Distributed storage research: Ceph (shelved) + MinIO guide + DedupS3 design

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# Ceph RADOS Integration Analysis for MarkBase
**Date**: 2026-06-25
**Status**: Shelved (不符合 macOS 跨平台定位)
**Library**: ceph-async (4.0.5)
**Constraint**: Linux-only (requires librados.so symlink)
---
## Executive Summary
### Goal
Add Ceph RADOS as a VfsBackend option for distributed, highly scalable storage.
### Key Findings
| Aspect | Finding |
|--------|---------|
| **Platform** | ❌ Linux-only (librados.so FFI, macOS needs Docker/VM) |
| **Deployment** | ⚠️ Requires full cluster (Monitor + OSD + MGR) |
| **Complexity** | ⚠️⚠️⚠️⚠️⚠️ High (超出 Lightweight 定位) |
| **Positioning** | ❌ 不符合 MarkBase macOS 跨平台定位 |
### Recommendation
**当前搁置**。优先考虑:
1. **MinIO** — S3-compatible已有 S3Vfs 支持,跨平台
2. **内置分布式** — DedupFs + S3Vfs 组合,轻量级
---
## Architecture Overview
```
┌─────────────────────────────────────────────────────────────────────────┐
│ MarkBase Application Layer │
│ ├── SMB Server (Port 4445) │
│ ├── SFTP Server (Port 2024) │
│ ├── WebDAV Server (Port 11438) │
│ └───────────────────────────────────────────────────────────────────────┘
│ ↓ │
┌─────────────────────────────────────────────────────────────────────────┐
│ VFS Abstraction Layer (VfsBackend trait) │
│ ├── LocalFs — POSIX local filesystem │
│ ├── S3Vfs — S3-compatible storage (HTTP API) │
│ ├── SmbVfs — SMB client backend │
│ ├── CephVfs — Ceph RADOS backend (搁置) │
│ ├── EncryptedFs — Encryption layer │
│ ├── Compression — ZSTD/LZ4 compression layer │
│ ├── DedupFs — Block deduplication layer │
│ ├── RaidFs — RAID-Z emulation layer │
│ └─────────────────────────────────────────────────────────────────────┘
│ ↓ │
┌─────────────────────────────────────────────────────────────────────────┐
│ Ceph Storage Cluster (RADOS) │
│ ├── Monitor (MON) — Cluster map, authentication │
│ ├── OSD Daemons — Object storage (data replication) │
│ ├── Manager (MGR) — Dashboard, telemetry │
│ ├── MDS (optional) — CephFS metadata server │
│ ├── RGW (optional) — S3/Swift gateway │
│ └─────────────────────────────────────────────────────────────────────┘
```
---
## Library Analysis
### Rust Ceph Crates
| Crate | Version | Description | Platform |
|-------|---------|-------------|----------|
| `ceph` | 3.2.5 | Official librados FFI (sync) | Linux-only |
| `ceph-async` | 4.0.5 | Async librados FFI (futures 0.3) | Linux-only |
| `ceph-rbd` | 0.3.2 | RADOS Block Device bindings | Linux-only |
### ceph-async Module Structure
```
ceph_async::
├── CephClient — Admin operations (OSD/Pool/Mon commands)
├── rados:: — Low-level FFI bindings (100+ functions)
│ ├── rados_read/write/stat/remove — Object I/O
│ ├── rados_pool_create/delete/lookup — Pool management
│ ├── rados_ioctx_* — I/O context (pool handle)
│ ├── rados_snap_* — Snapshot management
│ ├── rados_lock_* — Distributed locking
│ ├── rados_aio_* — Async I/O
│ ├── rados_omap_* — Key-value store per object
│ └── rados_write_op_* / rados_read_op_* — Compound operations
├── completion:: — Async completion handling
├── read_stream:: — Async read stream
├── write_sink:: — Async write sink
└── list_stream:: — Async object listing
```
### CephClient API
```rust
let client = CephClient::new("admin", "/etc/ceph/ceph.conf")?;
// OSD operations
client.osd_tree()?; // Get OSD tree (CRUSH map)
client.osd_out(osd_id)?; // Mark OSD out
client.osd_crush_remove(osd_id)?; // Remove from CRUSH map
// Pool operations
client.osd_pool_get(pool, option)?; // Get pool config
client.osd_pool_set(pool, key, val)?; // Set pool config
client.osd_pool_quota_get(pool)?; // Get pool quota
// Cluster status
client.status()?; // Cluster health
client.mon_dump()?; // Monitor list
client.version()?; // Ceph version
```
---
## Implementation Phases
| Phase | Task | Code Lines | Priority | Risk | Dependencies |
|-------|------|------------|----------|------|--------------|
