More Than Just a Cache: Redis Data Structures

Redis is a popular key-value store, commonly used as a cache or message broker service. However, it can do so much more than just hold string values in memory! -- Redis is a full-featured “data structure server”. As PHP developers, we typically don’t think about data structures other than our jack-of-all-trades array, but Redis can store hashes, lists, sets, and sorted sets, in addition to operating on string values. In this talk, we’ll explore these basic data structures in Redis and look at how we can apply them to solve problems like rate limiting, creating distributed locks, or efficiently checking membership in a massive set of data.

Latest Slides

Slide Deck Link: https://wkdb.yt/redis-slides

Running Code Examples with PHPUnit

Classes for use case examples located in the "src/Examples" directory with corresponding unit tests in "tests/Examples". Additional tests covering basic data structure functionality are located in "tests/Structures". All the tests can be run with PHPUnit, through the included Docker Compose application.

Start the Docker Compose¹ application with docker-compose up -d
Run docker-compose run --rm app composer install to install vendor dependencies
Run the testsuite with docker-compose run --rm app vendor/bin/phpunit
All tests should pass.

Accessing RedisInsight

The Docker Compose application also includes the RedisInsight desktop manager for Redis. When the application is running, the GUI is served on port 8001 of your localhost machine.

Start the Docker Compose¹ application with docker-compose up -d
Navigate to localhost:8001 in your web browser
Review and agree to the license terms.
Add a new Redis Database with hostname redis-server, port 6379, and your choice of name.

Stopping the Docker Compose Application

docker-compose down

Resources

If you do not already have it installed, you will need to install the appropriate version of Docker and Docker Compose for your working environment. ↩ ↩ ²

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