Summary
The chapter combines two interesting topics: fields and lookups. We began with fields (or knowledge objects) and understood that they are the building blocks for search (SPL) and that they can be extracted out of raw data while presenting results to search requests issued by users during search time. The SH, on the fly, extracts fields/values based on the extraction’s settings pre-created by data admins on the SH. Splunk, by default, extracts fields from data formats such as KV pairs and JSON contents during search time. Then, we introduced lookup types and their purpose for data enrichment use cases.
Similarly, another approach is to define the fields through indexed extraction settings during data indexing time; they are called index-time fields/indexed fields. Fields created during indexing time are stored in a designated index permanently, so they consume additional storage space, and using them is a less preferred approach over using search-time fields. The reason...
