Handling multitenancy in Drools can be approached in two primary ways: using separate `KieSessions` for each tenant or a shared `KieSession` with tenant isolation. Each approach has its pros and cons, depending on your specific use case and requirements.
Option 1: Separate `KieSession` for Each Tenant
This approach involves creating a dedicated `KieSession` for each tenant.
Advantages:
1. Complete Isolation: Each tenant operates independently, ensuring no data or state leakage between tenants.
2. Customizability: Rules and configurations can be tailored per tenant without affecting others.
3. State Management: Stateful sessions can maintain tenant-specific data without interference.
Disadvantages:
1. Resource Intensive: Maintaining separate sessions for each tenant can consume more memory and processing power, especially with a large number of tenants.
2. Complexity: Managing multiple sessions (e.g., creating, destroying, and maintaining them) adds operational overhead.
Implementation Example:
• Use a map to associate tenants with their respective session IDs.
• Persist the sessions in a database (e.g., JPA) for recovery after application restarts.
private final Map<String, KieSession> tenantSessions = new HashMap<>();
public KieSession getOrCreateSession(String tenantId) {
return tenantSessions.computeIfAbsent(tenantId, id -> {
KieServices kieServices = KieServices.Factory.get();
KieContainer kieContainer = kieServices.getKieClasspathContainer();
return kieContainer.newKieSession();
});
}
Option 2: Shared `KieSession` with Tenant Isolation
This approach uses a single shared `KieSession`, but ensures tenant isolation through mechanisms like filtering by tenant ID or using global variables.
Advantages:
1. Resource Efficiency: A single session reduces memory usage and simplifies session management.
2. Scalability: Easier to scale for applications with many tenants.
Disadvantages:
1. Risk of Data Leakage: Tenant-specific data must be carefully isolated to avoid accidental sharing.
2. Limited Customization: All tenants share the same rules, which may not suit applications requiring tenant-specific logic.
Implementation Example:
• Use a global variable or fact that includes the `tenantId` to filter rules and facts.
• Ensure every rule checks the `tenantId` before execution.
ksession.setGlobal("currentTenantId", "tenant123");
// In your DRL file
rule "Example Rule"
when
$fact : Fact(tenantId == currentTenantId)
then
// Rule actions
end
Factors to Consider When Choosing an Approach
1. Number of Tenants: For a small number of tenants, separate `KieSessions` may be manageable. For many tenants, shared sessions are more practical.
2. Data Sensitivity: If strict data isolation is required (e.g., regulatory compliance), separate sessions are safer.
3. Resource Constraints: Shared sessions are better suited for environments with limited resources.
4. Customizability Requirements: If tenants require significantly different rules, separate sessions are more appropriate.
Conclusion
• Use separate `KieSessions` if you prioritize isolation and customizability over resource efficiency.
• Opt for shared `KieSessions` if you need scalability and have mechanisms to ensure proper isolation (e.g., tenant-specific filtering).
Thanks and Regards!!!
Ajay C. Kandula