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Jiajun的技术笔记

你好,2026! TiDB 源码阅读(六):TiDB Coprocessor 源码解析 性能优化的核心思想 TiDB 源码阅读(五):索引 TiDB 源码阅读(四):AST、逻辑计划、物理计划 CockroachDB Serverless Architecture podman 无故退出 Cursor Control-L (CTRL-L) Keyboard Shortcuts in Terminal Replace docker with podman Using xmonad with xfce4 A RC script for freebsd frpc 自己动手写一个k8s controller AI 会取代你的(编程)岗位吗? 自建DERP服务器提升Tailscale连接速度(使用Nginx转发) 自动升级Docker容器 再读《程序员修炼之道-从小工到专家》 让浏览器下载文件 再读《软件随想录》/《黑客与画家》/《软技能》 HTTP 压力测试中的 Coordinated Omission 2的补码 编程语言中的 context 是什么? flutter macOS 构建出错 Flatpak 使用小记 Golang CAS 操作是怎么实现的 PostgreSQL 当MQ来使用 Clash 结合 工作VPN 的网络设计 使用 PostgreSQL 搭建 JuiceFS PostgreSQL 配置优化和日志分析 有GitHub Copilot?那就可以搭建你的ChatGPT4服务 窗口函数的使用(以PG为例)
GFS 论文阅读
2017-03-02 · via Jiajun的技术笔记
  • 预期背景

    • Component failures are the norm rather than the exception. So constant monitoring, error detection, fault tolerance, and automatic recovery must be integral to the system.

    • Files are huge by traditional standards. Multi-GB files are common.

    • Most files are mutated by appending new data rather than overwriting existing data.

    • Co-designing the applications and the file system API benefits the overall system by increasing our flexibility.

  • Architecture

architecture

- A GFS cluster consists of a single master and multiple chunkservers and
is accessed by multiple client.

- Files are divided into fixed-size chunks. Each chunk is identified by an
immutable and globally unique 64 bit chunk handle assigned by the master
at the time of chunk creation. Chunkservers store chunks on local disks as
Linux files and read or write chunk data specified by a chunk handle and
byte range. Each chunk is replicated on multiple chunkservers.

- The master maintains all file system metadata. This includes the
namespace, access control infomation, the mapping from files to chunks,
and the current locations of chunks. It also controls system-wide activities
such as chunk lease management, garbage collection of orphaned chunks, and
chunk migration between chunkservers.

- Neither the client nor the chunkserver caches file data.

    - for client, that's too big
    - for chunkserver, Linux's buffer cache already do this
  • Single master, to prevent the single master become a bottleneck, clients never read and write file data through the master, instead, a client asks the master which chunkservers it should contact, and it caches this infomation for a limited time and interacts with the chunkservers directly for many subsequent operations.

  • Chunk Size

A large chunk size offers serveral important advantages.

- Reduces clients' need to interact with the master

- A client is more likely to perform many operations on a given
chunk, it can reduce network overhead by keeping a persistent TCP
connection to the chunkserver over an extended period of time.

- Reduces the size of the metadata stored on the master.

and it’s disadvantage:

- A small file consists of a small number of chunks, perhaps just one, so
it is more likely to become hot spots.
  • Metadata

The master stores three major types of metadata:

- The file and chunk namespaces

- The mapping from files to chunks

- The locations of each chunk's replicas

All metadata is kept in the master’s memory. And the first two types(namespaces and the mapping from files to chunks) are also kept persistent by logging mutations to an operation log stored on the master’s local disk and replicated on remote machines. Chunkserver store chunk location infomation, and the master asks every chunkserver for chunk location infomation.

- Chunk Locations. The master does not keep a persistent record of which
chunkservers have a replica of a given chunk, it can keep itself up-to-date
by monitor chunkserver status with regular HeartBeat messages.

- The operation log contains a historical record of critical metadata
changes. So it is central to GFS. Also, it's been kept both in local disk
and remote, and the file size should be small.
  • Chunk replicas

Chunk replicas are created for three reasons: chunk creation, re-replication, and rebalancing.


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