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- Comment out CORS headers in nginx.conf to fix button input blocking - Add WAL enable job for Jellyfin to resolve database locking issues - Include comprehensive troubleshooting documentation 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
414 lines
11 KiB
Markdown
414 lines
11 KiB
Markdown
# Jellyfin Error Analysis and Recommendations
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## Overview
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Analysis of Jellyfin errors found in the media namespace logs, with recommendations for resolution.
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---
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## Issues Identified
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### 1. **SQLite Database Locking Errors** (CRITICAL)
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**Error Messages:**
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```
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[04:28:37] [ERR] Microsoft.Data.Sqlite.SqliteException (0x80004005): SQLite Error 5: 'database is locked'.
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[09:00:00] [ERR] SQLite Error 5: 'database is locked For more information on this error code see https://www.sqlite.org/rescode.html'.
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```
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**Impact:**
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- Prevents metadata updates during library scans
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- Causes API request failures (GET /Items)
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- Occurs when database optimization runs concurrently with library operations
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**Root Cause:**
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SQLite's default locking mechanism allows only one writer at a time. The errors occur when:
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1. Database optimization task runs (VACUUM operation)
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2. Library scan attempts to update metadata simultaneously
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3. Both operations try to write to the database
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**Frequency:**
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- Database optimization runs approximately every 6 hours
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- Library scans run every 12 hours
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- Conflicts occur when these overlap
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---
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### 2. **Audio Normalization Failures** (MODERATE)
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**Error Message:**
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```
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[04:24:54] [ERR] Emby.Server.Implementations.ScheduledTasks.Tasks.AudioNormalizationTask: Failed to find LUFS value in output
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```
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**Impact:**
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- Audio normalization task cannot measure loudness
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- Prevents automatic volume leveling across music library
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- Task completes without performing any normalization
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**Root Cause:**
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The LUFS (Loudness Units relative to Full Scale) detection failure suggests:
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1. FFmpeg may be missing required audio analysis filters
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2. Audio files may have incompatible formats
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3. FFmpeg output parsing may be failing
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**Frequency:**
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- Runs daily at 04:24 (during scheduled tasks)
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- Consistently fails to find LUFS values
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---
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### 3. **Library Folder Warnings** (LOW PRIORITY)
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**Warning Messages:**
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```
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[04:25:47] [WRN] Library folder /ebooks is inaccessible or empty, skipping
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[04:25:47] [WRN] Library folder /config/data/playlists is inaccessible or empty, skipping
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```
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**Impact:**
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- Minimal - warnings only
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- No functional issues if these folders are intentionally empty
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- Causes log noise
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**Root Cause:**
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- Library folders are configured but:
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- `/ebooks` folder doesn't exist or is empty
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- `/config/data/playlists` folder is empty
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- Jellyfin skips these during library scans
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---
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## Recommendations
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### Priority 1: Fix Database Locking Issues
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#### Option A: Enable WAL Mode (RECOMMENDED)
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WAL (Write-Ahead Logging) mode allows concurrent readers during writes, reducing lock contention.
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**Implementation:**
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1. **Create a job to enable WAL mode:**
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Create file: `/storage/emulated/0/Download/nv/jellyfin-wal-enable.yaml`
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```yaml
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apiVersion: batch/v1
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kind: Job
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metadata:
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name: jellyfin-enable-wal
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namespace: media
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spec:
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ttlSecondsAfterFinished: 600
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template:
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spec:
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restartPolicy: Never
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containers:
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- name: enable-wal
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image: alpine:latest
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command:
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- sh
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- -c
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- |
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apk add --no-cache sqlite
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echo "Enabling WAL mode on jellyfin.db..."
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sqlite3 /config/data/jellyfin.db "PRAGMA journal_mode=WAL;"
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echo "Verifying WAL mode..."
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sqlite3 /config/data/jellyfin.db "PRAGMA journal_mode;"
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echo "Done!"
