(endpoint="/userinfo" AND request-id="random-hash") OR user="random-hash" However, there are other ways to formulate your query! See this link for inspiration. However, some older splunk versions do not support it. This is used for funneling the output of one splunk query, into another query. | eval ip_addr=if(isnull(ip_addr), "null", ip_addr) Trying to use a nested value in a dictionary, in an eval statement? Use rename first! Example Entry: # eval word = "foobar" | eval short = substr(word, 1, 3) | table short Substrings eval variable_name = substr(variable, start_index, length) String Concatenation eval variable_name = "string1". # This is especially handy when you want to ignore whitespace! String Replacement rex mode=sed field=your_field "regex_statement" If you're trying to get multiple matches, use max_match, where max_match=0 finds unlimited matches. | eval status=if(messageStatus = "undelivered", "fail", "success") | rex field=context.MessageStatus "(?\w+)" Instead, we need to do the following: index="my_log" If you're unable to match field values as you expect, extract the non-whitespace values from the field and compare against that instead.įor example, in the below example, ssageStatus may contain whitespace, so Splunk won't capture them with a standard =. Strings String Matching (with whitespace supression) Analysis Events over time index="my_log"Īrrays Does an array contain a specific value? "array_name', array_index) Why is it so hard to find out how to do a certain action? So this is a cheatsheet that I constructed to help me quickly gain knowledge that I need. This makes for an exportable, more processable set of results that a tool like Excel can ingest to perform further analysis with relatively little reformatting needed.Ĭome back tomorrow for how to get the export to work “out of the box”.I really don't like Splunk documentation. List doesn’t uniquify the values given to it, so while you still only get one line per IP address (since that was our by clause in the snippet above), you get as many IP addresses listed as there are users (in this example). When Splunk exports those results in a CSV, instead of getting a nice, processable file, you get tabs separating what would otherwise be individual items that have all been grouped into one field. Values will aggregate all of the following users associated with IP addresses: 10.10.10.10 & gerfluggle, jbobgorry, kingping11 10.10.20.10 & fergus97.īut it exports in lousy form if you need to further process the data in another tool (eg Microsoft Excel). So for each unique IP address, you will collate a uniquified list of users. Your search might contain the following chunk: | stats values(user) as user by IP_addr. Here’s a prime example – say you’re aggregating on the field IP_addr all user values. List is an aggregating, not uniquifying function. Values is an aggregating, uniquifying function. There are two, list and values that look identical…at first blush.īut they are subtly different. Splunk’s | stats functions are incredibly useful and powerful.
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