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happyfish100/fastdfs

9,227CAudience · ops devopsComplexity · 4/5Setup · hard

TLDR

A distributed file storage system that spreads files across a cluster of servers for redundancy and high throughput, designed for websites that handle large volumes of photos, videos, or other uploaded files.

Mindmap

mindmap
  root((FastDFS))
    Architecture
      Tracker servers
      Storage servers
      Server groups
    Features
      Auto replication
      Online scaling
      Resumable uploads
      Small file merging
    Client libraries
      C client
      PHP client
      Java client
      Go client
    Use cases
      Photo sharing
      Video hosting
      File distribution
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Things people build with this

USE CASE 1

Deploy FastDFS to store and serve millions of user-uploaded images across a fault-tolerant cluster of servers.

USE CASE 2

Replace a single-server file storage setup with a multi-server FastDFS cluster that keeps copies synchronized automatically.

USE CASE 3

Use the Java or Go client library to upload files from your application and get back a unique file ID for retrieval.

USE CASE 4

Scale total storage capacity by adding a new group of servers without taking the existing cluster offline.

Tech stack

CPHPJavaGo

Getting it running

Difficulty · hard Time to first run · 1day+

Requires deploying multiple tracker and storage server instances on Linux, full configuration documentation lives in the project wiki.

License not specified in the explanation, check the repository directly.

In plain English

FastDFS is a file storage system designed to hold large numbers of files across many servers at once. Instead of putting all your files on one machine, FastDFS spreads them across a cluster of storage servers and keeps copies synchronized so that no single machine failure causes data loss. It was built for websites and applications that deal heavily in files, such as photo sharing platforms or video hosting services. The system has two types of components working together. Trackers are the coordinators: they keep track of where files live and direct incoming requests to the right storage server. Storage servers are where the actual files sit. Both types can be added or removed from the cluster while the system keeps running, so you can expand capacity without taking anything offline. Storage servers are organized into groups. Every server in a group holds the same files, which means they back each other up and share the load. When you add a new server to a group, it automatically receives copies of all existing files before going live. To grow total capacity, you simply add a new group of servers. The system assigns each uploaded file a unique ID that acts as its access credential, so there is no separate name server required. FastDFS handles small, medium, and large files and has special support for storing huge numbers of small files efficiently by merging them. It supports multi-threaded uploads and downloads, resuming interrupted transfers, and read-write separation. It can work across data centers and supports hybrid cloud setups. Client libraries are available in C, PHP, Java, and Go, so developers can connect to FastDFS from most common environments. Configuration and installation documentation lives in the project wiki.

Copy-paste prompts

Prompt 1
Show me how to set up a FastDFS tracker server and two storage servers on Linux for a photo-sharing application.
Prompt 2
Write a Java example that uploads a file to a FastDFS cluster and retrieves the unique file ID for later download.
Prompt 3
How do I add a new storage group to an existing FastDFS cluster to increase capacity without downtime?
Prompt 4
Configure FastDFS read-write separation so read requests are spread across all storage servers in a group.
Prompt 5
Write a Go snippet using the FastDFS Go client to upload a file and return the storage path.
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