Description
This operation returns the highest value below the 10th percentile of a specified column for each grouping occurrence using linear interpolation.
How does it work in the search window?
Before being able to perform this operation, you have to group your data. Be aware that the columns used as arguments for the grouping operation will not be available to select as arguments for the aggregation operation.
After grouping the data, select Aggregation in the search window toolbar, then select the Percentile 10 operation. You need to specify one argument:
Argument | Data type |
|---|---|
Source mandatory | integer |
The data type of the aggregated values is integer.
Example
In the demo.ecommerce.data table, we want to get the highest value below the 10th percentile of the bytesTransferred column in each 5-minute period. Before aggregating the data, the table must be grouped in 5-minute intervals. Then we will perform the aggregation using the Percentile 10 operation.
The arguments needed for the Percentile 10 operation are:
Source → bytesTransferred column
_10.png?version=1&modificationDate=1660039235599&cacheVersion=1&api=v2)
Click Aggregate function and you will see the following result:
_20.png?version=2&modificationDate=1660039288019&cacheVersion=1&api=v2&width=448&height=203)
How does it work in LINQ?
Group your data using the following structure:
group every server period by column1, column2...every client period
Then, use select... as... to add the new column that will show the aggregated values. This is the syntax for the Percentile 10 operation:
percentile10(integer_column)
See Build a query using LINQ to learn more about grouping and aggregating your data using the LINQ language.
Example
You can copy the following LINQ syntax and try the example above on the demo.ecommerce.data table:
from demo.ecommerce.data group every 5m every 5m select percentile10(bytesTransferred) as percentile10_bytes