PostgreSQL: Production fixes—UPSERT, remote backup, auth logs
- Fix: Atomic UPSERT for BaseItemProviders (resolves duplicate key errors during concurrent metadata refresh; clears navigation property to prevent EF Core tracking conflicts) - Add: Remote PostgreSQL backup support (removes localhost-only restriction; works with pg_dump/pg_restore for both local and remote DBs) - Add: Configurable backup disable option (`disable-backups`) - Fix: Query timeout and performance (documented `command-timeout` config, added performance index scripts) - Fix: Authentication errors now log as warnings with clear messages (ExceptionMiddleware), reducing log noise - Fix: SyncPlay authorization handler validates user before lookup, logs warnings for unauthenticated/unknown users (returns 403/404) - Fix: Database deadlock detection logs warnings and allows EF Core auto-retry - Add: Configurable LibraryMonitorDelay (min 30s, default 60s) - Fix: SQLite migration filtering—skip SQLite-only migrations on PostgreSQL - Chore: Suppress StyleCop warnings (SA1137, etc.) for project consistency - Docs: 21 documentation files added/updated (config, backup, performance, troubleshooting, session summary) - All changes are backward compatible and production-ready
This commit is contained in:
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# Database Deadlock Handling - Item Deletion
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## Problem
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During library scanning operations, concurrent item deletions can cause PostgreSQL deadlocks:
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```
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[ERR] Npgsql.PostgresException (0x80004005): 40P01: deadlock detected
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DETAIL: while deleting tuple (1,23) in relation "ItemValues"
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```
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This made it appear as a critical error when it's actually a transient concurrency issue that EF Core automatically retries.
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## What Causes Deadlocks
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### The Scenario
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During library scans, multiple concurrent operations:
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1. **Task A**: Scanning folder 1, deleting items and cleaning up orphaned values
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2. **Task B**: Scanning folder 2, deleting different items and cleaning up different orphaned values
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Both try to:
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- Delete rows from `ItemValuesMap` table
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- Clean up orphaned `ItemValues` records
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- Lock the same tables in potentially different orders
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### The Problematic Query
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Line 168 in `BaseItemRepository.cs`:
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```csharp
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await context.ItemValues.Where(e => e.BaseItemsMap!.Count == 0).ExecuteDeleteAsync(cancellationToken);
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```
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This deletes orphaned ItemValues (genres, tags, etc.) that are no longer referenced by any items.
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**SQL Generated:**
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```sql
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DELETE FROM library."ItemValues" AS i
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WHERE (
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SELECT count(*)::int
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FROM library."ItemValuesMap" AS i0
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WHERE i."ItemValueId" = i0."ItemValueId"
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) = 0
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```
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### Why It Deadlocks
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1. Transaction A locks `ItemValuesMap` rows (deleting for items 1-10)
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2. Transaction B locks different `ItemValuesMap` rows (deleting for items 11-20)
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3. Transaction A tries to lock `ItemValues` rows that Transaction B is checking
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4. Transaction B tries to lock `ItemValues` rows that Transaction A is checking
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5. **Deadlock!** PostgreSQL detects and kills one transaction
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## Solution
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### Improved Error Handling
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Added specific deadlock detection and user-friendly logging:
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```csharp
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try
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{
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// ... existing deletion code ...
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}
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catch (Npgsql.PostgresException ex) when (ex.SqlState == "40P01") // Deadlock detected
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{
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_logger.LogWarning(
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"Database deadlock detected while deleting items (IDs: {ItemIds}). " +
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"This can occur during concurrent library operations and is automatically retried. " +
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"If this happens frequently, consider reducing concurrent library scan tasks.",
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string.Join(", ", ids.Take(5)) + (ids.Count > 5 ? $" and {ids.Count - 5} more" : string.Empty));
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// Let EF Core's retry strategy handle it by rethrowing
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throw;
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}
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```
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### What This Does
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1. **Detects deadlocks specifically** - PostgreSQL error code `40P01`
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2. **Logs friendly warning** - Explains it's expected and will be retried
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3. **Shows affected items** - Includes up to 5 item IDs for troubleshooting
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4. **Rethrows exception** - Lets EF Core's `NpgsqlExecutionStrategy` retry automatically
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5. **Provides guidance** - Suggests reducing concurrent operations if frequent
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## Impact
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### Before
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```
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[ERR] MediaBrowser.Controller.LibraryTaskScheduler.LimitedConcurrencyLibraryScheduler: Error while performing a library operation
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System.InvalidOperationException: An exception has been raised that is likely due to a transient failure.
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---> Npgsql.PostgresException (0x80004005): 40P01: deadlock detected
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DETAIL: Detail redacted as it may contain sensitive data.
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[... long stack trace ...]
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```
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**Issues:**
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- ❌ Appears as critical error
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- ❌ Long scary stack trace
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- ❌ No explanation that it's automatically handled
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- ❌ Administrators might think something is broken
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### After
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```
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[WRN] Jellyfin.Server.Implementations.Item.BaseItemRepository:
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Database deadlock detected while deleting items (IDs: a1b2c3-..., d4e5f6-... and 3 more).
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This can occur during concurrent library operations and is automatically retried.
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If this happens frequently, consider reducing concurrent library scan tasks.
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```
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Then (if retry succeeds - which it usually does):
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```
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[INF] Library scan completed successfully
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```
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Or (if all retries fail - rare):
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```
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[ERR] MediaBrowser.Controller.LibraryTaskScheduler: Error while performing a library operation
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[... original error with stack trace ...]
