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公开(公告)号:US20240419666A1
公开(公告)日:2024-12-19
申请号:US18336426
申请日:2023-06-16
Applicant: Snowflake Inc,
Inventor: Sangyong Hwang , Sourav Sikdar , Li Yan
IPC: G06F16/2453
Abstract: The subject technology receives a first query plan corresponding to a query, the first query plan comprising a set of join nodes, and a join order hint of a target query plan, each join node of the target query plan associated with a hint. The subject technology generates a second query plan to correct a set of vertical positions of a set of terminal nodes of the first query plan following the join order hint of the target query plan. The subject technology generates a third query plan to correct a set of lateral positions of the set of terminal nodes of the second query plan following the join order hint of the target query plan. The subject technology, for each join node from the set of join nodes of the third query plan, indicates that each join node has been hinted. The subject technology generates, after each join node of the third query plan has been indicated as being hinted, the target query plan based at least in part on the third query plan.
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公开(公告)号:US11687531B2
公开(公告)日:2023-06-27
申请号:US18051185
申请日:2022-10-31
Applicant: Snowflake Inc.
Inventor: Sangyong Hwang , Sourav Sikdar , Li Yan
IPC: G06F16/245 , G06F16/2453 , G06F16/2455 , G06F11/34
CPC classification number: G06F16/24542 , G06F11/3419 , G06F16/24549 , G06F16/24565 , G06F2201/80 , G06F2201/81
Abstract: The subject technology tracks a plurality of queries corresponding to a plurality of query plans based on join operations contained in each of the plurality of queries and a previous time of executing each query. The subject technology selects a first query plan among the plurality of query plans. The subject technology determines a value indicating an estimated improvement in execution time of the first query plan in comparison to a previous execution time of a previous query plan. The subject technology attempts to execute a first query using the first query plan. The subject technology determines that a second query plan selected among the plurality of query plans has a second estimated execution time that is less than an estimated execution time of the first query plan. The subject technology executes the first query corresponding to the first query plan at a subsequent time using the second query plan.
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公开(公告)号:US11544263B2
公开(公告)日:2023-01-03
申请号:US17657468
申请日:2022-03-31
Applicant: Snowflake Inc.
Inventor: Sangyong Hwang , Sourav Sikdar , Li Yan
IPC: G06F16/245 , G06F16/2453 , G06F11/34 , G06F16/2455
Abstract: The subject technology receives a first query plan corresponding to a first query, the first query plan comprising a new query plan different than a previous query plan for the first query. The subject technology determines a value indicating an estimated improvement in execution time of the first query plan in comparison to a previous execution time of the previous query plan. The subject technology, in response to determining that the value is greater than a threshold value, attempting to execute the first query using the first query plan, the attempting comprising determining that a second query plan selected among a plurality of query plans has a second estimated execution time that is less than an estimated execution time of the first query plan, and executing the first query at a subsequent time using the second query plan.
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公开(公告)号:US20220245148A1
公开(公告)日:2022-08-04
申请号:US17657468
申请日:2022-03-31
Applicant: Snowflake Inc.
Inventor: Sangyong Hwang , Sourav Sikdar , Li Yan
IPC: G06F16/2453 , G06F11/34 , G06F16/2455
Abstract: The subject technology receives a first query plan corresponding to a first query, the first query plan comprising a new query plan different than a previous query plan for the first query. The subject technology determines a value indicating an estimated improvement in execution time of the first query plan in comparison to a previous execution time of the previous query plan. The subject technology, in response to determining that the value is greater than a threshold value, attempting to execute the first query using the first query plan, the attempting comprising determining that a second query plan selected among a plurality of query plans has a second estimated execution time that is less than an estimated execution time of the first query plan, and executing the first query at a subsequent time using the second query plan.
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公开(公告)号:US11314740B1
公开(公告)日:2022-04-26
申请号:US17236471
申请日:2021-04-21
Applicant: Snowflake Inc.
Inventor: Sangyong Hwang , Sourav Sikdar , Li Yan
IPC: G06F16/245 , G06F16/2453 , G06F16/2455 , G06F11/34
Abstract: The subject technology receives a first query plan corresponding to a first query, the first query plan comprising a new query plan different than a previous query plan for the first query. The subject technology determines a value indicating an estimated improvement in execution time of the first query plan in comparison to a previous execution time of the previous query plan. The subject technology determines that the value is greater than a threshold value. The subject technology, in response to the value being greater than the threshold value, executes the first query using the first query plan.
