After flink creates and writes the table, the spark alter table reports an error

After flink creates and writes the table, the spark alter table reports an error

 
*  flink

CREATE CATALOG myhudi WITH(
'type' = 'hudi',
'default-database' = 'default',
'mode' = 'hms',
'hive.conf.dir' = 'hdfs:///gdp-dev-3/flink/flink-conf'
);

create database if not exists myhudi.test_hudi3;
drop table if exists  myhudi.test_hudi3.hudi_test19;

create table if not exists myhudi.test_hudi3.hudi_test19
(id bigint not null comment 'comment_test', `name` string  not null  comment 'comment_test2', ts3 bigint
    ,PRIMARY KEY (`id`) NOT ENFORCED
    )
    with('connector' = 'hudi',
        'table.type' = 'COPY_ON_WRITE',
        'index.type'= 'BUCKET',
        'precombine.field' = 'ts3',
        'hoodie.datasource.hive_sync.sync_comment' = 'true');

show create table myhudi.test_hudi3.hudi_test19;

insert into myhudi.test_hudi3.hudi_test19
values
(1, 'cc1', 1); 

• spark

  alter table test_hudi3.hudi_test19 add column c string; 

  *  error

  org.apache.kyuubi.KyuubiSQLException: org.apache.kyuubi.KyuubiSQLException: Error operating ExecuteStatement: org.apache.spark.sql.AnalysisException: org.apache.hadoop.hive.ql.metadata.HiveException: Unable to alter table. The following columns have types incompatible with the existing columns in their respective positions :
  col
     at org.apache.spark.sql.hive.HiveExternalCatalog.withClient(HiveExternalCatalog.scala:110)
     at org.apache.spark.sql.hive.HiveExternalCatalog.alterTableDataSchema(HiveExternalCatalog.scala:679)
     at org.apache.spark.sql.catalyst.catalog.ExternalCatalogWithListener.alterTableDataSchema(ExternalCatalogWithListener.scala:124)
     at org.apache.spark.sql.catalyst.catalog.SessionCatalog.alterTableDataSchema(SessionCatalog.scala:459)
     at org.apache.spark.sql.hudi.command.AlterHoodieTableAddColumnsCommand.refreshSchemaInMeta(AlterHoodieTableAddColumnsCommand.scala:90)
     at org.apache.spark.sql.hudi.command.AlterHoodieTableAddColumnsCommand.run(AlterHoodieTableAddColumnsCommand.scala:70)
     at org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult$lzycompute(commands.scala:75)
     at org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult(commands.scala:73)
     at org.apache.spark.sql.execution.command.ExecutedCommandExec.executeCollect(commands.scala:84)
     at org.apache.spark.sql.execution.QueryExecution$$anonfun$eagerlyExecuteCommands$1.$anonfun$applyOrElse$1(QueryExecution.scala:98)
     at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$6(SQLExecution.scala:109)
     at org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:169)
     at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$1(SQLExecution.scala:95)
     at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:779)
     at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:64)
     at org.apache.spark.sql.execution.QueryExecution$$anonfun$eagerlyExecuteCommands$1.applyOrElse(QueryExecution.scala:98)
     at org.apache.spark.sql.execution.QueryExecution$$anonfun$eagerlyExecuteCommands$1.applyOrElse(QueryExecution.scala:94)
     at org.apache.spark.sql.catalyst.trees.TreeNode.$anonfun$transformDownWithPruning$1(TreeNode.scala:584)
     at org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(TreeNode.scala:176)
     at org.apache.spark.sql.catalyst.trees.TreeNode.transformDownWithPruning(TreeNode.scala:584)