[SUPPORT] Alter table change column type, then query table get NullPointerException

**To Reproduce**

Spark-sql execute blew sql command:

```
CREATE TABLE hudi_table1 (
ts BIGINT,
uuid STRING,
rider STRING,
driver STRING,
fare DOUBLE,
city STRING
)
USING HUDI options(type='cow',primaryKey='ts',hoodie.datasource.write.recordkey.field='ts',hoodie.bucket.index.hash.field='ts',hoodie.bucket.index.num.buckets=10,hoodie.index.bucket.engine='SIMPLE',hoodie.index.type='BUCKET',hoodie.clustering.plan.strategy.sort.columns='ts')
PARTITIONED BY (city);
```

```
INSERT INTO hudi_table1
VALUES
(1695159649087,'334e26e9-8355-45cc-97c6-c31daf0df330','rider-A','driver-K',19.10,'san_francisco');

set hoodie.schema.on.read.enable=true;
set spark.sql.catalog.spark_catalog=org.apache.spark.sql.hudi.catalog.HoodieCatalog;
ALTER TABLE hudi_table1 CHANGE COLUMN fare fare decimal;

SELECT * FROM hudi_table1;
```

**Expected behavior**

Query success.

**Environment Description**

* Hudi version : 0.14.1

* Spark version : 3.3.1

* Hive version : 3.1

* Hadoop version : 3.3.1

* Storage : HDFS

* Running on Docker? (yes/no) : yes

**Stacktrace**

24/11/16 17:19:59 ERROR Executor: Exception in task 0.0 in stage 40.0 (TID 80)
java.lang.NullPointerException
at org.apache.spark.sql.execution.vectorized.OnHeapColumnVector.getLong(OnHeapColumnVector.java:380)
at org.apache.spark.sql.execution.vectorized.WritableColumnVector.getDecimal(WritableColumnVector.java:396)
at org.apache.spark.sql.vectorized.ColumnarBatchRow.getDecimal(ColumnarBatchRow.java:121)
at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(Unknown Source)
at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
at org.apache.spark.sql.execution.WholeStageCodegenExec$$anon$1.hasNext(WholeStageCodegenExec.scala:760)
at org.apache.spark.sql.execution.SparkPlan.$anonfun$getByteArrayRdd$1(SparkPlan.scala:364)
at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2(RDD.scala:889)
at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2$adapted(RDD.scala:889)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:365)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:329)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
at org.apache.spark.scheduler.Task.run(Task.scala:136)
at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$5(Executor.scala:568)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1645)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:571)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:750)
24/11/16 17:19:59 WARN TaskSetManager: Lost task 0.0 in stage 40.0 (TID 80) (xxx executor driver): java.lang.NullPointerException
at org.apache.spark.sql.execution.vectorized.OnHeapColumnVector.getLong(OnHeapColumnVector.java:380)
at org.apache.spark.sql.execution.vectorized.WritableColumnVector.getDecimal(WritableColumnVector.java:396)
at org.apache.spark.sql.vectorized.ColumnarBatchRow.getDecimal(ColumnarBatchRow.java:121)
at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(Unknown Source)
at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
at org.apache.spark.sql.execution.WholeStageCodegenExec$$anon$1.hasNext(WholeStageCodegenExec.scala:760)
at org.apache.spark.sql.execution.SparkPlan.$anonfun$getByteArrayRdd$1(SparkPlan.scala:364)
at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2(RDD.scala:889)
at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2$adapted(RDD.scala:889)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:365)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:329)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
at org.apache.spark.scheduler.Task.run(Task.scala:136)
at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$5(Executor.scala:568)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1645)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:571)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:750)

