Locality-Aware Query Planning for Cross-Region Latency Control
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Solution Overview
Problem
Conventional query optimizers in distributed databases fail to account for network latency between geographically distributed regions, leading to suboptimal query plans and inability to prevent cross-region queries, which can result in poor performance and non-compliance with data regulations.
Innovation Solution
Implement locality-aware query planning by incorporating latency awareness into the cost model, generating candidate query plans that consider geographic regions and selecting the optimal plan based on lowest latency and computational costs, while preventing cross-region queries.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional cost-based query optimization is used, then computational resource utilization is considered, but network latency between geographic regions is ignored leading to suboptimal query plans
Solution Approach 1:
The cost model parameters are extended to include network latency metrics alongside computational resource parameters. The optimizer now evaluates both computational cost and network latency when selecting query plans, changing the optimization criteria from purely computational to a hybrid metric that accounts for geographic distribution and network conditions.
Solution Approach 2:
The query optimization problem is extended from a single-dimensional computational cost metric to a multi-dimensional evaluation space that includes both computational resources and network latency. This allows the optimizer to consider multiple factors simultaneously when generating and selecting query plans.
2Ease of manufacture
If query plans are generated without locality awareness, then simpler optimization is achieved, but cross-region queries cannot be prevented resulting in regulatory non-compliance
Solution Approach 1:
The optimization process incorporates locality information about data distribution and node locations to generate query plans that are aware of geographic considerations. The system evaluates query plans based on their interaction with specific localities (database regions) and adjusts selections accordingly to prevent cross-region queries that would violate compliance requirements.
3Speed
If single-node optimized query plans are selected, then fast execution is achieved, but geographic data distribution requirements cannot be satisfied
Solution Approach 1:
The query optimization system dynamically adapts query plans based on the geographic distribution of data and nodes. Instead of selecting a fixed single-node plan, the system generates and evaluates multiple candidate plans that account for geographic considerations, allowing flexible adaptation to different data distribution scenarios while maintaining performance.
Data Source
AI summary
Methods and systems for locality-aware query planning in a distributed computing system are provided. A query is received from a client device at a gateway node geographically located in a first database region. A plurality of query plans for execution of the query are generated at the gateway node. A first query plan of the query plans is configured to cause communication between the gateway node and a subset of computing nodes that are geographically located in a first external database region that is external to the first database region. A respective cost for each of the query plans is determined. The respective cost for the first query plan is based on an indication of a latency between the first database region and the first external database region. An optimal query plan from the query plans is determined and executed based on each respective cost for the query plans.