Parameters

SettingValue
DatabaseSQLite 3.50.4 (64-bit)
OSArch Linux x86_64
CPUAMD Ryzen 5 6600H
Table Rows100,000

Experiment

  1. Create two databases with varying column index orders using Python
  2. Run query 30 times to avoid cold start bias

Results

The chart compares query execution times between different index column orders:

Column Order Results

Conclusion

The order of columns in an index significantly impacts query performance depending on the query patterns. When the leading column of an index is used in WHERE clauses, the database can efficiently seek to the relevant portion of the index. However, if queries filter on columns that appear later in the index, the database may need to scan larger portions of the index.

💡 Key Takeaway: Place the most frequently filtered columns first in your index definition. Analyze your actual query patterns to determine the optimal column order for composite indexes.