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    云原生大数据计算服务 MaxCompute：FROM_UTC_TIMESTAMP

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    云原生大数据计算服务 MaxCompute：FROM_UTC_TIMESTAMP

    更新时间：Aug 02, 2023

    将一个UTC时区的时间戳转换成一个指定时区的时间戳，即将一个UTC时区的时间戳按照指定的时区显示。此函数为MaxCompute 2.0扩展函数。

    注意事项

    FROM_UTC_TIMESTAMP函数还会受到Project级别flag（odps.sql.timezone）配置的影响。假如odps.sql.timezone=Asia/Shanghai即东八区时区，会比UTC时区多八个小时，所以会在FROM_UTC_TIMESTAMP函数转换后的基础上再加八个小时显示。示例： FROM_UTC_TIMESTAMP(0, 'Asia/Shanghai')的逻辑是把UTC-0时区的0，向北京时区偏移，得到的是UTC-0时间为0 + 8 * 3600 = 28800。但由于Project配置了odps.sql.timezone=Asia/Shanghai，会导致继续偏移八小时，最终显示为1970-01-01 16:00:00。

    命令格式

    timestamp from_utc_timestamp({any primitive type}*, string <timezone>)

    参数说明

    • {any primitive type}*：必填。时间戳，支持TIMESTAMP、DATETIME、TINYINT、SMALLINT、INT或BIGINT数据类型。如果该参数为TINYINT、SMALLINT、INT或BIGINT数据类型，则单位为毫秒。

    • timezone：必填。指定需要转换的目标时区。

      说明

      您可直接在搜索引擎中查找相关时区列表详情，当前支持的时区列表也可参见时区列表。

    返回值说明

    返回TIMESTAMP类型，格式为yyyy-mm-dd hh:mi:ss.ff3。返回规则如下：

    • {any primitive type}*非TIMESTAMP、DATETIME、TINYINT、SMALLINT、INT或BIGINT时，返回报错。

    • {any primitive type}*值为NULL时，返回报错。

    • timezone值为NULL时，返回NULL。

    示例数据

    为便于理解各函数的使用方法，本文为您提供源数据，基于源数据提供函数相关示例。创建表mf_date_fun_t，并添加数据，命令示例如下。

    create table if not exists mf_date_fun_t(
    id      int,
    date1   date,
    datetime1   datetime,
    timestamp1 timestamp,
    date2   date,
    datetime2   datetime,
    timestamp2 timestamp,
    date3 string,
    date4 bigint);
insert into mf_date_fun_t values
(1,DATE'2021-11-29',DATETIME'2021-11-29 00:01:00',TIMESTAMP'2021-01-11 00:00:00.123456789',DATE'2021-10-29',DATETIME'2021-10-29 00:00:00',TIMESTAMP'2021-10-11 00:00:00.123456789','2021-11-20',123456780),
(2,DATE'2021-11-28',DATETIME'2021-11-28 00:02:00',TIMESTAMP'2021-02-11 00:00:00.123456789',DATE'2021-10-29',DATETIME'2021-10-29 00:00:00',TIMESTAMP'2021-10-11 00:00:00.123456789','2021-11-21',123456781),
(3,DATE'2021-11-27',DATETIME'2021-11-27 00:03:00',TIMESTAMP'2021-03-11 00:00:00.123456789',DATE'2021-10-29',DATETIME'2021-10-29 00:00:00',TIMESTAMP'2021-10-11 00:00:00.123456789','2021-11-22',123456782),
(4,DATE'2021-11-26',DATETIME'2021-11-26 00:04:00',TIMESTAMP'2021-04-11 00:00:00.123456789',DATE'2021-10-29',DATETIME'2021-10-29 00:00:00',TIMESTAMP'2021-10-11 00:00:00.123456789','2021-11-23',123456783),
(5,DATE'2021-11-25',DATETIME'2021-11-25 00:05:00',TIMESTAMP'2021-05-11 00:00:00.123456789',DATE'2021-10-29',DATETIME'2021-10-29 00:00:00',TIMESTAMP'2021-10-11 00:00:00.123456789','2021-11-24',123456784),
(6,DATE'2021-11-24',DATETIME'2021-11-24 00:06:00',TIMESTAMP'2021-06-11 00:00:00.123456789',DATE'2021-10-29',DATETIME'2021-10-29 00:00:00',TIMESTAMP'2021-10-11 00:00:00.123456789','2021-11-25',123456785),
(7,DATE'2021-11-23',DATETIME'2021-11-23 00:07:00',TIMESTAMP'2021-07-11 00:00:00.123456789',DATE'2021-10-29',DATETIME'2021-10-29 00:00:00',TIMESTAMP'2021-10-11 00:00:00.123456789','2021-11-26',123456786),
(8,DATE'2021-11-22',DATETIME'2021-11-22 00:08:00',TIMESTAMP'2021-08-11 00:00:00.123456789',DATE'2021-10-29',DATETIME'2021-10-29 00:00:00',TIMESTAMP'2021-10-11 00:00:00.123456789','2021-11-27',123456787),
(9,DATE'2021-11-21',DATETIME'2021-11-21 00:09:00',TIMESTAMP'2021-09-11 00:00:00.123456789',DATE'2021-10-29',DATETIME'2021-10-29 00:00:00',TIMESTAMP'2021-10-11 00:00:00.123456789','2021-11-28',123456788),
(10,DATE'2021-11-20',DATETIME'2021-11-20 00:10:00',TIMESTAMP'2021-10-11 00:00:00.123456789',DATE'2021-10-29',DATETIME'2021-10-29 00:00:00',TIMESTAMP'2021-10-11 00:00:00.123456789','2021-11-29',123456789);

