分布式系统文章汇总

Write-Ahead Log

Provide durability guarantee without the storage data structures to be flushed to disk, by persisting every state change as a command to the append only log.

https://martinfowler.com/articles/patterns-of-distributed-systems/wal.html

Segmented Log

Split log into multiple smaller files instead of a single large file for easier operations.

https://martinfowler.com/articles/patterns-of-distributed-systems/log-segmentation.html

Replicated Log

Keep the state of multiple nodes synchronized by using a write-ahead log that is replicated to all the cluster nodes.

https://martinfowler.com/articles/patterns-of-distributed-systems/replicated-log.html

High-Water Mark

An index in the write ahead log showing the last successful replication.

https://martinfowler.com/articles/patterns-of-distributed-systems/high-watermark.html

Low-Water Mark

An index in the write ahead log showing which portion of the log can be discarded.

https://martinfowler.com/articles/patterns-of-distributed-systems/low-watermark.html

Paxos

Use two consensus building phases to reach safe consensus even when nodes disconnect

https://martinfowler.com/articles/patterns-of-distributed-systems/paxos.html

Quorum

Avoid two groups of servers making independent decisions, by requiring majority for taking every decision.

https://martinfowler.com/articles/patterns-of-distributed-systems/quorum.html

Leader and Followers

Have a single server to coordinate replication across a set of servers.

https://martinfowler.com/articles/patterns-of-distributed-systems/leader-follower.html

Generation Clock

A monotonically increasing number indicating the generation of the server.

https://martinfowler.com/articles/patterns-of-distributed-systems/generation.html

Two Phase Commit

Update resources on multiple nodes in one atomic operation.

https://martinfowler.com/articles/patterns-of-distributed-systems/two-phase-commit.html

The Log: What every software engineer should know about real-time data's unifying abstraction

https://engineering.linkedin.com/distributed-systems/log-what-every-software-engineer-should-know-about-real-time-datas-unifying

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