Redis is a high-performance NoSQL database which is usually used as an in-memory caching solution. However, it is very useful as the primary datastore solution. In this article we will see how to set up Redis properties programmatically on the example of Spring application. In many use cases objects stored in Redis may be valid only for a certain amount of time. This is especially useful for persisting short-lived objects in Redis without having to remove them manually when they reach their end of life. We will look at how to configure time to live (TTL) for the app. TTL here is just an example of a Redis property. Other properties can be set up this way as well. Implementation Let’s consider a Spring application that stores CardInfoEntity in Redis. The entity contains sensitive information that can be stored for only 5 minutes. Here is what CardInfoEntity looks like: @Getter @Setter @ToString(exclude = "cardDetails") @NoArgsConstructor @AllArgsConstructor @Builder @RedisHash public class CardInfoEntity { @Id private String id; private String cardDetails; private String firstName; private String lastName; } One needs to set TTL so that the objects will be deleted automatically. This can be achieved in three ways: using timeToLive property of the @RedisHash annotation (e.g. @RedisHash(timeToLive = 5*60)) using the @TimeToLive annotation on either a numeric property or a method using KeyspaceConfiguration.KeyspaceSettings First two options have their flaws. In the first case, the value is hardcoded. There is no flexibility to change the value without rebuilding and redeploying the whole application. In the second case, we have to introduce a field that doesn’t relate to business logic. The third option doesn’t have those problems. With this approach we can use property in application.yml to set TTL and if needed other Redis properties. It’s also placed in a separate configuration file and doesn’t interfere with a business domain model. We need to implement KeyspaceConfiguration and introduce custom KeyspaceSettings which contains Redis settings that we want to set up. @Configuration @RequiredArgsConstructor @EnableRedisRepositories(enableKeyspaceEvents = RedisKeyValueAdapter.EnableKeyspaceEvents.ON_STARTUP) public class RedisConfiguration { private final RedisKeysProperties properties; @Bean public RedisMappingContext keyValueMappingContext() { return new RedisMappingContext( new MappingConfiguration(new IndexConfiguration(), new CustomKeyspaceConfiguration())); } public class CustomKeyspaceConfiguration extends KeyspaceConfiguration { @Override protected Iterable<KeyspaceSettings> initialConfiguration() { return Collections.singleton(customKeyspaceSettings(CardInfoEntity.class, CacheName.CARD_INFO)); } private <T> KeyspaceSettings customKeyspaceSettings(Class<T> type, String keyspace) { final KeyspaceSettings keyspaceSettings = new KeyspaceSettings(type, keyspace); keyspaceSettings.setTimeToLive(properties.getCardInfo().getTimeToLive().toSeconds()); return keyspaceSettings; } } @NoArgsConstructor(access = AccessLevel.PRIVATE) public static class CacheName { public static final String CARD_INFO = "cardInfo"; } } To make Redis delete entities with TTL one has to add enableKeyspaceEvents = RedisKeyValueAdapter.EnableKeyspaceEvents.ON_STARTUP to @EnableRedisRepositories annotation. I introduced CacheName class to use constants as entity names and to reflect that there can be multiple entities that can be configured differently if needed. Conclusion Redis has good integration with Spring which provides several options for configuration. The approach provided in this article is not the most laconic and clear for someone who doesn’t have a lot of experience working with Spring. In many cases just using annotations on top of entities is sufficient. However, if you have a more complex app with several different entities with different Redis properties, the option based on providing KeyspaceSettings can be preferable due to its clear structure and mentioned above advantages (using properties and keeping configuration outside business objects). To view the full example application where AOP was used as shown in this article, read my other article about Creating a Service for Sensitive Data with Spring and Redis. The source code of the full version of this service is available on GitHub. Redis is a high-performance NoSQL database which is usually used as an in-memory caching solution. However, it is very useful as the primary datastore solution. In this article we will see how to set up Redis properties programmatically on the example of Spring application. In many use cases objects stored in Redis may be valid only for a certain amount of time. This is especially useful for persisting short-lived objects in Redis without having to remove them manually when they reach their end of life. We will look at how to configure time to live (TTL) for the app. TTL here is just an example of a Redis property. Other properties can be set up this way as well. Implementation Let’s consider a Spring application that stores CardInfoEntity in Redis. The entity contains sensitive information that can be stored for only 5 minutes. Here is what CardInfoEntity looks like: @Getter @Setter @ToString(exclude = "cardDetails") @NoArgsConstructor @AllArgsConstructor @Builder @RedisHash public class CardInfoEntity { @Id private String id; private String cardDetails; private String firstName; private String lastName; } @Getter @Setter @ToString(exclude = "cardDetails") @NoArgsConstructor @AllArgsConstructor @Builder @RedisHash public class CardInfoEntity { @Id private String id; private String cardDetails; private String firstName; private String lastName; } One needs to set TTL so that the objects will be deleted automatically. This can be achieved in three ways: using timeToLive property of the @RedisHash annotation (e.g. @RedisHash(timeToLive = 5*60)) using the @TimeToLive annotation on either a numeric property or a method using KeyspaceConfiguration.KeyspaceSettings using timeToLive property of the @RedisHash annotation (e.g. @RedisHash(timeToLive = 5*60) ) timeToLive @RedisHash(timeToLive = 5*60) using the @TimeToLive annotation on either a numeric property or a method using KeyspaceConfiguration.KeyspaceSettings KeyspaceConfiguration.KeyspaceSettings First two options have their flaws. In the first case, the value is hardcoded. There is no flexibility to change the value without rebuilding and redeploying the whole application. In the second case, we have to introduce a field that doesn’t relate to business logic. The third option doesn’t have those problems. With this approach we can use property in application.yml to set TTL and if needed other Redis properties. It’s also placed in a separate configuration file and doesn’t interfere with a business domain model. application.yml We need to implement KeyspaceConfiguration and introduce custom KeyspaceSettings which contains Redis settings that we want to set up. @Configuration @RequiredArgsConstructor @EnableRedisRepositories(enableKeyspaceEvents = RedisKeyValueAdapter.EnableKeyspaceEvents.ON_STARTUP) public class RedisConfiguration { private final RedisKeysProperties properties; @Bean public RedisMappingContext keyValueMappingContext() { return new RedisMappingContext( new MappingConfiguration(new IndexConfiguration(), new CustomKeyspaceConfiguration())); } public class CustomKeyspaceConfiguration extends KeyspaceConfiguration { @Override protected Iterable<KeyspaceSettings> initialConfiguration() { return Collections.singleton(customKeyspaceSettings(CardInfoEntity.class, CacheName.CARD_INFO)); } private <T> KeyspaceSettings customKeyspaceSettings(Class<T> type, String keyspace) { final KeyspaceSettings keyspaceSettings = new KeyspaceSettings(type, keyspace); keyspaceSettings.setTimeToLive(properties.getCardInfo().getTimeToLive().toSeconds()); return keyspaceSettings; } } @NoArgsConstructor(access = AccessLevel.PRIVATE) public static class CacheName { public static final String CARD_INFO = "cardInfo"; } } @Configuration @RequiredArgsConstructor @EnableRedisRepositories(enableKeyspaceEvents = RedisKeyValueAdapter.EnableKeyspaceEvents.ON_STARTUP) public class RedisConfiguration { private final RedisKeysProperties properties; @Bean public RedisMappingContext keyValueMappingContext() { return new RedisMappingContext( new MappingConfiguration(new IndexConfiguration(), new CustomKeyspaceConfiguration())); } public class CustomKeyspaceConfiguration extends KeyspaceConfiguration { @Override protected Iterable<KeyspaceSettings> initialConfiguration() { return Collections.singleton(customKeyspaceSettings(CardInfoEntity.class, CacheName.CARD_INFO)); } private <T> KeyspaceSettings customKeyspaceSettings(Class<T> type, String keyspace) { final KeyspaceSettings keyspaceSettings = new KeyspaceSettings(type, keyspace); keyspaceSettings.setTimeToLive(properties.getCardInfo().getTimeToLive().toSeconds()); return keyspaceSettings; } } @NoArgsConstructor(access = AccessLevel.PRIVATE) public static class CacheName { public static final String CARD_INFO = "cardInfo"; } } To make Redis delete entities with TTL one has to add enableKeyspaceEvents = RedisKeyValueAdapter.EnableKeyspaceEvents.ON_STARTUP to @EnableRedisRepositories annotation. I introduced CacheName class to use constants as entity names and to reflect that there can be multiple entities that can be configured differently if needed. enableKeyspaceEvents = RedisKeyValueAdapter.EnableKeyspaceEvents.ON_STARTUP Conclusion Redis has good integration with Spring which provides several options for configuration. The approach provided in this article is not the most laconic and clear for someone who doesn’t have a lot of experience working with Spring. In many cases just using annotations on top of entities is sufficient. However, if you have a more complex app with several different entities with different Redis properties, the option based on providing KeyspaceSettings can be preferable due to its clear structure and mentioned above advantages (using properties and keeping configuration outside business objects). To view the full example application where AOP was used as shown in this article, read my other article about Creating a Service for Sensitive Data with Spring and Redis . Creating a Service for Sensitive Data with Spring and Redis The source code of the full version of this service is available on GitHub . GitHub
