Common Errors

Jobs Stuck in ENCODING (Orphaned Jobs)

Symptom

Jobs remain in ENCODING status after system restart or crash. Progress bar frozen at last checkpoint.

Cause

Worker process terminated unexpectedly before updating job status to COMPLETED or FAILED. Common scenarios:

System reboot during encoding
Docker container killed
Out-of-memory (OOM) kill
Power loss

Fix

Automatic (On Startup)
Manual Reset (UI)
Database Query (Advanced)

BitBonsai automatically recovers orphaned jobs on backend startup:

[INFO] Found 3 orphaned jobs in ENCODING state
[INFO] Resetting to QUEUED for retry

No action needed. Jobs will restart from beginning on next queue cycle.Verify recovery in logs:

docker compose logs bitbonsai-backend | grep -i orphan

If automatic recovery doesn’t trigger:

Navigate to Jobs page
Filter by status: ENCODING
Select stuck jobs (checkbox)
Click Actions → Reset to Queued

Jobs will restart immediately if workers are available.

Manually reset via SQL:

docker compose exec postgres psql -U bitbonsai -d bitbonsai

-- View stuck jobs
SELECT id, "originalPath", status, "updatedAt"
FROM "EncodingJob"
WHERE status = 'ENCODING'
ORDER BY "updatedAt" ASC;

-- Reset to QUEUED (only if updatedAt > 1 hour ago)
UPDATE "EncodingJob"
SET status = 'QUEUED', progress = 0, "assignedNodeId" = NULL
WHERE status = 'ENCODING'
AND "updatedAt" < NOW() - INTERVAL '1 hour';

The Stuck Job Watchdog (if enabled) automatically detects jobs with no progress updates for 30+ minutes and resets them.

NFS Mount Not Found (Child Nodes)

Symptom

Child node logs show:

[ERROR] Failed to detect temp file after 10 retries
[ERROR] ENOENT: no such file or directory

Cause

Worker node cannot access shared storage via NFS mount. Common reasons:

NFS server is down
Export path not configured correctly
Network connectivity issue
Mount point not created

Fix

Verify NFS Server Running

On the main node (Unraid):

# Check NFS service status
systemctl status nfs-server

# If stopped, start it
systemctl start nfs-server

Check NFS Exports

Verify shared directories are exported:

# View active exports
exportfs -v

# Should show something like:
# /mnt/user/bitbonsai  192.168.1.0/24(rw,sync,no_subtree_check)

If missing, add to /etc/exports:

/mnt/user/bitbonsai 192.168.1.0/24(rw,sync,no_subtree_check,no_root_squash)

Then reload:

exportfs -ra

Test Mount Manually

On the child node (worker):

# Create mount point if missing
mkdir -p /mnt/bitbonsai

# Test mount
mount -t nfs 192.168.1.100:/mnt/user/bitbonsai /mnt/bitbonsai

# Verify access
ls -la /mnt/bitbonsai
touch /mnt/bitbonsai/test.txt
rm /mnt/bitbonsai/test.txt

If mount fails, check network connectivity:

ping 192.168.1.100
showmount -e 192.168.1.100

Check Firewall Rules

NFS requires these ports open on the main node:

TCP/UDP 2049 (NFS)
TCP/UDP 111 (portmapper)

On Unraid, check firewall settings or disable temporarily to test.

Restart Worker Service

After fixing mount issues:

# On child node
systemctl restart bitbonsai-backend
journalctl -u bitbonsai-backend -f

BitBonsai retries temp file detection 10 times with 2-second delays. If NFS mount is slow to come up after boot, increase retry count in encoding-processor.service.ts.

Health Check Failures (CORRUPTED Jobs)

Symptom

Jobs complete encoding but marked as CORRUPTED instead of COMPLETED. Error in logs:

[ERROR] Health check failed after 5 retries
[ERROR] FFprobe validation failed: Invalid data found when processing input

Cause

Post-encoding validation detected issues:

Output file corrupted during encoding
File moved/deleted during health check
NFS network interruption during validation
FFprobe timeout or crash

Fix

Verify File Integrity

Check if output file actually exists and is playable:

# Find the encoded file path (check job details in UI)
FILE="/path/to/encoded/video.mkv"

# Check file size (should be > 0)
ls -lh "$FILE"

# Test with FFprobe
ffprobe -v error "$FILE" 2>&1

# Test playback (if ffmpeg available)
ffmpeg -v error -i "$FILE" -f null - 2>&1

If file is valid, this is a false positive health check failure.

Manual Re-validation

Trigger health check retry:

Navigate to Jobs page → Filter by CORRUPTED
Select job(s)
Click Actions → Re-validate Health

Or via API:

curl -X POST http://localhost:3100/api/jobs/{jobId}/revalidate

Automatic Hourly Retry

BitBonsai automatically re-checks CORRUPTED jobs every hour:

[INFO] Health Check Cron: Re-validating 12 CORRUPTED jobs
[INFO] Job 456: Health check now PASSED, marking COMPLETED

Check logs to confirm auto-recovery:

docker compose logs bitbonsai-backend | grep "Health Check Cron"

Increase Retry Threshold (If Persistent)

If health checks consistently fail on slow storage:Edit apps/backend/src/queue/health-check.worker.ts:

// Increase from 5 to 10 retries
const MAX_RETRIES = 10;
const RETRY_DELAY_MS = 3000; // 3 seconds

Rebuild and redeploy backend container.

