公开(公告)号：US20250013624A1

公开(公告)日：2025-01-09

申请号：US18897249

申请日：2024-09-26

Applicant: Snowflake Inc.

Inventor： Tyler Arthur Akidau ,  Istvan Cseri ,  Tyler Jones ,  Daniel E. Sotolongo

IPC: G06F16/22 ,  G06F16/23 ,  G06F16/2455

Abstract: A system or persistent table may be generated storing changelog information of a primary base table. The system table may then be used to create streams of relevant information. In some examples, the streams may read from the system table for information past a retention period of the primary table while reading from the primary table information in the retention period.

公开(公告)号：US20240386010A1

公开(公告)日：2024-11-21

申请号：US18426772

申请日：2024-01-30

Applicant: Snowflake Inc.

Inventor： Abdullah Al Mahmood ,  Tyler Jones ,  Xin Huang ,  Ganeshan Ramachandran Iyer ,  Jiaxing Liang ,  Daniel Mills ,  Subramanian Muralidhar ,  Daniel E. Sotolongo

IPC: G06F16/23 ,  G06F11/14 ,  G06F16/22

Abstract: Techniques for creating and using error tables to track errors associated with a base table are described. A command to perform an operation on a base table stored in a network-based data system can be received and executed, causing at least one error. At least one error record corresponding to the at least one error can be inputted into an error table, which is nested with the base table. Contextual information can be added to the at least one error record.

公开(公告)号：US11762855B1

公开(公告)日：2023-09-19

申请号：US17931590

申请日：2022-09-13

Applicant: Snowflake Inc.

Inventor： Tyler Arthur Akidau ,  Fabian Hueske ,  Tyler Jones ,  Daniel Mills ,  Leon Papke ,  Prasanna Rajaperumal ,  Daniel E. Sotolongo

IPC: G06F16/2453 ,  G06F7/14

CPC classification number: G06F16/24539 ,  G06F7/14 ,  G06F16/24542

Abstract: Provided herein are systems and methods for a database object (e.g., materialized table) configuration including using the database object for incremental maintenance of query results. For example, a method includes creating a materialized table using a table definition. The table definition includes a query on one or more base tables and a lag duration value. The lag duration value indicates a maximum time period that a result of a prior refresh of the query can lag behind a current time instance. A delta set for the one or more base tables is determined. The delta set includes at least one change applied to the one or more base tables since the prior refresh of the query. The delta set is merged with the materialized table to perform an incremental update of the materialized table.

公开(公告)号：US11620310B1

公开(公告)日：2023-04-04

申请号：US17657497

申请日：2022-03-31

Applicant: Snowflake Inc.

Inventor： Tyler Arthur Akidau ,  Istvan Cseri ,  Tyler Jones ,  Dinesh Chandrakant Kulkarni ,  Daniel Mills ,  Daniel E. Sotolongo ,  Di Fei Zhang

IPC: G06F16/00 ,  G06F16/27

Abstract: Techniques for triggering pipeline execution based on data change (transaction commit) are described. The pipelines can be used for data ingestion or other specified tasks. These tasks can be operational across account, organization, cloud region, and cloud provider boundaries. The tasks can be triggered by commit post-processing. Gates in the tasks can be set up to reference change data capture information. If the gate is satisfied, tasks can be executed to set up data pipelines.

公开(公告)号：US11514023B1

公开(公告)日：2022-11-29

申请号：US17650604

申请日：2022-02-10

Applicant: Snowflake Inc.

Inventor： Istvan Cseri ,  Tyler Jones ,  Daniel Mills ,  Daniel E. Sotolongo

IPC: G06F16/23 ,  G06F16/22 ,  G06F16/2455 ,  G06F16/27

Abstract: Provided herein are systems and methods for a stream object configuration, including configuring and processing streams on views. For example, a method includes configuring by at least one hardware processor at a first computing node, a view on a source table for shared access with at least a second computing node. The view includes a query associated with the source table. The query associated with the source table is executed to obtain a plurality of query results. A stream object is generated on the view. The stream object includes the plurality of query results of executing the query and a corresponding plurality of time stamps associated with times the plurality of query results are obtained. The generated stream object is configured for the shared access with at least the second computing node.

