Staging Dataset Edits for Concurrent Searchable Version Control
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Solution Overview
Problem
Existing database management systems face inefficiencies in editing datasets, particularly when multiple users edit the same dataset simultaneously, leading to resource consumption and potential adverse effects on dependent processes.
Innovation Solution
A database platform allows direct editing of data objects, creating user staging versions without altering the original, indexing these versions for searching, and maintaining separate queues for base and staging edits to ensure data consistency and reduce computational load.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If users directly edit datasets in the database, then editing speed is improved, but conflicts arise when multiple users edit the same dataset simultaneously
Solution Approach 1:
The patent segments the editing process into two distinct modes: direct editing for immediate updates and staging editing for preliminary changes. This segmentation allows different users to operate in different modes simultaneously, resolving the conflict between editing speed and data consistency. Direct editing maintains speed while staging editing protects consistency through isolation.
Solution Approach 2:
The patent introduces staging versions as an intermediary layer between the original dataset and user edits. This intermediary allows users to prepare changes without directly affecting the base dataset, thereby maintaining data consistency while enabling concurrent editing operations. The staging version acts as a buffer that mediates between conflicting edit requests.
2Reliability
If the retrieve-edit-write-back process is used, then data consistency is maintained, but resource consumption and time increase
Solution Approach 1:
The patent implements a dynamic editing system where the edit mode (direct or staging) can be selected based on operational needs. This dynamic approach allows the system to switch between the retrieve-edit-write-back process for consistency-critical operations and direct editing for efficiency-critical operations, optimizing both productivity and data consistency.
Solution Approach 2:
The patent enables preliminary editing actions through staging versions, where users can prepare and test edits before committing them to the base dataset. This preliminary action allows validation and review of changes without consuming the full resource overhead of the retrieve-edit-write-back process, improving overall editing efficiency.
3Loss of time
If staging edits are stored in user-specific memory space and indexed, then search efficiency is improved, but system complexity increases
Solution Approach 1:
The patent creates indexed copies of staging version data structures for efficient searching. Instead of scanning through all staging edits, the system maintains searchable indexes that replicate key metadata, allowing rapid retrieval without increasing the complexity of the core editing mechanism. This copying approach isolates the search optimization from the main system complexity.
Data Source
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AI summary
A method, performed by one or more processors, is disclosed comprising receiving, from a first user, a request to create a staging edit to a particular data object stored in a database, and creating a user staging version of the particular data object including the staging edit without editing the particular data object. The method may further comprise storing the staging edit in a memory space and indexing the user staging version in an index for enabling user searching and retrieval of the user staging version responsive to the first user requesting the particular data object.