call_hg_procedure
Execute stored procedures in Hologres databases to perform complex database operations with specified parameters.
Instructions
Call a stored procedure in Hologres database.
Input Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| procedure_name | Yes | The name of the stored procedure to call in Hologres database | |
| arguments | No | The arguments to pass to the stored procedure in Hologres database |
Implementation Reference
- Handler logic in the call_tool dispatcher: parses arguments, validates procedure_name, constructs the CALL procedure SQL query.
elif name == "call_hg_procedure": procedure_name = arguments.get("procedure_name") arguments_list = arguments.get("arguments") if not procedure_name: raise ValueError("Procedure name are required") query = f"CALL {procedure_name}({', '.join(arguments_list)})" - src/hologres_mcp_server/server.py:450-470 (registration)Tool registration in list_tools(): defines name, description, and input schema for call_hg_procedure.
Tool( name="call_hg_procedure", description="Call a stored procedure in Hologres database.", inputSchema={ "type": "object", "properties": { "procedure_name": { "type": "string", "description": "The name of the stored procedure to call in Hologres database" }, "arguments": { "type": "array", "items": { "type": "string" }, "description": "The arguments to pass to the stored procedure in Hologres database" } }, "required": ["procedure_name"] } ), - Shared helper function that executes the SQL query constructed by tool handlers, manages DB connection with retry, handles serverless mode, and formats SELECT or other results.
def handle_call_tool(tool_name, query, serverless = False): """Handle callTool method.""" config = get_db_config() try: with connect_with_retry() as conn: with conn.cursor() as cursor: # 特殊处理 serverless computing 查询 if serverless: cursor.execute("set hg_computing_resource='serverless'") # Execute the query cursor.execute(query) # 特殊处理 ANALYZE 命令 if tool_name == "gather_hg_table_statistics": return f"Successfully {query}" # 处理其他有返回结果的查询 if cursor.description: # SELECT query columns = [desc[0] for desc in cursor.description] rows = cursor.fetchall() result = [",".join(map(str, row)) for row in rows] return "\n".join([",".join(columns)] + result) elif tool_name == "execute_dml_sql": # Non-SELECT query row_count = cursor.rowcount return f"Query executed successfully. {row_count} rows affected." else: return "Query executed successfully" except Exception as e: return f"Error executing query: {str(e)}"