[Bug] Hive DDL and paimon schema mismatched

### Search before asking

- [X] I searched in the [issues](https://github.com/apache/paimon/issues) and found nothing similar.

### Paimon version

Paimon-0.8.1

### Compute Engine

Flink-1.18.1

### Minimal reproduce step

1. Start a Spark offline task containing a large number of tasks to read the Paimon table data
2. During the offline task, add a new field
Not necessarily displayed, there is a high probability！！！

### What doesn't meet your expectations?

The alterTable operation is not atomic. When reading the Paimon table data, the Hive field and Paimon latest-schema information will be checked. There is a certain probability that they will not match and eventually cause query exceptions.

`Hive DDL and paimon schema mismatched! It is recommended not to write any column definition as Paimon external table can read schema from the specified location.
There are 1665 fields in Hive DDL: id, sticky_album_id ......
There are 1666 fields in Paimon schema: id, sticky_album_id ......
at org.apache.paimon.hive.HiveSchema.checkFieldsMatched(HiveSchema.java:249)
at org.apache.paimon.hive.HiveSchema.extract(HiveSchema.java:165)
at org.apache.paimon.hive.PaimonStorageHandler.getDataFieldsJsonStr(PaimonStorageHandler.java:89)
at org.apache.paimon.hive.PaimonStorageHandler.configureInputJobProperties(PaimonStorageHandler.java:84)
at org.apache.spark.sql.hive.HiveTableUtil$.configureJobPropertiesForStorageHandler(TableReader.scala:438)
at org.apache.spark.sql.hive.HadoopTableReader$.initializeLocalJobConfFunc(TableReader.scala:468)
at org.apache.spark.sql.hive.HadoopTableReader.$anonfun$createOldHadoopRDD$1(TableReader.scala:354)
at org.apache.spark.sql.hive.HadoopTableReader.$anonfun$createOldHadoopRDD$1$adapted(TableReader.scala:354)
at org.apache.spark.rdd.HadoopRDD.$anonfun$getJobConf$8(HadoopRDD.scala:184)
at org.apache.spark.rdd.HadoopRDD.$anonfun$getJobConf$8$adapted(HadoopRDD.scala:184)
at scala.Option.foreach(Option.scala:407)
at org.apache.spark.rdd.HadoopRDD.$anonfun$getJobConf$6(HadoopRDD.scala:184)
at scala.Option.getOrElse(Option.scala:189)
at org.apache.spark.rdd.HadoopRDD.getJobConf(HadoopRDD.scala:181)`

### Anything else?

org.apache.paimon.hive.HiveCatalog#alterTableImpl

org.apache.paimon.hive.HiveSchema#checkFieldsMatched

### Are you willing to submit a PR?

- [X] I'm willing to submit a PR!

Start by reading org.apache.paimon.hive.HiveCatalog#alterTableImpl and org.apache.paimon.hive.HiveSchema#checkFieldsMatched, then reproduce a concurrent schema update and read using the reported Spark workflow. Trace how Hive DDL and the latest Paimon schema are observed; done means readers no longer encounter a mismatched schema during alterTable operations.

Written by the indexing model from the issue text.