Skip to content

14. Integration with frameworks

Jump to bottom
Nikita Koksharov edited this page Apr 10, 2024 · 270 revisions

14.1. Spring Framework

14.2. Spring Cache

Redisson provides Redis based Spring Cache implementation made according to Spring Cache specification. Each Cache instance has two important parameters: ttl and maxIdleTime. Data is stored infinitely if these settings are not defined or equal to 0.

Config example:

    @Configuration
    @ComponentScan
    @EnableCaching
    public static class Application {

        @Bean(destroyMethod="shutdown")
        RedissonClient redisson() throws IOException {
            Config config = new Config();
            config.useClusterServers()
                  .addNodeAddress("redis://127.0.0.1:7004", "redis://127.0.0.1:7001");
            return Redisson.create(config);
        }

        @Bean
        CacheManager cacheManager(RedissonClient redissonClient) {
            Map<String, CacheConfig> config = new HashMap<String, CacheConfig>();

            // create "testMap" cache with ttl = 24 minutes and maxIdleTime = 12 minutes
            config.put("testMap", new CacheConfig(24*60*1000, 12*60*1000));
            return new RedissonSpringCacheManager(redissonClient, config);
        }

    }

Cache configuration can be read from YAML configuration files:

    @Configuration
    @ComponentScan
    @EnableCaching
    public static class Application {

        @Bean(destroyMethod="shutdown")
        RedissonClient redisson(@Value("classpath:/redisson.yaml") Resource configFile) throws IOException {
            Config config = Config.fromYAML(configFile.getInputStream());
            return Redisson.create(config);
        }

        @Bean
        CacheManager cacheManager(RedissonClient redissonClient) throws IOException {
            return new RedissonSpringCacheManager(redissonClient, "classpath:/cache-config.yaml");
        }

    }

14.2.1 Spring Cache. Local cache and data partitioning

Redisson provides various Spring Cache managers with two important features:

local cache - so called near cache used to speed up read operations and avoid network roundtrips. It caches Spring Cache entries on Redisson side and executes read operations up to 45x faster in comparison with common implementation. Local cache instances with the same name connected to the same pub/sub channel. This channel is used for exchanging of update/invalidate events between all instances. Local cache store doesn't use hashCode()/equals() methods of key object, instead it uses hash of serialized state.

data partitioning - although Spring Cache instance is cluster compatible its content isn't scaled/partitioned across multiple Redis master nodes in cluster. Data partitioning allows to scale available memory, read/write operations and entry eviction process for individual Spring Cache instance in Redis cluster.

entry eviction - allows to define time to live or max idle time per map entry. Redis hash structure doesn't support eviction thus it's done on Redisson side through custom scheduled task which removes expired entries. Eviction task is started when the cache instance is created. If cache instance isn't used and has expired entries it should be created to start the eviction process. This leads to extra Redis calls and eviction task per unique cache instance name.

advanced entry eviction - improved version of the entry eviction process. Doesn't use an entry eviction task.

Below is complete list of available managers:

Class name Local
cache		 Data
partitioning		 Entry
eviction		 Advanced
entry eviction		 Ultra-fast
read/write
RedissonSpringCacheManager
open-source version 		❌ ❌ ✔️ ❌ ❌
RedissonSpringCacheManager
Redisson PRO version 		❌ ❌ ✔️ ❌ ✔️
RedissonSpringCacheV2Manager
available only in Redisson PRO 		❌ ✔️ ❌ ✔️ ✔️
RedissonSpringLocalCachedCacheManager
available only in Redisson PRO 		✔️ ❌ ✔️ ❌ ✔️
RedissonSpringLocalCachedCacheV2Manager
available only in Redisson PRO 		✔️ ✔️ ❌ ✔️ ✔️
RedissonClusteredSpringCacheManager
available only in Redisson PRO 		❌ ✔️ ✔️ ❌ ✔️
RedissonClusteredSpringLocalCachedCacheManager
available only in Redisson PRO 		✔️ ✔️ ✔️ ❌ ✔️

