Get comprehensive statistics about your models including record counts, growth rates, table sizes, and index usage.
# Get statistics for a model
stats User
# Or as a method
stats(User)═══════════════════════════════════════════════════════════
📈 STATISTICS: User
═══════════════════════════════════════════════════════════
Record Count: 1,234
Growth Rate:
Last 24 hours: +15 records
Last 7 days: +98 records
Last 30 days: +456 records
Table Size:
Total: 2.5 MB
Data: 1.8 MB
Indexes: 0.7 MB
Index Usage:
✓ index_users_on_email (frequently used)
✓ index_users_on_created_at (frequently used)
⚠ index_users_on_last_login (rarely used)
Column Statistics:
email: 1,234 unique values
active: 85% true, 15% false
created_at: 2020-01-01 to 2024-12-31
# Get statistics
stats User
# Get stats result object
result = stats(User)
result.record_count # => 1234
result.growth_rate # => { "24h" => 15, "7d" => 98, "30d" => 456 }
result.table_size # => { "total" => "2.5 MB", "data" => "1.8 MB" }
result.index_usage # => { ... }
# Export statistics
stats(User).to_json
# Export to file
export stats(User) user_stats.json- Record Count: Total number of records
- Growth Rate: New records in last 24h, 7d, 30d (requires
created_atcolumn) - Table Size: Database table size and index size
- Index Usage: Which indexes are used frequently
- Column Statistics: Unique values, distributions, ranges (for smaller tables)