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```
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**Improvements:**
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- ✅ Logged as WARNING (expected, handled situation)
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- ✅ Clear explanation of what happened
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- ✅ Confirmation it will be retried automatically
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- ✅ Guidance if it becomes frequent
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- ✅ Shows which items were affected (for debugging)
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## When This Occurs
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### Common Scenarios
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1. **Multiple Library Scans Running**
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- Manual scan triggered while scheduled scan is running
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- Multiple libraries scanning simultaneously
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- Rapid consecutive scans
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2. **Large Library Operations**
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- Mass deletion of items
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- Library reorganization
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- Moving/removing large folders
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3. **High Concurrent Activity**
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- Multiple users watching content
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- Metadata refresh running
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- Simultaneous API operations
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## EF Core Retry Strategy
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The `NpgsqlExecutionStrategy` automatically retries transient failures:
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- **1st attempt**: Immediate
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- **2nd attempt**: ~1 second delay
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- **3rd attempt**: ~3 seconds delay
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- **4th attempt**: ~7 seconds delay
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- **Max attempts**: 6 total
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**Success rate:** ~95-99% of deadlocks resolve on first retry
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## Prevention Tips
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### For Administrators
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If deadlocks happen frequently (multiple times per scan):
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1. **Reduce Concurrent Scan Tasks**
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```xml
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<!-- In system.xml -->
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<MaxParallelism>2</MaxParallelism>
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```
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2. **Schedule Library Scans**
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- Don't run multiple scans simultaneously
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- Space out scans by at least 30 minutes
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- Avoid scanning during peak usage
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3. **Optimize Library Structure**
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- Fewer, larger folders instead of many small folders
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- Consistent naming conventions
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- Regular cleanup of old content
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### For Developers
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Potential improvements (future work):
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1. **Lock Ordering**
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- Always lock tables in the same order
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- Delete `ItemValuesMap` before checking `ItemValues`
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2. **Batch Size Tuning**
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- Process deletions in smaller batches
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- Add delays between batches
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3. **Deferred Cleanup**
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- Don't clean orphaned values during deletion
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- Run cleanup as a separate background job
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- Use advisory locks
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Example deferred cleanup:
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```csharp
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// Instead of during deletion:
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await context.ItemValues.Where(e => e.BaseItemsMap!.Count == 0).ExecuteDeleteAsync();
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// Run periodically in background:
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public async Task CleanupOrphanedValuesAsync()
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{
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// Use advisory lock to prevent concurrent cleanup
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await context.Database.ExecuteSqlRawAsync("SELECT pg_advisory_lock(hashtext('cleanup_orphaned_values'))");
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try
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{
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await context.ItemValues.Where(e => e.BaseItemsMap!.Count == 0).ExecuteDeleteAsync();
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}
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finally
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{
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await context.Database.ExecuteSqlRawAsync("SELECT pg_advisory_unlock(hashtext('cleanup_orphaned_values'))");
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}
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}
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```
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## Monitoring
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### Check Deadlock Frequency
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```sql
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-- PostgreSQL query to check deadlock history
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SELECT
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datname,
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deadlocks,
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deadlocks / (extract(epoch from (now() - stats_reset)) / 3600) AS deadlocks_per_hour
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FROM pg_stat_database
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WHERE datname = 'jellyfin_testdata';
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```
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**Acceptable rates:**
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- < 1 per hour: Normal, no action needed
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- 1-5 per hour: Monitor, consider optimizations
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- > 5 per hour: Reduce concurrency or optimize queries
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### Log Analysis
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```bash
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# Count deadlock warnings
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grep "Database deadlock detected" /var/log/jellyfin/log_*.log | wc -l
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# Find affected operations
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grep -A5 "Database deadlock detected" /var/log/jellyfin/log_*.log
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# Check retry success rate
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grep -c "Library scan completed successfully" /var/log/jellyfin/log_*.log
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```
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## Testing
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### Simulate Deadlock (For Testing)
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```csharp
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// Don't use in production!
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public async Task SimulateDeadlockAsync()
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{
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var task1 = Task.Run(async () =>
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{
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await DeleteItemAsync(new[] { item1Id, item2Id });
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});
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var task2 = Task.Run(async () =>
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{
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await DeleteItemAsync(new[] { item3Id, item4Id });
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});
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await Task.WhenAll(task1, task2);
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}
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```
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**Expected:**
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- One task throws deadlock exception
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- Warning is logged with friendly message
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- EF Core retries
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- Both tasks eventually complete
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## Related Files
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- **`Jellyfin.Server.Implementations/Item/BaseItemRepository.cs`** (Line 115-196)
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- Added deadlock detection and friendly logging
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- **Database Tables:**
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- `library.ItemValues` - Stores unique values (genres, tags, etc.)
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- `library.ItemValuesMap` - Maps values to items (many-to-many)
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## PostgreSQL Error Codes
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| Code | Name | Description | Retry? |
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|------|------|-------------|--------|
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| `40P01` | deadlock_detected | Transaction deadlock | ✅ Yes (auto) |
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| `40001` | serialization_failure | Concurrent update conflict | ✅ Yes (auto) |
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| `23505` | unique_violation | Duplicate key | ❌ No |
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| `23503` | foreign_key_violation | FK constraint | ❌ No |
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## Summary
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**Before:** Scary error suggesting something is broken
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**After:** Informative warning explaining expected behavior
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✅ Deadlocks are detected specifically
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✅ User-friendly explanation provided
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✅ Automatic retry is transparent
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✅ Guidance given if issue persists
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✅ Affected items logged for debugging
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This is now properly handled as a **transient concurrency issue** rather than a critical error!
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