Multi-tenant Database Shared Table Partition Key
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Solution Overview
Problem
Multi-tenant database systems face significant monetary and computational inefficiencies due to the need for individual, tenant-specific tables in distributed database systems, especially when managing hundreds or thousands of tenants with varying data traffic and structures.
Innovation Solution
Implementing a system where data from multiple tenants is stored in shared tables using tenant-specific partition keys, which are generated based on data keys, tenant identifiers, and data type identifiers, allowing data to be written to or retrieved from a single shared table, thereby reducing the need for multiple tables and associated costs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If individual tenant-specific tables are used in distributed database systems, then data isolation and tenant-specific customization are improved, but monetary costs and device complexity increase significantly when managing hundreds or thousands of tenants
Solution Approach 1:
The patent merges multiple tenant-specific tables into a single shared table by introducing a tenant identifier column. This allows data from multiple tenants to be stored together while maintaining logical separation through the tenant identifier, thereby reducing the number of physical tables from hundreds or thousands to a single table while preserving data isolation.
Solution Approach 2:
The shared table structure serves multiple functions simultaneously: it stores data for multiple tenants, maintains data isolation through the tenant identifier, and supports tenant-specific queries. This universal table design replaces the need for separate dedicated tables for each tenant, reducing complexity while maintaining functionality.
2Reliability
If individual tenant-specific tables are used, then data security and tenant isolation are improved, but monetary costs and maintenance requirements increase for cloud platform operators
Solution Approach 1:
By combining multiple tenant-specific tables into a single shared table, the patent reduces maintenance overhead. Instead of maintaining hundreds or thousands of separate tables, the system maintains one table with proper indexing on the tenant identifier, significantly reducing computational resources and monetary costs for cloud platform operators while preserving tenant isolation through logical separation.
3Reliability
If multiple tenant-specific tables are maintained, then data access security is improved, but computational efficiency decreases due to the overhead of managing numerous tables
Solution Approach 1:
The patent merges multiple tables into one shared table structure, eliminating the computational overhead of managing numerous separate table objects. The single table with tenant identifier filtering improves computational efficiency by reducing metadata management, while data access security is maintained through the tenant identifier that ensures each tenant only accesses their own data.
Data Source
AI summary
A system may store data in a shared table of a distributed database based on generating a tenant-specific partition key. The system may receive a message from a first tenant that indicates certain data to be written to or retrieved from a shared table (e.g., shared between multiple tenants). The system may then identify a data key, a tenant identifier, and a data type identifier associated with the data and generate a partition key that includes the data key, tenant identifier, and data type identifier. The system may then transmit the partition key to the shared table, and data may be written to or retrieved from the table based on the tenant-specific partition key.