Converts a date value of the DATE, TIMESTAMP, or STRING type into a string in the specified format.
Syntax
string date_format(date|timestamp|string <date>, string <format>)
Quick example:
-- Enable the Hive-compatible data type edition first.
set odps.sql.hive.compatible=true;
-- Returns: 2022-04-24
select date_format('2022-04-24', 'yyyy-MM-dd');
Parameters
date
Required. The date value to convert. Supported types: DATE, TIMESTAMP, and STRING.
-
DATE and STRING types are supported only when the Hive-compatible data type edition is enabled. Run
set odps.sql.hive.compatible=true;to enable it. -
When the input is a STRING value, the following formats are accepted:
-
'yyyy-MM-dd'— for example,'2019-12-27' -
'yyyy-MM-dd hh:mm:ss'— for example,'2019-12-27 12:23:10' -
'yyyy-MM-dd hh:mm:ss.SSS'— for example,'2019-12-27 12:23:10.123'
-
format
Required. A STRING constant that specifies the output format. Examples: yyyy-MM-dd hh:mm:ss.SSS and yyyy-MM-dd hh:mi:ss.SSS.
The format string is built from the following tokens:
| Token | Meaning | Example output |
|---|---|---|
yyyy |
Calendar year | 2024 |
YYYY |
Week-based year | 2024 |
MM |
Month | 01, 12 |
dd |
Day of month | 01, 31 |
HH |
Hour (24-hour clock) | 00, 23 |
hh |
Hour (12-hour clock) | 01, 12 |
mm |
Minute | 00, 59 |
mi |
Minute | 00, 59 |
ss |
Second | 00, 59 |
SSS |
Millisecond | 000, 999 |
The behavior of hh and mm depends on whether the Hive-compatible data type edition is enabled:
| Token | Hive-compatible disabled | Hive-compatible enabled |
|---|---|---|
hh |
24-hour clock (same as HH) |
12-hour clock |
mm |
Same value as MM (month) |
Minute |
When the Hive-compatible data type edition is disabled, use mi for minutes and avoid mm. The correct format is yyyy-MM-dd hh:mi:ss.
When the Hive-compatible data type edition is enabled, use mm for minutes. The correct format is yyyy-MM-dd hh:mm:ss. Using mi in this mode returns null.
YYYYrepresents the week-based year, which may differ from the actual calendar year near year boundaries. Useyyyy(calendar year) unless you specifically need ISO week-year semantics.
Return value
Returns a STRING value. The following rules apply:
-
Returns null if
dateis not a DATE or TIMESTAMP value. -
Returns an error if
dateis null. -
Returns null if
formatis null.
Sample data
The examples in this topic use a table named mf_date_fun_t. Run the following statements to create and populate the table:
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);
To verify the data, run:
select * from mf_date_fun_t;
Expected output:
+------+------------+---------------------+-------------------------------+------------+---------------------+-------------------------------+------------+------------+
| 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 |
+------+------------+---------------------+-------------------------------+------------+---------------------+-------------------------------+------------+------------+
Examples
Format the current timestamp
The following example formats the current UTC time as a string. Enable the Hive-compatible data type edition before running.
-- Commit the following SET command together with the SELECT statement.
set odps.sql.hive.compatible=true;
-- If the current time is 2023-11-20 17:52, the return value is 2023-11-20 17:52:41.544.
select date_format(from_utc_timestamp(current_timestamp(), 'UTC'), 'yyyy-MM-dd HH:mm:ss.SSS');
Format values from a table
The following example converts the datetime1 and timestamp1 columns to strings in several formats. All examples use mm as the minute token, which requires both the Hive-compatible data type edition and the MaxCompute V2.0 data type edition.
-- Commit the following SET commands together with the SELECT statement.
set odps.sql.hive.compatible=true;
set odps.sql.type.system.odps2=true;
select datetime1, timestamp1,
date_format(datetime1, 'yyyy/mm/dd'),
date_format(datetime1, 'yyyy/mm/dd HH:mm:ss'),
date_format(timestamp1, 'yyyy/mm/dd HH:mm:ss')
from mf_date_fun_t;
Return value:
+---------------------+-------------------------------+------------+---------------------+---------------------+
| datetime1 | timestamp1 | _c2 | _c3 | _c4 |
+---------------------+-------------------------------+------------+---------------------+---------------------+
| 2021-11-29 00:01:00 | 2021-01-11 00:00:00.123456789 | 2021/01/29 | 2021/01/29 00:01:00 | 2021/00/11 00:00:00 |
| 2021-11-28 00:02:00 | 2021-02-11 00:00:00.123456789 | 2021/02/28 | 2021/02/28 00:02:00 | 2021/00/11 00:00:00 |
| 2021-11-27 00:03:00 | 2021-03-11 00:00:00.123456789 | 2021/03/27 | 2021/03/27 00:03:00 | 2021/00/11 00:00:00 |
| 2021-11-26 00:04:00 | 2021-04-11 00:00:00.123456789 | 2021/04/26 | 2021/04/26 00:04:00 | 2021/00/11 00:00:00 |
| 2021-11-25 00:05:00 | 2021-05-11 00:00:00.123456789 | 2021/05/25 | 2021/05/25 00:05:00 | 2021/00/11 00:00:00 |
| 2021-11-24 00:06:00 | 2021-06-11 00:00:00.123456789 | 2021/06/24 | 2021/06/24 00:06:00 | 2021/00/11 00:00:00 |
| 2021-11-23 00:07:00 | 2021-07-11 00:00:00.123456789 | 2021/07/23 | 2021/07/23 00:07:00 | 2021/00/11 00:00:00 |
| 2021-11-22 00:08:00 | 2021-08-11 00:00:00.123456789 | 2021/08/22 | 2021/08/22 00:08:00 | 2021/00/11 00:00:00 |
| 2021-11-21 00:09:00 | 2021-09-11 00:00:00.123456789 | 2021/09/21 | 2021/09/21 00:09:00 | 2021/00/11 00:00:00 |
| 2021-11-20 00:10:00 | 2021-10-11 00:00:00.123456789 | 2021/10/20 | 2021/10/20 00:10:00 | 2021/00/11 00:00:00 |
+---------------------+-------------------------------+------------+---------------------+---------------------+
Related functions
DATE_FORMAT is a date function. For more information about date arithmetic and conversion functions, see Date functions.