从补丁 198 开始，Amazon Redshift 将不再支持创建新的 Python UDF。现有的 Python UDF 将继续正常运行至 2026 年 6 月 30 日。有关更多信息，请参阅[博客文章](https://aws.amazon.com/blogs/big-data/amazon-redshift-python-user-defined-functions-will-reach-end-of-support-after-june-30-2026/)。

# SVL\$1STORED\$1PROC\$1MESSAGES
<a name="r_SVL_STORED_PROC_MESSAGES"></a>

您可以查询 SVL\$1STORED\$1PROC\$1MESSAGES 系统视图以获取有关存储过程消息的信息。即使存储过程调用已取消，也会记录引发的消息。每个存储过程调用接受一个查询 ID。有关如何设置记录的消息的最低级别的更多信息，请参阅 stored\$1proc\$1log\$1min\$1messages。

SVL\$1STORED\$1PROC\$1MESSAGES 对所有用户可见。超级用户可以查看所有行；普通用户只能查看其自己的数据。有关更多信息，请参阅 [系统表和视图中的数据可见性](cm_chap_system-tables.md#c_visibility-of-data)。

此表中的部分或全部数据也可以在 SYS 监控视图 [SYS\$1PROCEDURE\$1MESSAGES](SYS_PROCEDURE_MESSAGES.md) 中找到。SYS 监控视图中的数据经过格式化处理，便于使用和理解。我们建议您使用 SYS 监控视图进行查询。

## 表列
<a name="r_SVL_STORED_PROC_MESSAGES-table-columns"></a>

[\[See the AWS documentation website for more details\]](http://docs.aws.amazon.com/zh_cn/redshift/latest/dg/r_SVL_STORED_PROC_MESSAGES.html)

## 示例查询
<a name="r_SVL_STORED_PROC_MESSAGES-sample-query"></a>

以下 SQL 语句说明了如何使用 SVL\$1STORED\$1PROC\$1MESSAGES 查看引发的消息。

```
-- Create and run a stored procedure
CREATE OR REPLACE PROCEDURE test_proc1(f1 int) AS
$$
BEGIN
    RAISE INFO 'Log Level: Input f1 is %',f1;
    RAISE NOTICE 'Notice Level: Input f1 is %',f1;
    EXECUTE 'select invalid';
    RAISE NOTICE 'Should not print this';

EXCEPTION WHEN OTHERS THEN
     raise exception 'EXCEPTION level: Exception Handling';
END;
$$ LANGUAGE plpgsql;

-- Call this stored procedure
CALL test_proc1(2);

-- Show raised messages with level higher than INFO
SELECT query, recordtime, loglevel, loglevel_text, trim(message) as message, aborted FROM svl_stored_proc_messages 
  WHERE loglevel > 30 AND query = 193 ORDER BY recordtime;

 query |         recordtime         | loglevel | loglevel_text |               message               | aborted
-------+----------------------------+----------+---------------+-------------------------------------+---------
   193 | 2020-03-17 23:57:18.277196 |       40 | NOTICE        | Notice Level: Input f1 is 2         |       1
   193 | 2020-03-17 23:57:18.277987 |       60 | EXCEPTION     | EXCEPTION level: Exception Handling |       1
(2 rows)

-- Show raised messages at EXCEPTION level
SELECT query, recordtime, loglevel, loglevel_text, trim(message) as message, aborted FROM svl_stored_proc_messages 
  WHERE loglevel_text = 'EXCEPTION' AND query = 193 ORDER BY recordtime;
        
 query |         recordtime         | loglevel | loglevel_text |               message               | aborted
-------+----------------------------+----------+---------------+-------------------------------------+---------
   193 | 2020-03-17 23:57:18.277987 |       60 | EXCEPTION     | EXCEPTION level: Exception Handling |       1
```

以下 SQL 语句说明了在创建存储过程时如何使用 SVL\$1STORED\$1PROC\$1MESSAGES 和 SET 选项查看引发的消息。由于 test\$1proc() 的最低日志级别为 NOTICE，因此，仅在 SVL\$1STORED\$1PROC\$1MESSAGES 中记录 NOTICE、WARNING 和 EXCEPTION 级别消息。

```
-- Create a stored procedure with minimum log level of NOTICE 
CREATE OR REPLACE PROCEDURE test_proc() AS
$$
BEGIN
    RAISE LOG 'Raise LOG messages';
    RAISE INFO 'Raise INFO messages';
    RAISE NOTICE 'Raise NOTICE messages';
    RAISE WARNING 'Raise WARNING messages';
    RAISE EXCEPTION 'Raise EXCEPTION messages';
    RAISE WARNING 'Raise WARNING messages again'; -- not reachable
END;
$$ LANGUAGE plpgsql SET stored_proc_log_min_messages = NOTICE; 

-- Call this stored procedure
CALL test_proc();

-- Show the raised messages
SELECT query, recordtime, loglevel_text, trim(message) as message, aborted FROM svl_stored_proc_messages 
  WHERE query = 149 ORDER BY recordtime;
  
 query |         recordtime         | loglevel_text |          message         | aborted
-------+----------------------------+---------------+--------------------------+---------
   149 | 2020-03-16 21:51:54.847627 | NOTICE        | Raise NOTICE messages    |       1
   149 | 2020-03-16 21:51:54.84766  | WARNING       | Raise WARNING messages   |       1
   149 | 2020-03-16 21:51:54.847668 | EXCEPTION     | Raise EXCEPTION messages |       1
(3 rows)
```