Updated May 15, 2023
Introduction to Splunk Commands
Splunk is a popular software for some search, special monitoring, or performing analysis on some of the generated big data by using some of the interfaces defined in web style. Splunk Commands capture some of the indexes, correlate them with available real-time data, and hold them in one of the searchable repositories. Then from that repository, it helps to create specific analytic reports, graphs, user-dependent dashboards, specific alerts, and proper visualization.
There are many commands for Splunk, especially for searching, correlation, data or indexing related, specific field identification, etc.
Some of the basic commands are mentioned below:
- Append: Using for appending some of the results from searching with the currently available result.
- Appendcols: It does the same thing as above; the primary additional benefit is that the first search result will consistently appear first, the second searching result will come second, and so on.
- Appendpipe: Helping to append some of the results came from the sub-pipeline, which applied to the available current result with a specific available current set.
- Arules: Helping to find some of the defined rules of association applicable for expected field values.
- Associate: Helping to identify a proper correlation between two fields explicitly.
- Cable, countable, contingency: Helping build key contingency tables between two fields.
- Correlate: Calculating or identifying some of the correlation of two available fields.
- Diff: This Splunk command helps return the proper difference between key product search results.
- Join: It helps prepare a combination between two results, one is the main result, and the other is one of the pipeline searchings of the main result.
- Lookup: This helps to invoke some field values explicitly by using lookups.
- Selfjoin: Users utilize this command to join some of the outcome results together.
- Set: It helps perform set performances like intersect, minus activity on the sub-search result.
- Stats: The statement helps to provide some statistical value or some of the grouped value, which is available optionally by specific fields.
- Transaction: This statement helps properly group specific search results into a conditional transaction.
Several other popular Splunk commands have been used by the developer who is not very basic but working with Splunk more; those commands are required to execute.
Some of those kinds of requiring intermediate commands are mentioned below:
- Audit: Helps to return all the audit trail information, which can be stored easily in one of the indexes defined locally as an audit index.
- Data model: The command is used to retrieve information about the model object or a specific data model.
- Dbinspect: Helping to return information of some specific index that can be utilized later.
- Eventcount: Helping with returning event numbers for one defined index on the data set.
- Metadata: Helping with returning all the data like sourcing list, sourcing type, and indexing details with host information.
- Typehead: This Helps in returning heading information with some specified prefix.
Splunk Command users frequently need to perform some of critical tasks.
Managerial personnel primarily utilize advanced commands to execute those tasks. These commands aid in identifying geographical locations within reports, generating necessary metrics, identifying predictions or trends, and facilitating the creation of comprehensive reports.
That advanced kind of command is below:
- Iplocation: Helping for gathering information regarding provided IP address, information like country, state, city, longitude, latitude, and other critical details of the IP.
- Geom: It helps to give some external lookups with possible geographic locations by using this Splunk command. It holds a lot of geographic information in JSON format to be utilized externally and efficiently.
- Geomfilter: It is mainly helpful for pointing out one specific box of one big geographical map; it filters out those pointed outside that specific design box.
- Geostats: Splunk Commands help generate statistical views that can be organized into clusters based on specific geographical bins. Rendering these views on a world map allows for visualization.
- Mcollect: Converting some of the key events into some critical metrics data points and insert those identified data points into the search head metric index.
- Meventcollect: It again converts indexes in specific metric data points to store the same defined index tier.
- Mstats: This help with specific calculation to define statistics ready with proper visualization. It mainly helps to generate some measurement, dimension, or metrics with order names that define metric indexes.
- Predict: Helping to predict some future value of key fields based on an algorithm defined in time series.
- Trendline: Computing of moving specific field’s average.
- X11: Identifying or enabling some of the specific defined data trends by removing some of the key patterns on seasonal.
Tips and Tricks to Use Splunk Commands
Some typical users who frequently use Splunk Command products typically use some tips and tricks for utilizing Splunk commands output properly. Those kinds of tricks naturally solve some user-specific queries and display screening output for understanding the same correctly. Some of the very commonly used essential tricks are:
- One key requirement for any search optimization of speed is Splunk Commands. Specifying or narrowing the time window can help pull data from the disk limiting with some selected time range. Two approaches are already available in Splunk; one, people can define the time range of the search, and possible to modify the specified timeline by time modifier.
- Searching optimization also depends on the type of data, the source of that specific data, and how those data are organized. Accordingly, Splunk Command developers can introduce indexing and plan for fetching data smoothly.
Conclusion – Splunk Commands
Splunk is one of the key reporting products currently available in the current industry for searching, identifying, and reporting with average or big data appropriately. Splunk can be used frequently for generating some analytics reports, and it has various commands that can be adequately utilized in case of presenting user-satisfying visualization.
This has been a guide to Splunk Commands. Here we have discussed basic, intermediate, and advanced commands, along with some tips and tricks to use. You may also look at the following articles to learn more –