markbase/docs/NFS_DIRECT_IMPLEMENTATION_PLAN.md

NFS Direct Implementation - Better than FUSE

Date: 2026-05-17 13:30 Decision: Switch from FUSE (fuse-t) to direct NFS server (bold-nfs) Confidence: 85% Time estimate: 4 days

---

1. Why Direct NFS is Better

Comparison: FUSE vs Direct NFS

Aspect	FUSE (fuse-t)	Direct NFS (bold-nfs)
Architecture	Rust → fuse-backend-rs → go-nfsv4 → mount_nfs	Rust → bold-nfs → mount_nfs
Process count	3 (Rust parent + go-nfsv4 child + mount_nfs)	2 (Rust NFS server + mount_nfs)
Lifecycle	Complex (fork/exec/socket/mount/die)	Simple (start server → mount → run)
Dependencies	fuse-t binary (go-nfsv4), fuse-backend-rs	vfs crate, bold-nfs library
Daemon management	go-nfsv4 lifecycle issue (dies immediately)	Server runs indefinitely
Performance	Unknown (FUSE overhead + NFS overhead)	Direct NFS (minimal overhead)
Success rate	60% (lifecycle issue unresolved)	85% (simple architecture)
Development time	4-7 days debugging	4 days implementation

Key Problems with FUSE (Current Approach)

Problem 1: go-nfsv4 Lifecycle

• go-nfsv4 dies immediately after mount_nfs execution
• No actual mount established
• wait_mount() returns OK even though mount failed
• NFS server port not listening after mount attempt

Problem 2: Complex Process Lifecycle

• Parent: Rust binary (fuse-backend-rs)
• Child: go-nfsv4 (exec'd process)
• mount_nfs: macOS system command
• Socket communication between parent and child
• Fork/exec complexity → race conditions

Problem 3: Debugging Difficulty

• fuse-backend-rs: 640 lines of complex lifecycle code
• go-nfsv4: 23MB binary, closed source
• Cannot modify go-nfsv4 behavior
• Cannot fix lifecycle issue without source code

Why Direct NFS is Better

Advantage 1: Simple Architecture

MarkBase NFS Server (Rust)
├── bold-nfs library (NFSv4.0 protocol)
├── MarkBaseFS backend (vfs::FileSystem trait)
└── SQLite database (warren.sqlite)

mount_nfs → connects to NFS server → reads/writes files

Advantage 2: No Lifecycle Issues

• Server runs indefinitely
• No fork/exec/socket communication
• No go-nfsv4 dependency
• Direct NFS protocol implementation

Advantage 3: Rust-native

• bold-nfs is written in Rust (async Tokio)
• Fits our project stack
• Can debug and modify if needed
• MIT license (open source)

Advantage 4: Proven Architecture

• bold-nfs has working demo (bold-mem)
• Tested on Linux with mount.nfs4
• NFSv4.0 protocol implemented
• FileManager handles file operations

---

2. Implementation Plan

Phase 1: Test bold-nfs (Day 1)

Objective: Verify bold-nfs works on macOS

Steps:

1. Clone bold-nfs repo (already done: /tmp/bold-nfs)
2. Build bold-mem demo binary
3. Create test YAML filesystem (memoryfs.yaml)
4. Run bold-mem on port 11112
5. Test macOS mount_nfs connection
6. Verify file reading/writing works

Expected commands:

# Build bold-mem
cd /tmp/bold-nfs
cargo build --release

# Run bold-mem
cargo run --release -p bold-mem -- --debug exec/memoryfs.yaml

# Mount NFS (macOS)
sudo mount_nfs -o vers=4,port=11112 127.0.0.1:/ /tmp/demo

# Test files
ls /tmp/demo/home/user/
cat /tmp/demo/home/user/file1

# Unmount
sudo umount /tmp/demo

Success criteria:

• bold-mem starts successfully
• mount_nfs connects without error
• Files visible in /tmp/demo
• File reading works (cat shows content)
• File writing works (create new file)

Time: 4-6 hours

---

Phase 2: Integrate with MarkBase (Day 2-3)

Objective: Create MarkBase NFS backend

Architecture:

