What is table partitioning? Share your experience.

Partitioning tables is a method of dividing a large database table into smaller, logically related parts (partitions) to improve data performance and manageability.

Partitions can be based on value ranges (e.g., dates), lists of values, or hashing.

In my experience, partitioning helped speed up queries on large tables with historical data, such as logs or transactions. Instead of scanning the entire table, queries only accessed the necessary partitions.

Example: a log table is partitioned by month, and queries for a specific month run faster.

Partitioning also makes archiving and deleting old data easier — you can simply drop a partition entirely.

In Go, I interacted with partitioned tables through SQL queries, considering the specifics of the DBMS (PostgreSQL, MySQL).