Follow options object should be supplied during org.redisson.spring.cache.RedissonSpringLocalCachedCacheManager or org.redisson.spring.cache.RedissonClusteredSpringLocalCachedCacheManager initialization:

      LocalCachedMapOptions options = LocalCachedMapOptions.defaults()

      // Defines whether to store a cache miss into the local cache.
      // Default value is false.
      .storeCacheMiss(false);

      // Defines store mode of cache data.
      // Follow options are available:
      // LOCALCACHE - store data in local cache only.
      // LOCALCACHE_REDIS - store data in both Redis and local cache.
      .storeMode(StoreMode.LOCALCACHE_REDIS)

      // Defines Cache provider used as local cache store.
      // Follow options are available:
      // REDISSON - uses Redisson own implementation
      // CAFFEINE - uses Caffeine implementation
      .cacheProvider(CacheProvider.REDISSON)

      // Defines local cache eviction policy.
      // Follow options are available:
      // LFU - Counts how often an item was requested. Those that are used least often are discarded first.
      // LRU - Discards the least recently used items first
      // SOFT - Uses weak references, entries are removed by GC
      // WEAK - Uses soft references, entries are removed by GC
      // NONE - No eviction
     .evictionPolicy(EvictionPolicy.NONE)

      // If cache size is 0 then local cache is unbounded.
     .cacheSize(1000)

      // Used to load missed updates during any connection failures to Redis. 
      // Since, local cache updates can't be get in absence of connection to Redis. 
      // Follow reconnection strategies are available:
      // CLEAR - Clear local cache if map instance has been disconnected for a while.
      // LOAD - Store invalidated entry hash in invalidation log for 10 minutes
      //        Cache keys for stored invalidated entry hashes will be removed 
      //        if LocalCachedMap instance has been disconnected less than 10 minutes
      //        or whole cache will be cleaned otherwise.
      // NONE - Default. No reconnection handling
     .reconnectionStrategy(ReconnectionStrategy.NONE)

      // Used to synchronize local cache changes.
      // Follow sync strategies are available:
      // INVALIDATE - Default. Invalidate cache entry across all LocalCachedMap instances on map entry change
      // UPDATE - Insert/update cache entry across all LocalCachedMap instances on map entry change
      // NONE - No synchronizations on map changes
     .syncStrategy(SyncStrategy.INVALIDATE)

      // time to live for each map entry in local cache
     .timeToLive(10000)
      // or
     .timeToLive(10, TimeUnit.SECONDS)

      // max idle time for each map entry in local cache
     .maxIdle(10000)
      // or
     .maxIdle(10, TimeUnit.SECONDS);

Each Spring Cache instance has two important parameters: ttl and maxIdleTime and stores data infinitely if they are not defined or equal to 0.

Complete config example:

    @Configuration
    @ComponentScan
    @EnableCaching
    public static class Application {

        @Bean(destroyMethod="shutdown")
        RedissonClient redisson() throws IOException {
            Config config = new Config();
            config.useClusterServers()
                  .addNodeAddress("redis://127.0.0.1:7004", "redis://127.0.0.1:7001");
            return Redisson.create(config);
        }

        @Bean
        CacheManager cacheManager(RedissonClient redissonClient) {
            Map<String, CacheConfig> config = new HashMap<String, CacheConfig>();

            // define local cache settings for "testMap" cache.
            // ttl = 48 minutes and maxIdleTime = 24 minutes for local cache entries
            LocalCachedMapOptions options = LocalCachedMapOptions.defaults()
                .evictionPolicy(EvictionPolicy.LFU)
                .timeToLive(48, TimeUnit.MINUTES)
                .maxIdle(24, TimeUnit.MINUTES);
                .cacheSize(1000);
     
            // create "testMap" Redis cache with ttl = 24 minutes and maxIdleTime = 12 minutes
            LocalCachedCacheConfig cfg = new LocalCachedCacheConfig(24*60*1000, 12*60*1000, options);
            // Max size of map stored in Redis
            cfg.setMaxSize(2000);
            config.put("testMap", cfg);
            return new RedissonSpringLocalCachedCacheManager(redissonClient, config);
        }

