Source Code Indexing via Incremental Filtering and Segmentation
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Solution Overview
Problem
Source code management systems face challenges in providing effective search functionality due to the large number of repositories, documents/files, and frequent changes, making it difficult to efficiently manage and search through vast amounts of data.
Innovation Solution
The system synchronizes data between a source code management system and a search engine system, filtering and transforming content before indexing, and configuring content analyzers to enhance search efficiency, allowing for better search capabilities across multiple repositories and branches.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If source code management systems store and manage numerous repositories and documents across multiple users, then the system's data management capability is improved, but the difficulty of searching through vast amounts of data increases
Solution Approach 1:
The patent segments the large volume of source code data into individual files within repositories, and further segments the search process by creating separate indexes for different file types and metadata. This segmentation allows the search system to handle vast quantities of data more efficiently by processing and searching smaller, organized units rather than treating all data as a single mass.
Solution Approach 2:
The patent introduces an intermediary indexing system that sits between the source code management system and the search functionality. This intermediary layer pre-processes and structures the source code data into searchable indexes, acting as a mediator that transforms the raw data into a format optimized for searching, thereby reducing the difficulty of detecting and measuring information in large datasets.
2Productivity
If the system tracks and manages frequent changes to documents and files across multiple repositories, then the system's version control capability is improved, but the complexity of managing and searching changed content increases
Solution Approach 1:
The patent applies preliminary action by pre-indexing source code files and their metadata before changes occur, and by setting up incremental update mechanisms that prepare the search system for upcoming changes. When files are added, modified, or deleted in the source code management system, the indexing system is already prepared to efficiently capture and index these changes, reducing the complexity of managing frequent updates.
Solution Approach 2:
The patent implements periodic action through incremental indexing updates that occur at regular intervals or triggered by specific events (such as commit operations). Instead of re-indexing all data continuously, the system periodically updates only the changed portions of the index, maintaining version control efficiency while reducing the overall complexity of managing frequent changes across the repository.
3Ease of operation
If the system provides search functionality across large numbers of repositories and files, then the system's accessibility is improved, but the time required to process and return search results increases
Solution Approach 1:
The patent segments the search process into multiple stages: query parsing, index consultation, result filtering, and ranking. By dividing the search operation into these smaller segments, the system can process search requests more efficiently across large numbers of repositories, reducing the overall processing time while maintaining accessibility.
Solution Approach 2:
The patent applies preliminary action by pre-computing and storing metadata about source code files (such as file types, languages, authors, and commit information) in the indexing system before searches are performed. This pre-processing allows the search system to quickly filter and retrieve relevant results without having to analyze the actual file contents during the search operation, significantly reducing processing time while keeping search accessible to all users.
Data Source
AI summary
Method, system and computer readable storage medium for transmitting content from an SCM version of a repository maintained by an SCM system to a corresponding search engine (SE) version of the repository maintained by a search engine system. The method includes generating a content request, the content request comprising information defining a start state of the SCM version of the repository and a filter field; identifying one or more files in the SCM version of the repository that have changed between the start state and an end state; filtering the identified files based on the filter field in the content request to form a filtered set of files and a removed set of files; extracting content and metadata for one or more files from the filtered set of files; and transmitting the extracted content to the search system for storage as part of the search system version of the repository.