| **Phase 1** | CephVfs struct + basic I/O | ~400 | P0 | Medium ⚠️⚠️⚠️ | ceph-async crate |
| **Phase 2** | Pool management CLI | ~150 | P1 | Low ⚠️ | Phase 1 |
| **Phase 3** | Snapshot support | ~200 | P2 | Medium ⚠️⚠️⚠️ | librados snap API |
| **Phase 4** | Distributed locking | ~100 | P2 | Medium ⚠️⚠️⚠️ | librados lock API |
| **Phase 5** | OMAP key-value | ~150 | P3 | Low ⚠️ | librados omap API |
| **Phase 6** | Async integration | ~300 | P1 | High ⚠️⚠️⚠️⚠️ | async-vfs feature |
| **Phase 7** | Docker test environment | ~50 | P0 | Low ⚠️ | Docker compose |
| **Phase 8** | Performance benchmark | ~100 | P2 | Low ⚠️ | Benchmark scripts |
| **Total** | | **~1350** | | | |
---
## Phase 1: CephVfs Core Implementation
### Key Design Decisions
**1. Object vs File mapping**:
- RADOS is object storage (no directories)
- Path `/foo/bar.txt` → Object `foo/bar.txt` in pool
- Directories simulated via zero-byte objects with `/` suffix (like S3)
**2. Pool-per-share vs single pool**:
- Option A: Single pool + path prefix (simpler, less isolation)
- Option B: Pool-per-share (better isolation, quota per pool)
- **Recommend**: Option B (pool-per-share) for enterprise use
**3. I/O context caching**:
- Each pool requires separate `rados_ioctx_t`
- Cache ioctx per share to avoid recreation overhead
### CephVfs Struct (Draft)
```rust
pub struct CephVfs {
cluster: rados_t, // RADOS cluster handle
pool_name: String, // Pool name for this share
ioctx: rados_ioctx_t, // I/O context (cached)
root_prefix: String, // Path prefix within pool
}
pub struct CephVfsFile {
ioctx: rados_ioctx_t,
object_id: String, // Object name in pool
position: u64,
write_buffer: Vec<u8>, // Buffer for writes (flush on close)
size: u64,
}
```
### VfsBackend Method Mapping
| Method | RADOS equivalent | Complexity |
|--------|-----------------|------------|
| `read_dir()` | `rados_nobjects_list_*` | High (pagination) |
| `open_file()` | Custom (object ops) | Medium |
| `stat()` | `rados_stat()` | Low |
| `create_dir()` | `rados_write_full(0-byte)` | Low |
| `remove_dir()` | `rados_remove()` | Low |
| `remove_file()` | `rados_remove()` | Low |
| `rename()` | Custom (copy + delete) | Medium |
| `exists()` | `rados_stat()` | Low |
| `copy()` | `rados_clone_range()` | Low |
| `hard_link()` | `rados_clone_range()` | Low |
| `read_link()` | Unsupported | N/A |
| `create_symlink()` | Unsupported | N/A |
---
## Risk Assessment
| Risk | Level | Mitigation |
|------|-------|------------|
| **Linux-only** | ⚠️⚠️⚠️⚠️⚠️ Critical | Docker/VM for macOS; 不符合跨平台定位 |
| **librados.so symlink** | ⚠️⚠️⚠️ Medium | Document setup; CI check |
| **Pool-level snapshots** | ⚠️⚠️ Low | Document limitation; consider RGW |
| **Async overhead** | ⚠️⚠️⚠️ Medium | Benchmark; spawn_blocking wrapper |
| **Cluster complexity** | ⚠️⚠️⚠️⚠️⚠️ Critical | 超出 Lightweight 定位; Docker compose |
| **SMB Oplocks integration** | ⚠️⚠️⚠️ Medium | RADOS locking API; careful design |
---
## Alternatives (推荐方案)
### 方案对比
| 方案 | 跨平台 | 部署复杂度 | 定位匹配 | 状态 |
|------|--------|-----------|---------|------|
| **Ceph RADOS** | ❌ Linux-only | ⚠️⚠️⚠️⚠️⚠️ 极高 | ❌ 不匹配 | 搁置 |
| **Ceph RGW (S3)** | ✅ HTTP API | ⚠️⚠️⚠️⚠️ 高 | ⭐⭐⭐ 中等 | 已有 S3Vfs |
| **MinIO** | ✅ 全平台 | ⚠️⚠️ 低 | ⭐⭐⭐⭐⭐ 完全匹配 | 已有 S3Vfs |
| **GlusterFS** | ✅ POSIX | ⚠️⚠️⚠️ 中 | ⭐⭐⭐⭐ 高 | 待研究 |
| **内置分布式** | ✅ 全平台 | ⚠️⚠️ 低 | ⭐⭐⭐⭐⭐ 完全匹配 | 已有基础 |
### 方案 1: MinIO (推荐)
**优势**:
- ✅ S3-compatible API已有 S3Vfs无需新代码
- ✅ 单节点部署(轻量级)
- ✅ 跨平台macOS/Linux/Windows
- ✅ 高性能(纠删码)
- ✅ 开源 + 企业版
**部署**:
```bash
# macOS 单节点
minio server /data --console-address ":9001"
# MarkBase 配置
MB_S3_ENDPOINT=http://localhost:9000
MB_S3_BUCKET=markbase
```
**集成**: 无需修改代码S3Vfs 已支持。
---
### 方案 2: 内置分布式存储
**已有基础**:
| 功能 | 文件 | 分布式潜力 |
|------|------|-----------|
| DedupFs | dedup.rs | ✅ SHA-256 块存储可跨节点共享 |
| RaidFs | raid.rs | ⚠️ 单节点 RAID-Z |
| Send-Receive | send_receive.rs | ⚠️ 类似 ZFS send/receive |
| Checksum | checksum.rs | ✅ 数据完整性验证 |
| Compression | compression.rs | ✅ ZSTD 压缩 |
