Fail to submit the OpenMLDB offline job with Spark 3.0 java client

0.6.4 with Spark 3.2.1 is supported but the latest 0.8.2 is not supported.

Here is the related error message.

```
Caused by: java.io.IOException: Could not read footer for file: FileStatus{path=hdfs://cmos-app1:8020/user/work/workspace/user_testab/telamon/1/e33af9e7-bfa2-4171-b37c-a9cbf3c91d23/t1_table/_common_metadata; isDirectory=false; length=166; replication=0; blocksize=0; modification_time=0; access_time=0; owner=; group=; permission=rw-rw-rw-; isSymlink=false; hasAcl=false; isEncrypted=false; isErasureCoded=false}
at org.apache.spark.sql.errors.QueryExecutionErrors$.cannotReadFooterForFileError(QueryExecutionErrors.scala:726)
at org.apache.spark.sql.execution.datasources.parquet.ParquetFileFormat$.$anonfun$readParquetFootersInParallel$1(ParquetFileFormat.scala:494)
at org.apache.spark.util.ThreadUtils$.$anonfun$parmap$2(ThreadUtils.scala:372)
at scala.concurrent.Future$.$anonfun$apply$1(Future.scala:659)
at scala.util.Success.$anonfun$map$1(Try.scala:255)
at scala.util.Success.map(Try.scala:213)
at scala.concurrent.Future.$anonfun$map$1(Future.scala:292)
at scala.concurrent.impl.Promise.liftedTree1$1(Promise.scala:33)
at scala.concurrent.impl.Promise.$anonfun$transform$1(Promise.scala:33)
at scala.concurrent.impl.CallbackRunnable.run(Promise.scala:64)
at java.util.concurrent.ForkJoinTask$RunnableExecuteAction.exec(ForkJoinTask.java:1402)
at java.util.concurrent.ForkJoinTask.doExec(ForkJoinTask.java:289)
at java.util.concurrent.ForkJoinPool$WorkQueue.runTask(ForkJoinPool.java:1056)
at java.util.concurrent.ForkJoinPool.runWorker(ForkJoinPool.java:1692)
at java.util.concurrent.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:157)
Caused by: java.lang.ClassCastException: org.apache.hadoop.hdfs.protocol.proto.ClientNamenodeProtocolProtos$GetBlockLocationsRequestProto cannot be cast to org.apache.hadoop.shaded.com.google.protobuf.Message
at org.apache.hadoop.ipc.ProtobufRpcEngine$Invoker.invoke(ProtobufRpcEngine.java:233)
at org.apache.hadoop.ipc.ProtobufRpcEngine$Invoker.invoke(ProtobufRpcEngine.java:123)
at com.sun.proxy.$Proxy19.getBlockLocations(Unknown Source)
at org.apache.hadoop.hdfs.protocolPB.ClientNamenodeProtocolTranslatorPB.getBlockLocations(ClientNamenodeProtocolTranslatorPB.java:333)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498)
at org.apache.hadoop.io.retry.RetryInvocationHandler.invokeMethod(RetryInvocationHandler.java:422)
at org.apache.hadoop.io.retry.RetryInvocationHandler$Call.invokeMethod(RetryInvocationHandler.java:165)
at org.apache.hadoop.io.retry.RetryInvocationHandler$Call.invoke(RetryInvocationHandler.java:157)
at org.apache.hadoop.io.retry.RetryInvocationHandler$Call.invokeOnce(RetryInvocationHandler.java:95)
at org.apache.hadoop.io.retry.RetryInvocationHandler.invoke(RetryInvocationHandler.java:359)
at com.sun.proxy.$Proxy20.getBlockLocations(Unknown Source)
at org.apache.hadoop.hdfs.DFSClient.callGetBlockLocations(DFSClient.java:892)
at org.apache.hadoop.hdfs.DFSClient.getLocatedBlocks(DFSClient.java:881)
at org.apache.hadoop.hdfs.DFSClient.getLocatedBlocks(DFSClient.java:870)
at org.apache.hadoop.hdfs.DFSClient.open(DFSClient.java:1038)
at org.apache.hadoop.hdfs.DistributedFileSystem$4.doCall(DistributedFileSystem.java:339)
at org.apache.hadoop.hdfs.DistributedFileSystem$4.doCall(DistributedFileSystem.java:335)
at org.apache.hadoop.fs.FileSystemLinkResolver.resolve(FileSystemLinkResolver.java:81)
at org.apache.hadoop.hdfs.DistributedFileSystem.open(DistributedFileSystem.java:352)
at org.apache.hadoop.fs.FileSystem.open(FileSystem.java:976)
at org.apache.parquet.hadoop.util.HadoopInputFile.newStream(HadoopInputFile.java:69)
at org.apache.parquet.hadoop.ParquetFileReader.(ParquetFileReader.java:773)
at org.apache.parquet.hadoop.ParquetFileReader.open(ParquetFileReader.java:657)
at org.apache.spark.sql.execution.datasources.parquet.ParquetFooterReader.readFooter(ParquetFooterReader.java:53)
at org.apache.spark.sql.execution.datasources.parquet.ParquetFooterReader.readFooter(ParquetFooterReader.java:44)
at org.apache.spark.sql.execution.datasources.parquet.ParquetFileFormat$.$anonfun$readParquetFootersInParallel$1(ParquetFileFormat.scala:488)
... 13 more
```

The error is a ClassCastException in Hadoop's ProtobufRpcEngine when reading Parquet footers via Spark 3.0 client. Look at the Spark and Hadoop version compatibility in OpenMLDB's offline job submission code, likely in the Spark connector or job runner. Check dependency conflicts, especially around hadoop-client and protobuf versions. Reproduce with a minimal Spark 3.0 job against HDFS to see if the issue is in OpenMLDB's integration or a broader incompatibility.

索引モデルが issue の本文から書いたものです。