7eb2b445cb
- Major query performance boost: replaced correlated subqueries with DistinctBy() in BaseItemRepository, added episode deduplication index, and increased default command timeout to 120s. - Fixed LibraryMonitor shutdown race: added disposal checks and exception handling in FileRefresher to prevent ObjectDisposedException. - Added PowerShell and SQL utilities for fixing Linux paths in config files and database; new scripts for WebDir and path migration. - Auto-fix for WebDir in startup.json on load; new helper scripts and docs. - Added automated weekly DB performance monitoring scripts and reporting. - Expanded documentation and README for all fixes, scripts, and migration steps. - Updated SQL scripts for index creation and diagnostics; improved output handling. - Updated db-config defaults and added new diagnostic/report files.
260 lines
7.1 KiB
Markdown
260 lines
7.1 KiB
Markdown
# Performance Monitoring Setup Complete - Summary
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## ✅ All Tasks Completed (March 5, 2026)
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### 1. ✅ Missing Indexes Added
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**Peoples Table:**
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- `idx_peoples_name_lower` (3.3 MB) - Case-insensitive name searches
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- `idx_peoples_id_name` (5.4 MB) - ID+Name combo for joins
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**ItemValues Table:**
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- `idx_itemvalues_cleanvalue` (272 KB) - CleanValue lookups
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- `idx_itemvalues_value` (272 KB) - Value lookups
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- `idx_itemvalues_id_cleanvalue` (688 KB) - Join optimization
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**Status**: Indexes created successfully. Statistics updated with ANALYZE.
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---
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### 2. ✅ Slow Query Analysis Complete
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**🔥 CRITICAL FINDING: 110-Second Query Identified!**
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```
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Query: SELECT b."Id", b."Album", b."AlbumArtists", b."Artists"... (BaseItems)
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Max Time: 110,048 ms (110 seconds!)
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Avg Time: 4,442 ms
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Calls: 48
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Total Impact: 213 seconds cumulative
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Performance Rating: 🔥 CRITICAL
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```
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**Top 5 Slowest Queries:**
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| Query Type | Max Time | Avg Time | Calls | Status |
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|------------|----------|----------|-------|--------|
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| BaseItems SELECT | **110.0s** | 4.4s | 48 | 🔥 CRITICAL |
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| BaseItems SELECT (variant 2) | 36.3s | 3.2s | 76 | ⚠️ SLOW |
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| BaseItems SELECT (variant 3) | 26.1s | 7.9s | 52 | ⚠️ SLOW |
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| UserData UPDATE | 23.9s | 0.1s | 14,316 | ⚠️ SLOW |
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| VACUUM ANALYZE | 21.8s | 21.8s | 1 | ✅ Maintenance |
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**Secondary Issues:**
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- Peoples SELECT: 12.1s max (211,825 calls)
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- BaseItems UPDATE: 9.4s max (406,513 calls)
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**Analysis Report**: `reports/weekly/query_analysis_2026-03-05_080020.txt` (294 KB)
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---
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### 3. ✅ Automated Weekly Monitoring Setup
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**Scripts Created:**
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- ✅ `scripts/Weekly-Performance-Monitor.ps1` - Main monitoring script
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- ✅ `scripts/Setup-Weekly-Monitor.ps1` - Task Scheduler setup
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**Reports Generated:**
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- `diagnostics_2026-03-05_080020.txt` - Database diagnostics
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- `query_analysis_2026-03-05_080020.txt` - **294 KB of slow query analysis**
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- `summary_2026-03-05_080020.txt` - Quick summary
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**Location**: `reports/weekly/`
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**To Schedule Automatically** (run as Administrator):
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```powershell
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.\scripts\Setup-Weekly-Monitor.ps1
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```
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**To Run Manually** (anytime):
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```powershell
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.\scripts\Weekly-Performance-Monitor.ps1
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```
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---
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## 📊 Current Database Performance Status
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### Critical Issues:
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**1. BaseItems Query - 110 Seconds** 🔥
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- SELECT query on BaseItems table taking up to 110 seconds
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- Occurs 48 times with average of 4.4 seconds
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- Total cumulative impact: 3.5 minutes of database time
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- **Needs immediate investigation**
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**2. Peoples Table - 13.7 Billion Rows Read**
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- 144,299 sequential scans
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- 13,726,323,806 rows read (13.7 BILLION!)
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- New indexes added but need 24-48 hours to show impact
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**3. ItemValues Table - 3.7 Billion Rows Read**
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- 506,048 sequential scans
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- 3,725,867,788 rows read (3.7 BILLION!)
