公开(公告)号：US20240427767A1

公开(公告)日：2024-12-26

申请号：US18749372

申请日：2024-06-20

Applicant: MongoDB, Inc.

Inventor： Pawel Terlecki ,  Martin Neupauer ,  Svilen Mihaylov ,  Anton Korshunov ,  Ian Boros ,  Timour Katchaounov ,  David Lenox Storch

IPC: G06F16/2453

Abstract: Described herein embodiments of a query processing system. The query processing system optimizes execution by generating an optimized slot-based execution (SBE) plan for executing the query. The query processing system optimizes query execution by generating a logical representation of the query, optimizing the logical representation of the query, and translating the optimized logical representation of the query into an SBE plan. The query processing system then executes the SBE plan to generate the query results.

公开(公告)号：US20240427766A1

公开(公告)日：2024-12-26

申请号：US18749350

申请日：2024-06-20

Applicant: MongoDB, Inc.

Inventor： Pawel Terlecki ,  Martin Neupauer ,  Svilen Mihaylov ,  Anton Korshunov ,  Ian Boros ,  Timour Katchaounov ,  David Lenox Storch

IPC: G06F16/2453

Abstract: Described herein embodiments of a query processing system. The query processing system optimizes execution by generating an optimized slot-based execution (SBE) plan for executing the query. The query processing system optimizes query execution by generating a logical representation of the query, optimizing the logical representation of the query, and translating the optimized logical representation of the query into an SBE plan. The query processing system then executes the SBE plan to generate the query results.

公开(公告)号：US20230394017A1

公开(公告)日：2023-12-07

申请号：US18329106

申请日：2023-06-05

Applicant: MongoDB, Inc.

Inventor： Pawel Terlecki ,  Mathias Benjamin Stearn ,  Martin Neupauer ,  Charles William Swanson ,  Ian Boros

IPC: G06F16/22

CPC classification number: G06F16/221

Abstract: A database system comprising a database having a dynamic schema and at least one processor configured to: generate at least one column store index associated with the database, at least by: extracting keys from at least one document in the database, and sorting the keys; store the at least one column store index at least by storing the keys in the database; and access the at least one column store index based on at least one access request.