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Rate Limiter Implementation
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Rate Limiter Implementation

HardSQL · PostgreSQL

Problem

Implement the rate limiter implementations.

Use the supplied API request and policy data to calculate decisions for fixed-window, sliding-window, and token-bucket implementations. Return one result for every request covered by a policy.

Output

  1. Columns: request_id, policy_id, request_ts, fixed_window_allowed, sliding_window_allowed, token_bucket_allowed
  2. One row per request, with each decision represented as a boolean
  3. Sort by request_id ascending

Schema

rate_limit_policies
ColumnTypeDescription
policy_idPKINTUnique rate limit policy identifier
endpointVARCHAR(100)API endpoint covered by the policy
max_requestsINTMaximum requests permitted in one fixed or sliding window
window_secondsINTWindow duration in seconds
bucket_capacityINTMaximum number of tokens held by the bucket
refill_per_secondNUMERIC(8,4)Tokens added per second
api_requests
ColumnTypeDescription
request_idPKINTUnique API request identifier
policy_idINTApplied rate limit policy
request_tsTIMESTAMPTimestamp when the request arrived
client_nameVARCHAR(100)Logical client making the request
user_agentVARCHAR(200)Optional client user agent
Tablesrate_limit_policiesapi_requests
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