Awesome Go

Seaweed File System

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SubcategoryOther Software
Stars42

Fast, Simple and Scalable Distributed File System with O(1) disk seek

About Seaweed File System

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# SeaweedFS


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<h2 align="center"><a href="https://www.patreon.com/seaweedfs">Sponsor SeaweedFS via Patreon</a></h2>

SeaweedFS is an independent Apache-licensed open source project with its ongoing development made
possible entirely thanks to the support of these awesome [backers](https://github.com/seaweedfs/seaweedfs/blob/master/backers.md).
If you'd like to grow SeaweedFS even stronger, please consider joining our
<a href="https://www.patreon.com/seaweedfs">sponsors on Patreon</a>.

Your support will be really appreciated by me and other supporters!

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---

- [Download Binaries for different platforms](https://github.com/seaweedfs/seaweedfs/releases/latest)
- [SeaweedFS on Slack](https://join.slack.com/t/seaweedfs/shared_invite/enQtMzI4MTMwMjU2MzA3LTEyYzZmZWYzOGQ3MDJlZWMzYmI0OTE4OTJiZjJjODBmMzUxNmYwODg0YjY3MTNlMjBmZDQ1NzQ5NDJhZWI2ZmY)
- [SeaweedFS on Twitter](https://twitter.com/SeaweedFS)
- [SeaweedFS on Telegram](https://t.me/Seaweedfs) 
- [SeaweedFS on Reddit](https://www.reddit.com/r/SeaweedFS/)
- [SeaweedFS Mailing List](https://groups.google.com/d/forum/seaweedfs)
- [Wiki Documentation](https://github.com/seaweedfs/seaweedfs/wiki)
- [SeaweedFS White Paper](https://github.com/seaweedfs/seaweedfs/wiki/SeaweedFS_Architecture.pdf)
- [SeaweedFS Introduction Slides 2025.5](https://docs.google.com/presentation/d/1tdkp45J01oRV68dIm4yoTXKJDof-EhainlA0LMXexQE/edit?usp=sharing)
- [SeaweedFS Introduction Slides 2021.5](https://docs.google.com/presentation/d/1DcxKWlINc-HNCjhYeERkpGXXm6nTCES8mi2W5G0Z4Ts/edit?usp=sharing)
- [SeaweedFS Introduction Slides 2019.3](https://www.slideshare.net/chrislusf/seaweedfs-introduction)

Table of Contents
=================

* [Quick Start](#quick-start)
    * [Quick Start with weed mini](#quick-start-with-weed-mini)
    * [Quick Start for S3 API on Docker](#quick-start-for-s3-api-on-docker)
    * [Quick Start with Single Binary](#quick-start-with-single-binary)
* [Introduction](#introduction)
* [Features](#features)
    * [Additional Features](#additional-features)
    * [Filer Features](#filer-features)
* [Example: Using Seaweed Object Store](#example-using-seaweed-object-store)
* [Architecture](#object-store-architecture)
* [Compared to Other File Systems](#compared-to-other-file-systems)
    * [Compared to HDFS](#compared-to-hdfs)
    * [Compared to GlusterFS, Ceph](#compared-to-glusterfs-ceph)
    * [Compared to GlusterFS](#compared-to-glusterfs)
    * [Compared to Ceph](#compared-to-ceph)
    * [Compared to Minio](#compared-to-minio)
* [Dev Plan](#dev-plan)
* [Installation Guide](#installation-guide)
* [Disk Related Topics](#disk-related-topics)
* [Benchmark](#benchmark)
* [Enterprise](#enterprise)
* [License](#license)

# Quick Start #


## Quick Start with weed mini ##
The easiest way to get started with SeaweedFS for development and testing:

* Download the latest binary from https://github.com/seaweedfs/seaweedfs/releases and unzip a single binary file `weed` or `weed.exe`.

