핵심 개념
The author presents a novel approach to creating a persistent trigram index for efficient full-text and keyword pattern searches in code repositories, focusing on quick startup times and enhanced performance during version changes.
초록
The content discusses the development of a persistent trigram index for code repositories to improve search efficiency. It highlights the challenges of rebuilding indexes from scratch with new versions and proposes a method that only applies changes between versions, enhancing performance. The approach also extends to support CamelHump search for class and function names, aiming for zero-time startup, improved code review, and streamlined navigation through history. The article details the design of the approach, experiments conducted on open-source repositories, and the benefits of utilizing this innovative solution.
통계
One common way to speed up the find operation within a set of text files involves a trigram index.
Upon checking out a new version, this index is typically built from scratch.
Our approach stores indices for all commits stored in a specific format.
For example, after initialization for a repository with roughly 3,000 commits, the average processing time per commit is around 40ms.
The time spent on requests in our data structure is fast.
The time of checkout and building the trigram index from scratch for the given revision exceeded 70 seconds.
The most popular request takes 0.63 milliseconds.
The time spent on requests of all the trigrams in this symbol in the CamelHump index is 9.76 milliseconds.
인용구
"Our goal is to make this as efficiently as possible."
"Having this feature allows the developer to just click once on a chosen commit to obtain a fully-functional IDE."
"The proposed persistent trigram index enables support for various features in code review."