happyfish100/fastdfs
Fastdfs
FastDFS is a distributed file system and object store designed as a high-capacity file server. It functions as a cluster storage manager that saves, syncs, and accesses large volumes of unstructured data across a network of distributed servers.
The system uses unique identifiers for file retrieval and indexing instead of traditional hierarchical naming to avoid metadata bottlenecks. It manages file attributes through key-value metadata mapping and employs a distributed replication model to ensure high availability and data redundancy across storage groups.
The project provides capabilities for scalable content delivery, including multi-threaded stream transfers for large files with resumable upload and download support. It includes mechanisms for system load balancing, dynamic storage scaling, and network configuration for IPv6 and hybrid cloud environments.
Integration tools allow the system to connect with external web servers to serve stored files directly to end users.
Features
- Distributed Storage - Saves and manages large volumes of unstructured data across a network of distributed servers for increased capacity.
- Distributed File Systems - Functions as a high-performance distributed file system for saving, syncing, and accessing files across a cluster of servers.
- Distributed Data Replication - Synchronizes and replicates files across multiple cluster nodes to ensure high availability and prevent data loss.
- Storage Node Replicas - Implements a distributed replication model across storage groups to ensure high availability and data redundancy.
- Distributed Object Stores - Employs a distributed object store architecture using unique identifiers for high-speed retrieval of unstructured data.
- File Storage and Metadata Management - Provides a system to store and retrieve file attributes as key-value pairs to describe specific file properties.
- High-Capacity File Servers - Provides a scalable, high-capacity file server solution capable of handling massive data volumes via multi-threaded transfers.
- Inter-Node Data Synchronization - Syncs data between different cluster nodes to maintain consistency and availability across the entire system.
- Identifier-Based Retrievals - Enables the retrieval of specific files using unique identifiers, removing the need for traditional naming hierarchies.
- Unique Identifier Indexing - Locates files using unique identifiers instead of traditional directory structures to eliminate metadata server bottlenecks.
- High Availability Systems - Ensures continuous service uptime by replicating files across different storage groups and nodes to prevent data loss.
- File Truncation and Appending - Allows updating existing content via truncate and append operations to avoid the overhead of full file re-uploads.
- Stored File Retrieval - Offers a single interface for fetching stored files and their metadata from a distributed cluster for high-performance delivery.
- Key-Value Pair Managers - Manages file attributes as independent key-value pairs for flexible property definition without altering file content.
- Large File Transfers - Supports the streaming of massive data volumes using multi-threaded and resumable upload and download capabilities.
- Append-Only Dataset Storage - Implements an append-only modification model that updates files by adding data to the end to avoid full-file re-writes.
- Storage Scaling - Allows the dynamic addition or removal of storage servers to expand total capacity without interrupting online services.
- Content Delivery Accelerators - Balances load across a distributed cluster of storage nodes to efficiently serve files to end users via web servers.
- Storage Backend Load Balancers - Distributes file requests and storage tasks across multiple servers to prevent node bottlenecks and optimize throughput.
- Multi-threaded Downloading - Maximizes network throughput by splitting large file transfers into parallel streams across multiple threads.
- Resumable File Transfers - Provides multi-threaded stream transfers for large files with the ability to resume interrupted uploads and downloads.
- Storage Management - High-performance distributed file system for file storage.
- Infrastructure and Backend - Distributed file system for high-availability storage.