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公开(公告)号:US20250045277A1
公开(公告)日:2025-02-06
申请号:US18656062
申请日:2024-05-06
Applicant: Snowflake Inc.
Inventor: Sangyong Hwang , Adem Khachnaoui , Li Yan , Yongsik Yoon
IPC: G06F16/2453 , G06F11/34 , G06F16/22
Abstract: A query engine can use partition-granular level statistics to optimize query performance. A query can reference a table with a plurality of partitions and include a predicate. A partition-granular selectivity estimate for the predicate can be generated based on statistics stored regarding the plurality of partitions of the table. A query plan can be generated based on partition-granular selectivity estimate to optimize query processing.
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公开(公告)号:US12026160B2
公开(公告)日:2024-07-02
申请号:US18300778
申请日:2023-04-14
Applicant: Snowflake Inc.
Inventor: Thierry Cruanes , Xuelai Cui , Sangyong Hwang , Allison Waingold Lee , Boyung Lee , Nicola Dan Onose , William Waddington , Jiaqi Yan , Li Yan , Yongsik Yoon
IPC: G06F16/2453
CPC classification number: G06F16/24542 , G06F16/24539
Abstract: The subject technology receives a query, the query including a set of statements for performing the query. The subject technology populates a compilation context based at least in part the query. The subject technology invokes a compiler to perform a compilation process based on the compilation context. The subject technology performs a lookup operation on a stored plan cache for an exact match based on information from the compilation context. The subject technology, in response to determining an exact match, determines whether the particular query plan requires re-compilation based on a data dependent optimization. The subject technology determines whether a plan cache entry corresponding to the particular query plan includes a data property constraint. The subject technology determines whether the data property constraint still holds based on a set of data properties.
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公开(公告)号:US12007994B1
公开(公告)日:2024-06-11
申请号:US18362369
申请日:2023-07-31
Applicant: Snowflake Inc.
Inventor: Sangyong Hwang , Adem Khachnaoui , Li Yan , Yongsik Yoon
IPC: G06F16/22 , G06F11/34 , G06F16/2453
CPC classification number: G06F16/24544 , G06F11/3452 , G06F16/2282
Abstract: A query engine can use partition-granular level statistics to optimize query performance. A query can reference a table with a plurality of partitions and include a predicate. A partition-granular selectivity estimate for the predicate can be generated based on statistics stored regarding the plurality of partitions of the table. A query plan can be generated based on partition-granular selectivity estimate to optimize query processing.
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公开(公告)号:US20230325386A1
公开(公告)日:2023-10-12
申请号:US18300778
申请日:2023-04-14
Applicant: Snowflake Inc.
Inventor: Thierry Cruanes , Xuelai Cui , Sangyong Hwang , Allison Waingold Lee , Boyung Lee , Nicola Dan Onose , William Waddington , Jiaqi Yan , Li Yan , Yongsik Yoon
IPC: G06F16/2453
CPC classification number: G06F16/24542 , G06F16/24539
Abstract: The subject technology receives a query, the query including a set of statements for performing the query. The subject technology populates a compilation context based at least in part the query. The subject technology invokes a compiler to perform a compilation process based on the compilation context. The subject technology performs a lookup operation on a stored plan cache for an exact match based on information from the compilation context. The subject technology, in response to determining an exact match, determines whether the particular query plan requires re-compilation based on a data dependent optimization. The subject technology determines whether a plan cache entry corresponding to the particular query plan includes a data property constraint. The subject technology determines whether the data property constraint still holds based on a set of data properties.
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公开(公告)号:US11645281B1
公开(公告)日:2023-05-09
申请号:US17823310
申请日:2022-08-30
Applicant: Snowflake Inc.
Inventor: Thierry Cruanes , Xuelai Cui , Sangyong Hwang , Allison Waingold Lee , Boyung Lee , Nicola Dan Onose , William Waddington , Jiaqi Yan , Li Yan , Yongsik Yoon
IPC: G06F16/2453
CPC classification number: G06F16/24542 , G06F16/24539
Abstract: The subject technology receives a query, the query including a set of statements for performing the query. The subject technology populates a compilation context based at least in part the query. The subject technology invokes a compiler to perform a compilation process based on the compilation context. The subject technology performs a lookup operation on a stored plan cache for an exact match based on information from the compilation context. The subject technology, in response to determining an exact match, determines whether the particular query plan requires re-compilation based on a data dependent optimization. The subject technology determines whether a plan cache entry corresponding to the particular query plan includes a data property constraint. The subject technology determines whether the data property constraint still holds based on a set of data properties.
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