Flash cards
Review the key moves
1/4
Core idea
What is the main idea behind SQL Server DATEPART() Function?
Lesson checks
Practice each idea before moving on
Short Mimo-style checks built from this lesson's code, terms, and sequence.
1Quick choice
Which statement best captures the main point of this lesson?
2Fill blank
Complete the missing token from the example code.
___ DATEPART(year, '2017/08/25') AS DatePartInt;3Order
Put the learning moves in the order that makes the concept easiest to apply.
The DATEPART() function returns a specified part of a date.
Definition and Usage
SQL Server DATEPART() Function
Example
SELECT DATEPART(year, '2017/08/25') AS DatePartInt;Definition and Usage
The DATEPART() function returns a specified part of a date.
This function returns the result as an integer value.
Syntax
DATEPART(
interval
,
date
)Parameter Values
| Parameter | Description |
|---|---|
| interval | Required. The part of the date argument to return. Can be one of the following values: year, yyyy, yy = Year quarter, qq, q = Quarter month, mm, m = month dayofyear, dy, y = Day of the year day, dd, d = Day of the month week, ww, wk = Week weekday, dw, w = Weekday hour, hh = hour minute, mi, n = Minute second, ss, s = Second millisecond, ms = Millisecond microsecond, mcs = Microsecond nanosecond, ns = Nanosecond tzoffset, tz = Timezone offset iso_week, isowk, isoww = ISO week |
| date | Required. The date to use. Can be one of the following data types: date, datetime, datetimeoffset, datetime2, smalldatetime, or time |
- year, yyyy, yy = Year
- quarter, qq, q = Quarter
- month, mm, m = month
- dayofyear, dy, y = Day of the year
- day, dd, d = Day of the month
- week, ww, wk = Week
- weekday, dw, w = Weekday
- hour, hh = hour
- minute, mi, n = Minute
- second, ss, s = Second
- millisecond, ms = Millisecond
- microsecond, mcs = Microsecond
- nanosecond, ns = Nanosecond
- tzoffset, tz = Timezone offset
- iso_week, isowk, isoww = ISO week
Technical Details
| Return type: | int |
|---|---|
| Works in: | SQL Server (starting with 2008), Azure SQL Database, Azure SQL Data Warehouse, Parallel Data Warehouse |