Everything You Need To Know About Splunk Dedup

The Splunk Dedup command eliminates any events that are based on an identical set of values for all fields that the user has specified. The Dedup command within Splunk eliminates any duplicates from the results and shows only the most recent logs for the specific event. The Splunk Dedup function will display the first key value that is found for the specific search term or field.

Splunk Dedup’s functionality Splunk Dedup

With the Splunk Dedup command it is possible to specify the number of duplicates in relation to events that they wish to be kept either for each value in a single field or for combinations of every value in different fields. The events reversed to the original events by Splunk Dedup are determined by search order. In the case of searches that are historical, those that have occurred in the past are usually searched. However, for real-time search, the most important events that are returned are the events that are searched, and could not be those that are the most current events that were held.

With the aid of Splunk Dedup users can specify only the number of events that have duplicate values, or combinations to be retained. You can also sort the fields by value for a clearer understanding of the events that are kept. Other options available in Splunk Dedup permit users to preserve events through the elimination of duplicate fields, or keep those events in which the required fields are not included in the event. Check out this Splunk training and placement course to start learning splunk today.

Distinguishing among Uniq Splunk Dedup and Splunk Dedup commands

The principal function of Uniq commands is to eliminate duplicate information if the whole row or event is identical. While Dedup commands concentrate only at fields that are specifically identified. For example, if the user states, “| dedup host” The Dedup command is focused on the host field and removes the first entry of each host. When using dedup commands, you can set multiple fields. It can also be selected consecutively.

The Dedup command eliminates events that contain duplicate values which are in nature consecutive or left empty to preserve events that do not contain the required field. The Uniq command eliminates any search results that are an exact duplicate, therefore the events must be restored before being able to use it. However, the dedup command can be extremely flexible, unlike the Uniq command. Dedup command is able to be map-reduced, and reduced to a specific size, which defaults to 1, and can be applied to n numbers of fields simultaneously at the time of time.

Utilization in the Splunk Dedup command

One should avoid using the Splunk Dedup command for the _raw field when looking over large volumes of data. If this feature is used, the information of each incident in the memory will be saved which will affect the ability to search. In Splunk Dedup, this is the expected behavior and can be used for any field that has significant cardinality as well as a huge dimension. For example, if the user was searching for all values or logs and then applied a Splunk dedup command on the users id fields i.e. the dedup field displays just one value or log for each uid.No duplicate logs occur during the entire procedure.

Explanation of the Lexicographical order

Lexicographical order functions are performed by sorting items according to their values that are used to encode items in memory on the device. For Splunk software, it happens to items that are based on what values are used in coding items stored in the memory in computers. The Splunk software is usually encoded with UTF-8, which is a variant of ASCII. In Lexicographical order, it is numbers are sorted lexicographically. numbers are sorted before the letters, and the latter are stored according to the first number. For instance, The numbers 9, 10 70, 100, are sorted lexicographically, as 10 100, 70, 9.

When it comes to the alphabetical selection The uppercases are sorted prior to the lower cases. Symbols don’t follow any standard procedure for arranging them in alphabetical order. They may be sorted prior to numbers and after the alphabetical value. Head to this splunk tutorial for beginners to learn more today.

Dedup as a filtering command

Dedup is a filtering command. It takes the results of a previous command and reduces them to smaller output. Elimination of duplicate data is the main feature of dedup’s filtering command. Splunk Dedup removes data that matches to a set of criteria. The command only retains the initial count results for each combination of specific fields. If the count isn’t stated, it will default to one and return the results prior to the results that are discovered.

Different purposes of Splunk Filtering commands for Dedup.

There are distinct commands for Splunk Dedup filtering to deal with a particular situation. In the event of keeping all results while removing just duplicate data, users able to execute the command keep events. If the results that are reverted are the first results that were found using the combination of particular field values. Which are typically more recent. That is, the user could make use of type by clause feature to alter order of results in case needed. In the case that the fields for which the specific field does not retain any ec=xsit data at as default. Users could use the option keep null= to alter the default behavior in the event that he wishes to.

sort_field options within Splunk Dedup

Solt_filed has a variety of alternatives for Dedup. The user can see the various options available for sorting the data through this. It is the name of the field that is to be sorted. Auto feature automatically determines the procedure to sort field values. Ip interprets the value of the field as IP addresses while Num simultaneously interprets the field values as numbers. The final ordering of field values using the lexicographic order is done by str.

An example for Splunk Command execution using the Dedup

This is an example of how the dedup is used. For example, a user wishes to categorize all events repeated occurrences number of times to exclude these repeats from alerts.

This is the goal to create seven events that are specific to order: 239, 773, -1, -1, 444 1. In this situation it is the case that users take the wrong path and execute the transaction command( …” ) orally, however, they should execute the dedup command more simply. This command can eliminate all duplicate events. In this instance it is a command that can eliminate duplicates in a cluster and , consequently.  Dedup codes with consecutive=true is used to get the right outcome.