Upstream from each processor is a queue for data to be processed. How Splunk indexes work? Troubleshooting Manual (Official Splunk documentation) Understanding General Splunk Topologies-- General Splunk Topologies and Roles(UF/LWF/HWF -> Intermediate Forwarders -> Indexer -> SH), and others; Understanding How Indexing Works-- Diagram of Splunk Pipelines and Processors for indexing events Summary indexing allows you to deal with large volumes of data in an efficient way by reducing the data volume into smaller subsets, working on those individually and … In Splunk’s doc or presentations, Input and Indexing stages are often explained as a topic of Getting Data In. Data in Splunk moves through the data pipeline in phases.

Troubleshooting your Splunk instance. Splunk processes data through pipelines. Splunk Inc. is an American public multinational corporation based in San Francisco, California, that produces software for searching, monitoring, and analyzing machine-generated big data via a Web-style interface. Input data originates from inputs such as files and network feeds. A pipeline is a thread, and each pipeline consists of multiple functions called processors.

As it moves through the pipeline, processors transform the data into searchable events that encapsulate knowledge.The following figure shows how input data traverses event-processing pipelines (which are the containers for processors) at index-time. index indexing. There is a queue between pipelines. ... Is the index data structure unique to Splunk? While it looks like an inverted index, I'm not sure if the name of the algorithm is mentioned in the docs. For example, we know the index data structure in RDBMS is B-tree.

What kinds of indexes does Splunk use, as compared to B+ tree or Hash index in RDBMS?

(Ref: \"Learn More\" doc in \"Indexing Performance\" vie…