**扩展方向**:
1. DedupFs + S3Vfs: Dedup 块存储到 MinIO/S3跨节点共享
2. Checksum + Replication: 增加跨节点复制
3. Send-Receive + Remote: 增加远程 replication
---
## Technical Details
### librados API Functions
**Object I/O**:
- `rados_read(ioctx, oid, buf, len, offset)` — Read at offset
- `rados_write(ioctx, oid, buf, len, offset)` — Write at offset
- `rados_write_full(ioctx, oid, buf, len)` — Write entire object
- `rados_append(ioctx, oid, buf, len)` — Append to object
- `rados_stat(ioctx, oid, psize, pmtime)` — Get object size/mtime
- `rados_remove(ioctx, oid)` — Delete object
**Pool Operations**:
- `rados_pool_create(cluster, pool_name)` — Create pool
- `rados_pool_delete(cluster, pool_name)` — Delete pool
- `rados_pool_lookup(cluster, pool_name)` — Find pool ID
- `rados_ioctx_create(cluster, pool_name, ioctx)` — Create I/O context
**Snapshots**:
- `rados_ioctx_snap_create(ioctx, snap_name)` — Create pool snapshot
- `rados_ioctx_snap_list(ioctx, snaps)` — List snapshots
- `rados_ioctx_snap_remove(ioctx, snap_id)` — Delete snapshot
- `rados_ioctx_snap_rollback(ioctx, oid, snap_id)` — Rollback object
**Locking**:
- `rados_lock_exclusive(ioctx, oid, name, cookie, desc, duration, flags)` — Exclusive lock
- `rados_lock_shared(ioctx, oid, name, cookie, tag, desc, duration, flags)` — Shared lock
- `rados_unlock(ioctx, oid, name, cookie)` — Release lock
- `rados_list_lockers(ioctx, oid, name, ...)` — List lock holders
**OMAP (Key-Value)**:
- `rados_omap_set(ioctx, oid, map)` — Set key-value pairs
- `rados_omap_get(ioctx, oid, ...)` — Get values by keys
- `rados_omap_get_keys(ioctx, oid, ...)` — List keys
- `rados_omap_rm_keys(ioctx, oid, keys)` — Delete keys
**Async I/O**:
- `rados_aio_read(ioctx, oid, completion, buf, len, offset)` — Async read
- `rados_aio_write(ioctx, oid, completion, buf, len, offset)` — Async write
- `rados_aio_flush(ioctx)` — Flush pending async ops
- `rados_aio_wait_for_complete(completion)` — Wait for completion
---
## Open Questions
1. **部署目标**: Linux-only production vs macOS development?
2. **Backend choice**: RADOS (librados) vs RGW (S3 API)?
3. **Pool strategy**: Pool-per-share vs single pool + path prefix?
4. **SMB Oplocks**: Should CephVfs support SMB Oplocks via RADOS locking?
5. **Priority**: Start with basic I/O or full async integration first?
---
## Conclusion
**当前搁置 Ceph RADOS 集成**,原因:
1. ❌ Linux-only 约束不符合 macOS 跨平台定位
2. ⚠️ 部署复杂度超出 Lightweight 定位
3. ⚠️ 需要完整 Ceph 集群Monitor + OSD + MGR
**推荐替代方案**
1. ⭐⭐⭐⭐⭐ **MinIO** — S3-compatible已有 S3Vfs轻量级
2. ⭐⭐⭐⭐⭐ **内置分布式** — DedupFs + S3Vfs 组合
**后续行动**
- MinIO 集成文档0 行代码)
- DedupFs + S3Vfs 组合研究(~100 行)
- 内置 Replication 功能(~400 行)
---
**文档创建**: 2026-06-25
**最后更新**: 2026-06-25

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# DedupFs + S3Vfs Combination Design
**Date**: 2026-06-25
**Status**: Design proposal
**Goal**: Distributed deduplication storage via MinIO/S3 backend
---
## Executive Summary
### Current State
**DedupStore**`dedup.rs`, 224 行):
- 基于**本地文件系统**的 dedup 存储
- SHA-256 块哈希 + 引用计数
- 块存储到本地目录(`store_path/.dedup/`
**问题**
- ❌ 无法跨节点共享 dedup 块
- ❌ 无分布式容错能力
- ❌ 单节点存储限制
### Proposed Solution
**DedupS3Store**
- 块存储到 **MinIO/S3** 对象(跨节点共享)
- 引用计数存储到 S3 object metadata
- Manifest 存储到 S3 对象JSON 格式)
**优势**
- ✅ 跨节点 dedup 共享MinIO 分布式)
- ✅ 自动容错MinIO erasure coding
- ✅ 无单节点限制MinIO 可扩展)
- ✅ 与现有 S3Vfs 集成(无需新 HTTP API
---
## Architecture
```
┌─────────────────────────────────────────────────────────────────────────┐
│ MarkBase Node A │
│ ├── DedupS3Store │
│ │ ├── store_block() → S3 PUT <hash> │
│ │ ├── get_block() → S3 GET <hash> │
│ │ └── dedup_file() → 分块 + S3 PUT + manifest │
│ └───────────────────────────────────────────────────────────────────────┘
│ ↓ │
┌─────────────────────────────────────────────────────────────────────────┐
│ MinIO Cluster (S3-compatible) │
│ ├── Bucket: markbase-dedup │
│ │ ├── Objects: <sha256-hash> (dedup 块) │
│ │ ├── Metadata: x-amz-meta-ref-count (引用计数) │
│ │ └── Manifests: manifests/<file-id>.json │
│ │ │
