PROCESSING QUERIES ON SEMI-STRUCTURED DATA COLUMNS

    公开(公告)号:US20220207041A1

    公开(公告)日:2022-06-30

    申请号:US17655124

    申请日:2022-03-16

    Applicant: Snowflake Inc.

    Abstract: A source table organized into a set of batch units is accessed. The source table comprises a column of data corresponding to a semi-structured data type. One or more indexing transformations for an object in the column are generated. The generating of the one or more indexing transformation includes converting the object to one or more stored data types. A pruning index is generated for the source table based in part on the one or more indexing transformations. The pruning index comprises a set of filters that index distinct values in each column of the source table, and each filter corresponds to a batch unit in the set of batch units. The pruning index is stored in a database with an association with the source table.

    Pruning index to support semi-structured data types

    公开(公告)号:US11308090B2

    公开(公告)日:2022-04-19

    申请号:US17394149

    申请日:2021-08-04

    Applicant: Snowflake Inc.

    Abstract: A source table organized into a set of batch units is accessed. The source table comprises a column of data corresponding to a semi-structured data type. One or more indexing transformations for an object in the column are generated. The generating of the one or more indexing transformation includes converting the object to one or more stored data types. A pruning index is generated for the source table based in part on the one or more indexing transformations. The pruning index comprises a set of filters that index distinct values in each column of the source table, and each filter corresponds to a batch unit in the set of batch units. The pruning index is stored in a database with an association with the source table.

    PRUNING INDEX TO SUPPORT SEMI-STRUCTURED DATA TYPES

    公开(公告)号:US20210365461A1

    公开(公告)日:2021-11-25

    申请号:US17394149

    申请日:2021-08-04

    Applicant: Snowflake Inc.

    Abstract: A source table organized into a set of batch units is accessed. The source table comprises a column of data corresponding to a semi-structured data type. One or more indexing transformations for an object in the column are generated. The generating of the one or more indexing transformation includes converting the object to one or more stored data types. A pruning index is generated for the source table based in part on the one or more indexing transformations. The pruning index comprises a set of filters that index distinct values in each column of the source table, and each filter corresponds to a batch unit in the set of batch units. The pruning index is stored in a database with an association with the source table.

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