Do NOT blindly mark CORRUPTED jobs as COMPLETED without validation. Verify file integrity first to avoid data loss.

Child Node Disconnected (Network Issues)

Symptom

Child node shows as OFFLINE or DISCONNECTED in UI. Worker logs show:

[ERROR] Failed to connect to main node API
[ERROR] ECONNREFUSED 192.168.1.100:3100

Cause

Worker node cannot reach main node API. Common reasons:

Network connectivity issue
Firewall blocking port 3100
Main node backend service down
Invalid API key configuration

Fix

Verify Network Connectivity

On child node:

# Test ping
ping -c 3 192.168.1.100

# Test port connectivity
nc -zv 192.168.1.100 3100
# Should show: Connection succeeded

# Test HTTP access
curl -v http://192.168.1.100:3100/health
# Should return: {"status":"ok"}

Check Firewall Rules

On main node, ensure port 3100 is open:

# Check listening ports
netstat -tlnp | grep 3100

# Unraid: Check Docker network settings
docker network inspect bridge

# Allow port in firewall (if applicable)
ufw allow 3100/tcp

Verify Main Node Backend Running

# Check container status
docker compose ps bitbonsai-backend

# View logs for errors
docker compose logs bitbonsai-backend

# Restart if needed
docker compose restart bitbonsai-backend

Validate API Key Configuration

Worker nodes must provide valid API key to connect:On child node, check environment variables:

cat /etc/systemd/system/bitbonsai-backend.service

# Should contain:
Environment="MAIN_NODE_URL=http://192.168.1.100:3100"
Environment="NODE_API_KEY=your-api-key-here"

Verify API key matches main node configuration:

# On main node
docker compose exec bitbonsai-backend env | grep NODE_API_KEY

Update child node config if needed:

systemctl edit bitbonsai-backend
# Add/update environment variables
systemctl daemon-reload
systemctl restart bitbonsai-backend

Child nodes in OFFLINE state won’t receive job assignments. Fix connectivity issues promptly to avoid job queue buildup.

Frontend Can't Connect to Backend

Symptom

Web UI shows loading spinner indefinitely or displays:

Failed to connect to API
ERR_CONNECTION_REFUSED

Cause

Frontend cannot reach backend API. Possible reasons:

Backend container not running
Port 3100 not exposed
Incorrect API_URL environment variable
CORS configuration issue (if accessing from different origin)

Fix

Verify Backend Container Running

docker compose ps bitbonsai-backend

# Should show: Up (healthy)

# Check logs for startup errors
docker compose logs bitbonsai-backend | tail -50

If not running:

docker compose up -d bitbonsai-backend

Test Backend API Directly

# From host machine
curl http://localhost:3100/health

# Should return: {"status":"ok"}

# If failed, check port mapping
docker compose ps bitbonsai-backend
# Ports should show: 0.0.0.0:3100->3100/tcp

Check API_URL Configuration

Verify frontend knows where to find backend:

docker compose exec bitbonsai-frontend env | grep API_URL

# Should be:
# API_URL=http://bitbonsai-backend:3100  (internal Docker network)
# OR
# API_URL=http://localhost:3100  (if accessing from outside)

Update docker-compose.yml if incorrect:

bitbonsai-frontend:
  environment:
    API_URL: http://bitbonsai-backend:3100

Restart:

docker compose restart bitbonsai-frontend

Verify Browser Network Tab

Open browser DevTools (F12) → Network tab:

Refresh BitBonsai UI
Look for failed API requests
Check request URL matches backend address
Check for CORS errors in console

Common fixes:

Wrong URL: Update API_URL environment variable
CORS error: Add your frontend origin to backend CORS config
ERR_CONNECTION_REFUSED: Backend not accessible from browser’s network

If accessing BitBonsai from a different machine, use http://[server-ip]:4210 and ensure API_URL is set to http://[server-ip]:3100.

Database Connection Refused

Symptom

Backend logs show:

[ERROR] Database connection failed
[ERROR] ECONNREFUSED 127.0.0.1:5432

Cause

Backend cannot connect to PostgreSQL database. Possible reasons:

PostgreSQL container not running
Incorrect DATABASE_URL connection string
Database initialization not complete
Network issue between containers

Fix

Check PostgreSQL Container Health

docker compose ps postgres

# Should show: Up (healthy)

# Check logs for errors
docker compose logs postgres | tail -50

If not healthy:

docker compose restart postgres

# Wait for health check to pass
docker compose exec postgres pg_isready -U bitbonsai

Verify DATABASE_URL Correct

Check backend environment:

docker compose exec bitbonsai-backend env | grep DATABASE_URL

# Should be:
# DATABASE_URL=postgresql://bitbonsai:password@postgres:5432/bitbonsai

Common mistakes:

