PERFORMING IN-MEMORY COLUMNAR ANALYTIC QUERIES ON EXTERNALLY RESIDENT DATA

Patent №

US 11,675,761

Granted

2023-06-13

Filed 2018

Owner

ORACLE INTERNATIONAL CORPORATION

Lab

AI components

4

ml · kr · planning · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

16135748

Techniques herein use in-memory column vectors to process data that is external to a database management system (DBMS) and logically join the external data with data that is native to the DBMS. In an embodiment, a computer maintains a data dictionary for native data that is durably stored in an DBMS and external data that is not durably stored in the DBMS. From a client through a connection to the DBMS, the computer receives a query. The computer loads the external data into an in-memory column vector that resides in random access memory of the DBMS. Based on the query and the data dictionary, the DBMS executes a data join of the in-memory column vector with the native data. To the client through said connection, the computer returns results of the query based on the data join.

Machine learningKnowledge representationPlanningAI hardwareG06F 16/221G06F 16/219G06F 16/2237G06F 16/2455G06F 16/2456G06F 16/2471G06F 16/248G06F 16/256

AI classification

Planning1.00
AI hardware0.86
Machine learning0.56
Knowledge representation0.56
Natural language0.07
Evolutionary computation0.00
Vision0.00
Speech0.00

Ownership

ORACLE INTERNATIONAL CORPORATION

assignment · 469430381

Assignors

MACNICOL, ROGER DERMOT, HUA, XIA, HOLLOWAY, ALLISON, CHAVAN, SHASANK KISAN, KAMP, JESSE, LAHIRI, TIRTHANKAR

On an employer assignment, the assignors are typically the inventors.

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