An industrial-grade C++ implementation of RAFT consensus algorithm based on brpc, widely used inside Baidu to build highly-available distributed systems.
Role in this project:
Back-end Developer
Contributions:9 reviews, 1 commit, 18 PRs in 1 day
Contributions summary:Dongsheng primarily focused on improving code quality and addressing minor issues within the `braft` project. Their contributions include fixing typos in code comments, correcting grammatical errors, and simplifying existing code. They also made adjustments to improve the stability of the system, such as preventing RPC calls during channel initialization failures and validating parameters.
brpc is an Industrial-grade RPC framework using C++ Language, which is often used in high performance system such as Search, Storage, Machine learning, Advertisement, Recommendation etc. "brpc" means "better RPC".
Role in this project:
Back-end Developer
Contributions:10 reviews, 5 commits, 15 PRs in 9 months
Contributions summary:Dongsheng primarily contributed to fixing bugs and improving the brpc framework. Their work involved resolving a typo in `rpc_view`, addressing client-side retry policies in `input_messenger`, and updating the preferred index in `input_messenger`. Additionally, the user fixed code annotations in `flat_map` and addressed memory leaks in an example redis server handler. They also fixed issues related to thread naming and domain naming service.
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