There are many different ways to determine what should be the base search and what should be in each post-process search. Splunk Search with transforming command retuning transformed results: Splunk Search with non-transforming commands returning RAW results: This scenario typically happens when you use a non-transforming search as the base. This can result in a timeout due to an unresponsive splunkd daemon/service. If the post-processing operation takes too long, it can exceed Splunk Web client’s non-configurable timeout value of 30 seconds.A transforming search as the base search helps avoid reaching the 500,000 event limitation. This results in incomplete data for the post-process search. The post-process search does not process events in excess of this 500,000 event limit, silently ignoring them. If the base search is a non-transforming search, the Splunk platform retains only the first 500,000 events returned.Chaining for multiple post-process searches is not currently supported for SimpleXML dashboards.The documentation that is provided on Splunk Docs show a few limitations that you should consider before using the Post-process search: The Documented Limitations of Post-Process Searches To circumvent this limitation, it is best practice to use one of the transforming commands and as always, refine your search as much as possible to reduce the number of results and reduce your search.
This is largely due to one of the limitation of Post-process being it can only return a max of 500,000 events and it will truncate without warning. The base search should always avoid returning RAW events and instead return transformed results. The Post-process search is known and referred to as a base search.
Transformed event data is data that was returned by a search and is placed in the form of statistical tables which is used as the basis for visualizations. When running a search in Splunk it will return RAW event data or transformed event data. This is accomplished by using Post-process searches that are easily added in the SimpleXML of the desired dashboard.
#Splunk create dashboard full
With proper optimization techniques a full typical dashboard with 10 panels can run less than three Splunk queries versus the 10 individual searches that would normally run. There are other situations or limitations that occur such as user concurrent-search limits. This creates more overhead every time the dashboard is opened or refreshed, causing the dashboard to open or populate more slowly and increasing the demand on the Splunk infrastructure. one graph showing “allowed” and another showing “blocked”). When creating Splunk dashboards, we often have the same search run multiple times showing different types of graphs or with slight variations (i.e. Optimizing Splunk Dashboards with Post-process Searches Optimizing Splunk Dashboards with Post-Process Searches
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