host, STO,department host1,abc,dept1 host2,xyz,dept2. Remove duplicate search results with the same host value. Use these examples as a guide for writing your custom search command Python script. Remove duplicate results based on one field. The splunk-app-examples repository on Github contains example custom search commands. To learn more about the dedup command, see How the dedup command works. Say lookup table name is hostinfo.csv with fields host, STO, department. The following are examples for using the SPL2 dedup command. Assume there is lookup table which give STO (server type owner) and department information for a host. This example returns in=TRUE if one of the values in the status field matches one of the values in the list. Lets take an example to understand the command better. If the expression references a field name that contains characters other than a-z, A-Z, 0-9, or the underscore ( _ ) character, the field name must be surrounded by single quotation marks. All strings must be enclosed in double quotation marks.
In this example, maria is a string literal. The following table shows a few examples: This can include an expression such as field=value. With the where command, you must specify a that evaluates to TRUE. For the complete syntax, usage, and detailed examples, click the command name to display the specific topic for that command. There is a short description of the command and links to related commands. The where command takes the results from your search and removes all of the results that do not match the that you specify. The table below lists all of the search commands in alphabetical order. The left-side dataset is sometimes referred to as the source data. The left-side dataset is the set of results from a search that is piped into the join command. Put corresponding information from a lookup dataset into your events This example appends the data returned from your search results with the data in the users lookup dataset using the uid field. Use the join command to combine the left-side dataset with the right-side dataset, by using one or more common fields. To learn more about the lookup command, see How the lookup command works. Unlike Splunk rex and regex commands, erex does not require Regex information, and instead allows the user to define conflicting examples and examples of data to be matched. The following are examples for using the SPL2 lookup command. The where command acts as a filter on your search results. Instead of reading Regex’s entry and exit, Splunk provides an erex command, which allows users to generate regular expressions. The where command is identical to the WHERE clause in the from command. The where command only returns the results that evaluate to TRUE. A predicate expression, when evaluated, returns either TRUE or FALSE. Here's an example:Įither method returns a field called ipclass that contains the class portion of the IP address.The where command uses to filter search results. Field-value pair matching This example shows field-value pair matching for specific values of source IP (src) and destination IP (dst). To learn more about the search command, see How the search command works. You can use a forward slash ( / ), instead of quotation marks, to enclose the expression that contains a character class. The following are examples for using the SPL2 search command. You can escape the backslash character by adding another backslash, as shown in this example: You can specify the expression in one of two ways. However, the expression uses the character class \d. You want to extract the IP class from the IP address. In this example, the clientip field contains IP addresses. Regular expressions with character classes | rex field=ccnumber mode=sed "s/(\\d/XXXX-XXXX-XXXX-/g" 2. The \d must be escaped in the expression using a back slash ( \ ) character.
In this example the first 3 sets of numbers for a credit card are masked.
#Splunk commands examples series#
Use a to match the regex to a series of numbers and replace the numbers with an anonymized string to preserve privacy. It is a process of narrowing the data down to your focus. To learn more about the rex command, see How the rex command works. Here is an example of an event in a web activity log: 10/Aug/2022:18:23:46 userID176 countryUS paymentID30495 Search commands help filter unwanted events, extract additional information, calculate values, transform data, and statistically analyze the indexed data. Streaming commands filter, modify, or augment event records and can be applied to subsets of index data in a parallel manner. The following are examples for using the SPL2 rex command.
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