# Index Creation Status

## ✅ Successfully Created

1. **`idx_store_user_link_store_customer`** ✅
   - **Table**: `store_user_link`
   - **Columns**: `(store_code, customer_id)`
   - **Purpose**: Optimizes UPDATE operations in `process_store_category_data`
   - **Status**: Created successfully

2. **`idx_task_name_status`** ✅
   - **Table**: `task`
   - **Columns**: `(name, status)` with partial WHERE clause
   - **Purpose**: Optimizes COUNT(*) FILTER operations for specific task names
   - **Status**: Created successfully

## ⏳ Pending (Large Index)

3. **`idx_sjreport_dedup`** ⏳
   - **Table**: `sjreport` (13+ million rows)
   - **Columns**: `(customer_id, store_code, week_start_date, channel, store_name, category, product, variant, size, created_at DESC, id DESC)`
   - **Purpose**: Optimizes window function performance for deduplication
   - **Status**: Timed out during creation (table is too large)
   - **Action Required**: Run `create_large_index_concurrently.sql` separately
   - **Note**: This index is OPTIONAL - the function will work without it, but may be slower

## Next Steps

1. ✅ **Critical indexes are created** - The function should already perform better
2. ⏳ **Optional large index**: Run `create_large_index_concurrently.sql` when convenient (may take 10-30+ minutes)
3. 📊 **Deploy optimized function**: Run `process_store_category_data_optimized.sql` to deploy the code optimizations

## Performance Impact

Even without the `idx_sjreport_dedup` index, you should see significant performance improvements from:
- ✅ The two new indexes created
- ✅ The code optimizations in the optimized function (pre-computed categories, eliminated type conversions)
- ✅ Existing indexes that were already present

The `idx_sjreport_dedup` index is a nice-to-have optimization that can be added later if needed.