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Over the past few years, working remotely from home has given me many more opportunities to cook, and my skills have improved considerably.

This article introduces the mini-arrow project, a minimal Apache Arrow implementation written in Rust.

So far, we have introduced replication and partitioning.

So far, in the systems we have discussed, we have assumed that every machine stores all data.

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.

In distributed systems, data replication is one of the core design strategies.

In distributed systems, multiple nodes work together.

In the previous chapter, we compared single-node systems with distributed systems.

In the evolution of modern software engineering, the transition from single-node applications to distributed architectures represents a critical watershed.

This is a story about “how to build reliable systems out of unreliable components.”

Motivation # The Redis protocol has become the de facto standard for key-value storage protocols.

The ability to read source code is considered to be one of the underlying fundamental programmer skills, and the reason why this ability is important is that inevitably need to read or take over other people’s projects.

Netizen name “codedump,” not “coredump.”

Hi, I’m lichuang, also known as codedump (not “coredump”).