Server-side cross-model measure-based filtering

    公开(公告)号:US11093504B2

    公开(公告)日:2021-08-17

    申请号:US16700434

    申请日:2019-12-02

    Abstract: Some embodiments provide execution of a query on a target data model which is filtered on a measure of a source data model, even if the source data model and the target data model are not logically linked. Some embodiments further support execution of a query on a target data model which is filtered on a measure of a source data model and on a dimension filter of another data model. Some embodiments provide for a substantial amount of query execution to occur on the backend, thereby freeing client resources in comparison to prior approaches.

    SERVER-SIDE CROSS-MODEL FILTERING

    公开(公告)号:US20210073230A1

    公开(公告)日:2021-03-11

    申请号:US16563200

    申请日:2019-09-06

    Abstract: A system includes reception of a filter on a first dimension of a first data model, determination of an association between a second dimension of the first data model and a first dimension of a second data model, generation of a calculated dimension based on the second dimension, the rows of the calculated dimension being identical to the rows of the first dimension, application of the filter to the rows of the calculated dimension to generate filtered rows of the calculated dimension, execution of an inner join between the filtered rows of the calculated dimension and a fact table of the second data model to generate a result table including one or more measure values of the second data model, and generation of a visualization including the result table.

    Microcubes
    4.
    发明授权

    公开(公告)号:US10803065B1

    公开(公告)日:2020-10-13

    申请号:US16569091

    申请日:2019-09-12

    Abstract: A system includes determination of a plurality of queries, each of the plurality of queries indicating a first object as a data source, generation of a first query on the first object based on a first two or more of the plurality of queries, modification of each of the first two or more queries to indicate the first query as the data source, requesting of execution of the first query and the modified first two or more queries, and reception of a result set associated with each of the first two or more queries.

    Managing query models based on shared objects

    公开(公告)号:US12130828B2

    公开(公告)日:2024-10-29

    申请号:US17529006

    申请日:2021-11-17

    CPC classification number: G06F16/248 G06F16/242 G06F16/258 G06F16/26

    Abstract: Some embodiments provide a program that generates a first query for a first visualization based on a first query model associated with the first visualization. The first query model includes a first reference to a shared object. The program further sends the first query to a computing system. The program also receives from the computing system a first set of data. The program further generates the first visualization based on the first set of data. The program also generates a second query for a second visualization based on a second query model associated with the second visualization. The second query model includes a second reference to the shared object. The program further sends the second query to the computing system. The program also receives from the computing system a second set of data. The program further generates the second visualization based on the second set of data.

    MANAGING QUERY MODELS BASED ON SHARED OBJECTS

    公开(公告)号:US20230062012A1

    公开(公告)日:2023-03-02

    申请号:US17529006

    申请日:2021-11-17

    Abstract: Some embodiments provide a program that generates a first query for a first visualization based on a first query model associated with the first visualization. The first query model includes a first reference to a shared object. The program further sends the first query to a computing system. The program also receives from the computing system a first set of data. The program further generates the first visualization based on the first set of data. The program also generates a second query for a second visualization based on a second query model associated with the second visualization. The second query model includes a second reference to the shared object. The program further sends the second query to the computing system. The program also receives from the computing system a second set of data. The program further generates the second visualization based on the second set of data.

    Server-side cross-model filtering

    公开(公告)号:US11200236B2

    公开(公告)日:2021-12-14

    申请号:US16563200

    申请日:2019-09-06

    Abstract: A system includes reception of a filter on a first dimension of a first data model, determination of an association between a second dimension of the first data model and a first dimension of a second data model, generation of a calculated dimension based on the second dimension, the rows of the calculated dimension being identical to the rows of the first dimension, application of the filter to the rows of the calculated dimension to generate filtered rows of the calculated dimension, execution of an inner join between the filtered rows of the calculated dimension and a fact table of the second data model to generate a result table including one or more measure values of the second data model, and generation of a visualization including the result table.

    PERSISTED QUERIES AND BATCH STREAMING

    公开(公告)号:US20210081451A1

    公开(公告)日:2021-03-18

    申请号:US16569040

    申请日:2019-09-12

    Abstract: A system includes reception of a user request for a set of data visualizations, execution, in response to the user request, of a main thread to request metadata associated with the set of data visualizations from a remote system, execution of a worker thread to request a set of persisted queries associated with the set of data visualizations from the remote system, to issue the set of persisted queries to the remote system, to receive query results associated with the set of persisted queries from the remote system, and to initiate storage of the query results in a local memory, and execution of the main thread to retrieve the query results stored in the local memory and render the set of data visualizations based on the retrieved query results.

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