Redis is a key-value store and does not have built-in support for tables like traditional relational databases. However, you can still represent table-like structures using Redis data structures like hashes or sets.
A common approach is using Redis hashes to represent rows and columns of a table. Here's an example:
Suppose you want to create a table
users with the following structure:
| id | name | email |
| 1 | Alice | email@example.com |
| 2 | Bob | firstname.lastname@example.org |
| 3 | Carol | email@example.com |
To represent this table in Redis, follow these steps:
Here's how you would use the
redis-cli tool to create the table:
# Add user 1 redis-cli HSET users:1 id 1 name Alice email firstname.lastname@example.org # Add user 2 redis-cli HSET users:2 id 2 name Bob email email@example.com # Add user 3 redis-cli HSET users:3 id 3 name Carol email firstname.lastname@example.org # Create secondary index for emails redis-cli HSET users:email email@example.com 1 redis-cli HSET users:email firstname.lastname@example.org 2 redis-cli HSET users:email email@example.com 3
With this structure, you can easily fetch a user by id:
redis-cli HGETALL users:1
Or find a user id by email:
redis-cli HGET users:email firstname.lastname@example.org
Keep in mind that Redis is not designed as a relational database, and complex queries or operations might not be well-suited for Redis. If you require advanced querying capabilities, consider using a dedicated relational database like PostgreSQL or MySQL.
Dragonfly is fully compatible with the Redis ecosystem and requires no code changes to implement.