Step 4: You can choose to rename all fields parsed by the selected delimiter. Figure 3 – Regular expressions vs delimiter in Splunkįigure 4 – Delimiter in Splunk’s Field Extractor Step 3: If you have selected a delimiter to separate your fields, Splunk will automatically create a tabular view in order to allow you to see what all events properly parsed would look like compared to its _raw data pictured above. Delimiters are characters used to separate values such as commas, pipes, tabs, and colons. The image below demonstrates this feature of Splunk’s Field Extractor in the GUI, after selecting an event from the sample data.įigure 2 – Sample file in Splunk’s Field Extractor in the GUI Step 2: From here, you have two options: use a regular expression to separate patterns in your event data into fields, and the ability to separate fields by delimiter. After clicking, a sample of the file is presented for you to define from events the data. Step 1: Within the Search and Reporting App, users will see this button available upon search. How to Perform a Field Extraction įigure 1 – Extracting searchable fields via Splunk Web Pictured above is one of Splunk’s solutions to extracting searchable fields out of your data via Splunk Web. Field extractions allow you to organize your data in a way that lets you see the results you’re looking for. Field Extraction via the GUIįield extractions in Splunk are the function and result of extracting fields from your event data for both default and custom fields. This enables you to gain more insights from your data so you and other stakeholders can use it to make informed decisions about the business. What is a field extraction?Ī field extraction enables you to extract additional fields out of your data sources. This is where field extraction comes in handy. You may be wondering how to parse and perform advanced search commands using fields. If the data is not already separated into events, doing so may seem like an uphill battle. The large blocks of unseparated data that are produced when it’s ingested are hard to read and unable to be searched. After uploading a CSV, monitoring a log file, or forwarding data for indexing, more often than not, the data does not look the way you’d expect it to.
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