Nasdaq, Inc.
DYNAMICALLY SELECTING AMONG LEARNED AND NON-LEARNED INDEXES FOR DATA ACCESS

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Abstract:

The described technology relates to systems and techniques for accessing a database by dynamically choosing an index from a plurality of indexes that includes at least one learned index and at least one non-learned index. The availability of learned and non-learned indexes for accessing the same database provides for flexibility in accessing the database, and the dynamic selection between learned indexes and non-learned indexes provide for choosing the index based on the underlying data in the database and the characteristics of the query. Certain example embodiments provide a learned model that accepts a set of features associated with the query as input, and outputs a set of evaluated weights for respective features, which are then processed according to a set of rules to predict the most efficient index to be used.

Status:
Application
Type:

Utility

Filling date:

25 Apr 2022

Issue date:

4 Aug 2022