tsidx file contains records of the indexed field::value combos in the selected dataset and all of the index locations of those field::value combos. What is a high-performance analytics store?ĭata model acceleration summaries are composed of multiple time-series index files, which have the. In effect it accelerates the dataset represented by that collection of fields rather than a particular search against that dataset.
They do this by building collections of precomputed search result aggregates. Report acceleration and summary indexing speed up individual searches, on a report by report basis.This is how data model acceleration differs from report acceleration and summary indexing: How data model acceleration differs from report acceleration and summary indexing In addition, unlike "persistent" data model acceleration, ad hoc acceleration is not applied to reports or dashboard panels built with Pivot. These disadvantages do not apply to "persistently" accelerated datasets, which will always load with acceleration whenever they're accessed via Pivot. However, any acceleration benefits you obtain are lost the moment you leave the Pivot Editor or switch datasets during a session with the Pivot Editor. It is even applied to transaction-based datasets and search-based datasets that use transforming commands, which can't be accelerated in a persistent fashion.
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Splunk software applies ad hoc data model acceleration whenever you build a pivot with an unaccelerated dataset. This topic also explains ad hoc data model acceleration. Advanced configurations for persistently accelerated data models.How you can query accelerated data model acceleration summaries with the tstats command.How Splunk software builds data model acceleration summaries.How you enable persistent acceleration for data models.The differences between data model acceleration, report acceleration, and summary indexing.Like report acceleration summaries, data model acceleration summaries are easy to enable and disable, and are stored on your indexers parallel to the index buckets that contain the events that are being summarized. After acceleration, pivots based on accelerated data model datasets complete quicker than they did before, as do reports and dashboard panels that are based on those pivots.ĭata model acceleration does this with the help of the High Performance Analytics Store functionality, which builds data summaries behind the scenes in a manner similar to that of report acceleration. Data model acceleration is a tool that you can use to speed up data models that represent extremely large datasets.
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