![]() Still, some of the critical tasks need to be done by the Splunk Command users frequently. Typehead: This Helps in returning heading information with some specified prefix.Metadata : Helping on returning all the data like sourcing list, sourcing type, entire indexing details with host information.Eventcount : Helping on returning event numbers for one define index on the data set.Dbinspect : Helping for returning information of some specific index which can be utilized later.Data model: This command is used for providing some information regarding the model object or specific data model.Audit: Helps for returning all the audit trail information, which can be stored easily in one of the indexes, which define locally as an audit index.Some of those kinds of requiring intermediate commands are mentioned below: ![]() There are several other popular Splunk commands which have been used by the developer who is not very basic but working with Splunk more those Splunk commands are very much required to execute. Transaction: This statement helps for the proper grouping of specific search result into a conditional transaction.Stats: The statement helps for providing some statistical value or some of the grouped value, which is available optionally by specific fields.Set: It Helps for performing some kind of set performance like intersect, minus kind of activity on the sub-search result.Selfjoin: This command is used for joining some of the outcome result themselves.Lookup : This helps for invoking some field values explicitly by using lookups.Join: It Helps for preparing a combination between two results, one is the main result, and another one is one of the pipeline searchings of the main result.Diff: This Splunk command helps in returning proper difference between key searching results done by the product.Correlate: Calculating or identifying some of the correlation of two available fields.Cable, countable, contingency : Helping for building some of the key contingency tables between two fields.Associate: Helping for specifically identifying a proper correlation between two fields.Arules: Helping for finding some of the defined rules of association which are applicable for expected field values.Appendpipe: Helping for appending some of the results came from sub-pipeline which basically applied on the available current result with a specific available current result set.Appendcols: It is doing the same thing like above the only extra utility is given that the first searching result will always come first, the second searching result will come second and so on.Append: Using for appending some of the results which came from searching with the currently available result.Web development, programming languages, Software testing & others Start Your Free Software Development Course
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