    查询表mf_date_fun_t中的数据，命令示例如下：

    select * from mf_date_fun_t;
--返回结果。
+------+-------+------------+------------+-------+------------+------------+-------+------------+
| id   | date1 | datetime1  | timestamp1 | date2 | datetime2  | timestamp2 | date3 | date4      |
+------+-------+------------+------------+-------+------------+------------+-------+------------+
| 1    | 2021-11-29 | 2021-11-29 00:01:00 | 2021-01-11 00:00:00.123456789 | 2021-10-29 | 2021-10-29 00:00:00 | 2021-10-11 00:00:00.123456789 | 2021-11-20 | 123456780  |
| 2    | 2021-11-28 | 2021-11-28 00:02:00 | 2021-02-11 00:00:00.123456789 | 2021-10-29 | 2021-10-29 00:00:00 | 2021-10-11 00:00:00.123456789 | 2021-11-21 | 123456781  |
| 3    | 2021-11-27 | 2021-11-27 00:03:00 | 2021-03-11 00:00:00.123456789 | 2021-10-29 | 2021-10-29 00:00:00 | 2021-10-11 00:00:00.123456789 | 2021-11-22 | 123456782  |
| 4    | 2021-11-26 | 2021-11-26 00:04:00 | 2021-04-11 00:00:00.123456789 | 2021-10-29 | 2021-10-29 00:00:00 | 2021-10-11 00:00:00.123456789 | 2021-11-23 | 123456783  |
| 5    | 2021-11-25 | 2021-11-25 00:05:00 | 2021-05-11 00:00:00.123456789 | 2021-10-29 | 2021-10-29 00:00:00 | 2021-10-11 00:00:00.123456789 | 2021-11-24 | 123456784  |
| 6    | 2021-11-24 | 2021-11-24 00:06:00 | 2021-06-11 00:00:00.123456789 | 2021-10-29 | 2021-10-29 00:00:00 | 2021-10-11 00:00:00.123456789 | 2021-11-25 | 123456785  |
| 7    | 2021-11-23 | 2021-11-23 00:07:00 | 2021-07-11 00:00:00.123456789 | 2021-10-29 | 2021-10-29 00:00:00 | 2021-10-11 00:00:00.123456789 | 2021-11-26 | 123456786  |
| 8    | 2021-11-22 | 2021-11-22 00:08:00 | 2021-08-11 00:00:00.123456789 | 2021-10-29 | 2021-10-29 00:00:00 | 2021-10-11 00:00:00.123456789 | 2021-11-27 | 123456787  |
| 9    | 2021-11-21 | 2021-11-21 00:09:00 | 2021-09-11 00:00:00.123456789 | 2021-10-29 | 2021-10-29 00:00:00 | 2021-10-11 00:00:00.123456789 | 2021-11-28 | 123456788  |
| 10   | 2021-11-20 | 2021-11-20 00:10:00 | 2021-10-11 00:00:00.123456789 | 2021-10-29 | 2021-10-29 00:00:00 | 2021-10-11 00:00:00.123456789 | 2021-11-29 | 123456789  |
+------+-------+------------+------------+-------+------------+------------+-------+------------+

