Unable to create any new tables in namespace IllegalStateException

### Describe the bug

Hello,

We wanted to drop some tables form Polaris, this was done using PyIceberg catalog.drop_table in a loop for several hundred tables.

After this we noticed that when trying to create a table, every single time without fail the following exception would be thrown.

Creating a new namespace works fine, creating and dropping tables in that new namespace works fine, reading tables in affected namespace works fine, only issue is creating new tables it seems, and only for this specific namespace.

Does anyone have any ideas what may be the root cause of this?

ServiceFailureException: Server error: IllegalStateException: Unable to resolve sibling entities to validate location - could not resolvenull
at org.apache.iceberg.rest.ErrorHandlers$TableErrorHandler.accept(ErrorHandlers.java:118)
at org.apache.iceberg.rest.ErrorHandlers$TableErrorHandler.accept(ErrorHandlers.java:102)
at org.apache.iceberg.rest.HTTPClient.throwFailure(HTTPClient.java:211)
at org.apache.iceberg.rest.HTTPClient.execute(HTTPClient.java:323)
at org.apache.iceberg.rest.HTTPClient.execute(HTTPClient.java:262)
at org.apache.iceberg.rest.HTTPClient.post(HTTPClient.java:368)
at org.apache.iceberg.rest.RESTClient.post(RESTClient.java:112)
at org.apache.iceberg.rest.RESTSessionCatalog$Builder.create(RESTSessionCatalog.java:737)
at org.apache.iceberg.CachingCatalog$CachingTableBuilder.lambda$create$0(CachingCatalog.java:262)
at org.apache.iceberg.shaded.com.github.benmanes.caffeine.cache.BoundedLocalCache.lambda$doComputeIfAbsent$14(BoundedLocalCache.java:2406)
at java.util.concurrent.ConcurrentHashMap.compute(ConcurrentHashMap.java:1853)
at org.apache.iceberg.shaded.com.github.benmanes.caffeine.cache.BoundedLocalCache.doComputeIfAbsent(BoundedLocalCache.java:2404)
at org.apache.iceberg.shaded.com.github.benmanes.caffeine.cache.BoundedLocalCache.computeIfAbsent(BoundedLocalCache.java:2387)
at org.apache.iceberg.shaded.com.github.benmanes.caffeine.cache.LocalCache.computeIfAbsent(LocalCache.java:108)
at org.apache.iceberg.shaded.com.github.benmanes.caffeine.cache.LocalManualCache.get(LocalManualCache.java:62)
at org.apache.iceberg.CachingCatalog$CachingTableBuilder.create(CachingCatalog.java:258)
at org.apache.iceberg.spark.SparkCatalog.createTable(SparkCatalog.java:247)
at org.apache.spark.sql.connector.catalog.TableCatalog.createTable(TableCatalog.java:246)
at org.apache.spark.sql.execution.datasources.v2.CreateTableExec.run(CreateTableExec.scala:58)
at org.apache.spark.sql.execution.datasources.v2.V2CommandExec.$anonfun$result$2(V2CommandExec.scala:48)
at org.apache.spark.sql.execution.SparkPlan.runCommandInAetherOrSpark(SparkPlan.scala:189)
at org.apache.spark.sql.execution.datasources.v2.V2CommandExec.$anonfun$result$1(V2CommandExec.scala:48)
at com.databricks.spark.util.FrameProfiler$.record(FrameProfiler.scala:94)
at org.apache.spark.sql.execution.datasources.v2.V2CommandExec.result$lzycompute(V2CommandExec.scala:47)
at org.apache.spark.sql.execution.datasources.v2.V2CommandExec.result(V2CommandExec.scala:45)
at org.apache.spark.sql.execution.datasources.v2.V2CommandExec.executeCollect(V2CommandExec.scala:56)
at org.apache.spark.sql.execution.QueryExecution$$anonfun$$nestedInanonfun$eagerlyExecuteCommands$1$1.$anonfun$applyOrElse$5(QueryExecution.scala:425)
at com.databricks.util.LexicalThreadLocal$Handle.runWith(LexicalThreadLocal.scala:63)
at org.apache.spark.sql.execution.QueryExecution$$anonfun$$nestedInanonfun$eagerlyExecuteCommands$1$1.$anonfun$applyOrElse$4(QueryExecution.scala:425)
at org.apache.spark.sql.catalyst.QueryPlanningTracker$.withTracker(QueryPlanningTracker.scala:194)
at org.apache.spark.sql.execution.QueryExecution$$anonfun$$nestedInanonfun$eagerlyExecuteCommands$1$1.$anonfun$applyOrElse$3(QueryExecution.scala:425)
at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId0$10(SQLExecution.scala:475)
