- Categories:
Window Functions (Rank-related, Window Frame)
LAST_VALUE¶
Returns the last value within an ordered group of values.
- See also:
Syntax¶
LAST_VALUE( <expr> ) [ { IGNORE | RESPECT } NULLS ]
OVER ( [ PARTITION BY <expr1> ] ORDER BY <expr2> [ { ASC | DESC } ] [ <window_frame> ] )
For details about window_frame
syntax, see Window Frame Syntax and Usage.
Usage Notes¶
For compatibility with implementations of this function in other systems,
{ IGNORE | RESPECT } NULLS
can also be specified in the arguments for the function:LAST_VALUE( <expr> [ { IGNORE | RESPECT } NULLS ] ) OVER ...
If
{ IGNORE | RESPECT } NULLS
is not specified, the default isRESPECT NULLS
, i.e. a NULL value is returned if the expression contains a NULL value and it is the last value in the expression.LAST_VALUE is a rank-related function so it requires a window to be specified, consisting of the following elements:
PARTITION BY <expr1>
subclause (optional).ORDER BY <expr2>
subclause (required) with an optionalwindow_frame
. For more details about additional supported ordering options (sort order, ordering of NULL values, etc.), see the ORDER BY query construct.
The optional
window_frame
(cumulative or sliding) specifies the subset of rows within the window for which the function is calculated.For window frames, this function supports only ROWS-based window frames, not RANGE-based window frames.
- Supported
ROWS BETWEEN ... AND ...
- Not supported
RANGE BETWEEN ... AND ...
If no
window_frame
is specified, the default is the entire window:ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING
This differs from the ANSI standard, which specifies the following default for window frames:
RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW
For more details about window frames, including syntax and examples, see Window Frame Syntax and Usage.
Examples¶
SELECT
column1,
column2,
LAST_VALUE(column2) OVER (PARTITION BY column1 ORDER BY column2) AS column2_last
FROM VALUES
(1, 10), (1, 11), (1, 12),
(2, 20), (2, 21), (2, 22);
+---------+---------+--------------+
| COLUMN1 | COLUMN2 | COLUMN2_LAST |
|---------+---------+--------------|
| 1 | 10 | 12 |
| 1 | 11 | 12 |
| 1 | 12 | 12 |
| 2 | 20 | 22 |
| 2 | 21 | 22 |
| 2 | 22 | 22 |
+---------+---------+--------------+
The next query contrasts the outputs of FIRST_VALUE
, NTH_VALUE
, and LAST_VALUE
. Note that:
The query creates a sliding window frame that is 3 rows wide, which contains:
The row that precedes the current row.
The current row.
The row that follows the current row.
The
2
in the callNTH_VALUE(i, 2)
specifies the second row in the window frame (which, in this case, is also the current row).When the current row is the very first row in the window frame, there is no preceding row to reference, so
FIRST_VALUE()
returns a NULL for that row.
SELECT
partition_col, order_col, i,
FIRST_VALUE(i) OVER (PARTITION BY partition_col ORDER BY order_col
ROWS BETWEEN 1 PRECEDING AND 1 FOLLOWING) AS FIRST_VAL,
NTH_VALUE(i, 2) OVER (PARTITION BY partition_col ORDER BY order_col
ROWS BETWEEN 1 PRECEDING AND 1 FOLLOWING) AS NTH_VAL,
LAST_VALUE(i) OVER (PARTITION BY partition_col ORDER BY order_col
ROWS BETWEEN 1 PRECEDING AND 1 FOLLOWING) AS LAST_VAL
FROM demo1
ORDER BY partition_col, i, order_col;
+---------------+-----------+---+-----------+---------+----------+
| PARTITION_COL | ORDER_COL | I | FIRST_VAL | NTH_VAL | LAST_VAL |
|---------------+-----------+---+-----------+---------+----------|
| 1 | 1 | 1 | NULL | 1 | 2 |
| 1 | 2 | 2 | 1 | 2 | 3 |
| 1 | 3 | 3 | 2 | 3 | 4 |
| 1 | 4 | 4 | 3 | 4 | 5 |
| 1 | 5 | 5 | 4 | 5 | 5 |
| 2 | 1 | 1 | NULL | 1 | 2 |
| 2 | 2 | 2 | 1 | 2 | 3 |
| 2 | 3 | 3 | 2 | 3 | 4 |
| 2 | 4 | 4 | 3 | 4 | 4 |
+---------------+-----------+---+-----------+---------+----------+