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Home / Pages / About About September 20, 2018 Hi, I’m lichuang, also known as codedump (not “coredump”). I picked the name because I like digging into how code works under the hood — dumping its internals, so to speak.
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Mini-Arrow: A Minimal Arrow Rust Implementation
This article introduces the mini-arrow project, a minimal Apache Arrow implementation written in Rust. With just 1600 lines of Rust code, it demonstrates the design and solutions to several of Arrow's most core problems. The project is inspired by Type Ex
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Chapter 7: Transactions
So far, we have introduced replication and partitioning. Replication (including the consensus algorithms) improves system fault tolerance, while partitioning improves system scalability; these two techniques address the physical problems of data. In addit
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Chapter 6: Partitioning
So far, in the systems we have discussed, we have assumed that every machine stores all data. In the earlier chapter on replication, when the primary node receives a write request from a client, it saves the entire dataset both locally and on other replic
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Chapter 5: Distributed Consensus Algorithms
In the preceding chapters, we discussed how replication can prevent data loss caused by single points of failure, how partitioning can handle massive amounts of data, and how distributed transactions can ensure the atomicity of cross-node operations. Howe
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Chapter 4: Replication
In distributed systems, data replication is one of the core design strategies. Its primary purpose is to improve system reliability, availability, performance, and fault tolerance by redundantly storing identical copies of data: High Availability: If only
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