Connection Pool Tenant Limit Enforcement via Labeling
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Solution Overview
Problem
In multi-tenant database environments, existing connection pool systems face challenges in efficiently managing the maximum number of connections per tenant and per database shard, leading to potential connection starvation and unfair resource distribution.
Innovation Solution
Implementing a connection pool system that enforces limits on the maximum number of connections per tenant and per database shard by using connection labeling and sharding techniques, allowing for efficient resource allocation and preventing overuse, while maintaining a parameter to track and enforce these limits.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a shared connection pool is used to improve resource utilization, then overall system efficiency is improved, but individual tenant connection limits cannot be enforced leading to unfair resource distribution
Solution Approach 1:
The connection pool is segmented by introducing tenant identifiers and shard identifiers to connections. The system divides the shared pool into logical segments using labels, allowing enforcement of per-tenant and per-shard connection limits while maintaining physical sharing of the pool infrastructure.
Solution Approach 2:
Labels are introduced as an intermediary mechanism between the connection pool and the tenant/shard identification system. These labels enable the pool to track and enforce connection limits for different tenants and shards without requiring separate physical pools, thus maintaining resource sharing while enabling control.
2Adaptability or versatility
If connection limits per tenant are enforced to prevent resource starvation, then fairness is improved, but connection acquisition complexity increases
Solution Approach 1:
The connection pool performs self-service by automatically tracking connection counts per tenant and per shard, and by autonomously rejecting connections that would exceed configured limits. This eliminates the need for external monitoring and manual intervention, reducing operational complexity despite the added control mechanisms.
Solution Approach 2:
The system implements feedback mechanisms where the connection pool continuously monitors the number of active connections per tenant and per shard, and uses this information to make real-time decisions about connection allocation. This automated feedback loop simplifies management by removing the need for external control systems.
3Adaptability or versatility
If the connection pool scans sharded database topology to enforce shard limits, then connection distribution control is improved, but scan operation time increases
Solution Approach 1:
The connection pool performs preliminary actions by pre-establishing the sharded database topology map and maintaining it in memory. This allows the pool to quickly determine which shard a connection should access without performing scans at connection request time, thus reducing operational latency while maintaining enforcement capability.
4Adaptability or versatility
If separate connection pools are created for each tenant to enforce limits, then connection control precision is improved, but overall resource utilization decreases
Solution Approach 1:
The system merges multiple tenant connection requirements into a single shared physical connection pool, while using labels to maintain logical separation. This combining approach enables per-tenant connection limit enforcement while allowing idle connections from different tenants to be shared and reused, thus maintaining both control precision and resource utilization.
Data Source
AI summary
Described herein are systems and methods for providing access to a database in a multi-tenant environment, including the use of a connection pool, and support for limiting the maximum number of connections per tenant or per database shard. For example, when a tenant is associated with a service, configuring a maximum connections per service limit on a shared connection pool indicates to the system that the shared pool should not repurpose existing connections, or create new connections for a service, if the maximum connections per service limit has been reached for that particular service. The system can also maintain a parameter that keeps track of the total number of connections created to each shard of a sharded database. The connection pool can scan the sharded database topology, to determine which shard or sharded instance can satisfy the request, without exceeding the maximum limit for that shard.


