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Description

You can apply this operation either as a Filter or Create field operation:

Filter

Filters those events where a value is less than either another field of the same data type or a specified value.

Create field

Creates a Boolean column that shows true when a value is less than either another field of the same data type or a specified value.

How does it work in the search window?

Select Filter / Create field in the search window toolbar, then select the Less than operation. You need to specify two arguments:

Argument

Data type

Value mandatory

Any

is less than mandatory

The same as the Value data type

If you use the Create field operation, the data type of the values in the new field is boolean (true or false).

Working with strings

Be aware that in case you use strings, the values will be compared according to the ASCII code, in which each character has an associated value. If you want to know more about the ASCII code, click the following link.

Example

In the demo.ecommerce.data table, we want to get only the events where the number of bytes sent is less than 800. To do it, we will apply a Filter using the Less than operation.

The arguments needed for the filter are:

  • Value bytesTransferred field

  • is less than - Click the pencil icon and ente800

Click Filter data and you will see the following result:

Click Create field and follow the same steps to add a new Boolean column that shows true when the values in the bytesTransferred field are less than 800.

How does it work in LINQ?

Use the operator where...  to apply the Filter operation and select... as...  to apply the Create column operation. These are the valid formats of the Less than operation:

  • value1 < value2

  • lt(value1, value2)

Examples

You can copy the following LINQ scripts and try the above example on the demo.ecommerce.data table:

from demo.ecommerce.data
  where bytesTransferred < 800

or

from demo.ecommerce.data
  where lt(bytesTransferred, 800)

And this is the same example using the Create column operation:

from demo.ecommerce.data
  select bytesTransferred < 800 as bytes_lt_800

or

from demo.ecommerce.data
  select lt(bytesTransferred, 800) as bytes_lt_800
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