# hedengcheng/tech

programming, database, distributed system

Repository: https://github.com/hedengcheng/tech
Canonical: https://ross.abutalabs.com/products/tech
License Family: other
Last push: 2017-12-29T09:22:27+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 3672, "days_push": 3169, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 3394, forks 849 (observed 2026-08-28T04:07:59.192677+00:00)

## What it is
A curated collection of technical articles and conference talks by a former Alibaba engineer covering MySQL/InnoDB internals, RocksDB/MyRocks, AliSQL, CPU architecture, and distributed consensus algorithms like Paxos and Raft. It is a personal knowledge-sharing repository rather than runnable software.

## Use cases
- learn mysql innodb internals from source code analysis
- understand mvcc and locking in mysql
- study paxos and raft consensus algorithms
- learn rocksdb myrocks internals
- understand cpu cache coherence and memory consistency
- learn distributed database consistency techniques

## When to choose
- you want deep, source-level explanations of InnoDB, RocksDB, or distributed consensus in Chinese

## When to avoid
- you need runnable code or a software library
- you need English-language content
- you need up-to-date material on recent database versions

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: documentation, database, developer-tools
- domain: databases, microservices, developer-tools, tutorials
- platform: cross-platform
- tags: tech-talks, mysql-innodb, rocksdb, paxos, raft, distributed-consistency, chinese-language

## Member repositories
- hedengcheng/tech (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:59.192677+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T18:38:59.111497+00:00, confidence not recorded.
  - readme: https://github.com/hedengcheng/tech (fetched 2026-08-28T04:07:59.192677+00:00, sha db91702f7703)
- Data as of 2026-08-30T08:39:29.467469+00:00.