Closure Merge Conflict Detection via Ancestor Comparison
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Solution Overview
Problem
In parallel development cycles, maintaining data consistency across multiple developer changes is challenging, leading to potential data corruption due to concurrent modifications and synchronization issues between different file fragments.
Innovation Solution
A method for performing a merge operation on a closure of files, which involves identifying a source closure, a target file set, and a previously merged closure, loading them into a merge session, and determining conflicts based on comparisons to ancestor files, ensuring all changes are processed as an atomic unit to maintain synchronization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If multiple developers work on the same data in parallel, then productivity increases, but data consistency deteriorates leading to potential data corruption
Solution Approach 1:
The system performs preliminary actions by identifying all files in the closure and their dependencies before the merge operation begins. It loads the source closure, target file set, and ancestor files into a merge session in advance, preparing the complete context needed for conflict detection and resolution before actual merging occurs.
Solution Approach 2:
The patent introduces an intermediary merge session that acts as a mediator between the source closure and target file set. This intermediate structure holds all files in a controlled environment where conflicts can be detected and resolved before final integration, preventing direct corruption of the target data.
2Speed
If files are merged incrementally, then merge speed increases, but data integrity deteriorates due to synchronization issues between file fragments
Solution Approach 1:
The patent merges all files from the source closure, target file set, and ancestor files into a single unified merge session simultaneously. This combined approach ensures that all file fragments are processed together as an atomic unit, maintaining synchronization and preventing partial or inconsistent merges that would compromise data integrity.
Solution Approach 2:
The system maintains continuous control over the entire merge process by keeping all files in the merge session throughout the operation. The merge session preserves the complete context and relationships between files from start to finish, ensuring uninterrupted and consistent processing that prevents synchronization issues.
3Ease of operation
If conflict detection is performed after merging, then merge simplicity increases, but data corruption risk increases due to undetected conflicts
Solution Approach 1:
The system performs conflict detection preliminarily during the merge session before finalizing the merge operation. By comparing files in the merge session against ancestor files and identifying conflicts upfront, the system ensures that no conflicts are overlooked while maintaining a streamlined process where conflicts are resolved as part of the normal merge workflow.
Data Source
AI summary
In a method for data management, one or more processors identifying a source closure, a target file set, and a previously merged closure, wherein the source closure is a closure of files that includes changed files to merge into the target file set, and wherein the previously merged closure is a closure of files previously merged into the target file set. The method further includes one or more processors loading the identified source closure, the previously merged closure, and a closure of ancestor files shared by the identified source closure and the previously merged closure into a merge session. The method further includes one or more processors determining one or more file merge conflicts in the merge session based on differences between a comparison of the identified source closure to the closure of ancestor files and a comparison of the previously merged closure to the closure of ancestor files.