Counts events streaming through the function. Result is put in a field named _count.
It’s possible to specify a field, and only events containing that field is counted. It’s also possible to do a distinct count. When having many distinct values Humio will not try to keep them all in memory. Estimation is then used and the result will not be a precise match.
|field||string||No||Only events with this field is counted.|
|distinct||bool||No||Counts distinct values. When having many distinct values Humio uses estimation and the result is not exact.|
|as||string||No||_count||Name of output field.|
field is the unnamed parameter.
Below are several examples using the
count( ) function. Some are simple and others are more complex, with functions embedded within others.
count( )function. The query just counts the number of events found in the respository for the period of time selected. See Figure 1 here for how this query is entered (see highlighted text) and how the results may look.
The results may be surprising, but what you see in Figure 1 is correct. The results is just a single number, the total count; this is how it displays it.
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 occurences for each method found.
Figure 2 here shows how this query would be entered on the Search page for a repository — see the highlighted text. It shows in the results a table with the column headings, method and _count, with the values for each.
You can use the
count( ) function in conjunction with the
timeChart( ) function to count the number occurences 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 3 here.
You can see an example of this query in Figure 4 here. Notice that in the results there is a table with the column headings statuscode and _count, and the values for each status code in the rows below them.