[Bug] Can not find suitable driver at first try when using spark + Iceberg(JDBC catalog)

### Code of Conduct

- [X] I agree to follow this project's [Code of Conduct](https://www.apache.org/foundation/policies/conduct)

### Search before asking

- [X] I have searched in the [issues](https://github.com/apache/kyuubi/issues?q=is%3Aissue) and found no similar issues.

### Describe the bug

Spark and Iceberg work well. After adding Kyuubi, the first "show tables" command always throw an error `org.apache.iceberg.jdbc.UncheckedSQLException: Failed to connect: jdbc:mysql: xxx Caused by: java.sql.SQLException: No suitable driver found for jdbc:mysql: xxx`.

Whenever I create a new connection and try to read Catalog information for the first time, this error appears. When I try to read again within the same connection, the information is returned successfully. I have retried multiple times, and this problem consistently appears. Additionally, when I use Spark alone without Kyuubi, this problem does not occur.

### Affects Version(s)

1.6.1

### Kyuubi Server Log Output

```logtalk
Caused by: java.sql.SQLException: No suitable driver found for jdbc:mysql://host:3306/iceberg_catalog
at java.sql.DriverManager.getConnection(DriverManager.java:689)
at java.sql.DriverManager.getConnection(DriverManager.java:208)
at org.apache.iceberg.jdbc.JdbcClientPool.newClient(JdbcClientPool.java:55)
... 86 more

at org.apache.kyuubi.KyuubiSQLException$.apply(KyuubiSQLException.scala:69)
at org.apache.kyuubi.operation.ExecuteStatement.waitStatementComplete(ExecuteStatement.scala:119)
at org.apache.kyuubi.operation.ExecuteStatement.$anonfun$runInternal$1(ExecuteStatement.scala:154)
at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
at java.util.concurrent.FutureTask.run(FutureTask.java:266)
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:748) (state=,code=0)
```

