[fix][udf]修复udf逻辑遗留问题 (#1174)

* 因为之前udf 开发逻辑遗留问题，导致其他任务添加savepoint变null.null

* 因为之前udf 开发逻辑遗留问题，导致其他任务添加savepoint变null.null

* 更新sql模板语句

dlink-admin/src/main/java/com/dlink/service/impl/TaskServiceImpl.java

@@ -377,7 +377,6 @@ public class TaskServiceImpl extends SuperServiceImpl<TaskMapper, Task> implemen
                     task.setStatement(code);
                 }
             }
-        }
             // to compiler udf
             if (Asserts.isNotNullString(task.getDialect()) && Dialect.JAVA.equalsVal(task.getDialect())
                 && Asserts.isNotNullString(task.getStatement())) {
@@ -385,9 +384,10 @@ public class TaskServiceImpl extends SuperServiceImpl<TaskMapper, Task> implemen
                 task.setSavePointPath(compiler.getFullClassName());
             } else if (Dialect.PYTHON.equalsVal(task.getDialect())) {
                 task.setSavePointPath(task.getName() + "." + UDFUtil.getPyUDFAttr(task.getStatement()));
-        } else {
+            } else if (Dialect.SCALA.equalsVal(task.getDialect())) {
                 task.setSavePointPath(UDFUtil.getScalaFullClassName(task.getStatement()));
             }
+        }
 
         // if modify task else create task
         if (task.getId() != null) {

dlink-admin/src/main/java/com/dlink/service/impl/UDFServiceImpl.java

@@ -64,6 +64,13 @@ public class UDFServiceImpl implements UDFService {
     @Resource
     TaskService taskService;
 
+    /**
+     * init udf
+     *
+     * @param statement   sql 语句
+     * @param gatewayType flink gateway类型
+     * @return {@link UDFPath}
+     */
     @Override
     public UDFPath initUDF(String statement, GatewayType gatewayType) {
         if (gatewayType == GatewayType.KUBERNETES_APPLICATION) {

dlink-doc/sql/upgrade/0.6.8_schema/mysql/dinky_dml.sql

@@ -71,4 +71,3 @@ VALUES (4, 'python_udf_1', 'Python', 'UDF', 'from pyflink.table import ScalarFun
 
 INSERT INTO `dlink_udf_template` (`id`, `name`, `code_type`, `function_type`, `template_code`, `enabled`, `create_time`, `update_time`)
 VALUES (5, 'python_udf_2', 'Python', 'UDF', 'from pyflink.table import DataTypes\nfrom pyflink.table.udf import udf\n\n@udf(result_type=DataTypes.STRING())\ndef ${className}(variable1:string):\n  return \'\'', NULL, '2022-10-25 09:25:13', '2022-10-25 09:34:47');
-