seaweedfs

Table of Contents

Motivation
Design
Benefits
Usage
Configuring Storage Backend

S3
Rclone
Configuration

Automated Tiering

Motivation

NOTE: SeaweedFS provides two mechanisms to use cloud storage:

SeaweedFS Cloud Drive

in this case, you can mount an S3 bucket to the Seaweedfs file system (in the filer), and access the remote files through SeaweedFS. Effectively, SeaweedFS caches the files from the cloud storage.

In this mode, the file structure in cloud store is exactly matching the SeaweedFS structure - so every file in SeaweedFS will also become a file in the cloud storage provider.

This is useful in case you want to use the files inside the cloud provider's infrastructure.

However, this does not support file encryption in any way (obviously), as the files are put to Cloud Storage as is.

Tiered Storage with Cloud Tier (<== You are here)

In this mode, seaweedFS moves full volume files to the cloud storage provider, so files which are 1 GB (in our case) big.

This mode supports Filer Data Encryption transparently.

The chunk files uploaded to the cloud provider are not usable outside of SeaweedFS.

Cloud storage is an ideal place to backup warm data. Its storage is scalable, and cost is usually low compared to on-premise storage servers. Uploading to the cloud is usually free. However, usually the cloud storage access is not free and slow.

SeaweedFS is fast. However, its capacity is limited by available number of volume servers.

One good way is to combine SeaweedFS' fast local access speed with the cloud storage's elastic capacity.

Assuming hot data is 20% and warm data is 80%. We can move the warm data to the cloud storage. The access for the warm data will be slower, but this can free up 80% servers, or repurpose them for faster local access, instead of just storing warm data with little access. All of this is transparent to SeaweedFS users.

With fixed number of servers, this transparent cloud integration literally gives SeaweedFS unlimited capacity, in addition to its fast speed. Just add more local SeaweedFS volume servers to increase the throughput.

Design

If one volume is tiered to the cloud,

The volume is marked as readonly.
The index file is still local
The .dat file is moved to the cloud.
The same O(1) disk read is applied to the remote file. When requesting a file entry, a single range request retrieves the entry's content.

Benefits

Compared to direct S3 storage, this is both faster and cheaper!

Cheaper!
- Reduce the API access cost to almost nothing, which is often forgotten at first, but will hit your wallet unexpectedly after you go all-in with S3.
- Use lower cost storage tiers.
- Compression
Faster!
- Local access for recent data, skipping one internet trip.
- Access old data from S3 with O(1) http call.

Usage

Use weed scaffold -config=master to generate master.toml, tweak it, and start master server with the master.toml.
Use volume.tier.upload in weed shell to move volumes to the cloud.
Use volume.tier.download in weed shell to move volumes to the local cluster.

Configuring Storage Backend

The following storage backends are currently supported:

S3
Rclone

S3

Multiple S3 buckets are supported. Usually you just need to configure one backend.

# The storage backends are configured on the master, inside master.toml
[storage.backend]
	[storage.backend.s3.default]
	enabled = true
	aws_access_key_id     = ""     # if empty, loads from the shared credentials file (~/.aws/credentials).
	aws_secret_access_key = ""     # if empty, loads from the shared credentials file (~/.aws/credentials).
	region = "us-west-1"
	bucket = "one_bucket"          # an existing bucket
	storage_class = "STANDARD_IA"

	[storage.backend.s3.name2]
	enabled = true
	aws_access_key_id     = ""     # if empty, loads from the shared credentials file (~/.aws/credentials).
	aws_secret_access_key = ""     # if empty, loads from the shared credentials file (~/.aws/credentials).
	region = "us-west-2"
	bucket = "one_bucket_two"          # an existing bucket
	storage_class = "STANDARD_IA"

Rclone

Here's an example of a configuration for an Rclone storage backend:

[storage.backend]
	[storage.backend.rclone.default]
	enabled = true
	remote_name = "my-onedrive"
	key_template = "SeaweedFS/{{ slice . 0 2 }}/{{ slice . 2 4 }}/{{ slice . 4 }}"  # optional

Where my-remote must correspond to what's configured in ~/.config/rclone/rclone.conf:

[my-onedrive]
type = onedrive
...

The optional key_template property makes it possible to choose how the individual volume files are eventually named in the storage backend.
The template has to follow the text/template syntax, where . is a UUID string representing the volume ID.
In this example, files would be named as such in OneDrive:

SeaweedFS/
  5f/
    e5/
      03d8-0aba-4e42-b1c8-6116bf862f71

Configuration

After changing the master config, you need to restart the volume servers so that they pull the updated configuration from the master. If you forget to do this, you'll get an error message about no storage backends being configured.

After this is configured, you can use this command to upload the .dat file content to the cloud.

// move the volume 37.dat to the s3 cloud
volume.tier.upload -dest=s3 -collection=benchmark -volumeId=37
// or
volume.tier.upload -dest=s3.default -collection=benchmark -volumeId=37
// if for any reason you want to move the volume to a different bucket
volume.tier.upload -dest=s3.name2 -collection=benchmark -volumeId=37

Automated Tiering

In master.toml generated by weed scaffold -config=master, you can adjust the master.maintenance script section:

[master.maintenance]
# periodically run these scripts are the same as running them from 'weed shell'
scripts = """
  lock
  volume.tier.upload -dest s3 -fullPercent=95 -quietFor=1h
  ...
  unlock
"""

Or you can run the weed shell periodically in some cron job:

echo "lock;volume.tier.upload -dest s3 -fullPercent=95 -quietFor=1h;unlock" | weed shell

Introduction

API

Configuration

Filer

Filer Stores

Advanced Filer Configurations

FUSE Mount

FIO benchmark

WebDAV

Cloud Drive

AWS S3 API

AWS IAM

Machine Learning

TensorFlow with SeaweedFS

HDFS

Replication and Backup

Async Replication to another Filer [Deprecated]
Async Backup
Async Filer Metadata Backup
Async Replication to Cloud [Deprecated]
Kubernetes Backups and Recovery with K8up

Motivation

Design

Benefits

Usage

Configuring Storage Backend

S3

Rclone

Configuration

Automated Tiering

Introduction

API

Configuration

Filer

Filer Stores

Advanced Filer Configurations

FUSE Mount

WebDAV

Cloud Drive

AWS S3 API

AWS IAM

Machine Learning

HDFS

Replication and Backup

Messaging

Use Cases

Operations

Advanced

Security

Misc Use Case Examples