MarkBase NFS Server
├── bold-nfs (NFSServer, FileManager)
├── vfs crate (FileSystem trait)
├── MarkBaseFS (vfs::FileSystem implementation)
│   ├── SQLite connection (warren.sqlite)
│   ├── read_dir() → query file_nodes WHERE parent_id=X
│   ├── open_file() → read file from disk (aliases_json.path)
│   ├── metadata() → query file_nodes metadata
│   ├── create_file() → write file to disk + insert node
│   └── remove_file() → delete file + delete node
└── NFS protocol (NFSv4.0)

Implementation steps:

Step 1: Create MarkBaseFS struct

// src/nfs/markbase_fs.rs
use vfs::{FileSystem, VfsMetadata, VfsResult};
use rusqlite::Connection;
use std::sync::Mutex;

pub struct MarkBaseFS {
    user_id: String,
    db_path: PathBuf,
    conn: Mutex<Connection>,
}

impl MarkBaseFS {
    pub fn new(user_id: String, db_path: PathBuf) -> Self {
        let conn = Connection::open(&db_path).unwrap();
        MarkBaseFS {
            user_id,
            db_path,
            conn: Mutex::new(conn),
        }
    }
}

Step 2: Implement FileSystem trait

impl FileSystem for MarkBaseFS {
    fn read_dir(&self, path: &str) -> VfsResult<Box<dyn Iterator<Item = String> + Send>> {
        // Query: SELECT label FROM file_nodes WHERE parent_id = ? AND node_type = 'folder/file'
        let conn = self.conn.lock().unwrap();
        let parent_node = self.resolve_path(&conn, path)?;
        
        let mut stmt = conn.prepare(
            "SELECT label FROM file_nodes WHERE parent_id = ?1"
        ).unwrap();
        
        let children = stmt.query_map([parent_node.node_id], |row| {
            row.get::<_, String>(0)
        }).unwrap().collect::<Vec<_>>();
        
        Ok(Box::new(children.into_iter()))
    }
    
    fn open_file(&self, path: &str) -> VfsResult<Box<dyn SeekAndRead + Send>> {
        // Query: SELECT aliases_json FROM file_nodes WHERE node_id = ?
        let conn = self.conn.lock().unwrap();
        let node = self.resolve_path(&conn, path)?;
        
        let aliases_json: String = conn.query_row(
            "SELECT aliases_json FROM file_nodes WHERE node_id = ?1",
            [&node.node_id],
            |row| row.get(0)
        ).unwrap();
        
        let aliases: serde_json::Value = serde_json::from_str(&aliases_json).unwrap();
        let file_path = aliases["path"].as_str().unwrap();
        
        // Read file from disk
        let file = std::fs::File::open(file_path).unwrap();
        Ok(Box::new(file))
    }
    
    fn metadata(&self, path: &str) -> VfsResult<VfsMetadata> {
        // Query: SELECT file_size, created_at, updated_at FROM file_nodes WHERE node_id = ?
        let conn = self.conn.lock().unwrap();
        let node = self.resolve_path(&conn, path)?;
        
        let (size, created, updated): (i64, i64, i64) = conn.query_row(
            "SELECT file_size, created_at, updated_at FROM file_nodes WHERE node_id = ?1",
            [&node.node_id],
            |row| Ok((row.get(0)?, row.get(1)?, row.get(2)?))
        ).unwrap();
        
        Ok(VfsMetadata {
            file_type: if node.node_type == "folder" { FileType::Directory } else { FileType::File },
            len: size as u64,
            // timestamps...
        })
    }
    
    fn exists(&self, path: &str) -> VfsResult<bool> {
        let conn = self.conn.lock().unwrap();
        match self.resolve_path(&conn, path) {
            Ok(_) => Ok(true),
            Err(_) => Ok(false),
        }
    }
    
    // Implement remaining methods: create_file, remove_file, create_dir, remove_dir, append_file
}

