Elastic has been granted a patent for systems and methods that process structured queries over clusters. The technology involves a search engine system with multiple clusters, optimizing queries, and combining local and remote results to provide an aggregated result to clients efficiently. GlobalData’s report on Elastic gives a 360-degree view of the company including its patenting strategy. Buy the report here.

According to GlobalData’s company profile on Elastic, was a key innovation area identified from patents. Elastic's grant share as of February 2024 was 56%. Grant share is based on the ratio of number of grants to total number of patents.

Search engine system for processing structured queries over clusters

Source: United States Patent and Trademark Office (USPTO). Credit: Elastic NV

A recently granted patent (Publication Number: US11914592B2) discloses a search engine system comprising multiple clusters designed to process structured query language (SQL) queries efficiently. The system involves a local cluster receiving SQL queries from clients, determining remote clusters to process these queries, optimizing local and remote queries, executing them, combining results, and returning an aggregated result to the client. The optimization process includes replacing field search operators with field exist operators and evaluating nulls in conditional expressions. Additionally, the system can handle clusters located in different geographical regions, adjusting query execution based on latency comparisons between local and remote clusters.

Furthermore, the patent details a method for processing structured queries over clusters, involving parsing SQL queries into tree structures, generating logical and optimized plans, and executing physical plans using local and remote search engines. The method also includes identifying clusters through namespace entries, optimizing queries based on latency considerations, and performing internal evaluations of nulls in conditional expressions. The system aims to enhance search engine efficiency by streamlining query processing across multiple clusters, ultimately providing users with faster and more accurate search results.

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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.