Lanthanesthai

Lanthanesthai / Maoyan-Movie-System

Public

A high-concurrency movie ticketing system with seat locking, Redis Lua stock pre-deduction, Redisson distributed locks, RocketMQ async events, and MySQL optimistic locking.

10
1
100% credibility
Found May 10, 2026 at 10 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Java
AI Summary

A realistic movie ticketing website where users browse films, select cinemas and seats, place orders, and simulate payments using points for a complete booking experience.

How It Works

1
🎬 Discover Movies

You land on the fun movie site and see hot films playing now with posters and ratings.

2
🔍 Find Your Show

Pick a movie you love, check nearby cinemas, dates, and times that fit your schedule.

3
🏛️ Choose Cinema

Select a convenient theater with the right screen type and snacks if you want.

4
👤 Pick Seats

Click your favorite seats on the colorful interactive map, seeing what's taken or locked.

5
📱 Lock and Order

Confirm your seats are held, review the details, and create your ticket order.

6
💳 Pay with Points

Use your earned points to pay quickly, watching the timer for a smooth checkout.

✅ Tickets Secured!

Celebrate with your confirmation, order number, and seats ready for movie night.

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AI-Generated Review

What is Maoyan-Movie-System?

This Java-based full-stack movie ticketing app mimics Maoyan, letting users browse films, search cinemas by filters like brand or district, pick seats from layouts, lock them temporarily, create orders, and simulate payments. It tackles high-concurrency ticket grabs with seat locking, Redis Lua pre-deduction for stock checks, Redisson distributed locks, RocketMQ async events for notifications, and MySQL optimistic locking to prevent overselling. Deploy locally with H2 for quick tests or Docker Compose for a production-like stack including MySQL, Redis, and Nginx.

Why is it gaining traction?

It stands out by demoing real-world high-concurrency defenses—like per-show locks and multi-layer stock safeguards—in a fun movie domain, unlike generic benchmarks. Devs get instant load testing via frontend seat selection under simulated rushes, plus async event handling for order updates without blocking. The one-command Docker spin-up makes it dead simple to spike traffic and watch protections kick in.

Who should use this?

Java backend engineers prepping for system design interviews on inventory concurrency. Teams building e-commerce or booking apps needing anti-oversell patterns for flash sales. DevOps folks wanting a full-stack high-concurrency benchmark to stress-test infra.

Verdict

Grab it for learning distributed high-concurrency tricks in Java—docs and Docker setup are solid for a 10-star repo. Low 1.0% credibility score flags its early maturity (sparse tests, demo-scale), so fork and harden before prod.

(198 words)

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