Analytics Engine Configuration

Setup

1. Add binding to wrangler.jsonc
2. Deploy Worker
3. Dataset created automatically on first write
4. Query via SQL API

wrangler.jsonc

{
  "name": "my-worker",
  "analytics_engine_datasets": [
    { "binding": "ANALYTICS", "dataset": "my_events" }
  ]
}

Multiple datasets for separate concerns:

{
  "analytics_engine_datasets": [
    { "binding": "API_ANALYTICS", "dataset": "api_requests" },
    { "binding": "USER_EVENTS", "dataset": "user_activity" }
  ]
}

TypeScript

interface Env {
  ANALYTICS: AnalyticsEngineDataset;
}

  async fetch(request: Request, env: Env) {
    // No await - returns void, fire-and-forget
    env.ANALYTICS.writeDataPoint({
      blobs: [pathname, method, status],      // String dimensions (max 20)
      doubles: [latency, 1],                   // Numeric metrics (max 20)
      indexes: [apiKey]                        // High-cardinality filter (max 1)
    });
    return response;
  }
};

Data Point Limits

Write Behavior

Mitigate sampling: Pre-aggregate, use multiple datasets, write only critical metrics.

Query Limits

Cost

Free tier: 10M writes/month, 1M reads/month

Paid: $0.05 per 1M writes, $1.00 per 1M reads

Environment-Specific

{
  "analytics_engine_datasets": [
    { "binding": "ANALYTICS", "dataset": "prod_events" }
  ],
  "env": {
    "staging": {
      "analytics_engine_datasets": [
        { "binding": "ANALYTICS", "dataset": "staging_events" }
      ]
    }
  }
}

Monitoring

npx wrangler tail  # Check for sampling/write errors

-- Check write activity
SELECT DATE_TRUNC('hour', timestamp) AS hour, COUNT(*) AS writes
FROM my_dataset
WHERE timestamp >= NOW() - INTERVAL '24' HOUR
GROUP BY hour