Computes the rolling minimum of values forward or backward of the current row within the specified column. Inputs can be Integer, Decimal, or Datetime.
• If an input value is missing or null, it is not factored in the computation. For example, for the first row in the dataset, the rolling minimum of previous values is undefined.
• The row from which to extract a value is determined by the order in which the rows are organized based on the `order` parameter.

• If you are working on a randomly generated sample of your dataset, the values that you see for this function might not correspond to the values that are generated on the full dataset during job execution.

• The function takes a column name and two optional integer parameters that determine the window backward and forward of the current row.
• The default integer parameter values are `-1` and `0`, which computes the rolling function from the current row back to the first row of the dataset.
• This function works with the Window transform. See Window Transform.

For more information on a non-rolling version of this function, see MIN Function.

Column example:

 rollingmin(myCol)

Output: Returns the rolling minimum of all values in the `myCol` column.

Rows before example:

 rollingmin(myNumber, 3)

Output: Returns the rolling minimum of the current row and the three previous row values in the `myNumber` column.

Rows before and after example:

 rollingmin(myNumber, 3, 2)

Output: Returns the rolling minimum of the three previous row values, the current row value, and the two rows after the current one in the `myNumber` column.

 rollingmin(col_ref, rowsBefore_integer, rowsAfter_integer) order: order_col [group: group_col]

ArgumentRequired?Data TypeDescription
col_refYstringName of column whose values are applied to the function
rowsBefore_integerNintegerNumber of rows before the current one to include in the computation
rowsAfter_integerNintegerNumber of rows after the current one to include in the computation

For more information on the `order` and `group` parameters, see Window Transform.

### col_ref

Name of the column whose values are used to compute the function. Inputs must be Integer, Decimal, or Datetime values.

 NOTE: If the input is in Datetime type, the output is in unixtime format. You can wrap these outputs in the DATEFORMAT function to generate the results in the appropriate Datetime format. See DATEFORMAT Function.
• Multiple columns and wildcards are not supported.

Required?Data TypeExample Value
YesString (column reference to Integer or Decimal values)`myColumn`

### rowsBefore_integer, rowsAfter_integer

Integers representing the number of rows before or after the current one from which to compute the rolling function, including the current row. For example, if the first value is `5`, the current row and the five rows before it are used in the computation. Negative values for `k` compute the rolling average from rows preceding the current one.

• `rowBefore=0` generates the current row value only.
• `rowBefore=-1`  uses all rows preceding the current one.
• If `rowsAfter` is not specified, then the value `0` is applied.
• If a `group` parameter is applied, then these parameter values should be no more than the maximum number of rows in the groups.

Required?Data TypeExample Value
NoInteger`4`