at org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:826)
at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId0$1(SQLExecution.scala:334)
at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:1210)
at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId0(SQLExecution.scala:205)
at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:763)
at org.apache.spark.sql.execution.QueryExecution$$anonfun$$nestedInanonfun$eagerlyExecuteCommands$1$1.$anonfun$applyOrElse$2(QueryExecution.scala:421)
at org.apache.spark.sql.execution.QueryExecution$.withInternalError(QueryExecution.scala:1219)
at org.apache.spark.sql.execution.QueryExecution$$anonfun$$nestedInanonfun$eagerlyExecuteCommands$1$1.$anonfun$applyOrElse$1(QueryExecution.scala:417)
at org.apache.spark.sql.execution.QueryExecution.org$apache$spark$sql$execution$QueryExecution$$withMVTagsIfNecessary(QueryExecution.scala:355)
at org.apache.spark.sql.execution.QueryExecution$$anonfun$$nestedInanonfun$eagerlyExecuteCommands$1$1.applyOrElse(QueryExecution.scala:414)
at org.apache.spark.sql.execution.QueryExecution$$anonfun$$nestedInanonfun$eagerlyExecuteCommands$1$1.applyOrElse(QueryExecution.scala:388)
at org.apache.spark.sql.catalyst.trees.TreeNode.$anonfun$transformDownWithPruning$1(TreeNode.scala:511)
at org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(origin.scala:85)
at org.apache.spark.sql.catalyst.trees.TreeNode.transformDownWithPruning(TreeNode.scala:511)
at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.org$apache$spark$sql$catalyst$plans$logical$AnalysisHelper$$super$transformDownWithPruning(LogicalPlan.scala:40)
at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.transformDownWithPruning(AnalysisHelper.scala:379)
at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.transformDownWithPruning$(AnalysisHelper.scala:375)
at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.transformDownWithPruning(LogicalPlan.scala:40)
at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.transformDownWithPruning(LogicalPlan.scala:40)
at org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(TreeNode.scala:487)
at org.apache.spark.sql.execution.QueryExecution.$anonfun$eagerlyExecuteCommands$1(QueryExecution.scala:388)
at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper$.allowInvokingTransformsInAnalyzer(AnalysisHelper.scala:436)
at org.apache.spark.sql.execution.QueryExecution.eagerlyExecuteCommands(QueryExecution.scala:388)
at org.apache.spark.sql.execution.QueryExecution.commandExecuted$lzycompute(QueryExecution.scala:314)
at org.apache.spark.sql.execution.QueryExecution.commandExecuted(QueryExecution.scala:311)
at org.apache.spark.sql.Dataset.(Dataset.scala:343)
at org.apache.spark.sql.Dataset$.$anonfun$ofRows$2(Dataset.scala:131)
at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:1210)
at org.apache.spark.sql.SparkSession.$anonfun$withActiveAndFrameProfiler$1(SparkSession.scala:1217)
at com.databricks.spark.util.FrameProfiler$.record(FrameProfiler.scala:94)
at org.apache.spark.sql.SparkSession.withActiveAndFrameProfiler(SparkSession.scala:1217)
at org.apache.spark.sql.Dataset$.ofRows(Dataset.scala:122)
at org.apache.spark.sql.SparkSession.$anonfun$sql$4(SparkSession.scala:989)
at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:1210)
at org.apache.spark.sql.SparkSession.sql(SparkSession.scala:973)
at org.apache.spark.sql.SparkSession.sql(SparkSession.scala:1012)

### To Reproduce

_No response_

### Actual Behavior

_No response_

### Expected Behavior

_No response_

### Additional context

_No response_

### System information

_No response_

Start with the reported PyIceberg drop_table loop and the Java stack entries RESTSessionCatalog$Builder.create and SparkCatalog.createTable. No test or source file is named; reproduce the namespace-specific failure and verify that creating a table after repeated drops no longer throws the reported exception.

Written by the indexing model from the issue text.