Amazon Redshift 將不再支援從修補程式 198 開始建立新的 Python UDFs。現有 Python UDF 將繼續正常運作至 2026 年 6 月 30 日。如需詳細資訊，請參閱[部落格文章](https://aws.amazon.com/blogs/big-data/amazon-redshift-python-user-defined-functions-will-reach-end-of-support-after-june-30-2026/)。

本文為英文版的機器翻譯版本，如內容有任何歧義或不一致之處，概以英文版為準。

# SELECT INTO
<a name="r_SELECT_INTO"></a>

選取任何查詢所定義的資料列，然後將它們插入新的資料表中。您可以指定是否建立臨時或永久資料表。

## 語法
<a name="r_SELECT_INTO-synopsis"></a>

```
[ WITH with_subquery [, ...] ]
SELECT
[ TOP number | [ ALL | DISTINCT ]
* | expression [ AS output_name ] [, ...] ]
[ EXCLUDE column_list ]
INTO [ TEMPORARY | TEMP ] [ TABLE ] new_table
[ FROM table_reference [, ...] ]
[ WHERE condition ]
[ [ START WITH expression ] CONNECT BY expression ]
[ GROUP BY ALL | expression [, ...] ]
[ HAVING condition ]
[ QUALIFY condition ]
[ { UNION | ALL | INTERSECT | EXCEPT | MINUS } query ]
[ ORDER BY expression [ ASC | DESC ] ]
[ LIMIT { number | ALL } ]
[ OFFSET start ]
```

 如需有關此命令之參數的詳細資訊，請參閱 [SELECT](r_SELECT_synopsis.md)。

## 範例
<a name="r_SELECT_INTO-examples"></a>

從 EVENT 資料表選取所有資料列，並建立 NEWEVENT 資料表：

```
select * into newevent from event;
```

將彙整查詢的結果選入名為 PROFITS 的臨時資料表中：

```
select username, lastname, sum(pricepaid-commission) as profit
into temp table profits
from sales, users
where sales.sellerid=users.userid
group by 1, 2
order by 3 desc;
```