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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
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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 | ||
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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.
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The data type of the aggregated values is integer, float or string.
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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 |
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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
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Click Aggregate function and you will see the following result:
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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
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Click Aggregate function and you will see the following result:
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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
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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
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from demo.ecommerce.data group every 5m every 5m select min(bytesTransferred) as bytesTransferred_min |
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