    }

Cache configuration could be read from YAML configuration files:

    @Configuration
    @ComponentScan
    @EnableCaching
    public static class Application {

        @Bean(destroyMethod="shutdown")
        RedissonClient redisson(@Value("classpath:/redisson.yaml") Resource configFile) throws IOException {
            Config config = Config.fromYAML(configFile.getInputStream());
            return Redisson.create(config);
        }

        @Bean
        CacheManager cacheManager(RedissonClient redissonClient) throws IOException {
            return new RedissonSpringLocalCachedCacheManager(redissonClient, "classpath:/cache-config.yaml");
        }

    }

14.2.2 Spring Cache. YAML config format

Below is the configuration of Spring Cache with name testMap in YAML format:

---
testMap:
  ttl: 1440000
  maxIdleTime: 720000
  localCacheOptions:
    invalidationPolicy: "ON_CHANGE"
    evictionPolicy: "NONE"
    cacheSize: 0
    timeToLiveInMillis: 0
    maxIdleInMillis: 0

Please note: localCacheOptions settings are available for org.redisson.spring.cache.RedissonSpringLocalCachedCacheManager and org.redisson.spring.cache.RedissonSpringClusteredLocalCachedCacheManager classes only.

14.3. Hibernate Cache

Please find more information regarding this chapter here.

14.3.1. Hibernate Cache. Local cache and data partitioning

Please find more information regarding this chapter here.

14.4 JCache API (JSR-107) implementation

Redisson provides an implementation of JCache API (JSR-107) for Redis.

Below are examples of JCache API usage.

1. Using default config located at /redisson-jcache.yaml:

MutableConfiguration<String, String> config = new MutableConfiguration<>();
        
CacheManager manager = Caching.getCachingProvider().getCacheManager();
Cache<String, String> cache = manager.createCache("namedCache", config);

2. Using config file with custom location:

MutableConfiguration<String, String> config = new MutableConfiguration<>();

// yaml config
URI redissonConfigUri = getClass().getResource("redisson-jcache.yaml").toURI();
CacheManager manager = Caching.getCachingProvider().getCacheManager(redissonConfigUri, null);
Cache<String, String> cache = manager.createCache("namedCache", config);

3. Using Redisson's config object:

MutableConfiguration<String, String> jcacheConfig = new MutableConfiguration<>();

Config redissonCfg = ...
Configuration<String, String> config = RedissonConfiguration.fromConfig(redissonCfg, jcacheConfig);

CacheManager manager = Caching.getCachingProvider().getCacheManager();
Cache<String, String> cache = manager.createCache("namedCache", config);

4. Using Redisson instance object:

MutableConfiguration<String, String> jcacheConfig = new MutableConfiguration<>();

RedissonClient redisson = ...
Configuration<String, String> config = RedissonConfiguration.fromInstance(redisson, jcacheConfig);

CacheManager manager = Caching.getCachingProvider().getCacheManager();
Cache<String, String> cache = manager.createCache("namedCache", config);

Read more here about Redisson configuration.

Provided implementation fully passes TCK tests. Here is the test module.

14.4.1 JCache API. Asynchronous, Reactive and RxJava3 interfaces

Along with usual JCache API, Redisson provides Asynchronous, Reactive and RxJava3 API.

Asynchronous interface. Each method returns org.redisson.api.RFuture object.
Example:

MutableConfiguration<String, String> config = new MutableConfiguration<>();
        
CacheManager manager = Caching.getCachingProvider().getCacheManager();
Cache<String, String> cache = manager.createCache("myCache", config);

CacheAsync<String, String> asyncCache = cache.unwrap(CacheAsync.class);
RFuture<Void> putFuture = asyncCache.putAsync("1", "2");
RFuture<String> getFuture = asyncCache.getAsync("1");

Reactive interface. Each method returns reactor.core.publisher.Mono object.
Example:

MutableConfiguration<String, String> config = new MutableConfiguration<>();
        