Example:

```bash
# remove quarantine on macOS
# xattr -d com.apple.quarantine  ./weed

./weed mini -dir=/data
```

This single command starts a complete SeaweedFS setup with:
- **Master UI**: http://localhost:9333
- **Volume Server**: http://localhost:9340
- **Filer UI**: http://localhost:8888
- **S3 Endpoint**: http://localhost:8333
- **WebDAV**: http://localhost:7333
- **Admin UI**: http://localhost:23646

Perfect for development, testing, learning SeaweedFS, and single node deployments!

## Quick Start for S3 API on Docker ##

`docker run -p 8333:8333 chrislusf/seaweedfs server -s3`

## Quick Start with Single Binary ##
* Download the latest binary from https://github.com/seaweedfs/seaweedfs/releases and unzip a single binary file `weed` or `weed.exe`. Or run `go install github.com/seaweedfs/seaweedfs/weed@latest`.
* `export AWS_ACCESS_KEY_ID=admin ; export AWS_SECRET_ACCESS_KEY=key` as the admin credentials to access the object store.
* Run `weed server -dir=/some/data/dir -s3` to start one master, one volume server, one filer, and one S3 gateway. The difference with `weed mini` is that `weed mini` can auto configure based on the single host environment, while `weed server` requires manual configuration and are designed for production use.

Also, to increase capacity, just add more volume servers by running `weed volume -dir="/some/data/dir2" -master="<master_host>:9333" -port=8081` locally, or on a different machine, or on thousands of machines. That is it!

# Introduction #

SeaweedFS is a simple and highly scalable distributed file system. There are two objectives:

1. to store billions of files!
2. to serve the files fast!

SeaweedFS started as a blob store to handle small files efficiently. 
Instead of managing all file metadata in a central master, 
the central master only manages volumes on volume servers, 
and these volume servers manage files and their metadata. 
This relieves concurrency pressure from the central master and spreads file metadata into volume servers, 
allowing faster file access (O(1), usually just one disk read operation).

There is only 40 bytes of disk storage overhead for each file's metadata. 
It is so simple with O(1) disk reads that you are welcome to challenge the performance with your actual use cases.

SeaweedFS started by implementing [Facebook's Haystack design paper](http://www.usenix.org/event/osdi10/tech/full_papers/Beaver.pdf). 
Also, SeaweedFS implements erasure coding with ideas from 
[f4: Facebook’s Warm BLOB Storage System](https://www.usenix.org/system/files/conference/osdi14/osdi14-paper-muralidhar.pdf), and has a lot of similarities with [Facebook’s Tectonic Filesystem](https://www.usenix.org/system/files/fast21-pan.pdf) and [Google's Colossus File System](https://cloud.google.com/blog/products/storage-data-transfer/a-peek-behind-colossus-googles-file-system)

On top of the blob store, optional [Filer] can support directories and POSIX attributes. 
Filer is a separate linearly-scalable stateless server with customizable metadata stores, 
e.g., MySql, Postgres, Redis, Cassandra, HBase, Mongodb, Elastic Search, LevelDB, RocksDB, Sqlite, MemSql, TiDB, Etcd, CockroachDB, YDB, etc.

SeaweedFS can transparently integrate with the cloud. 
With hot data on local cluster, and warm data on the cloud with O(1) access time, 
SeaweedFS can achieve both fast local access time and elastic cloud storage capacity.
What's more, the cloud storage access API cost is minimized. 
Faster and cheaper than direct cloud storage!

[Back to TOC](#table-of-contents)

# Features #
## Additional Blob Store Features ##
* Support different replication levels, with rack and data center aware.
* Automatic master servers failover - no single point of failure (SPOF).
* Automatic compression depending on file MIME type.
* Automatic compaction to reclaim disk space after deletion or update.
* [Automatic entry TTL expiration][VolumeServerTTL].
* Flexible Capacity Expansion: Any server with some disk space can add to the total storage space.
* Adding/Removing servers does **not** cause any data re-balancing unless triggered by admin commands.
* Optional picture resizing.
* Support ETag, Accept-Range, Last-Modified, etc.
* Support in-memory/leveldb/readonly mode tuning for memory/performance balance.
* Support rebalancing the writable and readonly volumes.
* [Customizable Multiple Storage Tiers][TieredStorage]: Customizable storage disk types to balance performance and cost.
* [Transparent cloud integration][CloudTier]: unlimited capacity via tiered cloud storage for warm data.
* [Erasure Coding for warm storage][ErasureCoding]  Rack-Aware 10.4 erasure coding reduces storage cost and increases availability. Enterprise version can customize EC ratio.

