![]() ![]() For example, you can calculate the running total for a particular field. The streamstats command calculates statistics for each event at the time the event is seen. Rename count to yesterday to identify the line in the timechart from the other days.Adds cumulative summary statistics to all search results in a streaming manner. We add the where command after the timechart to ensure that no time is plotted outside of today’s hourly range. | timechart span=1h count | where count > 0 | rename count AS Yesterday] This is important as we are joining the searches based on the _time. Next we use the timechart command with a span of 1h, which is the same span as the Benchmark search. By adding 86,400 seconds to the time, Splunk thinks that Yesterday’s time is today! Index=star sourcetype=syslog vendor=function1 consultant=$consultant$ use the eval command to “disguise” Yesterday’s time as Today’s time. The earliest and latest time restricts the search to Yesterday. This will give the user the ability to select a specific consultant to evaluate performance from day to day. The next piece of the search is the same as the benchmark search except consultant will be a variable $consultant$. Yesterday will begin with a join command to join its search to the benchmark results by hour. Next we will start to add the day over day compares. We have to use the eval command to disguise time from Yesterday to Today.īy using the eval command, the benchmark time chart reflects the hours from today. ![]() We use yesterday’s time as opposed to today’s time as a benchmark so that all of the hours are populated with data and present in the results. This search establishes the hourly time chart to allow for the join command to execute effectively. Index=star sourcetype=syslog vendor=function1 consultant=* _time=_time+86400 | timechart span=1h count | rename count AS Benchmark The search for the Benchmark is as follows: This is very important if you are using dropdowns with values that might vary from day to day. We will remove this search at the end, but it serves to provide each hour with data. The first thing we need to add is a benchmark search. Note: This search will be heavy, be sure to make the search as specific as possible before the first pipe! We will use the eval command to convert time to look like today’s time and then we will use the timechart to show the different days by hour. In this example, we are going to compare the last 7 days of data by the hour with today’s data. ![]()
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