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- New indexes added but need monitoring
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---
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## 🎯 Next Steps (Action Plan)
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### Immediate (This Week):
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**1. Investigate the 110-Second Query**
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View the full query:
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```powershell
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. .\scripts\db-config.ps1
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Invoke-PSQL -File "sql\query-analysis.sql" | Select-String -Pattern "110048" -Context 5,10
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```
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Get EXPLAIN ANALYZE for the slow query:
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```powershell
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# After identifying the exact query, run:
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Invoke-PSQL -Query "EXPLAIN (ANALYZE, BUFFERS, VERBOSE) <paste_query_here>"
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```
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**2. Monitor New Index Usage**
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Check if new indexes are being used:
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```powershell
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. .\scripts\db-config.ps1
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Invoke-PSQL -Query @"
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SELECT
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indexrelname,
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idx_scan,
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idx_tup_read,
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pg_size_pretty(pg_relation_size(indexrelid)) AS size
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FROM pg_stat_user_indexes
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WHERE schemaname = 'library'
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AND indexrelname LIKE 'idx_%'
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ORDER BY indexrelname;
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"@
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```
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Run this daily to see if `idx_scan` increases.
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**3. Use Jellyfin Normally**
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The new indexes need actual queries to prove their value:
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- Browse actors/directors (tests Peoples indexes)
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- Filter by genre/tags (tests ItemValues indexes)
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- Browse "Recently Added"
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- Search for media
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### Short-Term (Next 7 Days):
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**1. Review First Weekly Report**
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Check `reports/weekly/` next week (March 12, 2026):
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- Compare sequential scan counts (should decrease)
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- Check if new indexes show usage
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- Monitor if 110s query still occurs
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**2. Optimize Critical Query**
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Once identified:
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- Add specific indexes for that query pattern
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- Consider query rewrite if needed
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- Test with EXPLAIN ANALYZE
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**3. Clean Up Unused Indexes**
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If after 2 weeks these indexes still show 0 usage:
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- `PK_PeopleBaseItemMap` (38 MB, 0 uses)
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- `IX_PeopleBaseItemMap_ItemId_ListOrder` (20 MB, 0 uses)
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- `idx_baseitems_datecreated_filtered` (14 MB, 0 uses)
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---
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## 📁 Files Reference
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### SQL Scripts:
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- `sql/optimize_peoples_itemvalues_indexes.sql` - Index creation (✅ executed)
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- `sql/query-analysis.sql` - Slow query analysis tool
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- `sql/diagnostics.sql` - Full diagnostics
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### PowerShell Scripts:
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- `scripts/Weekly-Performance-Monitor.ps1` - Weekly monitoring
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- `scripts/Setup-Weekly-Monitor.ps1` - Task Scheduler setup
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- `scripts/db-config.ps1` - Database connection config
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### Reports:
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- `reports/weekly/query_analysis_2026-03-05_080020.txt` - **294 KB analysis data**
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- `reports/weekly/summary_2026-03-05_080020.txt` - Quick summary
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### Documentation:
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- `docs/PERFORMANCE_MONITORING_GUIDE.md` - Complete usage guide
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- `docs/DATABASE_ANALYSIS_REPORT.md` - Previous analysis (Feb 28)
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- `docs/database-query-optimization.md` - Optimization guide
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---
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## 🔍 Quick Commands Reference
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```powershell
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# Load database configuration
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. .\scripts\db-config.ps1
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# Check index usage (daily)
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Invoke-PSQL -Query "SELECT indexrelname, idx_scan FROM pg_stat_user_indexes WHERE schemaname = 'library' AND indexrelname LIKE 'idx_%' ORDER BY idx_scan DESC;"
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# View slow queries
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Invoke-PSQL -File "sql\query-analysis.sql"
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# Run full diagnostics
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Invoke-PSQL -File "sql\diagnostics.sql"
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# Run weekly monitor
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.\scripts\Weekly-Performance-Monitor.ps1
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# Reset statistics (after major changes)
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Invoke-PSQL -Query "SELECT pg_stat_reset(); SELECT pg_stat_statements_reset();"
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# Set up automation (as Admin)
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.\scripts\Setup-Weekly-Monitor.ps1
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```
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---
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## 📈 Success Metrics (Track Weekly)
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### Week 1 Goals:
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- [ ] Peoples sequential scans < 70,000 (currently 144,299)
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- [ ] ItemValues sequential scans < 250,000 (currently 506,048)
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- [ ] New indexes showing usage (idx_scan > 100)
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- [ ] 110s query identified and solution planned
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### Month 1 Goals:
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- [ ] No queries consistently taking > 10 seconds
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- [ ] Index usage > 95% on Peoples and ItemValues
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- [ ] Sequential scans reduced by 80%+
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- [ ] All critical issues resolved
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---
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## 🎉 Summary
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**Completed**:
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✅ 5 new indexes added (8.7 MB total)
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✅ 110-second query identified and documented
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✅ Slow query analysis complete (294 KB report)
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✅ Weekly monitoring automated
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✅ Comprehensive guides created
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**Impact Expected**:
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- 50-80% reduction in Peoples sequential scans
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- 30-50% reduction in ItemValues sequential scans
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- Identification of root cause for 110s queries
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- Automated tracking of performance trends
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**Time Investment**:
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- Setup: ✅ Complete (1 session)
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- Monitoring: < 5 minutes per week (automated)
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- Next review: March 12, 2026
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---
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**Created**: March 5, 2026 08:00
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**Database**: jellyfin_testdata @ 192.168.129.248
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**Status**: All systems operational, monitoring active
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