[Back to TOC](#table-of-contents)

## Filer Features ##
* [Filer server][Filer] provides "normal" directories and files via HTTP.
* [File TTL][FilerTTL] automatically expires file metadata and actual file data.
* [Mount filer][Mount] reads and writes files directly as a local directory via FUSE.
* [Filer Store Replication][FilerStoreReplication] enables HA for filer meta data stores.
* [Active-Active Replication][ActiveActiveAsyncReplication] enables asynchronous one-way or two-way cross cluster continuous replication.
* [Amazon S3 compatible API][AmazonS3API] accesses files with S3 tooling.
* [Hadoop Compatible File System][Hadoop] accesses files from Hadoop/Spark/Flink/etc or even runs HBase.
* [Async Replication To Cloud][BackupToCloud] has extremely fast local access and backups to Amazon S3, Google Cloud Storage, Azure, BackBlaze.
* [WebDAV] accesses as a mapped drive on Mac and Windows, or from mobile devices.
* [AES256-GCM Encrypted Storage][FilerDataEncryption] safely stores the encrypted data.
* [Super Large Files][SuperLargeFiles] stores large or super large files in tens of TB.
* [Cloud Drive][CloudDrive] mounts cloud storage to local cluster, cached for fast read and write with asynchronous write back.
* [Gateway to Remote Object Store][GatewayToRemoteObjectStore] mirrors bucket operations to remote object storage, in addition to [Cloud Drive][CloudDrive]

## Kubernetes ##
* [Kubernetes CSI Driver][SeaweedFsCsiDriver] A Container Storage Interface (CSI) Driver. [![Docker Pulls](https://img.shields.io/docker/pulls/chrislusf/seaweedfs-csi-driver.svg?maxAge=4800)](https://hub.docker.com/r/chrislusf/seaweedfs-csi-driver/)
* [SeaweedFS Operator](https://github.com/seaweedfs/seaweedfs-operator)

[Filer]: https://github.com/seaweedfs/seaweedfs/wiki/Directories-and-Files
[SuperLargeFiles]: https://github.com/seaweedfs/seaweedfs/wiki/Data-Structure-for-Large-Files
[Mount]: https://github.com/seaweedfs/seaweedfs/wiki/FUSE-Mount
[AmazonS3API]: https://github.com/seaweedfs/seaweedfs/wiki/Amazon-S3-API
[BackupToCloud]: https://github.com/seaweedfs/seaweedfs/wiki/Async-Replication-to-Cloud
[Hadoop]: https://github.com/seaweedfs/seaweedfs/wiki/Hadoop-Compatible-File-System
[WebDAV]: https://github.com/seaweedfs/seaweedfs/wiki/WebDAV
[ErasureCoding]: https://github.com/seaweedfs/seaweedfs/wiki/Erasure-coding-for-warm-storage
[TieredStorage]: https://github.com/seaweedfs/seaweedfs/wiki/Tiered-Storage
[CloudTier]: https://github.com/seaweedfs/seaweedfs/wiki/Cloud-Tier
[FilerDataEncryption]: https://github.com/seaweedfs/seaweedfs/wiki/Filer-Data-Encryption
[FilerTTL]: https://github.com/seaweedfs/seaweedfs/wiki/Filer-Stores
[VolumeServerTTL]: https://github.com/seaweedfs/seaweedfs/wiki/Store-file-with-a-Time-To-Live
[SeaweedFsCsiDriver]: https://github.com/seaweedfs/seaweedfs-csi-driver
[ActiveActiveAsyncReplication]: https://github.com/seaweedfs/seaweedfs/wiki/Filer-Active-Active-cross-cluster-continuous-synchronization
[FilerStoreReplication]: https://github.com/seaweedfs/seaweedfs/wiki/Filer-Store-Replication
[KeyLargeValueStore]: https://github.com/seaweedfs/seaweedfs/wiki/Filer-as-a-Key-Large-Value-Store
[CloudDrive]: https://github.com/seaweedfs/seaweedfs/wiki/Cloud-Drive-Architecture
[GatewayToRemoteObjectStore]: https://github.com/seaweedfs/seaweedfs/wiki/Gateway-to-Remote-Object-Storage


