DATEPART - MaxCompute

提取日期date中符合指定時間單位datepart的值。

命令格式

bigint datepart(date|datetime|timestamp <date>, string <datepart>)

參數說明

date：必填。DATE、DATETIME或TIMESTAMP類型。如果輸入為STRING類型，且MaxCompute專案的資料類型版本是1.0，則會隱式轉換為DATETIME類型後參與運算。
datepart：必填。STRING類型常量，支援擴充的日期格式。
此欄位的取值遵循STRING與DATETIME類型轉換的約定，即yyyy表示年，mm表示月，dd表示天。關於類型轉換的規則，詳情請參見資料類型轉換。該欄位也支援擴充的日期格式：年-year、月-month或-mon、日-day和小時-hour。

傳回值說明

返回BIGINT類型。返回規則如下：

date非DATE、DATETIME或TIMESTAMP類型時，返回報錯。
date值為NULL時，返回報錯。
datepart值為NULL時，返回NULL。

樣本資料

為便於理解各函數的使用方法，本文為您提供來源資料，基於來源資料提供函數相關樣本。建立表mf_date_fun_t，並添加資料，命令樣本如下。

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);

查詢表mf_date_fun_t中的資料，命令樣本如下：

select * from mf_date_fun_t;
--返回結果。
+------+-------+------------+------------+-------+------------+------------+-------+------------+
| 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  |
+------+-------+------------+------------+-------+------------+------------+-------+------------+

使用樣本：待用資料樣本

--返回2013。
select datepart(datetime'2013-06-08 01:10:00', 'yyyy'); 
--返回6。
select datepart(datetime'2013-06-08 01:10:00', 'mm');
--返回2013。
select datepart(date '2013-06-08', 'yyyy');
--開啟2.0新類型。此命令需要與SQL語句一起提交。返回2013。
set odps.sql.type.system.odps2=true;
select datepart(timestamp '2013-06-08 01:10:00', 'yyyy');
--返回2013。
set odps.sql.type.system.odps2=false;
select datepart('2013-06-08 01:10:00', 'yyyy');
--返回NULL。
select datepart(date '2013-06-08', null);

使用樣本：表資料樣本

基於樣本資料，提取date1、datetime1和timestamp1中符合指定時間單位的值，命令樣本如下。

--開啟2.0新類型。此命令需要與SQL語句一起提交。
set odps.sql.type.system.odps2=true;
select date1, datepart(date1,'yyyy') as date1_datepart, datetime1, datepart(datetime1,'dd') as datetime1_datepart, timestamp1, datepart(timestamp1,'mm') as timestamp1_datepart from mf_date_fun_t;

返回結果如下。

+------------+----------------+---------------------+-------------------------+-------------------------------+---------------------+
| date1      | date1_datepart | datetime1           | datetime1_datepart      | timestamp1                    | timestamp1_datepart |
+------------+----------------+---------------------+-------------------------+-------------------------------+---------------------+
| 2021-11-29 | 2021           | 2021-11-29 00:01:00 | 29                      | 2021-01-11 00:00:00.123456789 | 1                   |
| 2021-11-28 | 2021           | 2021-11-28 00:02:00 | 28                      | 2021-02-11 00:00:00.123456789 | 2                   |
| 2021-11-27 | 2021           | 2021-11-27 00:03:00 | 27                      | 2021-03-11 00:00:00.123456789 | 3                   |
| 2021-11-26 | 2021           | 2021-11-26 00:04:00 | 26                      | 2021-04-11 00:00:00.123456789 | 4                   |
| 2021-11-25 | 2021           | 2021-11-25 00:05:00 | 25                      | 2021-05-11 00:00:00.123456789 | 5                   |
| 2021-11-24 | 2021           | 2021-11-24 00:06:00 | 24                      | 2021-06-11 00:00:00.123456789 | 6                   |
| 2021-11-23 | 2021           | 2021-11-23 00:07:00 | 23                      | 2021-07-11 00:00:00.123456789 | 7                   |
| 2021-11-22 | 2021           | 2021-11-22 00:08:00 | 22                      | 2021-08-11 00:00:00.123456789 | 8                   |
| 2021-11-21 | 2021           | 2021-11-21 00:09:00 | 21                      | 2021-09-11 00:00:00.123456789 | 9                   |
| 2021-11-20 | 2021           | 2021-11-20 00:10:00 | 20                      | 2021-10-11 00:00:00.123456789 | 10                  |
+------------+----------------+---------------------+-------------------------+-------------------------------+---------------------+

MaxCompute：DATEPART