- Indexing is a way to help the database find data faster without scanning the whole table.
- It works like a book index — jump directly to the needed record.
- In a customer report, filtering by customer_id was slow on a large table.
- After adding an index on customer_id, the dashboard load time dropped significantly.
- Indexes are best for columns used in filters, joins, and sorting like date or order_id.
- But too many indexes slow down inserts and updates.
- So I suggest indexing frequently searched fields, not every column.
- I usually discuss usage patterns with the data team before requesting indexes.
What is indexing at a high level?
Updated on February 5, 2026
< 1 min read