[Back to TOC](#table-of-contents)

## Example: Using Seaweed Blob Store ##

By default, the master node runs on port 9333, and the volume nodes run on port 8080.
Let's start one master node, and two volume nodes on port 8080 and 8081. Ideally, they should be started from different machines. We'll use localhost as an example.

SeaweedFS uses HTTP REST operations to read, write, and delete. The responses are in JSON or JSONP format.

### Start Master Server ###

```
> ./weed master
```

### Start Volume Servers ###

```
> weed volume -dir="/tmp/data1" -max=5  -master="localhost:9333" -port=8080 &
> weed volume -dir="/tmp/data2" -max=10 -master="localhost:9333" -port=8081 &
```

### Write A Blob ###

A blob, also referred as a needle, a chunk, or mistakenly as a file, is just a byte array. It can have attributes, such as name, mime type, create or update time, etc. But basically it is just a byte array of a relatively small size, such as 2 MB ~ 64 MB. The size is not fixed.

To upload a blob: first, send a HTTP POST, PUT, or GET request to `/dir/assign` to get an `fid` and a volume server URL:

```
> curl http://localhost:9333/dir/assign
{"count":1,"fid":"3,01637037d6","url":"127.0.0.1:8080","publicUrl":"localhost:8080"}
```

Second, to store the blob content, send a HTTP multi-part POST request to `url + '/' + fid` from the response:

```
> curl -F file=@/home/chris/myphoto.jpg http://127.0.0.1:8080/3,01637037d6
{"name":"myphoto.jpg","size":43234,"eTag":"1cc0118e"}
```

To update, send another POST request with updated blob content.

For deletion, send an HTTP DELETE request to the same `url + '/' + fid` URL:

```
> curl -X DELETE http://127.0.0.1:8080/3,01637037d6
```

### Save Blob Id ###

Now, you can save the `fid`, 3,01637037d6 in this case, to a database field.

The number 3 at the start represents a volume id. After the comma, it's one file key, 01, and a file cookie, 637037d6.

The volume id is an unsigned 32-bit integer. The file key is an unsigned 64-bit integer. The file cookie is an unsigned 32-bit integer, used to prevent URL guessing.

The file key and file cookie are both coded in hex. You can store the <volume id, file key, file cookie> tuple in your own format, or simply store the `fid` as a string.

If stored as a string, in theory, you would need 8+1+16+8=33 bytes. A char(33) would be enough, if not more than enough, since most uses will not need 2^32 volumes.

If space is really a concern, you can store the file id in the binary format. You would need one 4-byte integer for volume id, 8-byte long number for file key, and a 4-byte integer for the file cookie. So 16 bytes are more than enough.

### Read a Blob ###

Here is an example of how to render the URL.

First look up the volume server's URLs by the file's volumeId:

```
> curl http://localhost:9333/dir/lookup?volumeId=3
{"volumeId":"3","locations":[{"publicUrl":"localhost:8080","url":"localhost:8080"}]}
```

Since (usually) there are not too many volume servers, and volumes don't move often, you can cache the results most of the time. Depending on the replication type, one volume can have multiple replica locations. Just randomly pick one location to read.

Now you can take the public URL, render the URL or directly read from the volume server via URL:

```
 http://localhost:8080/3,01637037d6.jpg
```

Notice we add a file extension ".jpg" here. It's optional and just one way for the client to specify the file content type.