24/11/16 17:19:59 ERROR TaskSetManager: Task 0 in stage 40.0 failed 1 times; aborting job
24/11/16 17:19:59 INFO TaskSchedulerImpl: Removed TaskSet 40.0, whose tasks have all completed, from pool
24/11/16 17:19:59 INFO TaskSchedulerImpl: Cancelling stage 40
24/11/16 17:19:59 INFO TaskSchedulerImpl: Killing all running tasks in stage 40: Stage cancelled
24/11/16 17:19:59 INFO DAGScheduler: ResultStage 40 (collect at SparkPlan.scala:424) failed in 0.064 s due to Job aborted due to stage failure: Task 0 in stage 40.0 failed 1 times, most recent failure: Lost task 0.0 in stage 40.0 (TID 80) (xxxx executor driver): java.lang.NullPointerException
at org.apache.spark.sql.execution.vectorized.OnHeapColumnVector.getLong(OnHeapColumnVector.java:380)
at org.apache.spark.sql.execution.vectorized.WritableColumnVector.getDecimal(WritableColumnVector.java:396)
at org.apache.spark.sql.vectorized.ColumnarBatchRow.getDecimal(ColumnarBatchRow.java:121)
at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(Unknown Source)
at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
at org.apache.spark.sql.execution.WholeStageCodegenExec$$anon$1.hasNext(WholeStageCodegenExec.scala:760)
at org.apache.spark.sql.execution.SparkPlan.$anonfun$getByteArrayRdd$1(SparkPlan.scala:364)
at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2(RDD.scala:889)
at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2$adapted(RDD.scala:889)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:365)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:329)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
at org.apache.spark.scheduler.Task.run(Task.scala:136)
at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$5(Executor.scala:568)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1645)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:571)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:750)

Driver stacktrace:
24/11/16 17:19:59 INFO AppStatusListener: total cpuCost for the job 33 is 53
24/11/16 17:19:59 INFO DAGScheduler: Job 33 failed: collect at SparkPlan.scala:424, took 0.069865 s
24/11/16 17:19:59 INFO SQLDefense: {"engine":"SPARK","instanceId":"c0e4827d-4e0e-4fe1-aae7-f5d97771d885","queryId":38,"querySql":"select * from hudi_table1","status":"Failed","executionTime":"106","queuedTime":"","startTime":"2024-11-16 17:19:59","endTime":"2024-11-16 17:19:59","userName":"xxxxx","userIP":"xxx","inputRow":0,"inputData":0,"writtenRow":0,"writtenData":0,"resultRow":0,"resultData":"","assignedMemory":"","totalMemory":"","cpuTime":101,"scanPartitions":"List()","scanFiles":"List()","splits":"","tasks":"","SQLDefense":[]}

org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 40.0 failed 1 times, most recent failure: Lost task 0.0 in stage 40.0 (TID 80) (76.77.7.42 executor driver): java.lang.NullPointerException
at org.apache.spark.sql.execution.vectorized.OnHeapColumnVector.getLong(OnHeapColumnVector.java:380)
at org.apache.spark.sql.execution.vectorized.WritableColumnVector.getDecimal(WritableColumnVector.java:396)
at org.apache.spark.sql.vectorized.ColumnarBatchRow.getDecimal(ColumnarBatchRow.java:121)
at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(Unknown Source)
at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
at org.apache.spark.sql.execution.WholeStageCodegenExec$$anon$1.hasNext(WholeStageCodegenExec.scala:760)
at org.apache.spark.sql.execution.SparkPlan.$anonfun$getByteArrayRdd$1(SparkPlan.scala:364)
at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2(RDD.scala:889)
at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2$adapted(RDD.scala:889)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:365)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:329)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
at org.apache.spark.scheduler.Task.run(Task.scala:136)
at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$5(Executor.scala:568)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1645)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:571)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:750)