    使用示例：静态数据示例

    --输入参数为毫秒（ms），返回2017-08-01 04:24:00.0。
select from_utc_timestamp(1501557840000, 'PST'); 
--返回1970-01-30 08:00:00.0。
select from_utc_timestamp('1970-01-30 16:00:00','PST'); 
--返回1970-01-29 16:00:00.0。
select from_utc_timestamp('1970-01-30','PST'); 
--开启2.0新类型。此命令需要与SQL语句一起提交。返回2011-12-25 17:00:00.123。
set odps.sql.type.system.odps2=true;
select from_utc_timestamp(timestamp '2011-12-25 09:00:00.123456', 'Asia/Shanghai');
--开启2.0新类型。此命令需要与SQL语句一起提交。返回2011-12-25 01:55:00.0。
set odps.sql.type.system.odps2=true;
select from_utc_timestamp(timestamp '2011-12-25 06:55:00', 'America/Toronto');
--返回NULL。
select from_utc_timestamp('1970-01-30',null);

    使用示例：表数据示例

    基于示例数据，将datetime1和timestamp1列转换为指定时区的时间戳，命令示例如下。

    --开启2.0新类型。此命令需要与SQL语句一起提交。
set odps.sql.type.system.odps2=true;
select datetime1, from_utc_timestamp(datetime1,'PST') pst, timestamp1, from_utc_timestamp(timestamp1,'Asia/Shanghai') asia from mf_date_fun_t;

    返回结果如下。

    +---------------------+---------------------+-------------------------------+-------------------------------+
| datetime1           | pst                 | timestamp1                    | asia                          |
+---------------------+---------------------+-------------------------------+-------------------------------+
| 2021-11-29 00:01:00 | 2021-11-28 16:01:00 | 2021-01-11 00:00:00.123456789 | 2021-01-11 08:00:00.123456789 |
| 2021-11-28 00:02:00 | 2021-11-27 16:02:00 | 2021-02-11 00:00:00.123456789 | 2021-02-11 08:00:00.123456789 |
| 2021-11-27 00:03:00 | 2021-11-26 16:03:00 | 2021-03-11 00:00:00.123456789 | 2021-03-11 08:00:00.123456789 |
| 2021-11-26 00:04:00 | 2021-11-25 16:04:00 | 2021-04-11 00:00:00.123456789 | 2021-04-11 08:00:00.123456789 |
| 2021-11-25 00:05:00 | 2021-11-24 16:05:00 | 2021-05-11 00:00:00.123456789 | 2021-05-11 08:00:00.123456789 |
| 2021-11-24 00:06:00 | 2021-11-23 16:06:00 | 2021-06-11 00:00:00.123456789 | 2021-06-11 08:00:00.123456789 |
| 2021-11-23 00:07:00 | 2021-11-22 16:07:00 | 2021-07-11 00:00:00.123456789 | 2021-07-11 08:00:00.123456789 |
| 2021-11-22 00:08:00 | 2021-11-21 16:08:00 | 2021-08-11 00:00:00.123456789 | 2021-08-11 08:00:00.123456789 |
| 2021-11-21 00:09:00 | 2021-11-20 16:09:00 | 2021-09-11 00:00:00.123456789 | 2021-09-11 08:00:00.123456789 |
| 2021-11-20 00:10:00 | 2021-11-19 16:10:00 | 2021-10-11 00:00:00.123456789 | 2021-10-11 08:00:00.123456789 |
+---------------------+---------------------+-------------------------------+-------------------------------+

    相关函数

    FROM_UTC_TIMESTAMP函数属于日期函数，更多日期计算、日期转换的相关函数请参见日期函数。