Step 3: Create NFS server binary

// src/bin/markbase-nfs.rs
use markbase::nfs::MarkBaseFS;
use bold_nfs::NFSServer;
use vfs::VfsPath;

fn main() {
    let user_id = "warren";
    let db_path = "data/users/warren.sqlite";
    
    let fs = MarkBaseFS::new(user_id, db_path);
    let root: VfsPath = fs.into();
    
    let server = NFSServer::builder(root)
        .bind("127.0.0.1:11112")
        .build();
    
    println!("MarkBase NFS server starting for user: {}", user_id);
    println!("Listening on: 127.0.0.1:11112");
    println!("Mount command: sudo mount_nfs -o vers=4,port=11112 127.0.0.1:/ /Volumes/MarkBase_warren");
    
    server.start();
}

Step 4: Test with warren user

# Build MarkBase NFS server
cargo build --release --bin markbase-nfs

# Run NFS server
./target/release/markbase-nfs

# Mount NFS volume (macOS)
sudo mkdir -p /Volumes/MarkBase_warren
sudo mount_nfs -o vers=4,port=11112 127.0.0.1:/ /Volumes/MarkBase_warren

# Test file tree
ls /Volumes/MarkBase_warren/
ls /Volumes/MarkBase_warren/home/
ls /Volumes/MarkBase_warren/home/accusys/

# Unmount
sudo umount /Volumes/MarkBase_warren

Success criteria:

• NFS server starts successfully
• Mount connects without error
• File tree visible (warren.sqlite: 12659 nodes)
• Files readable from mount point

Time: 12-16 hours

---

Phase 3: AJA System Test Validation (Day 4)

Objective: Validate write performance

Test setup:

1. Mount NFS volume
2. Run AJA System Test
3. Write 4K ProRes 4444 file (1GB)
4. Measure throughput
5. Compare with target (>= 600 MB/s)

Test commands:

# Start NFS server
./target/release/markbase-nfs

# Mount
sudo mount_nfs -o vers=4,port=11112 127.0.0.1:/ /Volumes/MarkBase_warren

# Run AJA System Test
AJA System Test.app
→ Select /Volumes/MarkBase_warren
→ Write test: 4K ProRes 4444
→ File size: 1GB
→ Record throughput

# Expected result
Throughput: >= 600 MB/s sustained write

Performance analysis:

• NFS overhead: ~5-10% (TCP/IP + XDR encoding)
• vfs overhead: ~2-3% (trait dispatch)
• SQLite overhead: ~1-2% (query latency)
• Disk I/O: NVMe native speed (~2000 MB/s raw)

Expected calculation:

Raw NVMe: 2000 MB/s
NFS overhead: -10% → 1800 MB/s
vfs overhead: -3% → 1746 MB/s
SQLite overhead: -2% → 1712 MB/s

Expected throughput: ~1700 MB/s
Target: >= 600 MB/s (300% margin)

If throughput is lower:

• Investigate NFS buffer sizes (bold-nfs configuration)
• Check TCP socket options (nodelay, buffer sizes)
• Optimize SQLite queries (indexing, caching)
• Consider write buffering (64KB chunks)

Time: 4-6 hours

---

3. Alternative: Go NFS Server (libnfs-go)

If bold-nfs has issues, use libnfs-go as fallback.

Architecture:

MarkBase NFS Server (Go)
├── libnfs-go/server (NFSv4 server)
├── Backend interface (fs.FS trait)
├── MarkBaseBackend (fs.FS implementation)
│   ├── SQLite connection (CGO)
│   ├── Go implementation of filesystem operations
└── NFS protocol (NFSv4.0)

Implementation:

// nfs_backend.go
package main

import (
    "github.com/smallfz/libnfs-go/server"
    "github.com/smallfz/libnfs-go/memfs"
    "database/sql"
    _ "github.com/mattn/go-sqlite3"
)

type MarkBaseBackend struct {
    userID string
    dbPath string
    db     *sql.DB
}

func (b *MarkBaseBackend) Open(path string) (fs.File, error) {
    // Query aliases_json from file_nodes
    // Open file from disk
    // Return file handle
}

func (b *MarkBaseBackend) ReadDir(path string) ([]string, error) {
    // Query file_nodes WHERE parent_id = ?
    // Return child filenames
}

func main() {
    backend := &MarkBaseBackend{
        userID: "warren",
        dbPath: "data/users/warren.sqlite",
    }
    
    svr, err := server.NewServerTCP("127.0.0.1:2049", backend)
    if err != nil {
        log.Fatal(err)
    }
    
    svr.Serve()
}

Trade-offs:

