Data partitioning

This feature available only in Redisson PRO edition.

Java objects

All Redisson Java objects are Redis or Valkey cluster compatible, but their state isn't scaled/partitioned to multiple master nodes in cluster. Redisson PRO offers data partitioning for some of them. This feature offers several advantages:

1. State of single Redisson object evenly distributed across master nodes instead of single master node. This allows to avoid Redis or Valkey OutOfMemory problem.
2. Scaling read/write operations to all master nodes.

Redisson splits data to 231 partitions by default. Minimal number of partition is 3. Partitions are uniformly distributed across all cluster nodes. This means that each node contains nearly equal amount of partitions. For default partitions amount (231) and 4 master nodes in cluster, each node contains nearly 57 data partitions. 46 data partitions per node for 5 master nodes cluster and so on. This feature achieved thanks to special slot distribution algorithm used in Redisson.

Data partitioning supported for Set, Map, BitSet, Bloom filter, Spring Cache, Hibernate Cache, JCache, Quarkus Cache and Micronaut Cache structures.

Joined Redis deployments

Multiple Redis deployments could be joined and used as a single partitioned (sharded) Redis deployment.

RedissonClient redisson1 = ...;
RedissonClient redisson2 = ...;
RedissonClient redisson3 = ...;

RedissonClient redisson = ShardedRedisson.create(redisson1, redisson2, redisson3);