danhuawang opened a new issue, #10928:
URL: https://github.com/apache/gravitino/issues/10928

   ### Version
   
   main branch
   
   ### Describe what's wrong
   
   create table `test`,`TEST` through spark for a remote IRC
   
   list tables in Spark
   ```
   ./spark-sql
   WARNING: sun.reflect.Reflection.getCallerClass is not supported. This will 
impact performance.
   Setting default log level to "WARN".
   To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use 
setLogLevel(newLevel).
   26/04/30 19:27:46 WARN NativeCodeLoader: Unable to load native-hadoop 
library for your platform... using builtin-java classes where applicable
   26/04/30 19:27:48 WARN HiveConf: HiveConf of name hive.stats.jdbc.timeout 
does not exist
   26/04/30 19:27:48 WARN HiveConf: HiveConf of name hive.stats.retries.wait 
does not exist
   26/04/30 19:27:49 WARN ObjectStore: Version information not found in 
metastore. hive.metastore.schema.verification is not enabled so recording the 
schema version 2.3.0
   26/04/30 19:27:49 WARN ObjectStore: setMetaStoreSchemaVersion called but 
recording version is disabled: version = 2.3.0, comment = Set by MetaStore 
[email protected]
   Spark master: local[*], Application Id: local-1777548467912
   spark-sql (default)> show tables in aws.dml2;
   employees
   test
   TEST
   Time taken: 5.4 seconds, Fetched 3 row(s)
   ```
   
   list tables in Trino:
   ```
   trino --server http://34.138.225.171:8080 --debug
   
   trino> show tables from remote_irc.dml2;
            Table          
   ------------------------
    employees              
    sales_performance_view 
    test                   
   (3 rows)
   
   Query 20260430_112221_00081_p5mkp, FINISHED, 1 node
   http://34.138.225.171:8080/ui/query.html?20260430_112221_00081_p5mkp
   Splits: 5 total, 5 done (100.00%)
   CPU Time: 0.0s total,    81 rows/s, 7.05KB/s, 7% active
   Per Node: 0.0 parallelism,     1 rows/s,   169B/s
   Parallelism: 0.0
   Peak Memory: 258B
   1.58 [3 rows, 267B] [1 rows/s, 169B/s]
   
   
   ```
   
   ### Error message and/or stacktrace
   
   N/A
   
   ### How to reproduce
   
   1. create table `test`,`TEST` through spark for a remote IRC
   
   2. list tables in Spark
   
   3. list tables in Trino
   
   
   ### Additional context
   
   _No response_


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