### Kyuubi Engine Log Output

```logtalk
23/02/23 10:58:28 ERROR ExecuteStatement: Error operating ExecuteStatement: org.apache.iceberg.jdbc.UncheckedSQLException: Failed to connect: jdbc:mysql://host:3306/iceberg_catalog
at org.apache.iceberg.jdbc.JdbcClientPool.newClient(JdbcClientPool.java:57)
at org.apache.iceberg.jdbc.JdbcClientPool.newClient(JdbcClientPool.java:30)
at org.apache.iceberg.ClientPoolImpl.get(ClientPoolImpl.java:125)
at org.apache.iceberg.ClientPoolImpl.run(ClientPoolImpl.java:56)
at org.apache.iceberg.ClientPoolImpl.run(ClientPoolImpl.java:51)
at org.apache.iceberg.jdbc.JdbcCatalog.initializeCatalogTables(JdbcCatalog.java:121)
at org.apache.iceberg.jdbc.JdbcCatalog.initialize(JdbcCatalog.java:106)
at org.apache.iceberg.CatalogUtil.loadCatalog(CatalogUtil.java:238)
at org.apache.iceberg.CatalogUtil.buildIcebergCatalog(CatalogUtil.java:283)
at org.apache.iceberg.spark.SparkCatalog.buildIcebergCatalog(SparkCatalog.java:129)
at org.apache.iceberg.spark.SparkCatalog.initialize(SparkCatalog.java:519)
at org.apache.spark.sql.connector.catalog.Catalogs$.load(Catalogs.scala:60)
at org.apache.spark.sql.connector.catalog.CatalogManager.$anonfun$catalog$1(CatalogManager.scala:53)
at scala.collection.mutable.HashMap.getOrElseUpdate(HashMap.scala:86)
at org.apache.spark.sql.connector.catalog.CatalogManager.catalog(CatalogManager.scala:53)
at org.apache.spark.sql.connector.catalog.LookupCatalog$CatalogAndNamespace$.unapply(LookupCatalog.scala:86)
at org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveNamespace$$anonfun$apply$11.applyOrElse(Analyzer.scala:877)
at org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveNamespace$$anonfun$apply$11.applyOrElse(Analyzer.scala:864)
at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.$anonfun$resolveOperatorsDownWithPruning$2(AnalysisHelper.scala:170)
at org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(TreeNode.scala:176)
at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.$anonfun$resolveOperatorsDownWithPruning$1(AnalysisHelper.scala:170)
at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper$.allowInvokingTransformsInAnalyzer(AnalysisHelper.scala:323)
at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.resolveOperatorsDownWithPruning(AnalysisHelper.scala:168)
at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.resolveOperatorsDownWithPruning$(AnalysisHelper.scala:164)
at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.resolveOperatorsDownWithPruning(LogicalPlan.scala:30)
at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.$anonfun$resolveOperatorsDownWithPruning$4(AnalysisHelper.scala:175)
at org.apache.spark.sql.catalyst.trees.UnaryLike.mapChildren(TreeNode.scala:1228)
at org.apache.spark.sql.catalyst.trees.UnaryLike.mapChildren$(TreeNode.scala:1227)
at org.apache.spark.sql.catalyst.plans.logical.ShowTables.mapChildren(v2Commands.scala:690)
at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.$anonfun$resolveOperatorsDownWithPruning$1(AnalysisHelper.scala:175)
at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper$.allowInvokingTransformsInAnalyzer(AnalysisHelper.scala:323)
at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.resolveOperatorsDownWithPruning(AnalysisHelper.scala:168)
at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.resolveOperatorsDownWithPruning$(AnalysisHelper.scala:164)
at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.resolveOperatorsDownWithPruning(LogicalPlan.scala:30)
at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.resolveOperatorsWithPruning(AnalysisHelper.scala:99)
at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.resolveOperatorsWithPruning$(AnalysisHelper.scala:96)
at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.resolveOperatorsWithPruning(LogicalPlan.scala:30)
at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.resolveOperators(AnalysisHelper.scala:76)
at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.resolveOperators$(AnalysisHelper.scala:75)
at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.resolveOperators(LogicalPlan.scala:30)
at org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveNamespace.apply(Analyzer.scala:864)
at org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveNamespace.apply(Analyzer.scala:862)
at org.apache.spark.sql.catalyst.rules.RuleExecutor.$anonfun$execute$2(RuleExecutor.scala:211)
at scala.collection.LinearSeqOptimized.foldLeft(LinearSeqOptimized.scala:126)
at scala.collection.LinearSeqOptimized.foldLeft$(LinearSeqOptimized.scala:122)
at scala.collection.immutable.List.foldLeft(List.scala:91)
at org.apache.spark.sql.catalyst.rules.RuleExecutor.$anonfun$execute$1(RuleExecutor.scala:208)
at org.apache.spark.sql.catalyst.rules.RuleExecutor.$anonfun$execute$1$adapted(RuleExecutor.scala:200)
at scala.collection.immutable.List.foreach(List.scala:431)
at org.apache.spark.sql.catalyst.rules.RuleExecutor.execute(RuleExecutor.scala:200)
at org.apache.spark.sql.catalyst.analysis.Analyzer.org$apache$spark$sql$catalyst$analysis$Analyzer$$executeSameContext(Analyzer.scala:227)
at org.apache.spark.sql.catalyst.analysis.Analyzer.$anonfun$execute$1(Analyzer.scala:223)
at org.apache.spark.sql.catalyst.analysis.AnalysisContext$.withNewAnalysisContext(Analyzer.scala:172)
at org.apache.spark.sql.catalyst.analysis.Analyzer.execute(Analyzer.scala:223)
at org.apache.spark.sql.catalyst.analysis.Analyzer.execute(Analyzer.scala:187)
at org.apache.spark.sql.catalyst.rules.RuleExecutor.$anonfun$executeAndTrack$1(RuleExecutor.scala:179)
at org.apache.spark.sql.catalyst.QueryPlanningTracker$.withTracker(QueryPlanningTracker.scala:88)
at org.apache.spark.sql.catalyst.rules.RuleExecutor.executeAndTrack(RuleExecutor.scala:179)
at org.apache.spark.sql.catalyst.analysis.Analyzer.$anonfun$executeAndCheck$1(Analyzer.scala:208)
at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper$.markInAnalyzer(AnalysisHelper.scala:330)
at org.apache.spark.sql.catalyst.analysis.Analyzer.executeAndCheck(Analyzer.scala:207)
at org.apache.spark.sql.execution.QueryExecution.$anonfun$analyzed$1(QueryExecution.scala:76)
at org.apache.spark.sql.catalyst.QueryPlanningTracker.measurePhase(QueryPlanningTracker.scala:111)
at org.apache.spark.sql.execution.QueryExecution.$anonfun$executePhase$2(QueryExecution.scala:185)
at org.apache.spark.sql.execution.QueryExecution$.withInternalError(QueryExecution.scala:510)
at org.apache.spark.sql.execution.QueryExecution.$anonfun$executePhase$1(QueryExecution.scala:185)
at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:779)
at org.apache.spark.sql.execution.QueryExecution.executePhase(QueryExecution.scala:184)
at org.apache.spark.sql.execution.QueryExecution.analyzed$lzycompute(QueryExecution.scala:76)
at org.apache.spark.sql.execution.QueryExecution.analyzed(QueryExecution.scala:74)
at org.apache.spark.sql.execution.QueryExecution.assertAnalyzed(QueryExecution.scala:66)
at org.apache.spark.sql.Dataset$.$anonfun$ofRows$2(Dataset.scala:99)
at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:779)
at org.apache.spark.sql.Dataset$.ofRows(Dataset.scala:97)
at org.apache.spark.sql.SparkSession.$anonfun$sql$1(SparkSession.scala:622)
at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:779)
at org.apache.spark.sql.SparkSession.sql(SparkSession.scala:617)
at org.apache.kyuubi.engine.spark.operation.ExecuteStatement.$anonfun$executeStatement$1(ExecuteStatement.scala:94)
at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23)
at org.apache.kyuubi.engine.spark.operation.SparkOperation.withLocalProperties(SparkOperation.scala:87)
at org.apache.kyuubi.engine.spark.operation.ExecuteStatement.org$apache$kyuubi$engine$spark$operation$ExecuteStatement$$executeStatement(ExecuteStatement.scala:89)
at org.apache.kyuubi.engine.spark.operation.ExecuteStatement$$anon$1.run(ExecuteStatement.scala:125)
at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
at java.util.concurrent.FutureTask.run(FutureTask.java:266)
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:748)
Caused by: java.sql.SQLException: No suitable driver found for jdbc:mysql://host:3306/iceberg_catalog
at java.sql.DriverManager.getConnection(DriverManager.java:689)
at java.sql.DriverManager.getConnection(DriverManager.java:208)
at org.apache.iceberg.jdbc.JdbcClientPool.newClient(JdbcClientPool.java:55)
... 86 more
```