│ ├── Erasure Coding: EC:2 (自动容错) │
│ ├── Replication: Node A → Node B (DR) │
│ └─────────────────────────────────────────────────────────────────────┘
│ ↓ │
┌─────────────────────────────────────────────────────────────────────────┐
│ MarkBase Node B │
│ ├── DedupS3Store │
│ │ ├── get_block() → S3 GET <hash> (共享 Node A 的块) │
│ │ └── restore_file() → S3 GET manifest + S3 GET blocks │
│ └─────────────────────────────────────────────────────────────────────┘
```
---
## Implementation Design
### DedupS3Store Struct
```rust
pub struct DedupS3Store {
s3vfs: S3Vfs, // S3 backend
bucket: String, // Bucket name (markbase-dedup)
block_prefix: String, // Object key prefix (blocks/)
manifest_prefix: String, // Manifest prefix (manifests/)
config: VfsDedupConfig, // block_size, min_file_size
}
pub struct DedupManifest {
original_size: usize,
block_hashes: Vec<String>,
dedup_ratio: f64,
file_id: String, // UUID for manifest storage
}
```
### Core Methods
| Method | Current (LocalFs) | Proposed (S3Vfs) |
|--------|------------------|------------------|
| `store_block(data)` | `std::fs::write(store_path/hash, data)` | `S3Vfs.put_object(blocks/hash, data)` |
| `get_block(hash)` | `std::fs::read(store_path/hash)` | `S3Vfs.get_object(blocks/hash)` |
| `increment_ref(hash)` | `std::fs::write(hash.ref, count)` | `S3Vfs.put_object(blocks/hash, data) + metadata update` |
| `decrement_ref(hash)` | `std::fs::write/remove` | `S3Vfs.delete_object + metadata check` |
| `dedup_file(source)` | Local file read + block store | Local file read + S3 PUT blocks |
| `restore_file(manifest)` | Local file write + block read | Local file write + S3 GET blocks |
| `get_ref_count(hash)` | `std::fs::read(hash.ref)` | `S3Vfs.head_object(blocks/hash) → metadata` |
---
## S3 Object Layout
```
Bucket: markbase-dedup
├── blocks/
│ ├── <sha256-hash-1> # Dedup 块4KB
│ │ └── Metadata: x-amz-meta-ref-count: 5
│ ├── <sha256-hash-2>
│ │ └── Metadata: x-amz-meta-ref-count: 2
│ └── ...
├── manifests/
│ ├── <file-id-1>.json # Manifest JSON
│ │ └── Content: {"original_size": 1024, "block_hashes": [...], ...}
│ ├── <file-id-2>.json
│ └── ...
└── stats.json # DedupStats可选
```
---
## Reference Count Management
### Challenge
S3 对象不支持 atomic increment/decrement 操作。
### Solution 1: Metadata Update (推荐 ⭐⭐⭐⭐⭐)
**流程**
```rust
fn increment_ref(&self, hash: &str) -> Result<(), VfsError> {
// 1. GET current metadata
let head = self.s3vfs.head_object(&format!("blocks/{}", hash))?;
let current_ref = head.metadata.get("x-amz-meta-ref-count")
.and_then(|v| v.parse::<u64>().ok())
.unwrap_or(0);
// 2. PUT with updated metadata
let block_data = self.s3vfs.get_object(&format!("blocks/{}", hash))?;
self.s3vfs.put_object_with_metadata(
&format!("blocks/{}", hash),
&block_data,
[("x-amz-meta-ref-count", (current_ref + 1).to_string())]
)?;
Ok(())
}
```
**优势**
- ✅ 简单实现
- ✅ 与 S3 标准兼容
- ⚠️ 需要两次请求GET + PUT
**劣势**
- ⚠️ 非原子操作(并发问题)
- ⚠️ 需要读取块数据PUT 需要 body
---
### Solution 2: Separate Ref Count Object
**流程**
```rust
fn increment_ref(&self, hash: &str) -> Result<(), VfsError> {
// 1. GET ref count object
let ref_key = format!("refs/{}/count", hash);
let current = self.s3vfs.get_object(&ref_key)
.and_then(|data| data.parse::<u64>())
.unwrap_or(0);
// 2. PUT updated ref count
self.s3vfs.put_object(&ref_key, (current + 1).to_string())?;
Ok(())
}
```
**优势**
- ✅ 无需读取块数据
- ✅ 更小的对象(仅数字)
**劣势**
- ⚠️ 需要额外对象存储
- ⚠️ 非原子操作(并发问题)
---
### Solution 3: MinIO Extended API (企业版)
MinIO 企业版提供 `mc admin bucket policy` 和 object locking API。
**优势**
- ✅ 可能提供 atomic operation
**劣势**
- ⚠️ 仅 MinIO 企业版
- ⚠️ 需要研究具体 API
---
## Concurrency Problem
### Scenario
Node A 和 Node B 同时 dedup 相同文件:
1. Node A: `increment_ref(hash-abc)` → GET count=2 → PUT count=3
2. Node B: `increment_ref(hash-abc)` → GET count=2 → PUT count=3
3. 结果count=3错误应为 count=4
### Solution 1: Optimistic Locking
使用 S3 versioning 检测冲突:
```rust
fn increment_ref(&self, hash: &str) -> Result<(), VfsError> {
loop {
// 1. GET current version + metadata
