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Pluggable architecture for embedding analytics in clustered in-memory databases

a clustering and database technology, applied in the field of inmemory databases, can solve the problems of extreme difficulty in bringing together all records relevant to a single entity, and achieve the effect of convenient installation and embedding

Inactive Publication Date: 2017-08-03
QBASE LLC
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Benefits of technology

The patent describes a system for using an in-memory database in a distributed-computing system. It includes various components such as a search manager, an analytics agent, and a partitioner. The system has a pluggable architecture that allows for easy addition of new components without interrupting the system's operation. The system also allows for the development of custom analytics modules that can be used with the in-memory database without needing to retrieve data from the database first. The system also provides interfaces for communication with external analytics modules that can be seamlessly integrated with the in-memory database. The data is validated to ensure the new modules meet expectations. The technical effects of the patent text are improved performance and flexibility in using an in-memory database for data analysis and customization.

Problems solved by technology

This makes it extremely challenging to bring together all of the records relevant to a single entity.

Method used

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  • Pluggable architecture for embedding analytics in clustered in-memory databases
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  • Pluggable architecture for embedding analytics in clustered in-memory databases

Examples

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Embodiment Construction

[0040]The present disclosure is here described in detail with reference to embodiments illustrated in the drawings, which form a part here. Other embodiments may be used and / or other changes may be made without departing from the spirit or scope of the present disclosure. The illustrative embodiments described in the detailed description are not meant to be limiting of the subject matter presented here.

[0041]Reference will now be made to the exemplary embodiments illustrated in the drawings, and specific language will be used here to describe the same. It will nevertheless be understood that no limitation of the scope of the invention is thereby intended. Alterations and further modifications of the inventive features illustrated here, and additional applications of the principles of the inventions as illustrated here, which would occur to one skilled in the relevant art and having possession of this disclosure, are to be considered within the scope of the invention.

[0042]An in-memo...

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Abstract

Disclosed are pluggable, distributed computing-system architectures allowing for embedding analytics to be added or removed from nodes of a system hosting an in-memory database. The disclosed system includes an API that may be used to create customized, application specific analytics modules. The newly created analytics modules may be easily plugged into the in-memory database. Each user query submitted to the in-memory database may specify different analytics be applied with differing parameters. All analytics modules operate on the in-memory image of the data, inside the in-memory database platform. All the analytics modules, may be capable of performing on-the-fly analytics, which may allow a dynamic and comprehensive processing of search results.

Description

CROSS-REFERENCE TO RELATED APPLICATIONS[0001]This patent application is a continuation of U.S. patent application Ser. No. 14 / 558,055, filed on Dec. 2, 2014 and titled “Pluggable Architecture For Embedding Analytics In Clustered In-Memory Databases,” which claims a benefit of U.S. Patent Application 61 / 910,864, filed Dec. 2, 2013 and titled “Pluggable Architecture For Embedding Analytics In Clustered In-Memory Databases,” each of which is hereby fully incorporated by reference herein for all purposes.[0002]This application is related to U.S. patent application Ser. No. 14 / 557,794, filed on Dec. 2, 2014 and titled “Method for Disambiguating Features in Unstructured Text”; U.S. patent application Ser. No. 14 / 558,300, filed on filed Dec. 2, 2014 and titled “Event Detection Through Text Analysis Using Trained Event Template Models”; U.S. patent application Ser. No. 14 / 557,807, filed on Dec. 2, 2014 and titled “Method for Facet Searching and Search Suggestions”; U.S. patent application S...

Claims

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Application Information

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IPC IPC(8): G06F17/30
CPCG06F17/30545G06F17/30371G06F17/30867G06F11/3055G06F2201/80G06F16/2471G06F16/903G06F16/2365G06F16/9535G06F16/9538G06F16/9035G06F11/3409
Inventor LIGHTNER, SCOTTWECKESSER, FRANZ
Owner QBASE LLC