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    MaxCompute:NEXT_DAY

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    MaxCompute:NEXT_DAY

    Last Updated:Jul 24, 2023

    Returns the date of the first day that is later than startdate and matches the week value. This function is an additional function of MaxCompute V2.0.

    Syntax

    string next_day(timestamp|date|datetime|string <startdate>, string <week>)

    Parameters

    • startdate: required. A value of the TIMESTAMP, DATE, DATETIME, or STRING type. The input value is in the yyyy-mm-dd, yyyy-mm-dd hh:mi:ss, or yyyy-mm-dd hh:mi:ss.ff3 format. If the value is of the STRING type, the value must include at least the yyyy-mm-dd part and must not contain extra strings.

    • week: required. A value of the STRING type. The value of this parameter can be the first two or three letters of a day in a week or the full name of a day in a week, such as MO, TUE, or FRIDAY.

    Return value

    A value of the STRING type is returned. The return value is in the yyyy-mm-dd format. The return value varies based on the following rules:

    • If the value of date is not of the TIMESTAMP, DATE, DATETIME, or STRING type or the format does not meet the requirements, null is returned.

    • If the value of date is null, an error is returned.

    • If the value of week is null, null is returned.

    Sample data

    This section provides sample source data for you to understand how to use date functions. In this topic, a table named mf_date_fun_t is created and data is inserted into the table. Sample statements: 

    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);

    Query data from the mf_date_fun_t table. Sample statement:

    select * from mf_date_fun_t;
-- The following result is returned: 
+------+-------+------------+------------+-------+------------+------------+-------+------------+
| 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  |
+------+-------+------------+------------+-------+------------+------------+-------+------------+

    Example: static data

    -- The return value is 2017-08-08. 
select next_day('2017-08-01','TU');
-- The return value is 2017-08-08. 
select next_day('2017-08-01 23:34:00','TU');
-- The return value is null. 
select next_day('20170801','TU');
-- The return value is null. 
select next_day('2017-08-01 23:34:00',null);

    Example: table data

    Obtain the date of the day in the next week to which each date value in the date1, datetime1, timestamp1, and date3 columns corresponds based on the Sample data. Sample statement: 

    -- Enable the MaxCompute V2.0 data type edition. Commit this command along with SQL statements. 
set odps.sql.type.system.odps2=true;
select date1, next_day(date1,'MON') as date1_next_day, datetime1, next_day(datetime1,'TUE') as datetime1_next_day, timestamp1, next_day(timestamp1,'WED') as timestamp1_next_day, date3, next_day(date3,'THU') as date3_next_day from mf_date_fun_t;

    The following result is returned: 

    +------------+----------------+---------------------+--------------------+-------------------------------+---------------------+------------+----------------+
| date1      | date1_next_day | datetime1           | datetime1_next_day | timestamp1                    | timestamp1_next_day | date3      | date3_next_day |
+------------+----------------+---------------------+--------------------+-------------------------------+---------------------+------------+----------------+
| 2021-11-29 | 2021-12-06     | 2021-11-29 00:01:00 | 2021-11-30         | 2021-01-11 00:00:00.123456789 | 2021-01-13          | 2021-11-20 | 2021-11-25     |
| 2021-11-28 | 2021-11-29     | 2021-11-28 00:02:00 | 2021-11-30         | 2021-02-11 00:00:00.123456789 | 2021-02-17          | 2021-11-21 | 2021-11-25     |
| 2021-11-27 | 2021-11-29     | 2021-11-27 00:03:00 | 2021-11-30         | 2021-03-11 00:00:00.123456789 | 2021-03-17          | 2021-11-22 | 2021-11-25     |
| 2021-11-26 | 2021-11-29     | 2021-11-26 00:04:00 | 2021-11-30         | 2021-04-11 00:00:00.123456789 | 2021-04-14          | 2021-11-23 | 2021-11-25     |
| 2021-11-25 | 2021-11-29     | 2021-11-25 00:05:00 | 2021-11-30         | 2021-05-11 00:00:00.123456789 | 2021-05-12          | 2021-11-24 | 2021-11-25     |
| 2021-11-24 | 2021-11-29     | 2021-11-24 00:06:00 | 2021-11-30         | 2021-06-11 00:00:00.123456789 | 2021-06-16          | 2021-11-25 | 2021-12-02     |
| 2021-11-23 | 2021-11-29     | 2021-11-23 00:07:00 | 2021-11-30         | 2021-07-11 00:00:00.123456789 | 2021-07-14          | 2021-11-26 | 2021-12-02     |
| 2021-11-22 | 2021-11-29     | 2021-11-22 00:08:00 | 2021-11-23         | 2021-08-11 00:00:00.123456789 | 2021-08-18          | 2021-11-27 | 2021-12-02     |
| 2021-11-21 | 2021-11-22     | 2021-11-21 00:09:00 | 2021-11-23         | 2021-09-11 00:00:00.123456789 | 2021-09-15          | 2021-11-28 | 2021-12-02     |
| 2021-11-20 | 2021-11-22     | 2021-11-20 00:10:00 | 2021-11-23         | 2021-10-11 00:00:00.123456789 | 2021-10-13          | 2021-11-29 | 2021-12-02     |
+------------+----------------+---------------------+--------------------+-------------------------------+---------------------+------------+----------------+

    Related functions

    NEXT_DAY is a date function. For more information about functions related to date computing and conversion, see Date functions.