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Spring Boot + Redis + PostgreSQL Caching

Spring Boot + Redis + PostgreSQL Caching

Erkan Güzeler's photo
Erkan Güzeler
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7 min read

Photo by Markus Spiske on Unsplash

Hi everyone,

In this post, I would like to show you how to use Redis for Caching with Spring Boot application.

Caching is a very important approach for web development. It helps you to give quick response for your request.

Table of Contents:

Getting Started

Redis is most popular tool to use for caching. It is widely usage in the web application development.

What is Redis?

Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache, and message broker. Redis provides data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes, and streams.

In this post, I have created a simple demo. It includes a Customer class. There are getAllCustomers(), getCustomerById() methods in Controller layer. These are cacheable. If you send requests for these methods, you can be wait for 3 seconds if Redis has no related data in memory. Scenario is like this. Let's begin.

Project Structure

prostructure.png

Maven Dependencies

First of all, we need to add relevant dependencies to pom.xml file. I will use jedis client.

pom.xml:

<dependency>
    <groupId>org.springframework.boot</groupId>
    <artifactId>spring-boot-starter-data-redis</artifactId>
</dependency>

<dependency>
    <groupId>redis.clients</groupId>
    <artifactId>jedis</artifactId>
</dependency>

Redis Configuration

I have created a configuration file for Redis configuration like below. I created redisCacheTemplate and cacheManager beans for Redis.

@Configuration
@AutoConfigureAfter(RedisAutoConfiguration.class)
@EnableCaching
public class RedisConfig {

    @Autowired
    private CacheManager cacheManager;

    @Value("${spring.redis.host}")
    private String redisHost;

    @Value("${spring.redis.port}")
    private int redisPort;

    @Bean
    public RedisTemplate<String, Serializable> redisCacheTemplate(LettuceConnectionFactory redisConnectionFactory) {
        RedisTemplate<String, Serializable> template = new RedisTemplate<>();
        template.setKeySerializer(new StringRedisSerializer());
        template.setValueSerializer(new GenericJackson2JsonRedisSerializer());
        template.setConnectionFactory(redisConnectionFactory);
        return template;
    }

    @Bean
    public CacheManager cacheManager(RedisConnectionFactory factory) {
        RedisCacheConfiguration config = RedisCacheConfiguration.defaultCacheConfig();
        RedisCacheConfiguration redisCacheConfiguration = config
                .serializeKeysWith(
                        RedisSerializationContext.SerializationPair.fromSerializer(new StringRedisSerializer()))
                .serializeValuesWith(RedisSerializationContext.SerializationPair
                        .fromSerializer(new GenericJackson2JsonRedisSerializer()));
        RedisCacheManager redisCacheManager = RedisCacheManager.builder(factory).cacheDefaults(redisCacheConfiguration)
                .build();
        return redisCacheManager;
    }

}

Spring Cache Annotations

I have used Spring Cache Annotations. I would like to explain you what they are.

  • @Cacheable triggers cache population
  • @CacheEvict triggers cache eviction
  • @CachePut updates the cache without interfering with the method execution
  • @Caching regroups multiple cache operations to be applied on a method
  • @CacheConfig shares some common cache-related settings at class-level

Service Layer

I have created a service layer for customer. I have used Spring Annotations for Caching. When you get all customers you will get all data from database if Redis has no related data. waitSomeSome() method is written for simulation. When add new Customer or update a Customer, Redis database related data will evict.

