Invention Grant
- Patent Title: Performing in-memory columnar analytic queries on externally resident data
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Application No.: US16135748Application Date: 2018-09-19
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Publication No.: US11675761B2Publication Date: 2023-06-13
- Inventor: Roger Dermot Macnicol , Xia Hua , Allison Holloway , Shasank Kisan Chavan , Jesse Kamp , Maria Colgan , Tirthankar Lahiri
- Applicant: Oracle International Corporation
- Applicant Address: US CA Redwood Shores
- Assignee: Oracle International Corporation
- Current Assignee: Oracle International Corporation
- Current Assignee Address: US CA Redwood Shores
- Agency: Hickman Becker Bingham Ledesma LLP
- Agent Brian N. Miller
- Main IPC: G06F16/22
- IPC: G06F16/22 ; G06F16/2458 ; G06F16/2455 ; G06F16/25 ; G06F16/21 ; G06F16/248

Abstract:
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.
Public/Granted literature
- US20190102412A1 PERFORMING IN-MEMORY COLUMNAR ANALYTIC QUERIES ON EXTERNALLY RESIDENT DATA Public/Granted day:2019-04-04
Information query