How to quickly query a large amount of data in SQL?

To quickly query a large amount of data, you can use the following methods:

1. Utilize Indexes: Ensure appropriate indexes are created on the columns used in a query to significantly improve the speed of the query.
2. Reduce the number of query fields: only retrieve the necessary fields to avoid querying too many columns, which can decrease data transmission and processing time.
3. Optimize the query statement: Ensure that the query statement efficiently utilizes indexes while avoiding complex joins and subqueries, and try to simplify the query statement as much as possible.
4. Pagination query: If the query result is too large, data can be obtained gradually through pagination query instead of getting all data at once.
5. Utilizing caching: Consider using caching technology to store query results and improve query speed.
6. Database optimization: Regularly optimizing the database, including index optimization, table structure optimization, etc., to improve query performance.

In conclusion, utilizing proper indexing, reducing query fields, optimizing query statements, implementing pagination, utilizing caches, and optimizing databases can help improve the speed of querying large amounts of data.