公开(公告)号：US20220245117A1

公开(公告)日：2022-08-04

申请号：US17648622

申请日：2022-01-21

Applicant: Snowflake Inc.

Inventor： Tyler Arthur Akidau ,  Istvan Cseri ,  Tyler Jones ,  Daniel E. Sotolongo

IPC: G06F16/22 ,  G06F16/23 ,  G06F16/2455

Abstract: A system or persistent table may be generated storing changelog information of a primary base table. The system table may then be used to create streams of relevant information. In some examples, the streams may read from the system table for information past a retention period of the primary table while reading from the primary table information in the retention period.

公开(公告)号：US12216638B2

公开(公告)日：2025-02-04

申请号：US18158627

申请日：2023-01-24

Applicant: Snowflake Inc.

Inventor： Tyler Arthur Akidau ,  Istvan Cseri ,  Fabian Hueske ,  Tyler Jones ,  Yevgeniy Kogan ,  Dzmitry Pauliukevich ,  Daniel E. Sotolongo

IPC: G06F16/23 ,  G06F16/22 ,  G06F16/2455

Abstract: Techniques described herein can accelerate change data capture determinations such as stream reads, which show changes made to a table between two points in time. Three distinct row bitests that mark deleted, updated, inserted, rows in micro-partitions can be added as metadata for the table. These bitsets can be generated during DML operations and then stored as metadata of the new partition generated by the DML operations. The bitsets can then be used to generate streams showing the changes in the table between two points in time (changes interval).

公开(公告)号：US12130795B2

公开(公告)日：2024-10-29

申请号：US18359322

申请日：2023-07-26

Applicant: Snowflake Inc.

Inventor： Tyler Arthur Akidau ,  Istvan Cseri ,  Tyler Jones ,  Daniel E. Sotolongo

IPC: G06F16/22 ,  G06F16/23 ,  G06F16/2455

CPC classification number: G06F16/2282 ,  G06F16/2358 ,  G06F16/24568

Abstract: A system or persistent table may be generated storing changelog information of a primary base table. The system table may then be used to create streams of relevant information. In some examples, the streams may read from the system table for information past a retention period of the primary table while reading from the primary table information in the retention period.

公开(公告)号：US11860850B2

公开(公告)日：2024-01-02

申请号：US18048912

申请日：2022-10-24

Applicant: Snowflake Inc.

Inventor： Istvan Cseri ,  Tyler Jones ,  Daniel Mills ,  Daniel E. Sotolongo

IPC: G06F16/23 ,  G06F16/2455 ,  G06F16/27 ,  G06F16/22

CPC classification number: G06F16/2358 ,  G06F16/2282 ,  G06F16/2456 ,  G06F16/24568 ,  G06F16/278

Abstract: Provided herein are systems and methods for a stream object configuration, including configuring and processing streams on views and streams on tables. For example, a method includes parsing, by at least one hardware processor, a received query to determine a plurality of data processing operations associated with a base table. A stream object on the base table is generated. The stream object includes a plurality of query results from executing the plurality of data processing operations and a corresponding plurality of time stamps of times the plurality of query results are obtained. A stream expansion of the stream object is performed. The stream expansion is based on computing changes to the base table from the plurality of data processing operations.

公开(公告)号：US20230092367A1

公开(公告)日：2023-03-23

申请号：US18048912

申请日：2022-10-24

Applicant: Snowflake Inc.

Inventor： Istvan Cseri ,  Tyler Jones ,  Daniel Mills ,  Daniel E. Sotolongo

IPC: G06F16/23 ,  G06F16/2455 ,  G06F16/27 ,  G06F16/22

Abstract: Provided herein are systems and methods for a stream object configuration, including configuring and processing streams on views and streams on tables. For example, a method includes parsing, by at least one hardware processor, a received query to determine a plurality of data processing operations associated with a base table. A stream object on the base table is generated. The stream object includes a plurality of query results from executing the plurality of data processing operations and a corresponding plurality of time stamps of times the plurality of query results are obtained. A stream expansion of the stream object is performed. The stream expansion is based on computing changes to the base table from the plurality of data processing operations.