Multi-Tenant Object-Oriented Data Model Namespace Segmentation
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Solution Overview
Problem
Managing multiple system landscapes in a multi-tenant software system is challenging due to identifier collisions and lack of data separation, leading to increased technical resources and costs, as existing solutions require multiple instances of software services and redundant data storage.
Innovation Solution
Implementing a computer-implemented system using object-oriented models that store tenant-specific and shared content in respective namespaces, with an object-oriented data model enabling data separation and sharing across tenants, and processing requests based on this model to manage system landscapes efficiently.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple instances of software services are provided for each entity, then data separation between entities is ensured, but technical resources and total cost of ownership increase significantly
Solution Approach 1:
The system segments data storage by implementing separate namespace containers for each tenant entity. Each tenant's data is stored in its own namespace (e.g., TenantA namespace, TenantB namespace), providing logical data separation without requiring separate software service instances. This segmentation approach maintains data isolation while sharing the same underlying software infrastructure.
Solution Approach 2:
A single instance of the software service is designed to serve multiple tenant entities simultaneously. The universal service instance can handle requests from any tenant, access the appropriate namespace for data operations, and manage multiple system landscapes across different entities. This multi-functionality eliminates the need for separate service instances for each tenant.
2Reliability
If multiple instances of software services are provided for each entity, then clear separation between entities is maintained, but redundancy of shared data occurs
Solution Approach 1:
The namespace architecture segments data storage into tenant-specific containers while maintaining a shared underlying storage structure. Each tenant's data is logically separated in its own namespace, but physically stored in a unified database system. This eliminates redundant storage of shared data structures, schemas, and common information across multiple tenant instances.
Solution Approach 2:
The system merges the storage infrastructure for multiple tenants into a single unified database system with namespace-based organization. Instead of having separate database instances for each tenant, the system combines all tenant data into one database with logical separation through namespaces. This merging eliminates redundant data storage while maintaining data separation through the namespace layer.
3Reliability
If identifier extensions are used to distinguish between multiple systems, then system identifier collisions are avoided, but naming convention complexity increases
Solution Approach 1:
The system segments the identifier namespace by incorporating the tenant identifier as a prefix for all system identifiers within that tenant's namespace. For example, system identifiers are structured as 'TenantA-ERP01', 'TenantA-ERP02' for the first tenant and 'TenantB-ERP01', 'TenantB-ERP02' for the second tenant. This segmentation approach automatically ensures uniqueness across all tenants without requiring complex manual naming conventions.
Solution Approach 2:
The namespace acts as an intermediary layer between the tenant entity and the system identifiers. Instead of directly managing complex identifier collisions between tenants, the namespace prefix serves as a mediator that automatically distinguishes identifiers from different tenants. This intermediary approach simplifies identifier management by handling the uniqueness requirement at the namespace level rather than through complex naming rules.
Data Source
AI summary
Methods, systems, and computer-readable storage media for providing a system that interacts with a plurality of tenant systems, the plurality of tenants including at least a first and a second tenant system, storing tenant-specific content in respective tenant namespaces, the tenant-specific content including first content of the first tenant system stored in a first tenant namespace, and second content of the second tenant system stored in a second tenant namespace, storing shared content in a shared namespace, the shared content including content that is not specific to a tenant in the plurality of tenants, storing an object-oriented data model (OOM) in the shared namespace, the OOM including two or more data objects, and one or more associations between data objects, and processing a request received from one of the first and the second tenant systems based on the OOM, the shared content, and one of the first and second content.