pgsql-jellyfin/docs/QUICK_ACTION_PLAN.md

⚡ Quick Action Plan - Based on Your Diagnostics

🎯 What Your Diagnostics Revealed

✅ Good:

• No errors, no locks, no blocking
• Most tables have excellent index usage (94-99%)
• Supplementary indexes installed correctly

⚠️ Issues:

• ItemValues table: 1.3 BILLION rows read via sequential scans! 😱
• Peoples table: 918 million rows read
• Supplementary indexes: Almost unused (0-10 uses)

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🚀 What To Do Now

Step 1: Use Jellyfin Normally (This Week) ⭐

The supplementary indexes we created target specific user interactions. You need to actually use Jellyfin to see if they help!

Do these actions:

Browse Recently Added

Dashboard → Recently Added

Tests: idx_baseitems_datecreated_filtered

Filter by Genre/Tags

Movies → Filter → Genre → Action
TV Shows → Filter → Tags → Drama

Tests: idx_itemvaluesmap_itemvalueid_itemid

Browse Libraries

Movies → Browse folders
TV Shows → Navigate seasons

Tests: idx_baseitems_type_isvirtualitem_topparentid

Step 2: Run Diagnostics Again (End of Week)

& "C:\Program Files\PostgreSQL\18\bin\psql.exe" -U jellyfin -d jellyfin -f sql\diagnostics.sql > diagnostics_week1.txt

Compare to today's results:

• Are supplementary indexes being used more?
• Has ItemValues improved?

Step 3: Optimize ItemValues Table (Next Week)

After we see actual usage patterns, create targeted indexes for ItemValues.

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📊 Why Supplementary Indexes Show 0 Uses

Your diagnostics show:

• 0 active database connections
• 0 long-running queries
• Index usage from past activity only

This means:

• Database has been idle
• Indexes only get used when queries run
• Need to use Jellyfin to generate workload

It's like installing a highway but nobody's driven on it yet! 🛣️

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🔧 I Already Fixed One Thing

✅ Updated Statistics - Ran ANALYZE so PostgreSQL knows about the new indexes

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📅 1-Week Testing Plan

Day	Action	Expected Result
Day 1-2	Use Jellyfin normally - Browse libraries - Filter by genre - View Recently Added	Generate query workload
Day 3	Run diagnostics sql\diagnostics.sql	See if indexes are used
Day 4-7	Continue using Jellyfin	Build more usage data
Day 7	Run diagnostics again Compare to today	Decide which indexes to keep

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🎯 Success Metrics

After 1 week, you should see:

If Indexes Are Working:

• idx_baseitems_datecreated_filtered: 100+ uses
• idx_itemvaluesmap_itemvalueid_itemid: 50+ uses
• ItemValues seq scans: Reduced from 226k

If Indexes Aren't Helping:

• Still 0-10 uses after heavy use
• Action: Remove unused indexes to save space
• Create different indexes based on actual query patterns

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🔥 The Real Problem: ItemValues Table

Your diagnostics show the biggest issue isn't what we optimized:

ItemValues Table:

• 226,121 sequential scans
• 1.3 BILLION rows read
• Only 52% index usage
• This is killing performance! 😱

Why Our Indexes Didn't Help: We created indexes for:

• BaseItems (recently added, virtual items, folders)
• ItemValuesMap (genre/tag mapping)
• ActivityLogs (user activity)

But NOT for ItemValues itself!

Next Step: After seeing usage patterns, we'll create indexes specifically for ItemValues table.

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🎓 What This Teaches Us

Index Creation Is Iterative:

1. Phase 1: Create indexes based on schema analysis ✅ (Done)
2. Phase 2: Test with real workload ← You are here
3. Phase 3: Monitor what's used, remove what's not
4. Phase 4: Create indexes for actual bottlenecks
5. Phase 5: Repeat

You can't optimize until you have real data!

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⚠️ Don't Panic About Low Usage

It's normal! Here's why:

1. Database was idle - 0 connections when you ran diagnostics
2. New indexes - Just created, haven't had time to prove themselves
3. Need workload - Indexes only matter when queries run

Analogy: You installed a fire extinguisher. The fact it hasn't been used yet doesn't mean it's useless! 🧯

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🚦 Quick Status Check

✅ Done:

• Supplementary indexes created
• Statistics updated
• Diagnostics analyzed

📋 To Do:

1. Use Jellyfin normally this week
2. Run diagnostics end of week
3. Compare results
4. Optimize ItemValues table
5. Remove unused indexes after 30 days

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💡 Pro Tip: Keep a Log

Create a simple log of your Jellyfin usage:

Day 1:
- Browsed Movies library (5 min)
- Filtered by Action genre (10 items viewed)
- Viewed Recently Added (scrolled through 20 items)

Day 2:
- Searched for actor "Tom Hanks" (15 results)
- Watched a movie
- Browsed TV Shows (10 min)

This helps correlate index usage with your actions!

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🎉 Bottom Line

Your database is healthy! The issues are optimization opportunities, not critical errors.

Action Items:

1. ✅ Statistics updated (done by me)
2. Use Jellyfin normally for 1 week (your task)
3. Run diagnostics next week (we'll do together)
4. Optimize based on real data (next phase)

Keep calm and keep testing! 🚀

See DATABASE_ANALYSIS_REPORT.md for the complete technical analysis.