@Service
@CacheConfig(cacheNames = "customerCache")
public class CustomerServiceImpl implements CustomerService {

    @Autowired
    private CustomerRepository customerRepository;

    @Cacheable(cacheNames = "customers")
    @Override
    public List<Customer> getAll() {
        waitSomeTime();
        return this.customerRepository.findAll();
    }

    @CacheEvict(cacheNames = "customers", allEntries = true)
    @Override
    public Customer add(Customer customer) {
        return this.customerRepository.save(customer);
    }

    @CacheEvict(cacheNames = "customers", allEntries = true)
    @Override
    public Customer update(Customer customer) {
        Optional<Customer> optCustomer = this.customerRepository.findById(customer.getId());
        if (!optCustomer.isPresent())
            return null;
        Customer repCustomer = optCustomer.get();
        repCustomer.setName(customer.getName());
        repCustomer.setContactName(customer.getContactName());
        repCustomer.setAddress(customer.getAddress());
        repCustomer.setCity(customer.getCity());
        repCustomer.setPostalCode(customer.getPostalCode());
        repCustomer.setCountry(customer.getCountry());
        return this.customerRepository.save(repCustomer);
    }

    @Caching(evict = { @CacheEvict(cacheNames = "customer", key = "#id"),
            @CacheEvict(cacheNames = "customers", allEntries = true) })
    @Override
    public void delete(long id) {
        this.customerRepository.deleteById(id);
    }

    @Cacheable(cacheNames = "customer", key = "#id", unless = "#result == null")
    @Override
    public Customer getCustomerById(long id) {
        waitSomeTime();
        return this.customerRepository.findById(id).orElse(null);
    }

    private void waitSomeTime() {
        System.out.println("Long Wait Begin");
        try {
            Thread.sleep(3000);
        } catch (InterruptedException e) {
            e.printStackTrace();
        }
        System.out.println("Long Wait End");
    }

Docker & Docker Compose

I have created a Dockerfile and docker-compose.yml files for dockerize this application. I will use postgresql for RDBMS db. I added redis with cache tag to docker-compose.yml file. Docker compose is a very useful tool to run more than one containers.

Dockerfile: 

openjdk:8
ADD ./target/spring-boot-redis-cache-0.0.1-SNAPSHOT.jar /usr/src/spring-boot-redis-cache-0.0.1-SNAPSHOT.jar
WORKDIR usr/src
ENTRYPOINT ["java","-jar", "spring-boot-redis-cache-0.0.1-SNAPSHOT.jar"]

docker-compose.yml:

version: '3'

services:
  db:
    image: "postgres"
    ports:
      - "5432:5432"
    environment:
      POSTGRES_DB: postgres
      POSTGRES_USER: postgres
      POSTGRES_PASSWORD: ekoloji
  cache:
    image: "redis"
    ports: 
      - "6379:6379"
    environment:
      - ALLOW_EMPTY_PASSWORD=yes
      - REDIS_DISABLE_COMMANDS=FLUSHDB,FLUSHALL
  app:
    build: .
    ports:
      - "8080:8080"
    environment:
      SPRING_DATASOURCE_URL: jdbc:postgresql://db/postgres
      SPRING_DATASOURCE_USERNAME: postgres
      SPRING_DATASOURCE_PASSWORD: ekoloji
      SPRING_REDIS_HOST: cache
      SPRING_REDIS_PORT: 6379
    depends_on:
      - db
      - cache

Build And Run

Building and running this application, you need to run some cli commands like mvn and docker. Firstly, I made a fat jar for my application. After that I build my docker-compose file. Finally, you just need to updocker-compose file.

When you follow this road map, you application will be started successfully. You can just go to http://localhost:8080 or http://localhost:8080/swagger-ui.html. If you go to http://localhost:8080/swagger-ui.html link, you can see easily the endpoints of project and you can also test them with Swagger tool.

Build Java Jar.

$ mvn clean install -DskipTests

Docker Compose Build and Run

$ docker-compose build --no-cache
$ docker-compose up --force-recreate

Demo

I made a video on how to run and test this application on Youtube.

https://youtu.be/4yr4JLRK6MM

Conclusion

In this tutorial, we configured the Spring Boot applicaion to communicate with Redis and PostgreSql via Docker. Redis is more powerful tool for caching.

I hope you enjoy while reading.

Have a nice coding.

Source code available in github.

SpringbootRedisAPIscachingWeb Development