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volumeMounts:
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- name: jellyfin-data
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mountPath: /config
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volumes:
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- name: jellyfin-data
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persistentVolumeClaim:
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claimName: jellyfin-config
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```
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**Benefits:**
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- Multiple readers can access database during writes
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- Reduces lock contention significantly
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- Better performance under concurrent load
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- Industry standard for high-concurrency SQLite
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**Caveats:**
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- Creates additional files (`jellyfin.db-wal`, `jellyfin.db-shm`)
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- Requires slightly more disk space
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- NFS must support file locking (appears to work based on current setup)
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---
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#### Option B: Adjust Task Scheduling
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Prevent database optimization and library scans from running simultaneously.
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**Current Schedule:**
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- Library scan: Every 12 hours (04:26, 16:26)
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- Database optimization: Every 6 hours (04:27, 10:28, 16:29)
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**Recommended Change:**
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Modify Jellyfin's scheduled tasks via the web UI:
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1. Go to Dashboard → Scheduled Tasks
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2. Change "Optimize database" to run at different times:
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- Change from every 6 hours to daily at 03:00 (before library scan)
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3. This ensures optimization completes before library scan starts
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**Benefits:**
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- Simple configuration change
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- No code modifications needed
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- Reduces overlap probability
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**Caveats:**
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- Doesn't eliminate all race conditions
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- API requests during optimization can still fail
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- Less robust than WAL mode
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---
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#### Option C: Increase SQLite Timeout
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Configure Jellyfin to wait longer when database is locked.
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**Implementation:**
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Requires adding environment variable to Jellyfin deployment:
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```yaml
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env:
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- name: SQLITE_BUSY_TIMEOUT
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value: "30000" # 30 seconds
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```
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**Note:** This may not be supported by Jellyfin directly. WAL mode is preferred.
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---
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### Priority 2: Fix Audio Normalization
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#### Diagnosis Steps:
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1. **Check FFmpeg capabilities:**
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```bash
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kubectl exec -n media deployment/jellyfin -- ffmpeg -filters 2>&1 | grep -E "(loudnorm|ebur128)"
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```
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2. **Test LUFS detection manually:**
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```bash
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kubectl exec -n media deployment/jellyfin -- ffmpeg -i /music/sample.mp3 -af loudnorm=print_format=json -f null - 2>&1
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```
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Expected output should include:
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```json
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{
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"input_i": "-23.0",
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"input_tp": "-5.0",
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"input_lra": "7.0",
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"input_thresh": "-33.5",
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"target_offset": "0.0"
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}
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```
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#### Solution Options:
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**If filters are missing:**
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- Jellyfin's FFmpeg build may lack audio normalization filters
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- Solution: Disable audio normalization task in Jellyfin (Dashboard → Scheduled Tasks)
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**If filters exist but fail:**
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- Some audio files may have incompatible formats
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- Solution: Check task logs for specific files causing issues
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**To disable audio normalization:**
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1. Go to Dashboard → Scheduled Tasks
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2. Find "Audio Normalization"
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3. Click on it and disable the task
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4. This is acceptable - normalization is optional for most users
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---
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### Priority 3: Clean Up Library Warnings
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#### Option A: Remove Empty Library Folders
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If you don't use ebooks or playlists:
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1. Go to Dashboard → Libraries
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2. Remove the "ebooks" library if it exists
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3. The playlists folder is auto-created and can be ignored
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#### Option B: Create the Folders
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If you plan to use these features:
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```bash
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kubectl exec -n media deployment/jellyfin -- mkdir -p /ebooks
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kubectl exec -n media deployment/jellyfin -- mkdir -p /config/data/playlists
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```
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---
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## Implementation Plan
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### Step 1: Enable WAL Mode (RECOMMENDED)
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This will resolve the critical database locking issues.