### Kyuubi Server Configurations

```yaml
spark.serializer = org.apache.spark.serializer.KryoSerializer
spark.sql.extensions = org.apache.iceberg.spark.extensions.IcebergSparkSessionExtensions
spark.hive.server2.thrift.resultset.default.fetch.size=10000
spark.master=local[2]

# for iceberg
spark.sql.catalog.demo = org.apache.iceberg.spark.SparkCatalog
spark.sql.catalog.demo.catalog-impl = org.apache.iceberg.jdbc.JdbcCatalog
spark.sql.catalog.demo.uri = jdbc:mysql://host:3306/iceberg_catalog
spark.sql.catalog.demo.jdbc.user = xxx
spark.sql.catalog.demo.jdbc.password = xxx
spark.sql.catalog.demo.driver = com.mysql.jdbc.Driver
spark.sql.catalog.demo.io-impl = org.apache.iceberg.aliyun.oss.OSSFileIO
spark.sql.catalog.demo.oss.endpoint = oss-cn-xxx-internal.aliyuncs.com
spark.sql.catalog.demo.client.access-key-id = xxx
spark.sql.catalog.demo.client.access-key-secret = xxx
spark.sql.catalog.demo.warehouse = xxx
```

### Kyuubi Engine Configurations

_No response_

### Additional context

_No response_

### Are you willing to submit PR?

- [ ] Yes. I would be willing to submit a PR with guidance from the Kyuubi community to fix.
- [ ] No. I cannot submit a PR at this time.