Counts the number of events in the repository, or streaming through the function. The result is put in a field named, _count. You can use this field name to pipe the results to other query functions or general use.

It's possible to specify a field and only events containing that field are counted. It's also possible to do a distinct count. When having many distinct values LogScale will not try to keep them all in memory. An estimate is then used, so the result will not be a precise match.

ParameterTypeRequiredDefaultDescription
asstringoptional[a]_count The name of the output field.
distinctbooleanoptional[a]  When specified, counts only distinct values. When this parameter is set to true, LogScale always uses an estimate, which may give an inexact result as the value.
field[b]stringoptional[a]  The field for which only events are counted.

[a] Optional parameters use their default value unless explicitly set

[b] The argument name field can be omitted.

Omitted Argument Names

The argument name for field can be omitted; the following forms of this function are equivalent:

logscale
count("value")

and:

logscale
count(field="value")

count() Examples

Below are several examples using the count() function. Some are simple and others are more complex, with functions embedded within others.

Count All Events

Count All Events

Figure 170. Count All Events


Below is a simple example using the count() function. The query just counts the number of events found in the repository for the period of time selected. See Figure 170, “Count All Events” for how the following query is entered (see highlighted text):

logscale
count()

The results is just a single number, the total count; this is how it displays it.

Group & Count

Group Count

Figure 171. Group Count


In this example, the query uses the count() function within the groupBy() function. The first parameter given is the field upon which to group the data. In this case, it's the HTTP method (e.g., GET, PUT, POST). The second parameter says to use the function count() to count the number occurrences for each method found.

logscale
groupby(field=method, function=count())

Figure 171, “Group Count” shows how this query would be entered on the Search page for a repository. It shows in the results a table with the column headings, method and _count, with the values for each.

Chart of Daily Counts

count() Chart of Daily Counts

Figure 172. count() Chart of Daily Counts


You can use the count() function in conjunction with the timeChart() function to count the number occurrences of events or other factors. By default, the timeChart() function will aggregate the data by day. The results will look something like what you see in the screenshot shown in Figure 172, “count() Chart of Daily Counts”.

logscale
timechart(function=count())

Table of Daily Counts

Table of Daily Counts

Figure 173. Table of Daily Counts


When a user accesses a web site, the event is logged with a status. For instance, the status code 200 is returned when the request is successful, and 404 when the page is not found. To get a list of status codes returned and a count of each for a given period, you would enter the following query in the Search box:

logscale
groupby(field=status, function=count())

You can see an example of this query in Figure 173, “Table of Daily Counts”. Notice that in the results there is a table with the column headings status and _count, and the values for each status in the rows below them.