Contents:
KTHLARGEST
extracts the ranked value from the values in a column, where k=1
returns the maximum value. The value for k
must be between 1 and 1000, inclusive. For purposes of this calculation, two instances of the same value are treated as separate values. So, if your dataset contains three rows with column values 10
, 9
, and 9
, then KTHLARGEST
returns 9
for k=2
and k=3
.
ROLLINGKTHLARGEST
computes the KTHLARGEST
value across a defined window of values within a column.
- 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 calculation 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.
- Inputs:
- Required column name
- Required kth value, which is a positive integer
- Two optional integer parameters that determine the window backward and forward of the current row. The default integer parameter values are
-1
and0
, which computes the rolling function from the current row back to the first row of the dataset.
- This function works with the following transforms:
For more information on a non-rolling version of this function, see KTHLARGEST Function.
Basic Usage
Column example:
derive type:single value:ROLLINGKTHLARGEST(myCol, 2)
Output: Generates a new column containing the rolling second largest of all values in the myCol
column from the first row of the dataset to the current one.
Rows before example:
window value:ROLLINGKTHLARGEST(myNumber, 2, 3)
Output: Generates the new column, which contains the rolling second largest value of the current row and the two previous row values in the myNumber
column.
Rows before and after example:
window value:value:ROLLINGKTHLARGEST(myNumber, 4, 3, 2)
Output: Generates the new column, which contains the rolling fourth largest value of the two previous row values, the current row value, and the two rows after the current one in the myNumber
column.
Syntax and Arguments
window value:value:ROLLINGKTHLARGEST(col_ref, rowsBefore_integer, rowsAfter_integer) order: order_col [group: group_col]
Argument | Required? | Data Type | Description |
---|---|---|---|
col_ref | Y | string | Name of column whose values are applied to the function |
k_integer | Y | integer (positive) | The ranking of the value to extract from the source column |
rowsBefore_integer | N | integer | Number of rows before the current one to include in the computation |
rowsAfter_integer | N | integer | Number of rows after the current one to include in the computation |
For more information on the order
and group
parameters, see Window Transform.
For more information on syntax standards, see Language Documentation Syntax Notes.
col_ref
Name of the column whose values are used to compute the function.
- Multiple columns and wildcards are not supported.
Usage Notes:
Required? | Data Type | Example Value |
---|---|---|
Yes | String (column reference to Integer or Decimal values) | myColumn |
k_integer
Integer representing the ranking of the unique value to extract from the source column. Duplicate values are treated as separate values for purposes of this function's calculation.
NOTE: The value for k
must be an integer between 1 and 1,000 inclusive.
k=1
represents the maximum value in the column.- If k is greater than or equal to the number of values in the column, the minimum value is returned.
- Missing and null values are not factored into the ranking of
k
.
Usage Notes:
Required? | Data Type | Example Value |
---|---|---|
Yes | Integer (positive) | 4
|
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 four rows after it are used in the computation. Negative values for k
compute the rolling average from rows preceding the current one.
rowBefore=1
generates the current row value only.rowBefore=-1
uses all rows preceding the current one.- If
rowsAfter
is not specified, then the value0
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.
Usage Notes:
Required? | Data Type | Example Value |
---|---|---|
No | Integer | 4 |
Tip: For additional examples, see Common Tasks.
Examples
Example - ROLLINGKTHLARGEST functions
ROLLINGKTHLARGEST
- computes the kth largest value from a rolling window of rows before and after the current row. Duplicate values are treated as having the same k values. See ROLLINGKTHLARGEST Function.ROLLINGKTHLARGESTUNIQUE
- computes the unique kth largest value from a rolling window of rows before and after the current row. Duplicate values are treated as having different k values. See ROLLINGKTHLARGESTUNIQUE Function.
The following dataset contains daily counts of server restarts across three servers over the preceding week. High server restart counts can indicate poor server health. In this example, you are interested in knowing for each server the rolling highest and second highest count of restarts per server over the previous week.
Source:
Date | Server | Restarts |
---|---|---|
2/21/18 | s01 | 4 |
2/21/18 | s02 | 0 |
2/21/18 | s03 | 0 |
2/22/18 | s01 | 4 |
2/22/18 | s02 | 1 |
2/22/18 | s03 | 2 |
2/23/18 | s01 | 2 |
2/23/18 | s02 | 3 |
2/23/18 | s03 | 4 |
2/24/18 | s01 | 1 |
2/24/18 | s02 | 0 |
2/24/18 | s03 | 2 |
2/25/18 | s01 | 5 |
2/25/18 | s02 | 0 |
2/25/18 | s03 | 4 |
2/26/18 | s01 | 1 |
2/26/18 | s02 | 2 |
2/26/18 | s03 | 1 |
2/27/18 | s01 | 1 |
2/27/18 | s02 | 2 |
2/27/18 | s03 | 2 |
Transform:
First, you want to maintain the row information as a separate column. Since data is ordered already by the Date
column, you can use the following:
derive type:single value:ROWNUMBER() as:'entryId'
Use the following function to compute the rolling kth largest value of server restarts per server over the previous week. In this case, you can use the ROLLINGKTHLARGEST
function, setting k=1. Uniqueness doesn't matter for calculating the highest value:
derive type: multiple value: rollingkthlargest(Restarts, 1, 6, 0) group: Server order: Server as: 'rollingkthlargest_1'
Use the following function to compute the rolling second highest value. In this case, you can use ROLLINGKTHLARGESTUNIQUE
:
derive type: multiple value: rollingkthlargestunique(Restarts, 2, 6, 0) group: Server order: Server as: 'rollingKthLargestUnique_2'
Results:
entryId | Date | Server | Restarts | rollingKthLargestUnique_2 | rollingkthlargest_Restarts |
---|---|---|---|---|---|
3 | 2/21/18 | s02 | 0 | 0 | 0 |
6 | 2/22/18 | s02 | 1 | 0 | 1 |
9 | 2/23/18 | s02 | 3 | 1 | 3 |
12 | 2/24/18 | s02 | 0 | 1 | 3 |
15 | 2/25/18 | s02 | 0 | 1 | 3 |
18 | 2/26/18 | s02 | 2 | 2 | 3 |
21 | 2/27/18 | s02 | 2 | 2 | 3 |
4 | 2/21/18 | s03 | 0 | 0 | 0 |
7 | 2/22/18 | s03 | 2 | 0 | 2 |
10 | 2/23/18 | s03 | 4 | 2 | 4 |
13 | 2/24/18 | s03 | 2 | 2 | 4 |
16 | 2/25/18 | s03 | 4 | 2 | 4 |
19 | 2/26/18 | s03 | 1 | 2 | 4 |
22 | 2/27/18 | s03 | 2 | 2 | 4 |
2 | 2/21/18 | s01 | 4 | 4 | 4 |
5 | 2/22/18 | s01 | 4 | 4 | 4 |
8 | 2/23/18 | s01 | 2 | 2 | 4 |
11 | 2/24/18 | s01 | 1 | 2 | 4 |
14 | 2/25/18 | s01 | 5 | 4 | 5 |
17 | 2/26/18 | s01 | 1 | 4 | 5 |
20 | 2/27/18 | s01 | 1 | 4 | 5 |
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