CacheManager manager = Caching.getCachingProvider().getCacheManager();
Cache<String, String> cache = manager.createCache("myCache", config);

CacheReactive<String, String> reactiveCache = cache.unwrap(CacheReactive.class);
Mono<Void> putFuture = reactiveCache.put("1", "2");
Mono<String> getFuture = reactiveCache.get("1");

RxJava3 interface. Each method returns one of the following object: io.reactivex.Completable, io.reactivex.Single, io.reactivex.Maybe.
Example:

MutableConfiguration<String, String> config = new MutableConfiguration<>();
        
CacheManager manager = Caching.getCachingProvider().getCacheManager();
Cache<String, String> cache = manager.createCache("myCache", config);

CacheRx<String, String> rxCache = cache.unwrap(CacheRx.class);
Completable putFuture = rxCache.put("1", "2");
Maybe<String> getFuture = rxCache.get("1");

14.4.2 JCache API. Local cache and data partitioning

Redisson provides JCache implementations with two important features:

local cache - so called near cache used to speed up read operations and avoid network roundtrips. It caches JCache entries on Redisson side and executes read operations up to 45x faster in comparison with common implementation. Local cache instances with the same name connected to the same pub/sub channel. This channel is used for exchanging of update/invalidate events between all instances. Local cache store doesn't use hashCode()/equals() methods of key object, instead it uses hash of serialized state.

data partitioning - although JCache instance is cluster compatible its content isn't scaled/partitioned across multiple Redis master nodes in cluster. Data partitioning allows to scale available memory, read/write operations and entry eviction process for individual JCache instance in Redis cluster.

Below is the complete list of available managers:

Local
cache		 Data
partitioning		 Ultra-fast
read/write
JCache
open-source version 		❌ ❌ ❌
JCache
Redisson PRO version 		❌ ❌ ✔️
JCache with local cache
available only in Redisson PRO 		✔️ ❌ ✔️
JCache with data partitioning
available only in Redisson PRO 		❌ ✔️ ✔️
JCache with local cache and data partitioning
available only in Redisson PRO 		✔️ ✔️ ✔️
1.1. Local cache configuration:
      LocalCacheConfiguration<String, String> configuration = new LocalCacheConfiguration<>()

      // Defines whether to store a cache miss into the local cache.
      // Default value is false.
      .storeCacheMiss(false);

      // Defines store mode of cache data.
      // Follow options are available:
      // LOCALCACHE - store data in local cache only and use Redis only for data update/invalidation.
      // LOCALCACHE_REDIS - store data in both Redis and local cache.
      .storeMode(StoreMode.LOCALCACHE_REDIS)

      // Defines Cache provider used as local cache store.
      // Follow options are available:
      // REDISSON - uses Redisson own implementation
      // CAFFEINE - uses Caffeine implementation
      .cacheProvider(CacheProvider.REDISSON)

      // Defines local cache eviction policy.
      // Follow options are available:
      // LFU - Counts how often an item was requested. Those that are used least often are discarded first.
      // LRU - Discards the least recently used items first
      // SOFT - Uses weak references, entries are removed by GC
      // WEAK - Uses soft references, entries are removed by GC
      // NONE - No eviction
     .evictionPolicy(EvictionPolicy.NONE)

      // If cache size is 0 then local cache is unbounded.
     .cacheSize(1000)

      // Used to load missed updates during any connection failures to Redis. 
      // Since, local cache updates can't be get in absence of connection to Redis. 
      // Follow reconnection strategies are available:
      // CLEAR - Clear local cache if map instance has been disconnected for a while.
      // LOAD - Store invalidated entry hash in invalidation log for 10 minutes
      //        Cache keys for stored invalidated entry hashes will be removed 
      //        if LocalCachedMap instance has been disconnected less than 10 minutes
      //        or whole cache will be cleaned otherwise.
      // NONE - Default. No reconnection handling
     .reconnectionStrategy(ReconnectionStrategy.NONE)

