So I would like to understand why Splunk does it.Īnd also I would like to know if there are some scenarios where use the base search is not recommended. ![]() This example uses a few simple XML elements to create a basic dashboard. After you become familiar with the simple XML source code, you can further customize the dashboard. | fields * | eval _time = strptime(Date,"%m/%d/%Y") This topic shows the source simple XML code behind dashboards. Index=example sourcetype=testing | fields *Īnd then at the subsearch I can see that when Splunk uses that best search is doing something weird adding the | fields * at search for example: The REST API endpoints can also read, update, and delete dashboards. For example, you can move a dashboard from a testing environment to production with the REST API endpoint. Create or replicate dashboards from different environments using the data/ui/views REST API endpoint. ![]() You can apply color thresholding to both the major value and the trend indicator. Create a dashboard using REST API endpoints. indexinternal source'splunkd.log' loglevel'error' timechart count. I have noticed that some users in our Splunk environment are always using base searches and Post-process searches, because they was told that was a good practice to do that.īut there are some cases I have noticed that the use of the base search is not speeding up the dashboard instead spent more time.įor example there is a dashboard that uses a base search and they use something like this: For example, the following search uses the timechart command to track daily errors for a Splunk deployment and displays a trend indicator and sparkline.
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