let (version_id, current_ref) = self.get_ref_with_version(hash)?;
// 2. PUT with version check
let result = self.s3vfs.put_object_if_version(
&format!("blocks/{}", hash),
block_data,
(current_ref + 1),
version_id // Only succeed if version unchanged
);
if result.is_ok() {
break;
}
// Retry if version mismatch
}
Ok(())
}
```
**要求**MinIO versioning enabled。
---
### Solution 2: Distributed Lock Service
使用外部分布式锁(如 Redis/Zookeeper
```rust
fn increment_ref(&self, hash: &str) -> Result<(), VfsError> {
// 1. Acquire distributed lock
let lock = self.lock_service.acquire(&format!("lock:{}", hash))?;
// 2. Increment ref count
self.update_ref_count(hash)?;
// 3. Release lock
lock.release();
Ok(())
}
```
**劣势**需要额外服务Redis
---
### Solution 3: Accept Non-Atomic (简化方案)
对于 MarkBase Lightweight 定位:
- ⚠️ 接受非原子操作风险
- ⚠️ 偶尔 ref count 不准确(不影响数据完整性)
- ⚠️ 定期修复scrub job
**推荐**Phase 1 使用 Solution 1Metadata UpdatePhase 2 研究 MinIO versioning。
---
## Implementation Phases
| Phase | Task | Code Lines | Priority | Risk |
|-------|------|------------|----------|------|
| **Phase 1** | DedupS3Store struct + basic I/O | ~300 | P0 | Medium |
| **Phase 2** | Reference count metadata | ~100 | P0 | Medium |
| **Phase 3** | Manifest storage to S3 | ~50 | P1 | Low |
| **Phase 4** | CLI integration | ~100 | P1 | Low |
| **Phase 5** | Async version (DedupAsyncS3Store) | ~200 | P2 | High |
| **Phase 6** | Concurrency fix (versioning) | ~150 | P2 | High |
| **Phase 7** | Performance benchmark | ~100 | P2 | Low |
| **Total** | | **~1000** | | |
---
## DedupS3Store Implementation (Phase 1 Draft)
```rust
use super::s3_fs::S3Vfs;
use super::{VfsDedupConfig, VfsError};
use sha2::{Sha256, Digest};
use std::path::Path;
pub struct DedupS3Store {
s3vfs: S3Vfs,
bucket: String,
block_prefix: String,
manifest_prefix: String,
config: VfsDedupConfig,
}
impl DedupS3Store {
pub fn new(
endpoint: &str,
region: &str,
bucket: &str,
access_key: &str,
secret_key: &str,
config: VfsDedupConfig,
) -> Result<Self, VfsError> {
let s3vfs = S3Vfs::new(endpoint, region, bucket, access_key, secret_key)?;
Ok(Self {
s3vfs,
bucket: bucket.to_string(),
block_prefix: "blocks/".to_string(),
manifest_prefix: "manifests/".to_string(),
config,
})
}
pub fn store_block(&self, data: &[u8]) -> Result<String, VfsError> {
if data.len() > self.config.block_size {
return Err(VfsError::Io(format!("Block size exceeds limit")));
}
let hash = Self::hash_block(data);
let key = format!("{}{}", self.block_prefix, hash);
// Check if block exists
if !self.s3vfs.object_exists(&key)? {
// PUT with initial ref count = 1
self.s3vfs.put_object_with_metadata(
&key,
data,
[("x-amz-meta-ref-count", "1")]
)?;
} else {
// Increment ref count
self.increment_ref(&hash)?;
}
Ok(hash)
}
pub fn get_block(&self, hash: &str) -> Result<Vec<u8>, VfsError> {
let key = format!("{}{}", self.block_prefix, hash);
self.s3vfs.get_object(&key)
}
pub fn increment_ref(&self, hash: &str) -> Result<(), VfsError> {
let key = format!("{}{}", self.block_prefix, hash);
let head = self.s3vfs.head_object(&key)?;
let current_ref = head.metadata
.get("x-amz-meta-ref-count")
.and_then(|v| v.parse::<u64>().ok())
.unwrap_or(1);
// Need to GET block data + PUT with new metadata
let block_data = self.get_block(hash)?;
self.s3vfs.put_object_with_metadata(
&key,
&block_data,
[("x-amz-meta-ref-count", (current_ref + 1).to_string())]
)?;
Ok(())
}
pub fn dedup_file(&self, source: &Path) -> Result<DedupManifest, VfsError> {
let mut file = std::fs::File::open(source)?;
let mut manifest = DedupManifest::new();
let mut buffer = vec![0u8; self.config.block_size];
loop {
let n = file.read(&mut buffer)?;
if n == 0 { break; }
manifest.original_size += n;
let hash = self.store_block(&buffer[..n])?;
manifest.block_hashes.push(hash);
}
// Store manifest to S3
let file_id = uuid::Uuid::new_v4().to_string();
manifest.file_id = file_id;
let manifest_key = format!("{}{}.json", self.manifest_prefix, file_id);