      // Used to synchronize local cache changes.
      // Follow sync strategies are available:
      // INVALIDATE - Default. Invalidate cache entry across all LocalCachedMap instances on map entry change
      // UPDATE - Insert/update cache entry across all LocalCachedMap instances on map entry change
      // NONE - No synchronizations on map changes
     .syncStrategy(SyncStrategy.INVALIDATE)

      // time to live for each map entry in local cache
     .timeToLive(10000)
      // or
     .timeToLive(10, TimeUnit.SECONDS)

      // max idle time for each map entry in local cache
     .maxIdle(10000)
      // or
     .maxIdle(10, TimeUnit.SECONDS);
1.2. Local cache usage examples:
LocalCacheConfiguration<String, String> config = new LocalCacheConfiguration<>();
                .setEvictionPolicy(EvictionPolicy.LFU)
                .setTimeToLive(48, TimeUnit.MINUTES)
                .setMaxIdle(24, TimeUnit.MINUTES);
                .setCacheSize(1000);
        
CacheManager manager = Caching.getCachingProvider().getCacheManager();
Cache<String, String> cache = manager.createCache("myCache", config);

// or

URI redissonConfigUri = getClass().getResource("redisson-jcache.yaml").toURI();
CacheManager manager = Caching.getCachingProvider().getCacheManager(redissonConfigUri, null);
Cache<String, String> cache = manager.createCache("myCache", config);

// or 

Config redissonCfg = ...
Configuration<String, String> rConfig = RedissonConfiguration.fromConfig(redissonCfg, config);

CacheManager manager = Caching.getCachingProvider().getCacheManager();
Cache<String, String> cache = manager.createCache("namedCache", rConfig);
1.3. Data partitioning usage examples:
ClusteredConfiguration<String, String> config = new ClusteredConfiguration<>();
        
CacheManager manager = Caching.getCachingProvider().getCacheManager();
Cache<String, String> cache = manager.createCache("myCache", config);

// or

URI redissonConfigUri = getClass().getResource("redisson-jcache.yaml").toURI();
CacheManager manager = Caching.getCachingProvider().getCacheManager(redissonConfigUri, null);
Cache<String, String> cache = manager.createCache("myCache", config);

// or 

Config redissonCfg = ...
Configuration<String, String> rConfig = RedissonConfiguration.fromConfig(redissonCfg, config);

CacheManager manager = Caching.getCachingProvider().getCacheManager();
Cache<String, String> cache = manager.createCache("namedCache", rConfig);
1.4. Local cache with data partitioning configuration:
      ClusteredLocalCacheConfiguration<String, String> configuration = new ClusteredLocalCacheConfiguration<>()

      // Defines whether to store a cache miss into the local cache.
      // Default value is false.
      .storeCacheMiss(false);

      // Defines store mode of cache data.
      // Follow options are available:
      // LOCALCACHE - store data in local cache only and use Redis only for data update/invalidation.
      // LOCALCACHE_REDIS - store data in both Redis and local cache.
      .storeMode(StoreMode.LOCALCACHE_REDIS)

      // Defines Cache provider used as local cache store.
      // Follow options are available:
      // REDISSON - uses Redisson own implementation
      // CAFFEINE - uses Caffeine implementation
      .cacheProvider(CacheProvider.REDISSON)

      // Defines local cache eviction policy.
      // Follow options are available:
      // LFU - Counts how often an item was requested. Those that are used least often are discarded first.
      // LRU - Discards the least recently used items first
      // SOFT - Uses weak references, entries are removed by GC
      // WEAK - Uses soft references, entries are removed by GC
      // NONE - No eviction
     .evictionPolicy(EvictionPolicy.NONE)

      // If cache size is 0 then local cache is unbounded.
     .cacheSize(1000)

      // Used to load missed updates during any connection failures to Redis. 
      // Since, local cache updates can't be get in absence of connection to Redis. 
      // Follow reconnection strategies are available:
      // CLEAR - Clear local cache if map instance has been disconnected for a while.
      // LOAD - Store invalidated entry hash in invalidation log for 10 minutes
      //        Cache keys for stored invalidated entry hashes will be removed 
      //        if LocalCachedMap instance has been disconnected less than 10 minutes
      //        or whole cache will be cleaned otherwise.
      // NONE - Default. No reconnection handling
     .reconnectionStrategy(ReconnectionStrategy.NONE)

