Returns the quarter in which a date value falls. Valid values: 1 to 4. This function is an additional function of MaxCompute V2.0.
Syntax
int quarter (datetime|timestamp|date|string <date>)Parameters
date: required. A date value of the DATETIME, TIMESTAMP, DATE, 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.
Return value
A value of the INT type is returned. The return value varies based on the following rules:
If the value of date is not of the DATETIME, TIMESTAMP, DATE, or STRING type or the format does not meet the requirements, null is returned.
If the value of date 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 4.
select quarter('1970-11-12 10:00:00');
-- The return value is 4.
select quarter('1970-11-12');
-- The return value is null.
select quarter(null);Example: table data
Obtain the quarter component of each date value in the date1, datetime1, timestamp1, and date3 columns 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, quarter(date1) as date1_quarter, datetime1, quarter(datetime1) as datetime1_quarter, timestamp1, quarter(timestamp1) as timestamp1_quarter, date3, quarter(date3) as date3_quarter from mf_date_fun_t;The following result is returned:
+------------+---------------+---------------------+-------------------+-------------------------------+--------------------+------------+---------------+
| date1 | date1_quarter | datetime1 | datetime1_quarter | timestamp1 | timestamp1_quarter | date3 | date3_quarter |
+------------+---------------+---------------------+-------------------+-------------------------------+--------------------+------------+---------------+
| 2021-11-29 | 4 | 2021-11-29 00:01:00 | 4 | 2021-01-11 00:00:00.123456789 | 1 | 2021-11-20 | 4 |
| 2021-11-28 | 4 | 2021-11-28 00:02:00 | 4 | 2021-02-11 00:00:00.123456789 | 1 | 2021-11-21 | 4 |
| 2021-11-27 | 4 | 2021-11-27 00:03:00 | 4 | 2021-03-11 00:00:00.123456789 | 1 | 2021-11-22 | 4 |
| 2021-11-26 | 4 | 2021-11-26 00:04:00 | 4 | 2021-04-11 00:00:00.123456789 | 2 | 2021-11-23 | 4 |
| 2021-11-25 | 4 | 2021-11-25 00:05:00 | 4 | 2021-05-11 00:00:00.123456789 | 2 | 2021-11-24 | 4 |
| 2021-11-24 | 4 | 2021-11-24 00:06:00 | 4 | 2021-06-11 00:00:00.123456789 | 2 | 2021-11-25 | 4 |
| 2021-11-23 | 4 | 2021-11-23 00:07:00 | 4 | 2021-07-11 00:00:00.123456789 | 3 | 2021-11-26 | 4 |
| 2021-11-22 | 4 | 2021-11-22 00:08:00 | 4 | 2021-08-11 00:00:00.123456789 | 3 | 2021-11-27 | 4 |
| 2021-11-21 | 4 | 2021-11-21 00:09:00 | 4 | 2021-09-11 00:00:00.123456789 | 3 | 2021-11-28 | 4 |
| 2021-11-20 | 4 | 2021-11-20 00:10:00 | 4 | 2021-10-11 00:00:00.123456789 | 4 | 2021-11-29 | 4 |
+------------+---------------+---------------------+-------------------+-------------------------------+--------------------+------------+---------------+Related functions
QUARTER is a date function. For more information about functions related to date computing and conversion, see Date functions.