FlyingZC opened a new issue, #27693:
URL: https://github.com/apache/shardingsphere/issues/27693

   # Background
   Hi community,
   
   ShardingSphere parser engine helps users parse a SQL to get the AST 
(Abstract Syntax Tree) and visit this tree to get SQLStatement (Java Object). 
Currently, we are planning to enhance the support for openGauss SQL parsing in 
ShardingSphere.
   
   More details:
   
https://shardingsphere.apache.org/document/current/en/reference/sharding/parse/
   
   # Task
   This issue is to support more openGauss sql parse, as follows:
   ```sql
    CREATE EVENT TRIGGER sql_drop_command ON sql_drop
       EXECUTE PROCEDURE drop_sql_command();
   
   --创建事件类型为table_rewrite的事件触发器
   
   ```
   
   ```sql
    create event trigger no_rewrite_allowed on table_rewrite
     when tag in ('alter table') execute procedure test_evtrig_no_rewrite();
   
   --执行ddl语句查看事件触发器效果(触发ddl_command_start与ddl_command_end)
   
   ```
   
   ```sql
    ALTER EVENT TRIGGER regress_event_trigger RENAME TO 
regress_event_trigger_start;
   --应该失败,事件触发器的owner只能为超级用户
   
   ```
   
   ```sql
    ALTER EVENT TRIGGER regress_event_trigger_start owner to regress_evt_user;
   
   ```
   
   ```sql
    ALTER EVENT TRIGGER regress_event_trigger_start disable;
   
   ```
   
   # Process
   1. First confirm that this is a correct openGauss sql syntax, if not please 
leave a message under the issue and ignore it;
   2. Compare SQL definitions in Official SQL Doc and ShardingSphere SQL Doc;
   3. If there is any difference in ShardingSphere SQL Doc, please correct them 
by referring to the Official SQL Doc;
   4. Run mvn install the current_file_module;
   5. Check whether there are any exceptions. If indeed, please fix them. 
(Especially xxxVisitor.class);
   6. Add new corresponding SQL case in SQL Cases and expected parsed result in 
Expected Statement XML;
   7. Run SQLParserParameterizedTest to make sure no exceptions.
   
   # Relevant Skills
   1. Master JAVA language
   2. Have a basic understanding of Antlr `g4` file
   3. Be familiar with openGauss SQLs


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