# AND

AND logical operator works in the following way:

• If both expressions are true (e.g. not FALSE and not NULL), then the result is true.
• In all other cases, the result is false.

If you combine filters using AND, both filters are applied when computing the metric.

## Examples:

``````SELECT {metric/payment} WHERE {label/date.year} = "2006" AND {label/date.month} = "5"
``````

While OR combines filters in a way that allows more data to pass through insight computations, AND restricts, or limits, the amount of data that is used in computations.

Consider the case where our metric has a filter that serves to include all data from 2006 as well as data from the first four months of 2007. Adding an additional AND clause onto the metric definition limits the data that is used in the metric’s computations because now there are more conditions than before that data must meet in order to be included in computations.

In the following example, payments must come from 2006 or the first four months of 2007 to be included in metric computations. They must also be greater than \$10,000.

``````SELECT SUM({metric/payment}) WHERE ({label/date.year} = "2006" OR {label/date.month} IN ("2007-01", "2007-02", "2007-03", "2007-04")) AND {metric/payment} > 10000
``````

Payment values that come from 2006 or the first four months of 2007 but are less than 10,000 will be excluded.