      // Used to synchronize local cache changes.
      // Follow sync strategies are available:
      // INVALIDATE - Default. Invalidate cache entry across all LocalCachedMap instances on map entry change
      // UPDATE - Insert/update cache entry across all LocalCachedMap instances on map entry change
      // NONE - No synchronizations on map changes
     .syncStrategy(SyncStrategy.INVALIDATE)

      // time to live for each map entry in local cache
     .timeToLive(10000)
      // or
     .timeToLive(10, TimeUnit.SECONDS)

      // max idle time for each map entry in local cache
     .maxIdle(10000)
      // or
     .maxIdle(10, TimeUnit.SECONDS);
1.5. Local cache with data partitioning usage examples:
ClusteredLocalCacheConfiguration<String, String> config = new ClusteredLocalCacheConfiguration<>();
        
CacheManager manager = Caching.getCachingProvider().getCacheManager();
Cache<String, String> cache = manager.createCache("myCache", config);

// or

URI redissonConfigUri = getClass().getResource("redisson-jcache.yaml").toURI();
CacheManager manager = Caching.getCachingProvider().getCacheManager(redissonConfigUri, null);
Cache<String, String> cache = manager.createCache("myCache", config);

// or 

Config redissonCfg = ...
Configuration<String, String> rConfig = RedissonConfiguration.fromConfig(redissonCfg, config);

CacheManager manager = Caching.getCachingProvider().getCacheManager();
Cache<String, String> cache = manager.createCache("namedCache", rConfig);

14.5. MyBatis Cache

Please find more information regarding this chapter here.

14.5.1. MyBatis Cache. Local cache and data partitioning

Please find more information regarding this chapter here.

14.6. Tomcat Redis Session Manager

Please find more information regarding this chapter here.

14.7. Spring Session

Please note that Redis notify-keyspace-events setting should contain Exg letters to make Spring Session integration work.

Ensure you have Spring Session library in your classpath, add it if necessary:

Maven

<dependency>
    <groupId>org.springframework.session</groupId>
    <artifactId>spring-session-core</artifactId>
    <version>3.2.1</version>
</dependency>

<dependency>
   <groupId>org.redisson</groupId>
   <artifactId>redisson-spring-data-32</artifactId>
   <version>3.27.2</version>
</dependency>

Gradle

compile 'org.springframework.session:spring-session-core:3.2.1'

compile 'org.redisson:redisson-spring-data-32:3.27.2'

Usage example of Spring Http Session configuration:

Add configuration class which extends AbstractHttpSessionApplicationInitializer class:

@Configuration
@EnableRedisHttpSession
public class SessionConfig extends AbstractHttpSessionApplicationInitializer { 

     @Bean
     public RedissonConnectionFactory redissonConnectionFactory(RedissonClient redisson) {
         return new RedissonConnectionFactory(redisson);
     }

     @Bean(destroyMethod = "shutdown")
     public RedissonClient redisson(@Value("classpath:/redisson.yaml") Resource configFile) throws IOException {
        Config config = Config.fromYAML(configFile.getInputStream());
        return Redisson.create(config);
     }

}

Usage example of Spring WebFlux’s Session configuration:

Add configuration class which extends AbstractReactiveWebInitializer class:

@Configuration
@EnableRedisWebSession
public class SessionConfig extends AbstractReactiveWebInitializer { 

     @Bean
     public RedissonConnectionFactory redissonConnectionFactory(RedissonClient redisson) {
         return new RedissonConnectionFactory(redisson);
     }

     @Bean(destroyMethod = "shutdown")
     public RedissonClient redisson(@Value("classpath:/redisson.yaml") Resource configFile) throws IOException {
        Config config = Config.fromYAML(configFile.getInputStream());
        return Redisson.create(config);
     }
}