let manifest_json = serde_json::to_string(&manifest)?;
self.s3vfs.put_object(&manifest_key, manifest_json.as_bytes())?;
Ok(manifest)
}
pub fn restore_file(&self, manifest_id: &str, target: &Path) -> Result<(), VfsError> {
let manifest_key = format!("{}{}.json", self.manifest_prefix, manifest_id);
let manifest_json = self.s3vfs.get_object(&manifest_key)?;
let manifest: DedupManifest = serde_json::from_slice(&manifest_json)?;
let mut file = std::fs::File::create(target)?;
for hash in &manifest.block_hashes {
let block = self.get_block(hash)?;
file.write_all(&block)?;
}
Ok(())
}
fn hash_block(data: &[u8]) -> String {
let mut hasher = Sha256::new();
hasher.update(data);
hex::encode(hasher.finalize())
}
}
```
---
## Integration with MarkBase VFS
### Option 1: Standalone DedupS3Store
用户手动创建 DedupS3Store
```bash
# CLI tool
markbase dedup-upload --s3 --s3-endpoint http://localhost:9000 --file /data/large.iso
markbase dedup-download --s3 --manifest-id <uuid> --output /data/restored.iso
```
---
### Option 2: DedupVfsBackend (VfsBackend trait)
创建 VfsBackend wrapper自动 dedup
```rust
pub struct DedupS3Backend {
dedup_store: DedupS3Store,
manifest_dir: PathBuf, // Local cache for manifests
}
impl VfsBackend for DedupS3Backend {
fn open_file(&self, path: &Path, flags: &OpenFlags) -> Result<Box<dyn VfsFile>, VfsError> {
// 1. Read manifest from S3
let manifest = self.load_manifest(path)?;
// 2. DedupS3File (read blocks from S3)
Ok(Box::new(DedupS3File::new(self.dedup_store.clone(), manifest)))
}
fn stat(&self, path: &Path) -> Result<VfsStat, VfsError> {
// Read from manifest metadata
let manifest = self.load_manifest(path)?;
Ok(VfsStat {
size: manifest.original_size,
mtime: manifest.mtime,
...
})
}
fn read_dir(&self, path: &Path) -> Result<Vec<VfsDirEntry>, VfsError> {
// List manifests from S3
self.dedup_store.s3vfs.list_objects(&self.manifest_prefix)
}
}
```
**优势**
- ✅ 透明 dedup用户无需关心
- ✅ 与 SMB/WebDAV/SFTP 无缝集成
---
### Option 3: Hybrid (LocalFs + DedupS3Store)
```rust
pub struct HybridDedupBackend {
local: LocalFs, // Small files (<1MB) 存本地
dedup_s3: DedupS3Store, // Large files (>1MB) dedup to S3
}
impl VfsBackend for HybridDedupBackend {
fn open_file(&self, path: &Path, flags: &OpenFlags) -> Result<Box<dyn VfsFile>, VfsError> {
// Check file size
let stat = self.local.stat(path)?;
if stat.size < self.dedup_s3.config.min_file_size {
// Small file: direct LocalFs
self.local.open_file(path, flags)
} else {
// Large file: dedup to S3
self.dedup_s3.dedup_file(path)?;
self.dedup_s3.open_file_from_manifest(path)
}
}
}
```
**推荐**Option 1Phase 1Option 3Phase 2
---
## Performance Considerations
### Network Latency
| Operation | LocalFs | S3Vfs | Overhead |
|-----------|---------|-------|----------|
| store_block (4KB) | ~0.1ms | ~5-10ms (HTTP) | ~50-100x |
| get_block (4KB) | ~0.1ms | ~5-10ms (HTTP) | ~50-100x |
| dedup_file (100MB) | ~2s (25MB/s) | ~10s (10MB/s) | ~5x |
**缓解方案**
- ✅ Async concurrent upload4-8 并发)
- ✅ ReadCache64MB cache
- ✅ Local cache for hot blocks
---
### Dedup Ratio Impact
| File Type | Dedup Ratio | Network Traffic Saved |
|-----------|-------------|----------------------|
| VM images (similar OS) | ~80% | -80% upload bandwidth |
| Log files (daily) | ~60% | -60% upload bandwidth |
| Unique files (photos) | ~5% | -5% upload bandwidth |
---
## Next Steps
1. **Phase 1 Implementation** (~300 lines)
- `DedupS3Store` struct
- `store_block()` / `get_block()` via S3Vfs
- `increment_ref()` with metadata update
2. **Phase 2 CLI Integration** (~100 lines)
- `markbase dedup-upload --s3`
- `markbase dedup-download --manifest-id`
3. **Phase 3 Performance Test**
- Benchmark dedup_file (100MB)
- Compare LocalFs vs S3Vfs
---
## Open Questions
1. **Concurrency**: Accept non-atomic ref count vs implement versioning?
2. **Backend choice**: Standalone CLI vs VfsBackend integration?
3. **Min versioning**: Should we require MinIO versioning enabled?
4. **Ref count object**: Metadata vs separate object?
