSupport.java:163)
org.apache.hudi.org.openjdk.jol.vm.sa.ServiceabilityAgentSupport.getUniverseData(ServiceabilityAgentSupport.java:301)
org.apache.hudi.org.openjdk.jol.vm.VM.current(VM.java:77)
org.apache.hudi.org.openjdk.jol.info.GraphWalker.walk(GraphWalker.java:97)
org.apache.hudi.org.openjdk.jol.info.GraphLayout.parseInstance(GraphLayout.java:54)
org.apache.hudi.common.util.ObjectSizeCalculator.getObjectSize(ObjectSizeCalculator.java:57)
org.apache.hudi.common.util.HoodieRecordSizeEstimator.(HoodieRecordSizeEstimator.java:40)
org.apache.hudi.common.table.log.HoodieMergedLogRecordScanner.(HoodieMergedLogRecordScanner.java:107)
org.apache.hudi.common.table.log.HoodieMergedLogRecordScanner.(HoodieMergedLogRecordScanner.java:74)
org.apache.hudi.common.table.log.HoodieMergedLogRecordScanner$Builder.build(HoodieMergedLogRecordScanner.java:465)
org.apache.hudi.LogFileIterator$.$anonfun$scanLog$1(Iterators.scala:329)
org.apache.hudi.LogFileIterator$$$Lambda$1054/69444513.apply(Unknown Source)
org.apache.spark.sql.hive.HadoopUgiUtils$$anon$1.run(HadoopUgiUtils.scala:54)
java.security.AccessController.doPrivileged(Native Method)
javax.security.auth.Subject.doAs(Subject.java:422)
org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1989)
org.apache.spark.sql.hive.HadoopUgiUtils$.doAsWithHiveSuperUser(HadoopUgiUtils.scala:53)
org.apache.hudi.LogFileIterator$.scanLog(Iterators.scala:261)
org.apache.hudi.LogFileIterator.(Iterators.scala:93)
org.apache.hudi.RecordMergingFileIterator.(Iterators.scala:173)
org.apache.hudi.HoodieMergeOnReadRDD.compute(HoodieMergeOnReadRDD.scala:100)
org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:369)
org.apache.spark.rdd.RDD.iterator(RDD.scala:333)
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:369)
org.apache.spark.rdd.RDD.iterator(RDD.scala:333)
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:369)
org.apache.spark.rdd.RDD.iterator(RDD.scala:333)
org.apache.spark.shuffle.ShuffleWriteProcessor.write(ShuffleWriteProcessor.scala:59)
org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:99)
org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:52)
org.apache.spark.scheduler.Task.run(Task.scala:131)
org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:506)
org.apache.spark.executor.Executor$TaskRunner$$Lambda$476/220247377.apply(Unknown Source)
org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1463)
org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:509)
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
java.lang.Thread.run(Thread.java:745)
```

**To Reproduce**

can not reporduce

**Expected behavior**

**Environment Description**

* Hudi version : 0.13.1

* Spark version : 3.2

* Hive version :

* Hadoop version :

* Storage (HDFS/S3/GCS..) :

* Running on Docker? (yes/no) :

Start with org.apache.hudi.common.util.ObjectSizeCalculator.getObjectSize and the stack path through HoodieRecordSizeEstimator and HoodieMergedLogRecordScanner. Review how the Spark task reaches this code and investigate the reported wait in ServiceabilityAgentSupport. The issue has no reproducible case, so done should include a confirmed cause and evidence that the task can finish normally.

Written by the indexing model from the issue text.