36. Geospatial Index with TTL
Finding the nearby members of a set that is constantly moving. A table scan with a distance function is hopeless at any scale, and a stale position is worse than none — it sends a car to someone who left ten minutes ago.
The brief
Geospatial Index with TTL. Finding the nearby members of a set that is constantly moving. A table scan with a distance function is hopeless at any scale, and a stale position is worse than none — it sends a car to someone who left ten minutes ago. Work from the scoping questions below. State assumptions for any unspecified load, guarantee or target, then trace your design end to end. Explain one difficult case and a credible alternative; the worked example is a reference, not a required implementation.
- Set the scope: Which moving objects are being located and how often do they report? What radius and result count does a nearby query request?
- Define the contract: When does an old location become unusable? How should results behave near cell boundaries and in dense areas?
- Test the boundaries: What location history may be retained or exposed?
Constraints
- Explicit scope and guarantees
- Resolve the scoping questions for Geospatial Index with TTL. Separate stated behavior from assumptions, and identify what is outside your design.
- Supported operating targets
- Declare relevant volume, latency, freshness, quality or cost targets with units. Show calculations or an evaluation plan that can test them; unspecified targets are your assumptions, not hidden pass criteria.
- Failure and boundary behavior
- Explain how your guarantees hold in a difficult case relevant to this subject. Address: How should results behave near cell boundaries and in dense areas? What location history may be retained or exposed?
What to cover
- 01
Scope and behavior contract
Identify users, required behavior and exclusions. Answer: Which moving objects are being located and how often do they report? What radius and result count does a nearby query request?
- 02
State and interfaces
Define the information owned by the system and the inputs, outputs and errors at its boundaries. Resolve: When does an old location become unusable? How should results behave near cell boundaries and in dense areas?
- 03
Capacity and operating targets
Estimate the dominant workload and resource demand with units and explicit assumptions. For a learned system, also state how quality is measured and what data is available.
- 04
Architecture and central flow
Draw or describe the responsibilities needed for Geospatial Index with TTL. Trace a representative request, event or job from its input to a visible result; identify durable state owners.
- 05
Failure and boundary walkthrough
Walk through a difficult case step by step, including detection and recovery. Consider: What location history may be retained or exposed?
- 06
Tradeoffs and operations
Compare a credible alternative using your chosen workload and guarantees. Explain a remaining risk, a signal to watch and when you would change the design.
Worked designs
Explore the architecture and decisions, then build on an example with Coach.
Review rubric
AI feedback uses these criteria. Scores are practice feedback.
Scope and contracts
The scoping questions have explicit, consistent answers.
End-to-end design
State ownership and the central flow satisfy the chosen scope.
Operating evidence
Calculations or evaluations support the declared targets.
Boundaries and tradeoffs
A difficult case and an alternative are traced concretely.
Discussion
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