Splunk® Enterprise

Capacity Planning Manual

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How indexed data affects Splunk Enterprise performance

After Splunk Enterprise consumes data and places it into indexes, those indexes grow and take up disk space. As the indexes grow and available disk space decreases, Splunk Enterprise takes more time to index incoming data because the indexer's disk subsystem takes more time to find space to store the data.

This growth has an impact on search, as well. On a single indexer, disk throughput splits between indexing, which is ongoing, and search requests, which are interrupts based on requests scheduled by users. As indexes grow, search slows down because the disk subsystem needs to account for search requests, and it also needs to handle increasingly longer requests to store incoming data. Depending on the type of search, those kinds of requests can be I/O-intensive.

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This documentation applies to the following versions of Splunk® Enterprise: 6.2.0, 6.2.1, 6.2.2, 6.2.3, 6.2.4, 6.2.5, 6.2.6, 6.2.7, 6.2.8, 6.2.9, 6.2.10, 6.2.11, 6.2.12, 6.2.13, 6.3.0, 6.3.1, 6.3.2, 6.3.3, 6.3.4, 6.3.5, 6.3.6, 6.3.7, 6.3.8, 6.3.9, 6.3.10, 6.3.11, 6.3.12, 6.4.0, 6.4.1, 6.4.2, 6.4.3, 6.4.4, 6.4.5, 6.4.6, 6.4.7, 6.4.8, 6.4.9, 6.5.0, 6.5.1, 6.5.1612 (Splunk Cloud only), 6.5.2, 6.5.3, 6.5.4, 6.5.5, 6.5.6, 6.6.0, 6.6.1, 6.6.2, 6.6.3, 6.6.4, 7.0.0


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