Amazon Redshift will no longer support the creation of new Python UDFs starting Patch 198. Existing Python UDFs will continue to function until June 30, 2026. For more information, see the [ blog post ](https://aws.amazon.com/blogs/big-data/amazon-redshift-python-user-defined-functions-will-reach-end-of-support-after-june-30-2026/). 

# MIN window function
<a name="r_WF_MIN"></a>

 The MIN window function returns the minimum of the input expression values. The MIN function works with numeric values and ignores NULL values. 

## Syntax
<a name="r_WF_MIN-synopsis"></a>

```
MIN ( [ ALL ] expression ) OVER
(
[ PARTITION BY expr_list ]
[ ORDER BY order_list frame_clause ]
)
```

## Arguments
<a name="r_WF_MIN-arguments"></a>

 *expression *   
The target column or expression that the function operates on. 

ALL   
With the argument ALL, the function retains all duplicate values from the expression. ALL is the default. DISTINCT is not supported.

OVER   
Specifies the window clauses for the aggregation functions. The OVER clause distinguishes window aggregation functions from normal set aggregation functions.

PARTITION BY *expr\$1list*   
Defines the window for the MIN function in terms of one or more expressions.

ORDER BY *order\$1list*   
Sorts the rows within each partition. If no PARTITION BY is specified, ORDER BY uses the entire table.

 *frame\$1clause*   
If an ORDER BY clause is used for an aggregate function, an explicit frame clause is required. The frame clause refines the set of rows in a function's window, including or excluding sets of rows within the ordered result. The frame clause consists of the ROWS keyword and associated specifiers. See [Window function syntax summary](c_Window_functions.md#r_Window_function_synopsis).

## Data types
<a name="r_WF_MIN-data-types"></a>

Accepts any data type as input. Returns the same data type as *expression*.

## Examples
<a name="r_WF_MIN-examples"></a>

The following example shows the sales ID, quantity, and minimum quantity from the beginning of the data window: 

```
select salesid, qty,
min(qty) over
(order by salesid rows unbounded preceding)
from winsales
order by salesid;

salesid | qty | min
---------+-----+-----
10001 |  10 |  10
10005 |  30 |  10
10006 |  10 |  10
20001 |  20 |  10
20002 |  20 |  10
30001 |  10 |  10
30003 |  15 |  10
30004 |  20 |  10
30007 |  30 |  10
40001 |  40 |  10
40005 |  10 |  10
(11 rows)
```

 For a description of the WINSALES table, see [Sample table for window function examples](c_Window_functions.md#r_Window_function_example).

The following example shows the sales ID, quantity, and minimum quantity in a restricted frame: 

```
select salesid, qty,
min(qty) over
(order by salesid rows between 2 preceding and 1 preceding) as min
from winsales
order by salesid;

salesid | qty | min
---------+-----+-----
10001 |  10 |
10005 |  30 |  10
10006 |  10 |  10
20001 |  20 |  10
20002 |  20 |  10
30001 |  10 |  20
30003 |  15 |  10
30004 |  20 |  10
30007 |  30 |  15
40001 |  40 |  20
40005 |  10 |  30
(11 rows)
```