PERFORMING IN-MEMORY COLUMNAR ANALYTIC QUERIES ON EXTERNALLY RESIDENT DATA

    公开(公告)号:US20190102412A1

    公开(公告)日:2019-04-04

    申请号:US16135748

    申请日:2018-09-19

    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.

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