TECHNIQUES OF HETEROGENEOUS HARDWARE EXECUTION FOR SQL ANALYTIC QUERIES FOR HIGH VOLUME DATA PROCESSING

    公开(公告)号:US20210073226A1

    公开(公告)日:2021-03-11

    申请号:US17015580

    申请日:2020-09-09

    Abstract: The present invention relates to optimized access of a database. Herein are techniques to accelerate execution of any combination of ad hoc query, heterogenous hardware, and fluctuating workload. In an embodiment, a computer receives a data access request for data tuples and compiles the data access request into relational operators. A particular implementation of a particular relational operator is dynamically selected from multiple interchangeable implementations. Each interchangeable implementation contains respective physical operators. A particular hardware operator for a particular physical operator is selected from multiple interchangeable hardware operators that include: a first hardware operator that executes on first processing hardware, and a second hardware operator that executes on second processing hardware that is functionally different from the first processing hardware. A response to the data access request is generated based on: the data tuples, the particular implementation of the particular relational operator, and the particular hardware operator.

    RESILIENCE BASED DATABASE PLACEMENT IN CLUSTERED ENVIRONMENT

    公开(公告)号:US20220382721A1

    公开(公告)日:2022-12-01

    申请号:US17334360

    申请日:2021-05-28

    Abstract: Herein are resource-constrained techniques that plan ahead for resiliently moving pluggable databases between container databases after a failure in a high-availability database cluster. In an embodiment, a computer identifies many alternative placements that respectively assign each pluggable database to a respective container database. For each alternative placement, a respective resilience score is calculated for each pluggable database that is based on the container database of the pluggable database. Based on the resilience scores of the pluggable databases for the alternative placements, a particular placement is selected as an optimal placement that would maximize utilization of computer resources, minimize database latencies, maximize system throughput, and maximize the ability of the database cluster to avoid a service outage.

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