Is it vaild to put the numOwners to more than 1 in Infinispan when shared JDBC cache store is in place?
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Infinispan is an open-source data grid and caching solution designed to address the challenges of data consistency and availability in distributed systems. One of its notable features is the ability to leverage multiple strategies for persistence, including file-based, cloud-ready, and database-driven stores such as JDBC cache stores. The configuration of Infinispan cache stores, particularly in a clustered environment, is crucial for achieving optimal performance and data integrity.
Understanding "numOwners" in Infinispan
The "numOwners" parameter plays a critical role in Infinispan's data distribution. It specifies the number of cluster nodes that will keep copies of a particular cache entry. The main purpose of this configuration is to enhance data availability and fault tolerance. If a node in an Infinispan cluster fails or becomes unreachable, the data it held is still accessible on other nodes that keep the replicas.
JDBC Cache Store and Its Shared Mode
The JDBC cache store in Infinispan enables caches to be persisted in a database via JDBC, which can be very useful for state preservation and startup data loading. When configured in shared mode, the JDBC cache store is designed to allow multiple nodes in an Infinispan cluster to connect to and interact with the same underlying database schema. This configuration ensures that any node can read from or write to the database, thus offering a persistent state shared across nodes.
Implications of "numOwners" in Shared JDBC Cache Store Configuration
When combining "numOwners" with a shared JDBC cache store, several considerations need to be taken into account:
- Data Redundancy and Database Load: Increasing the value of "numOwners" will naturally enhance the data redundancy in the cache itself, but it would not necessarily reduce the load on the database since the shared JDBC cache store centralizes data persistence in a single location. Each node responsible for a cache entry still retrieves and stores its data in the shared database. Therefore, the reduction in database transactions or load might not be linear to the number of cache owners.
- Consistency Across Nodes: Keeping "numOwners" greater than 1 means that multiple copies of the same cache entry exist across different nodes. In ecosystems where cache entries are frequently read and rarely updated, this can lead to performance gains by reducing inter-node communication. However, this must be carefully managed to avoid stale data, especially during updates which must be propagated accurately across all node owners.
- Recovery and Availability: Higher values of "numOwners" improve fault tolerance as the failure of a single node does not necessarily result in data loss or a cache miss, as other nodes can serve the data. This aspect is particularly beneficent in ensuring high availability but can increase data synchronization traffic among nodes.
Practical Example
Let's consider an Infinispan cluster configured with a shared JDBC cache store and "numOwners" set to 2. Suppose cache entries are customer profiles accessed frequently but rarely modified. Each node maintains the required cache entries and syncs any modifications back to the shared database. During a node failure, another node equipped with the same cache entries can continue serving data without interruption.
Summary Table
| Parameter | Value | Impact on System |
| numOwners | >1 | Increases data redundancy and fault tolerance |
| Cache Store Type | Shared JDBC | Centralized database interactions; consistent cache storage |
| Read/Write Ratio | High reads | More benefits due to reduced inter-node transfers on reads |
| Sync Requirements | High | Potential increase in network traffic due to sync needs |
Conclusion
While setting "numOwners" to more than 1 in a shared JDBC cache store configuration in Infinispan is technically valid and can provide advantages in redundancy and availability, it must be carefully tuned in line with system requirements and characteristics such as read/write ratio and node reliability. A judicious decision in configuration can greatly enhance data resilience without unnecessarily overloading the network or the central database.

