![]() | table ul-ctx-head-span-id thod ul-log-data. | table ul-ctx-head-span-id thod ul-log-data.function ul-span-duration | eval ul-log-data.function = mvindex(split(func_dur, "|"), 0), ul-span-duration = mvindex(split(func_dur, "|"), 1) | stats values(thod) as thod values(func_dur) as func_dur by ul-ctx-head-span-id | eval func_dur = 'ul-log-data.function'. Try that and see if you get the results you're looking for.Įdit: Another way to accomplish this: (index=cosv2 ul-ctx-source=c4rupgrd ( ("ul-ctx-caller-span-id"=null) OR ("ul-ctx-caller-span-id"!=null "thod"="*") ) | table _time ul-ctx-head-span-id http_url function ul-span-duration The easiest way to do this would be to use a join command: index=cosv2 ul-ctx-source=c4rupgrd "ul-ctx-caller-span-id"!=null "ul-log-data.function"="GetRemainingAsync" OR "ul-log-data.http_url"=" | join ul-ctx-head-span-id ![]() It means if I get 4 row data in first search, then after join, I need show 8 row dataįorgive my poor English, can someone help on this? Please note: the second search depends on the field "ul-ctx-head-span-id" in the result of first search.įinally, I want get a table like below: ul-ctx-head-span-id | thod | ul-log-data.function|ul-span-duration With the field "ul-ctx-head-span-id", second search will return 2 row data with different ul-log-data.function, ul-span-duration, so the table will be: ul-ctx-head-span-id | ul-log-data.function|ul-span-duration With this search, I can get several row data with different methods in the field thod, so the table will be: ul-ctx-head-span-id | thod If you are still facing an issue regarding optimize dashboard using base search, Feel free to Ask Doubts in the Comment Section Below and Don’t Forget to Follow us on □ Social Networks.First search: index=A "ul-ctx-caller-span-id"=null Modify the search which are using tokens, as follow Below is a search that runs and gives me the expected output of total of all IPs seen in the scans by System: inputlookup scandata2.csv join typeinner inputlookup KVsystem where isnotnull (stuff) eval stuffsplit (stuff, 'delim. Then remove the earliest, latest & sampleRatio tag and add “base” attribute to our search tag, as shown below: I am trying to get data from two different searches into the same panel, let me explain. We will modify this search by removing the part of search we are using for our base search and write “search” before the query. Now let’s see how we are going modify our search in the panel, before modifying our search that is populating the panel looks something like this : And at last & will apply the time as mentioned to all the panel which depends on this base seach. After that we have written our Base Search in tag, and here we have used “field=*” after our Base Search, this will extract all fields we will use in the dashboard, you can modify this part by extracting only those fields which you will use in your dashboard. In the first line we have created a tag and gave an“id” attribute to it. Let’s break it down and try to understand each line. Now, the next step will be go to your dashboard, click on edit then navigate to source and add the following into the XML code.Īs you can see, we have written our Base Search after the tag. ![]() So, here we are going to use this part as a Base Search. Now take look at searches used to obtain the above results: index=main sourcetype="csv" | stats count by Payment index=main sourcetype="csv" "Invoice ID"=* | stats count by date_month | rename date_month as Month | eval foobar_slice = count + ", " + Month | fields foobar_slice, count index=main sourcetype="csv"| rename "Sub Category" as Sub_Category | stats count by Sub_Category | eval show = count + ", " + Sub_Category | fields show,countĪs you can see there is a part of search which is common in all three i.e, “ index=main sourcetype="csv" ” So, to optimize the performance of Splunk we are going to use Base Search which is also known as “Post-Process Searches in Splunk”.įor the demonstration purpose I have created three panel in a dashboard, there can be ‘n’ number of panels in the dashboard but the implementation of Base Search will be same, as explained in this blog. What is happening because of that is Splunk is going to take more time to load the results and it can reduce the overall performance of Splunk. It means that the same search is running more than once to populate the result. In our dashboard if we take a closer look at the searches that is used to populate a panel/visualization, you may find that few parts of the search are very similar to one another. Let’s first take a look at a scenario where we can use Base Search so that we can better understand about Base Search and in which situation to use it and optimize dashboard using base search. What is Base Search? Any idea’s, if not then don’t worry that’s what we are going to understand today in this blog.
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