Scoreboard 181 Dev ((hot)) May 2026

CREATE INDEX CONCURRENTLY idx_scoreboard_181_dev ON score_events (version, updated_at) WHERE version = 181; If your scoreboard displays 1,000+ rows, use react-window to render only 10 rows at a time. The 181 dev branch includes a utility hook:

try: redis_client.zadd(leaderboard_key, user_id: new_score) db.execute("INSERT INTO score_updates (user_id, score, version) VALUES (%s, %s, 181)", (user_id, new_score)) db.commit() except Exception as e: redis_client.zrem(leaderboard_key, user_id) # rollback Redis logger.error(f"Scoreboard 181 dev rollback: e") Cause : React’s useEffect was triggering on every score change instead of batching. Fix : Use a throttled subscription: scoreboard 181 dev

| Environment | Version | Key Differences | |-------------|---------|------------------| | Dev | 181-dev | Debug logs, relaxed CORS, mock auth | | Staging | 181-rc | Production-like data, rate limiting active, no mock auth | | Production | 181-prod | CDN caching, Redis cluster, read replicas | Fix : Implement the 181-dev double-write pattern: In

const ws = new WebSocket('wss://dev-api/v1.8.1/scoreboard', headers: 'X-API-Version': '181' ); Cause : The atomic update job failed due to a missing transaction boundary. Fix : Implement the 181-dev double-write pattern: user) or 0 if new_score &gt

In dev, kill Redis and verify the scoreboard falls back to the PostgreSQL cache within 1.81 seconds. Part 7: Moving from Dev to Staging to Production After extensive testing in your scoreboard 181 dev environment, you must migrate carefully.

-- atomic_update.lua local key = KEYS[1] local user = ARGV[1] local new_score = tonumber(ARGV[2]) local old_score = redis.call('ZSCORE', key, user) or 0 if new_score > old_score then redis.call('ZADD', key, new_score, user) return 1 else return 0 end In PostgreSQL, add a composite index specifically for the 181 schema: