Bulk loader scaling
    12.
    发明授权

    公开(公告)号:US12299496B1

    公开(公告)日:2025-05-13

    申请号:US17677904

    申请日:2022-02-22

    Abstract: Systems and methods are described for allocating computing resources to load data into a database. In some aspects, a database service obtains a request to load a number of data chunks. Responsive to the request, the database service scales a number of worker threads to load the data chunks. The scaling may include selecting a maximum number of worker threads to load (e.g., concurrently) the data chunks based on a number of data chunks, and assigning individual worker threads to load individual data chunks. The scaling may additionally include tracking a number of available worker threads relative to the maximum number of worker threads to reassign a first worker thread to load another data chunk upon the completing loading a prior data chunk, or assign a new worker thread that has become available based on a change in the maximum number of worker threads.

    GLOBAL COLUMN INDEXING IN A GRAPH DATABASE

    公开(公告)号:US20230127055A1

    公开(公告)日:2023-04-27

    申请号:US18145839

    申请日:2022-12-22

    Abstract: Methods, systems, and computer-readable media for global column indexing in a graph database are disclosed. A plurality of data elements of a graph database are stored. The triples comprise identifiers, column names, and values. The column names are globally scoped in the graph database and are associated with data types. Indices corresponding to the column names are created. A particular one of the indices comprises one or more of the values associated with the corresponding column name. A query is performed on the graph database using one or more of the indices corresponding to one of more of the column names associated with the query.

    GLOBAL COLUMN INDEXING IN A GRAPH DATABASE

    公开(公告)号:US20210097048A1

    公开(公告)日:2021-04-01

    申请号:US17067487

    申请日:2020-10-09

    Abstract: Methods, systems, and computer-readable media for global column indexing in a graph database are disclosed. A plurality of data elements of a graph database are stored. The triples comprise identifiers, column names, and values. The column names are globally scoped in the graph database and are associated with data types. Indices corresponding to the column names are created. A particular one of the indices comprises one or more of the values associated with the corresponding column name. A query is performed on the graph database using one or more of the indices corresponding to one of more of the column names associated with the query.

    Query language interoperability in a graph database

    公开(公告)号:US10963512B2

    公开(公告)日:2021-03-30

    申请号:US15411596

    申请日:2017-01-20

    Abstract: Methods, systems, and computer-readable media for query language interoperability in a graph database are disclosed. Data elements are inserted into a graph database using one or more of a plurality of graph database query languages. The graph database query languages comprise a first graph database query language associated with a first data model and a second graph database query language associated with a second data model. The data elements are stored in the graph database using an internal data model that differs from the first and second data models. One or more of the data elements are retrieved from the graph database based at least in part on a query. The query is expressed using a different graph database query language than the graph database query language used to insert the one or more retrieved data elements.

    QUERY LANGUAGE INTEROPERABILITY IN A GRAPH DATABASE

    公开(公告)号:US20180210966A1

    公开(公告)日:2018-07-26

    申请号:US15411596

    申请日:2017-01-20

    CPC classification number: G06F16/9024 G06F16/2452 G06F16/24542 G06F16/90335

    Abstract: Methods, systems, and computer-readable media for query language interoperability in a graph database are disclosed. Data elements are inserted into a graph database using one or more of a plurality of graph database query languages. The graph database query languages comprise a first graph database query language associated with a first data model and a second graph database query language associated with a second data model. The data elements are stored in the graph database using an internal data model that differs from the first and second data models. One or more of the data elements are retrieved from the graph database based at least in part on a query. The query is expressed using a different graph database query language than the graph database query language used to insert the one or more retrieved data elements.

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