Usage example with Spring Boot configuration:

  1. Add Spring Session Data Redis library in classpath:

    Maven

    <dependency>
   <groupId>org.springframework.session</groupId>
   <artifactId>spring-session-data-redis</artifactId>
   <version>3.2.1</version>
</dependency>

    Gradle

    compile 'org.springframework.session:spring-session-data-redis:3.2.1'

  2. Add Redisson Spring Data Redis library in classpath:

    Maven

    <dependency>
   <groupId>org.redisson</groupId>
   <artifactId>redisson-spring-data-32</artifactId>
   <version>3.27.2</version>
</dependency>

    Gradle

    compile 'org.redisson:redisson-spring-data-32:3.27.2'

  3. Define follow properties in spring-boot settings

spring.session.store-type=redis
spring.redis.redisson.file=classpath:redisson.yaml
spring.session.timeout.seconds=900

Try Redisson PRO with ultra-fast performance and support by SLA.

14.8. Spring Transaction Manager

Redisson provides implementation of both org.springframework.transaction.PlatformTransactionManager and org.springframework.transaction.ReactiveTransactionManager interfaces to participant in Spring transactions. See also Transactions section.

Usage example of Spring Transaction Management:

@Configuration
@EnableTransactionManagement
public class RedissonTransactionContextConfig {
    
    @Bean
    public TransactionalBean transactionBean() {
        return new TransactionalBean();
    }
    
    @Bean
    public RedissonTransactionManager transactionManager(RedissonClient redisson) {
        return new RedissonTransactionManager(redisson);
    }
    
    @Bean(destroyMethod="shutdown")
    public RedissonClient redisson(@Value("classpath:/redisson.yaml") Resource configFile) throws IOException {
         Config config = Config.fromYAML(configFile.getInputStream());
        return Redisson.create(config);
    }
    
}


public class TransactionalBean {

    @Autowired
    private RedissonTransactionManager transactionManager;

    @Transactional
    public void commitData() {
        RTransaction transaction = transactionManager.getCurrentTransaction();
        RMap<String, String> map = transaction.getMap("test1");
        map.put("1", "2");
    }

}

Usage example of Reactive Spring Transaction Management:

@Configuration
@EnableTransactionManagement
public class RedissonReactiveTransactionContextConfig {
    
    @Bean
    public TransactionalBean transactionBean() {
        return new TransactionalBean();
    }
    
    @Bean
    public ReactiveRedissonTransactionManager transactionManager(RedissonReactiveClient redisson) {
        return new ReactiveRedissonTransactionManager(redisson);
    }
    
    @Bean(destroyMethod="shutdown")
    public RedissonReactiveClient redisson(@Value("classpath:/redisson.yaml") Resource configFile) throws IOException {
         Config config = Config.fromYAML(configFile.getInputStream());
        return Redisson.createReactive(config);
    }
    
}

public class TransactionalBean {

    @Autowired
    private ReactiveRedissonTransactionManager transactionManager;

    @Transactional
    public Mono<Void> commitData() {
        Mono<RTransactionReactive> transaction = transactionManager.getCurrentTransaction();
        return transaction.flatMap(t -> {
            RMapReactive<String, String> map = t.getMap("test1");
            return map.put("1", "2");
        }).then();
    }

}

14.9. Spring Data Redis

Please find information regarding this chapter here.

14.10. Spring Boot Starter

Please find the information regarding this chapter here.

14.11. Micronaut

Please find the information regarding this chapter here.

14.12. Quarkus

Please find the information regarding this chapter here.

14.13. Helidon

Please find the information regarding this chapter here.

Wiki Home

Table of Content

  1. Overview
  1. Configuration
  1. Operations execution
  1. Data serialization
  1. Data partitioning (sharding)
  1. Distributed objects
  1. Distributed collections
  1. Distributed locks and synchronizers
  1. Distributed services
  1. Additional features
  1. Redis commands mapping
  1. Standalone node
  1. Tools
  1. Integration with frameworks
  1. Dependency list
  1. FAQ
Clone this wiki locally