FlyingZC opened a new issue, #27816:
URL: https://github.com/apache/shardingsphere/issues/27816

   # 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 TABLE tpcds.web_returns_p3 (LIKE tpcds.web_returns_p2 INCLUDING 
PARTITION);
   
   --修改分区P1的表空间为example2。
   
   ```
   
   ```sql
    ALTER TABLE tpcds.web_returns_p2 MOVE PARTITION P1 TABLESPACE example2;
   
   --修改分区P2的表空间为example3。
   
   ```
   
   ```sql
    ALTER TABLE tpcds.web_returns_p2 MOVE PARTITION P2 TABLESPACE example3;
   
   --以2453010为分割点切分P8。
   
   ```
   
   ```sql
    ALTER TABLE tpcds.web_returns_p2 SPLIT PARTITION P8 AT (2453010) INTO
   (
           PARTITION P9,
           PARTITION P10
   ); 
   
   --将P6,P7合并为一个分区。
   
   ```
   
   ```sql
    ALTER TABLE tpcds.web_returns_p2 MERGE PARTITIONS P6, P7 INTO PARTITION P8;
   
   --修改分区表迁移属性。
   
   ```
   
   # 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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