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```bash
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# Apply the WAL enable job
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kubectl apply -f jellyfin-wal-enable.yaml
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# Wait for completion
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kubectl wait --for=condition=complete --timeout=300s job/jellyfin-enable-wal -n media
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# Check logs
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kubectl logs -n media job/jellyfin-enable-wal
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# Restart Jellyfin to ensure WAL mode is active
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kubectl rollout restart deployment/jellyfin -n media
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```
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### Step 2: Disable Audio Normalization (OPTIONAL)
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Via Jellyfin Web UI:
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1. Navigate to https://jellyfin.caffeinetux.com/web/index.html#!/scheduledtasks.html
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2. Find "Audio Normalization"
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3. Click "Disable"
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### Step 3: Monitor Logs
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After implementing WAL mode:
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```bash
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# Watch for database lock errors (should disappear)
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kubectl logs -n media deployment/jellyfin -f | grep "database is locked"
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# Check if WAL mode is active
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kubectl exec -n media deployment/jellyfin -- sqlite3 /config/data/jellyfin.db "PRAGMA journal_mode;"
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# Should output: wal
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```
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---
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## Performance Impact Analysis
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### Current Issues:
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- Database locks during library scans (2+ minutes)
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- Failed API requests during optimization
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- Metadata updates delayed or skipped
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### After WAL Mode:
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- ✅ Concurrent reads during writes
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- ✅ API requests succeed during optimization
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- ✅ Faster metadata updates
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- ✅ Better overall responsiveness
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### Trade-offs:
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- Slightly more disk space (typically <10% of DB size)
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- Additional files in config directory
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- Minimal performance overhead (usually net positive)
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---
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## Additional Recommendations
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### 1. Database Optimization Frequency
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Current: Every 6 hours may be excessive
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**Recommendation:** Change to once daily at 03:00
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Benefits:
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- Reduces I/O load on NFS
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- Less frequent database locks
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- Sufficient for most libraries
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### 2. Library Scan Optimization
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**Current behavior:**
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- Full library scan every 12 hours
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- Stops directory watching during scan
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**Recommendation:**
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- Keep 12-hour schedule for now
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- Monitor scan duration (currently 2-5 minutes)
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- If scans take too long, consider:
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- Increasing interval to 24 hours
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- Using real-time monitoring only
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### 3. NFS Considerations
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Your Jellyfin database is on NFS. WAL mode works with NFS if:
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- ✅ File locking is supported (appears to be working)
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- ✅ NFS client supports mmap operations
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- ⚠️ Network latency is low (check if you experience slowness)
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**If WAL mode causes issues on NFS:**
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- Switch back to DELETE mode: `PRAGMA journal_mode=DELETE;`
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- Consider moving database to local storage (emptyDir volume)
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- Keep media on NFS, database local
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---
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## Monitoring and Validation
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### Success Criteria:
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After implementing WAL mode, verify:
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1. **No more database lock errors:**
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```bash
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kubectl logs -n media deployment/jellyfin --since=24h | grep "database is locked"
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# Should return no results
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```
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2. **WAL mode is active:**
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```bash
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kubectl exec -n media deployment/jellyfin -- sqlite3 /config/data/jellyfin.db "PRAGMA journal_mode;"
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# Should output: wal
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```
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3. **Library scans complete successfully:**
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```bash
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kubectl logs -n media deployment/jellyfin | grep "Scan Media Library Completed"
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# Should show successful completions
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```
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4. **Database optimization runs without conflicts:**
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```bash
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kubectl logs -n media deployment/jellyfin | grep "jellyfin.db optimized successfully"
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# Should show successful optimizations
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```
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---
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## Summary
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### Critical Issues (Fix Now):
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1. **SQLite Database Locking** → Enable WAL mode
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### Optional Improvements:
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2. **Audio Normalization** → Disable if not needed
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3. **Library Warnings** → Remove unused libraries or create folders
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4. **Task Scheduling** → Adjust optimization frequency to daily
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### Expected Outcome:
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- Elimination of database lock errors
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- Smoother library scans
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- Better API responsiveness
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- Cleaner logs
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---
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## Resources
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- [SQLite WAL Mode Documentation](https://www.sqlite.org/wal.html)
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- [Jellyfin Database Documentation](https://jellyfin.org/docs/general/administration/configuration.html)
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- [SQLite Error Codes](https://www.sqlite.org/rescode.html)
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---
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**Analysis Date:** 2025-11-22
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**Jellyfin Namespace:** media
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**Database Location:** /config/data/jellyfin.db (NFS-backed PVC)
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