If you want a nicer URL, you can use one of these alternative URL formats:

```
 http://localhost:8080/3/01637037d6/my_preferred_name.jpg
 http://localhost:8080/3/01637037d6.jpg
 http://localhost:8080/3,01637037d6.jpg
 http://localhost:8080/3/01637037d6
 http://localhost:8080/3,01637037d6
```

If you want to get a scaled version of an image, you can add some params:

```
http://localhost:8080/3/01637037d6.jpg?height=200&width=200
http://localhost:8080/3/01637037d6.jpg?height=200&width=200&mode=fit
http://localhost:8080/3/01637037d6.jpg?height=200&width=200&mode=fill
```

### Rack-Aware and Data Center-Aware Replication ###

SeaweedFS applies the replication strategy at a volume level. So, when you are getting a blob id, you can specify the replication strategy. For example:

```
curl http://localhost:9333/dir/assign?replication=001
```

The replication parameter options are:

```
000: no replication
001: replicate once on the same rack
010: replicate once on a different rack, but same data center
100: replicate once on a different data center
200: replicate twice on two different data center
110: replicate once on a different rack, and once on a different data center
```

More details about replication can be found [on the wiki][Replication].

[Replication]: https://github.com/seaweedfs/seaweedfs/wiki/Replication

You can also set the default replication strategy when starting the master server.

### Allocate Blob Key on Specific Data Center ###

Volume servers can be started with a specific data center name:

```
 weed volume -dir=/tmp/1 -port=8080 -dataCenter=dc1
 weed volume -dir=/tmp/2 -port=8081 -dataCenter=dc2
```

When requesting a blob key, an optional "dataCenter" parameter can limit the assigned volume to the specific data center. For example, this specifies that the assigned volume should be limited to 'dc1':

```
 http://localhost:9333/dir/assign?dataCenter=dc1
```

### Other Features ###
  * [No Single Point of Failure][feat-1]
  * [Insert with your own keys][feat-2]
  * [Chunking large files][feat-3]
  * [Collection as a Simple Name Space][feat-4]

[feat-1]: https://github.com/seaweedfs/seaweedfs/wiki/Failover-Master-Server
[feat-2]: https://github.com/seaweedfs/seaweedfs/wiki/Optimization#insert-with-your-own-keys
[feat-3]: https://github.com/seaweedfs/seaweedfs/wiki/Optimization#upload-large-files
[feat-4]: https://github.com/seaweedfs/seaweedfs/wiki/Optimization#collection-as-a-simple-name-space

[Back to TOC](#table-of-contents)

## Blob Store Architecture ##

Usually distributed file systems split each file into chunks. A central server keeps a mapping of filenames to chunks, and also which chunks each chunk server has.

The main drawback is that the central server can't handle many small files efficiently, and since all read requests need to go through the central master, so it might not scale well for many concurrent users.

Instead of managing chunks, SeaweedFS manages data volumes in the master server. Each data volume is 32GB in size, and can hold a lot of blobs. And each storage node can have many data volumes. So the master node only needs to store the metadata about the volumes, which is a fairly small amount of data and is generally stable.

The actual blob metadata, which are the blob volume, offset, and size, is stored in each volume on volume servers. Since each volume server only manages metadata of blobs on its own disk, with only 16 bytes for each blob, all access can read the metadata just from memory and only needs one disk operation to actually read file data.

For comparison, consider that an xfs inode structure in Linux is 536 bytes.

Frequently Asked Questions

What is Seaweed File System?

Seaweed File System is a Software Packages library for the Go programming language. Fast, Simple and Scalable Distributed File System with O(1) disk seek

How do I install Seaweed File System?

Install Seaweed File System with the Go module system using `go get chrislusf/seaweedfs`. Check the repository for the current installation instructions.

What category does Seaweed File System belong to?

Seaweed File System is listed under Software Packages, specifically Other Software.

← Back to Other Software