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/)。

# SYS\$1CHILD\$1QUERY\$1TEXT
<a name="SYS_CHILD_QUERY_TEXT"></a>

返回子查询的 SQL 文本。

## 表列
<a name="r_SYS_CHILD_QUERYTEXT-table-rows"></a>

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

## 示例查询
<a name="r_SYS_CHILD_QUERYTEXT-sample-queries"></a>

在以下示例中，结果中的行显示了由 Amazon Redshift 执行的操作。

```
SELECT * from sys_child_query_text where query_id = '34487366' order by child_query_sequence asc, sequence asc;
                
user_id | query_id | child_query_sequence | sequence | text
--------|----------|----------------------|----------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
100     | 34899339 |   1                  |    0     |  /* RQEV2-aY6ZZ1ZpQK */\nwith venue as (\n    select venueid,\n            venuename,\n            venuestate\n    from venue\n), event as (\n    select eventid,\n            venueid,\n            date    
100     | 34899339 |   1                  |    1     |  id,\n            eventname\n    from event\n    where eventname like '3 Doors Down'\n), users as (\n    select userid\n    from users\n), sales as (\n    select salesid,\n            pricepaid,           
100     | 34899339 |   1                  |    2     |  \n            eventid,\n            buyerid\n    from sales\n)\nselect e.eventname,\n        v.venuename,\n        count(distinct(u.userid)) as unique_customers,\n        sum(s.pricepaid) as total_sal    
100     | 34899339 |   1                  |    3     |  es\nfrom venue as v inner join event e on v.venueid = e.venueid\ninner join sales s on e.eventid = s.eventid inner join users u on s.buyerid = u.userid\ngroup by 1,2\norder by 4 desc limit 100
```