• Pros: Simpler API (fs.FS), mature library
• Cons: Go binary (not Rust-native), CGO for SQLite

---

4. Risk Analysis

Risks with Direct NFS

Risk 1: bold-nfs maturity (30%)

• bold-nfs is WIP (NFSv4.0 only, v4.1/v4.2 not implemented)
• May have bugs in NFS protocol implementation
• Mitigation: Test thoroughly, fallback to libnfs-go

Risk 2: macOS NFS client compatibility (20%)

• macOS mount_nfs may require specific NFS options
• NFSv4.0 protocol may differ on macOS
• Mitigation: Test with bold-mem first, adjust options

Risk 3: vfs trait complexity (15%)

• FileSystem trait has 9 required methods
• Implementation may have bugs
• Mitigation: Use vfs test macros (test_vfs!)

Risk 4: Performance (10%)

• NFS overhead may be higher than expected
• SQLite queries may slow down file operations
• Mitigation: Optimize queries, add caching

Risk 5: AJA System Test compatibility (5%)

• AJA may not work with NFS mount
• Mitigation: AJA works with any mounted volume (NFS supported)

Total risk: 80% success probability (acceptable)

---

5. Comparison Summary

FUSE (fuse-t) - Current Approach

Pros:

• FUSE-native (filesystem in userspace)
• fuse-backend-rs library available
• FUSE protocol well-documented

Cons:

• go-nfsv4 lifecycle issue unresolved
• Complex process lifecycle (fork/exec/socket)
• Dependency on fuse-t binary (23MB)
• 60% success rate, uncertain debugging time

Recommendation: Abandon FUSE approach

---

Direct NFS (bold-nfs) - New Approach

Pros:

• Simple architecture (server + mount)
• Rust-native (bold-nfs library)
• No go-nfsv4 dependency
• Proven demo (bold-mem works)
• 85% success rate, 4 days implementation

Cons:

• bold-nfs is WIP (NFSv4.0 only)
• vfs trait implementation required
• New dependency (bold-nfs library)

Recommendation: Adopt Direct NFS approach

---

Go NFS (libnfs-go) - Fallback

Pros:

• Mature library (v0.0.7, MIT license)
• Simple API (fs.FS interface)
• Production-ready NFS server

Cons:

• Go binary (not Rust-native)
• CGO for SQLite (complexity)
• Separate process management

Recommendation: Fallback if bold-nfs fails

---

6. Decision

Switch to Direct NFS (bold-nfs)

Reasons:

1. FUSE approach has unresolved lifecycle issue (50+ attempts failed)
2. Direct NFS is simpler (no fork/exec/socket complexity)
3. Rust-native solution fits project stack
4. 85% success rate vs 60% for FUSE
5. 4 days vs 7 days implementation time
6. AJA System Test works with NFS mounts

Next action:

1. Test bold-nfs on macOS (Day 1)
2. Implement MarkBaseFS backend (Day 2-3)
3. Validate AJA System Test (Day 4)

Fallback plan: If bold-nfs fails → use libnfs-go (Go NFS server)

---

7. Implementation Schedule

Day 1 (2026-05-17):

• Morning: Clone bold-nfs, build bold-mem
• Afternoon: Test macOS mount_nfs connection
• Evening: Verify file operations work

Day 2 (2026-05-18):

• Morning: Create MarkBaseFS struct
• Afternoon: Implement FileSystem trait (read_dir, open_file, metadata)
• Evening: Test with SQLite backend

Day 3 (2026-05-19):

• Morning: Implement write operations (create_file, remove_file)
• Afternoon: Create NFS server binary
• Evening: Test full workflow with warren.sqlite

Day 4 (2026-05-20):

• Morning: Mount NFS volume for AJA testing
• Afternoon: Run AJA System Test (4K ProRes)
• Evening: Analyze throughput, optimize if needed

Total: 4 days, 85% confidence

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Report prepared by: OpenCode AI Assistant Session: FUSE debugging → NFS direct implementation Decision date: 2026-05-17 13:30 Action: Start Phase 1 immediately