Hostname: postgres (Docker service name), NOT localhost
Password: Must match POSTGRES_PASSWORD in postgres service
Port: 5432 (internal Docker network port)

Update docker-compose.yml if incorrect:

bitbonsai-backend:
  environment:
    DATABASE_URL: postgresql://bitbonsai:changeme@postgres:5432/bitbonsai

Restart:

docker compose restart bitbonsai-backend

Test Database Connection Manually

# Connect to database
docker compose exec postgres psql -U bitbonsai -d bitbonsai

# Run test query
SELECT COUNT(*) FROM "EncodingJob";

# Exit
\q

If connection fails:

Check credentials match POSTGRES_USER and POSTGRES_PASSWORD
Verify database bitbonsai exists: \l in psql

Recreate Database (Last Resort)

This will delete all data. Backup first if needed.

# Backup current database
docker compose exec postgres pg_dump -U bitbonsai bitbonsai > backup.sql

# Stop services
docker compose down

# Remove database volume
docker volume rm bitbonsai_postgres-data

# Start fresh
docker compose up -d

Backend will automatically apply migrations on startup.

Out of Disk Space During Encoding

Symptom

Encoding fails with:

[ERROR] FFmpeg error: No space left on device
[ERROR] Failed to write output file

Cause

Temporary directory ran out of space during encoding. FFmpeg creates temporary files that can be 1-2× original video size before final compression.

Fix

Check Available Space

# Check temp directory usage
df -h /path/to/temp

# Check size of temp files
du -sh /path/to/temp/bitbonsai/*

# Find largest files
find /path/to/temp -type f -exec du -h {} + | sort -rh | head -10

Clear Old Temporary Files

# BitBonsai should auto-clean, but manual cleanup if needed:
docker compose exec bitbonsai-backend rm -rf /tmp/bitbonsai/*

# OR from host (if mounted)
rm -rf /path/to/temp/bitbonsai/*

Only clear temp files when no jobs are actively encoding. Check Jobs page first.

Reduce Concurrent Jobs

Lower parallel job limit to reduce temp space usage:

Navigate to Settings → Encoding
Set Max Concurrent Jobs to lower value (e.g., 1-2 instead of 4)
Save settings

This reduces temp space requirements but slows overall throughput.

Increase Temp Directory Size

Expand temp storage capacity:Option 1: Move to larger partition

# In docker-compose.yml
bitbonsai-backend:
  volumes:
    - /mnt/larger-disk/bitbonsai-temp:/tmp/bitbonsai

Option 2: Add more disk space to existing partition

Expand virtual disk (if VM/LXC)
Add physical disk and extend volume group
Clean up other files on same partition

Enable Two-Pass Encoding (Smaller Temps)

Two-pass encoding uses less temp space:In Settings → Encoding Presets, use presets with:

Lower CRF values (e.g., CRF 23 instead of 18)
Slower presets (e.g., medium instead of fast)

Trade-off: Slower encoding speed for less temp space.

Minimum free space formula: Free Space = (Largest Video × 2) × Concurrent JobsExample: 50GB video, 4 concurrent jobs = 400GB minimum

Temp File Detection Failed (10 Retries)

Symptom

Encoding starts but immediately fails with:

[ERROR] Temp file not detected after 10 retries
[ERROR] Expected: /tmp/bitbonsai/encoding-123/temp.mkv

Cause

FFmpeg couldn’t create temporary file or BitBonsai couldn’t detect it. Possible reasons:

NFS mount delay (file created but not visible yet)
Insufficient disk space
Permission issues on temp directory
Slow storage (HDD instead of SSD)

Fix

Check Disk Space

Verify temp directory has sufficient free space:

# On worker node
df -h /tmp/bitbonsai

# Should have 2× largest video file size available
# Example: If encoding 50GB file, need 100GB+ free

If low on space:

Clear old temp files: rm -rf /tmp/bitbonsai/*
Reduce concurrent jobs (fewer jobs = less temp space used)
Move temp directory to larger partition

Verify Permissions

Check temp directory is writable:

# On worker node
ls -ld /tmp/bitbonsai

# Should be: drwxrwxrwx or owned by container user

# Test write access
touch /tmp/bitbonsai/test.txt
rm /tmp/bitbonsai/test.txt

Fix permissions:

chmod 777 /tmp/bitbonsai
# OR set ownership to container user (e.g., UID 1000)
chown -R 1000:1000 /tmp/bitbonsai

Check NFS Mount Status

If using NFS shared storage:

# Verify mount active
mount | grep bitbonsai

# Test write latency
time dd if=/dev/zero of=/mnt/bitbonsai/test bs=1M count=100
rm /mnt/bitbonsai/test

# High latency (>500ms) indicates network issues

Increase Retry Delays (Advanced)

For slow NFS mounts, increase detection retries:Edit apps/backend/src/encoding/encoding-processor.service.ts:

const MAX_RETRIES = 20; // Increase from 10
const RETRY_DELAY_MS = 3000; // 3 seconds instead of 2

Rebuild backend container.

Use local SSD/NVMe for /tmp/bitbonsai instead of NFS for better performance and reliability.

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User Guide

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