5. **Block cache**: Should we cache blocks locally?
---
**文档创建**: 2026-06-25
**最后更新**: 2026-06-25

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# MinIO Integration Guide for MarkBase
**Date**: 2026-06-25
**Status**: Ready for deployment
**Backend**: S3Vfs (已有实现,无需修改代码)
---
## Executive Summary
MinIO 是高性能、S3-compatible 的对象存储服务,完美契合 MarkBase 的定位:
- ✅ 跨平台支持macOS/Linux/Windows
- ✅ 轻量级部署(单节点即可)
- ✅ 已有 S3Vfs 支持(无需修改代码)
- ✅ 高性能(纠删码 + 分布式扩展)
---
## MinIO vs Ceph RADOS Comparison
| Aspect | MinIO | Ceph RADOS |
|--------|-------|------------|
| **Platform** | ✅ 全平台 | ❌ Linux-only |
| **Deployment** | ⚠️⚠️ 单节点即可 | ⚠️⚠️⚠️⚠️⚠️ 需完整集群 |
| **API** | ✅ S3-compatible HTTP | ❌ librados FFI |
| **Code change** | ✅ 0 行(已有 S3Vfs | ❌ ~1350 行 |
| **Positioning** | ⭐⭐⭐⭐⭐ 完全匹配 | ❌ 不符合 Lightweight 定位 |
---
## MinIO Deployment
### macOS 单节点部署
```bash
# 安装 MinIO
brew install minio/stable/minio
# 启动 MinIO server
minio server /path/to/data --console-address ":9001"
# 输出:
# Endpoint: http://192.168.1.100:9000 http://127.0.0.1:9000
# Console: http://192.168.1.100:9001 http://127.0.0.1:9001
# AccessKey: minioadmin
# SecretKey: minioadmin
```
### Linux 生产部署
```bash
# Docker 单节点
docker run -d \
--name minio \
-p 9000:9000 \
-p 9001:9001 \
-v /data/minio:/data \
minio/minio server /data --console-address ":9001"
# 分布式集群4节点
docker run -d \
--name minio \
-p 9000:9000 \
-p 9001:9001 \
-v /data1:/data1 \
-v /data2:/data2 \
minio/minio server http://node1/data1 http://node2/data2 http://node3/data1 http://node4/data2 --console-address ":9001"
```
### Kubernetes 部署(推荐生产)
```yaml
# minio-deployment.yaml
apiVersion: apps/v1
kind: Deployment
metadata:
name: minio
spec:
replicas: 4
selector:
matchLabels:
app: minio
template:
metadata:
labels:
app: minio
spec:
containers:
- name: minio
image: minio/minio:latest
args:
- server
- http://minio-0/data http://minio-1/data http://minio-2/data http://minio-3/data
- --console-address
- ":9001"
ports:
- containerPort: 9000
- containerPort: 9001
volumeMounts:
- name: data
mountPath: /data
volumes:
- name: data
emptyDir: {}
```
---
## MarkBase S3Vfs Integration
### 配置方式
**环境变量**
```bash
export MB_S3_ENDPOINT=http://localhost:9000
export MB_S3_REGION=us-east-1
export MB_S3_BUCKET=markbase
export MB_S3_ACCESS_KEY=minioadmin
export MB_S3_SECRET_KEY=minioadmin
```
**配置文件**`config/s3.toml`
```toml
[s3]
enabled = true
endpoint = "http://localhost:9000"
region = "us-east-1"
bucket = "markbase"
access_key = "minioadmin"
secret_key = "minioadmin"
[s3.webdav]
# WebDAV 使用 S3 后端
enabled = true
user = "demo"
root_prefix = "webdav/"
```
### S3Vfs 使用示例
**WebDAV + MinIO**
```bash
# 启动 WebDAV server使用 MinIO 后端)
cargo run -- webdav-start \
--user demo \
--port 8002 \
--s3 \
--s3-endpoint http://localhost:9000 \
--s3-bucket markbase \
--s3-access-key minioadmin \
--s3-secret-key minioadmin \
--s3-region us-east-1 \
--root webdav/
```
**SMB + MinIO**(通过 VFS backend
```bash
# 启动 SMB server使用 MinIO 后端)
cargo run --features smb-server -- smb-start \
--port 4445 \
--share-name files \
--s3 \
--s3-endpoint http://localhost:9000 \
--s3-bucket markbase \
--s3-access-key minioadmin \
--s3-secret-key minioadmin \
--s3-region us-east-1 \
--root smb/
```
---
## MinIO Bucket Management
### 创建 Bucket
```bash
# 使用 MinIO client (mc)
mc alias set myminio http://localhost:9000 minioadmin minioadmin
mc mb myminio/markbase
# 使用 AWS CLI
aws --endpoint-url http://localhost:9000 s3 mb s3://markbase
```
### 设置 Bucket Policy
```bash
# 公开读取 policy用于 public shares
mc anonymous set download myminio/markbase/public
# 私有 policy默认
mc anonymous set none myminio/markbase/private
```
### 设置 Bucket Quota
```bash
# 设置 quotaMinIO 企业版功能)
mc admin bucket quota myminio/markbase 10GB
```
---
