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Description

This operation returns the lowest value found in a data set.

How does it work in the search window?

You can use this operation in two different ways; as an Aggregation or Create column operation:

  • Aggregation: returns the lowest value found in a specified column for each grouping occurrence.

  • Create column: creates a column that shows the lowest of the values found in two or more numeric columns.

Aggregation

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 Minimum operation. You need to specify one argument:

Argument

Data type

Description

Min of mandatory

First of (alphabetical ordered) mandatory

integer, float

string

When the selected argument is a number, the argument will be automatically transformed into Min of and will retrieve the lowest value found in the specified column for each grouping occurrence.

When the selected argument is a string, the argument will be automatically transformed into First of (alphabetically ordered) and will retrieve the first of the alphabetically ordered values found in the specified column for each grouping occurrence.

Be aware that if a string column used as the argument contains null values, they will be considered when ordering alphabetically. Consequently, if the value retrieved is null, it does not mean the operation has failed, only that it is the first value found when ordering alphabetically.

The data type of the aggregated values is integer, float or string.

Create column

Select Create column in the search window toolbar, then select the Minimum operation. You need to add at least two Any number arguments, but you can add as many as required.

Argument

Data type

Any number mandatory

integer, float

Any number mandatory

integer, float

The data type of the values in the new column is integer or float.

Example

Aggregation 1

In the demo.ecommerce.data table, we want to get the lowest value of the bytesTransferred column in each 5-minute group. Before aggregating the data, the table must be grouped in 5-minute intervals. Then we will perform the aggregation using the Minimum operation.

The arguments needed for the Minimum operation are:

  • Min of → bytesTransferred column

Click Aggregate function and you will see the following result:

Aggregation 2

In the siem.logtrust.web.activity table, we want to get the first alphabetical value of the city column in each 5-minute group. Before aggregating the data, the table must be grouped in 5-minute intervals. Then we will perform the aggregation using the Minimum operation.

The arguments needed for the Minimum operation are:

  • First of (alphabetically ordered) → city column

Click Aggregate function and you will see the following result:

Create column

In the demo.ecommerce.data table, we want to get the lowest of the values found in either the bytesTransferred or timeTaken columns for each event. To do that, we will create a column using the Minimum operation.

The arguments needed for the Minimum operation are:

  • Any Number → bytesTransferred column

  • Any Number → timeTaken column

Click Create column and you will see the following result:

How does it work in LINQ?

Aggregation

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 Minimum operation:

  • min(numeric_column)

  • min(string_column)

See Build a query using LINQ to learn more about grouping and aggregating your data using the LINQ language.

Create column

Use select... as...  to apply the Create column operation. This is the syntax for the Minimum operation:

  • min(numeric_column1, numeric_column2, numeric_column3...)

Examples

You can copy the following LINQ scripts and try the examples above on the demo.ecommerce.data and siem.logtrust.web.activity tables:

Aggregation 1
from demo.ecommerce.data
  group every 5m
  every 5m
  select min(bytesTransferred) as bytesTransferred_min
Aggregation 2
from siem.logtrust.web.activity
  group every 5m
  every 5m
  select min(city) as city_min
Create column
from demo.ecommerce.data
  select min(bytesTransferred, timeTaken) as min_bytes_time
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