![]() ![]() Now, we’re up closer to 100K events scanned per second. ![]() This search has completed and has returned 1 result by scanning 10,194,402 events in 101.391 seconds.ĭEBUG: search context: user="dwaddle", app="search", bs-pathname="/opt/splunk/var/run/searchpeers/-1397608920" Running the same search immediately after shows slightly improved performance in terms of events scanned per second. The following messages were returned by the search subsystem:ĭEBUG: Disabling timeline and fields picker for reporting search due to adhoc_search_level=smartĭEBUG: search context: user="dwaddle", app="search", bs-pathname="/opt/splunk/var/run/searchpeers/-1397608437"ĭEBUG: base lispy: ĭEBUG: search context: user="dwaddle", app="search", bs-pathname="/opt/splunk/etc"Ī little math says we were scanning about 88K events per second. When the search has finished, we have (thanks Search Inspector!): This search has completed and has returned 1 result by scanning 10,272,984 events in 116.506 seconds. Now we can run our search in one window, while running the SystemTap script in another and a top command in yet a third. ~]$ sudo -i bash -c "echo 1 > /proc/sys/vm/drop_caches" But before we start, let’s dump the kernel’s cache and confirm it’s been done. I’ll manually finalize the search after approx 10,000,000 events. I’m running this from my search head, and limiting it to the single indexer in order to accurately measure, while it’s running, the overall cache effectiveness and CPU usage. So let’s look at an example of a very dense search: index=* splunk_server= | stats count I have made a 3 or 4 line change from the script on the SystemTap site in order to add a timestamp to each output line, but that’s all. This gives us some visibility into the Linux kernel’s VFS layer to see how frequently the kernel is able to satisfy IOs from the cache versus having to issue IO against the actual block device. But, there are some very nice tools to help make some more information available. This can sometimes make it harder to know the effectiveness of memory in an indexer on search performance. Instead, Splunk counts on the operating system’s native caching for files in order to cache data. That is to say, there is not such thing as an SGA for your Oracle types, and the DB/2 DBAs may be disappointed to find there’s no bufferpool. That’s it, now you can sort on any time field you have and use it for the time pickin anytime and anywhere you want.Unlike a traditional relational DBMS, Splunk does not use an in-process buffering or caching mechanism. So this should look something like your very own masterpiece. This is the magic sauce which will choose the field to use for the Time Picker.Īlso notice that I we added the new fields and values to the report to make it easier to understand what the Panel is doing. You can see where I have inserted $selected_date_field$. Now we need to add the Radio Button variable to the search string. Note that we are simply adding field names and a pretty description of each field. Now we can add a few fields to select from. In the panel editor, add a drop down and let’s give it a Label of “Pick a Date” and a Token Name of selected_date_field. ![]() Now maybe you would like to add a Radio Button to allow you to pick the field you want to sort on. | table claim_filing_date _time Start_Time info_min_time | eval Stop_Time= strftime(info_max_time,"%m/%d/%y") | eval Start_Time= strftime(info_min_time,"%m/%d/%y") | inputlookup SampleData.csv | `setsorttime(claim_filing_date, %Y-%m-%d)` Then your search from above would look like this. | where _time>=info_min_time AND (_time=info_min_time AND (_time<=info_max_time OR info_max_time="+Infinity") The statement is needed for the time control in reports and panels to make it work properly. This statement adds info_min_time and info_max_time fields which are the min and max of the new values for _time that you have. This sorts all of the records by time since they weren’t in that order before. Learn to specify Date and Time variables here. This converts the date in “claim_filing_date” into epoch time and stores it in “_time”. Index=myindex something=”thisOneThing” someThingElse=”thatThing” myTimeField=”06-26-2016” Get as specific as you can and then the search will run in the least amount of time. | where _time>=info_min_time AND (_time munge later. | eval _time= strptime(claim_filing_date,"%Y-%m-%d") Here is a solution you might use to make time selections work in every case including in panels. ![]() You may have the same problem when the current _time field is not the time field you want to use for the current search. When you are working with Hadoop using Hunk or when you are working with Splunk and the time field you want to work with is not _time, you may want to use the time picker in a dashboard with some other time field. ![]()
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