## MinIO Features Relevant to MarkBase
| Feature | Description | MarkBase Use Case |
|---------|-------------|-------------------|
| **Erasure Coding** | 数据冗余(默认 EC:2 | 自动容错,类似 RAID |
| **Versioning** | 对象版本控制 | 可替代 Snapshot 功能 |
| **Bucket Policy** | ACL 管理 | 用户权限控制 |
| **Lifecycle Rules** | 自动过期 | 旧 backup 清理 |
| **Object Lock** | WORM 模式 | 合规性备份保护 |
| **Replication** | 跨站点复制 | Disaster recovery |
### Versioning替代 Snapshot
```bash
# 启用 versioning
mc version enable myminio/markbase
# 列出对象版本
mc ls --versions myminio/markbase/file.txt
# 恢复旧版本
mc cp myminio/markbase/file.txt#version-id myminio/markbase/file.txt
```
### Lifecycle RulesBackup 清理)
```bash
# 设置 30 天后自动删除
mc ilm add myminio/markbase --expire-days 30
```
---
## Performance Optimization
### MinIO 性能参数
```bash
# 高性能配置
minio server /data \
--console-address ":9001" \
--parallel 8 \
--cache /cache:1000
```
### S3Vfs 性能优化
**并发上传**(已在 S3Vfs 实现):
- Multipart upload大于 5MB 自动分片)
- 并发上传分片(默认 4 并发)
**缓存**
- ReadCache: 64MB, 64KB blocks, 5min TTL已在 cache.rs 实现)
- WriteCache: 32MB已在 cache.rs 实现)
---
## Docker Compose Example
```yaml
version: '3'
services:
minio:
image: minio/minio:latest
command: server /data --console-address ":9001"
ports:
- "9000:9000"
- "9001:9001"
volumes:
- minio-data:/data
environment:
- MINIO_ROOT_USER=minioadmin
- MINIO_ROOT_PASSWORD=minioadmin
markbase-webdav:
build: .
command: webdav-start --user demo --port 8002 --s3 --s3-endpoint http://minio:9000 --s3-bucket markbase --s3-access-key minioadmin --s3-secret-key minioadmin
ports:
- "8002:8002"
environment:
- MB_S3_ENDPOINT=http://minio:9000
depends_on:
- minio
volumes:
minio-data:
```
---
## Integration Checklist
| Task | Status | Notes |
|------|--------|-------|
| **MinIO 部署** | ⏳ User action | macOS/Linux/Docker |
| **创建 Bucket** | ⏳ User action | `mc mb myminio/markbase` |
| **S3Vfs 配置** | ✅ 已支持 | 无需修改代码 |
| **WebDAV + S3** | ✅ 已支持 | CLI 参数已实现 |
| **SMB + S3** | ✅ 已支持 | CLI 参数已实现 |
| **SFTP + S3** | ⏳ 待实现 | 需要 SFTP S3 backend |
| **Backup to S3** | ✅ 已支持 | BackupManifest + S3Vfs |
---
## Troubleshooting
### MinIO 连接问题
```bash
# 检查 MinIO status
mc admin info myminio
# 检查 endpoint 连接
curl -I http://localhost:9000/minio/health/live
```
### S3Vfs 错误
**常见错误**
- `VfsError::NotFound` → Bucket 或 object 不存在
- `VfsError::PermissionDenied` → Access key/secret key 错误
- `VfsError::Io("S3 PUT failed: 403")` → Bucket policy 拒绝写入
**调试方法**
```bash
# 查看 MinIO logs
docker logs minio
# 使用 mc 测试
mc cp test.txt myminio/markbase/test.txt
mc ls myminio/markbase/
```
---
## MinIO vs S3Vfs Feature Mapping
| VfsBackend Method | MinIO S3 API | Status |
|-------------------|--------------|--------|
| `read_dir()` | ListObjectsV2 | ✅ |
| `open_file()` | GetObject / PutObject | ✅ |
| `stat()` | HeadObject | ✅ |
| `create_dir()` | PutObject (0-byte) | ✅ |
| `remove_dir()` | DeleteObject | ✅ |
| `remove_file()` | DeleteObject | ✅ |
| `rename()` | CopyObject + DeleteObject | ✅ |
| `exists()` | HeadObject | ✅ |
| `copy()` | CopyObject | ✅ |
| `hard_link()` | CopyObject | ✅ |
| `create_snapshot()` | Versioning | ⚠️ 需启用 versioning |
| `list_snapshots()` | ListObjectVersions | ⚠️ 需实现 |
| `set_quota()` | Bucket quota | ⚠️ MinIO 企业版 |
| `set_acl()` | Bucket policy | ⚠️ 需实现 |
---
## Next Steps
1. **部署 MinIO**(用户 action
- macOS: `brew install minio && minio server /data`
- Docker: `docker run minio/minio server /data`
2. **创建 Bucket**(用户 action
- `mc alias set myminio http://localhost:9000 minioadmin minioadmin`
- `mc mb myminio/markbase`
3. **配置 MarkBase**
- 设置 `MB_S3_*` 环境变量
- 或使用 CLI 参数 `--s3 --s3-endpoint ...`
4. **测试连接**
- WebDAV: `curl -X PROPFIND http://localhost:8002/webdav/`
- SMB: `smbclient -p 4445 -L localhost`
---
**文档创建**: 2026-06-25
**最后更新**: 2026-06-25