![]() Now go to panels one by one and make these changes. Then mention the earliest and latest time it will apply for all the panels and mention “sampleRatio” as 1. Within the “query” tag write the common portion of the query from the three panels with table command ( or fields command ) where all the fields name will be there (fields which are used somewhere in the dashboard). You can also know about : Change Table Header Color Based on Values Present in the TableĪt first, at the top create a “search” tag and define an “id”. Here $text_token$ is the token for text input.Īs you can see in these three panels are having a common portion i.e “index=_internal sourcetype=splunkd_ui_access $text_token$”, so we will make this portion as our base search. In each of these three panels, we have three different queries like this.ġst Panel – index=”_internal” sourcetype=”splunkd_ui_access” $text_token$ |top status |head 1Ģnd panel – index=”_internal” sourcetype=”splunkd_ui_access” $text_token$ |top method |head 1ģrd Panel – index=_internal sourcetype=splunkd_ui_access $text_token$ |table method status file bytes uri_path | search |dedup file We have a dashboard named as “New_Demo_Dashboard” with three different panels and a “text input”. By using the base search, the complete dashboard will load simultaneously and faster. That will create a bad impression on your client. Lets say we are having multiple panels in a dashboard and it will take a lot of time to load. In this blog, we will work on the base search. Now each query will load one by one if one query took 5 seconds to load then it will take 25 seconds to load the complete dashboard (approx. Each panel contains different search queries– Suppose you have five panels in your dashboard and each panel contains different search query and it should. This is the first case which makes our dashboard slow.Ģ. Those tokens take time to pass through the panels. This message is due to the tokens that you created for different inputs. “Search is waiting for input” – This is a normal message you will find on panels every time when you launch your dashboard. Now take a look at those things which make your dashboard slow.ġ. That’s why concept of “base search” came in the picture which is also known as “Post Process searches in Splunk”Ī normal dashboard can contain numerous panels according to the conditions and each of the panels will have a different search query. ![]() That’s mean the same kind of searches is running more than once to populate different search result. Often you will find there are several searches similar to each other in one dashboard. Pivot generating searches and many more.Īmong these searches, our point of discussion will be “Post-process searches”. In Splunk, there are few types of searches available to populate search result or visualization as a form of dashboards those are, 1. Hello, Today in this blog we are going to implement the usage of “Base Search” to make your dashboard faster than ever before. Also the search clause is added to the subsearch query.Īs we see, the result contains only the events where the file size is equal to the max file size found by considering all the events, and the event day is a Sunday.How To Load Dashboard Faster Using “Base Search” Next, we add the subsearch query to the primary or the outer query by putting the subsearch inside square brackets. The below image shows the search and the result of this subsearch − Adding the Subsearch This identifies the maximum size of the file for the time frame for which the search query is run. ![]() We use the function Stat max with the field named bytes as the argument. We first create the subsearch to find the maximum file size. Then we want to find only those events where the file size is equal to the maximum size, and is a Sunday. We consider the case of finding a file from web log which has maximum byte size. Subsearches must be enclosed in square brackets in the primary search. When a search contains a subsearch, the subsearch is run first. In Splunk, the primary query should return one result which can be input to the outer or the secondary query. It is similar to the concept of subquery in case of SQL language. Subsearch is a special case of the regular search when the result of a secondary or inner query is the input to the primary or outer query.
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