When examining a large number of records, one can avoid using the Splunk Dedup command at the _raw field. On the contrary, the dedup command is quite flexible in contrast to the uniq command it can be map-decreased, clipped to a specified length by default of one, and applied to n ranges of fields at the same rate of time. To utilize the Uniq command, one must restore the activities because it will not accept any seek result that contains an exact duplicate. You can clarify a number of fields in dedup instructions, and you also have options like consecutive, where the dedup command excludes activities that have replica combinations of values that are continual in essence, or keep empty, where it retains activities that no longer have the exact mandatory fields. Dedup, however, gives the best instructions in the most frequently observed fields. If the entire row or the event is identical, the primary function of uniq instructions is to eliminate duplicate records. These options are available in Splunk Dedup.Įxplore Curriculum Differentiation between Uniq and Splunk Dedup Commands Users have the option of maintaining activities with duplicate fields removed or maintaining activities when the necessary fields are no longer present. The fields that enable you to get readability on which activities are being kept can be appropriately typed. The user can only define the number of activities with duplicate values, or price combinations, to keep with the assistance of Splunk Dedup. When conducting real-time searches, the most popular activities are those that are looked for, not necessarily the most recent activities that occurred. The activities reversed with the assistance of using Splunk Dedup are solely based on seeking order for older searches, the most recent events are looked up first. The user can define the numbers of duplicates with regard to activities to retain for every price of a single field or for combinations of every price across several fields by using the Splunk Dedup command. You also have the choice to keep events if the required fields are omitted or to keep events with the duplicate fields deleted.īecome a Splunk Certified professional by learning this HKR Splunk Training ! The Functionality of Splunk Dedup The fields can be sorted to choose which occurrence is kept. The frequency of occurrences with duplicate values or value collections that should be kept can be specified. The most recent developments are examined first when conducting past searches. Dedup's events return is dependent on search order. I wouldn't worry about the number of records scanned, if they both got identical results, but I'd make sure the time frames and output results were identical before assuming the code was working apples-to-apples.You can indicate the number of duplicate occurrences to keep with the help of the dedup command for every value in a specific field as well as for any collection of values across multiple fields. Check the results against each other and make sure they came out identical. (50k?)įootnote 2 - use at the end of your earliest and latest to make sure the two timelines are exactly the same. It is a transforming command which has a natural limit on how many results it will allow. Then do whatever makes sense.įootnote: Be careful of table. For overall throughput, slightly more CPU time but all of it on the indexers is far better than slightly less CPU time all on the search head. They are close enough in overall performance that you can go either way and no one will say "Boo" bout it.Ĭheck the details of the run and see how much of that time is on the indexers and how much on the search head. So, given your results, it looks like the results are in alignment with my expectations - dedup is slightly less efficient, as expected, but only slightly so.
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