Driver stacktrace:
at org.apache.spark.scheduler.DAGScheduler.failJobAndIndependentStages(DAGScheduler.scala:2793)
at org.apache.spark.scheduler.DAGScheduler.$anonfun$abortStage$2(DAGScheduler.scala:2729)
at org.apache.spark.scheduler.DAGScheduler.$anonfun$abortStage$2$adapted(DAGScheduler.scala:2728)
at scala.collection.mutable.ResizableArray.foreach(ResizableArray.scala:62)
at scala.collection.mutable.ResizableArray.foreach$(ResizableArray.scala:55)
at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:49)
at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:2728)
at org.apache.spark.scheduler.DAGScheduler.$anonfun$handleTaskSetFailed$1(DAGScheduler.scala:1247)
at org.apache.spark.scheduler.DAGScheduler.$anonfun$handleTaskSetFailed$1$adapted(DAGScheduler.scala:1247)
at scala.Option.foreach(Option.scala:407)
at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:1247)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:2987)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2923)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2912)
at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:49)
at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:1015)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2432)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2453)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2472)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2497)
at org.apache.spark.rdd.RDD.$anonfun$collect$1(RDD.scala:1020)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)
at org.apache.spark.rdd.RDD.withScope(RDD.scala:405)
at org.apache.spark.rdd.RDD.collect(RDD.scala:1019)
at org.apache.spark.sql.execution.SparkPlan.executeCollect(SparkPlan.scala:424)
at org.apache.spark.sql.execution.SparkPlan.executeCollectPublic(SparkPlan.scala:451)
at org.apache.spark.sql.execution.HiveResult$.hiveResultString(HiveResult.scala:76)
at org.apache.spark.sql.hive.thriftserver.SparkSQLDriver.$anonfun$run$2(SparkSQLDriver.scala:69)
at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$6(SQLExecution.scala:125)
at org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:187)
at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$1(SQLExecution.scala:107)
at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:958)
at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:69)
at org.apache.spark.sql.hive.thriftserver.SparkSQLDriver.run(SparkSQLDriver.scala:69)
at org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.processCmd(SparkSQLCLIDriver.scala:417)
at org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.$anonfun$processLine$1(SparkSQLCLIDriver.scala:566)
at org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.$anonfun$processLine$1$adapted(SparkSQLCLIDriver.scala:560)
at scala.collection.Iterator.foreach(Iterator.scala:943)
at scala.collection.Iterator.foreach$(Iterator.scala:943)
at scala.collection.AbstractIterator.foreach(Iterator.scala:1431)
at scala.collection.IterableLike.foreach(IterableLike.scala:74)
at scala.collection.IterableLike.foreach$(IterableLike.scala:73)
at scala.collection.AbstractIterable.foreach(Iterable.scala:56)
at org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.processLine(SparkSQLCLIDriver.scala:560)
at org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver$.main(SparkSQLCLIDriver.scala:293)
at org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.main(SparkSQLCLIDriver.scala)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498)
at org.apache.spark.deploy.JavaMainApplication.start(SparkApplication.scala:52)
at org.apache.spark.deploy.SparkSubmit.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:1013)
at org.apache.spark.deploy.SparkSubmit.doRunMain$1(SparkSubmit.scala:180)
at org.apache.spark.deploy.SparkSubmit.submit(SparkSubmit.scala:203)
at org.apache.spark.deploy.SparkSubmit.doSubmit(SparkSubmit.scala:90)
at org.apache.spark.deploy.SparkSubmit$$anon$2.doSubmit(SparkSubmit.scala:1101)
at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:1110)
at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
Caused by: java.lang.NullPointerException
at org.apache.spark.sql.execution.vectorized.OnHeapColumnVector.getLong(OnHeapColumnVector.java:380)
at org.apache.spark.sql.execution.vectorized.WritableColumnVector.getDecimal(WritableColumnVector.java:396)
at org.apache.spark.sql.vectorized.ColumnarBatchRow.getDecimal(ColumnarBatchRow.java:121)
at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(Unknown Source)
at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
at org.apache.spark.sql.execution.WholeStageCodegenExec$$anon$1.hasNext(WholeStageCodegenExec.scala:760)
at org.apache.spark.sql.execution.SparkPlan.$anonfun$getByteArrayRdd$1(SparkPlan.scala:364)
at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2(RDD.scala:889)
at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2$adapted(RDD.scala:889)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:365)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:329)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
at org.apache.spark.scheduler.Task.run(Task.scala:136)
at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$5(Executor.scala:568)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1645)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:571)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:750)

Start by reproducing the CREATE TABLE, INSERT, ALTER TABLE CHANGE COLUMN, and SELECT sequence from the issue, then trace the ALTER TABLE path and the Spark vectorized decimal read shown in OnHeapColumnVector.getLong and WritableColumnVector.getDecimal. Done means the SELECT succeeds after changing fare from DOUBLE to DECIMAL without a NullPointerException.

Written by the indexing model from the issue text.