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I have a finished simplebank project (Go backend with Postgres) that implements accounts, transfers, and basic transaction logic. I intentionally introduced a subtle concurrency bug related to money transfers and now want someone to debug and fix [login to view URL] problem happens when two or more transfers from the same source account run at the same time. Under concurrent load, the system sometimes allows the account to spend more money than it actually has (double‑spend). With normal, single requests everything appears to work fine: balance checks pass, transfers look correct, and the UI/API responses are OK. The bug only shows up with concurrent requests. 1. Expected behavior: • Balance checks should be safe even under concurrency. • If an account has a balance of 100 and two transfers of 70 run at the same time, at most one should succeed and the final balance must never go below 0 (or below the minimum allowed). 2. Actual behavior: • If an account has a balance of 100 and two transfers of 70 are sent at the same time , sometimes both transfers succeed. • The final balance can become negative or lower than it should be, meaning the account has effectively spent more than its real balance. 4. Suspected cause (on purpose): The account read during transfer likely isn’t properly locked for update, allowing two transactions to see the same old balance and both commit. What I need from you: • Reproduce the issue with concurrent transfers (you can use tests, goroutines, or a simple load script). • Find and fix the concurrency bug so that: • Balance checks are safe under concurrent requests. • Double‑spends are no longer possible. • Update or add tests to verify this behavior under concurrency. To apply: - Include your experience. - Timeline. - Similar project.
Project ID: 40225721
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I specialize in Go backend systems and transactional databases, and this kind of concurrency bug — double-spend under concurrent transfers — is exactly the sort of issue I handle. My Experience Built and maintained high-concurrency financial systems in Go with Postgres, handling transaction safety, deadlocks, and isolation levels. Designed and fixed race conditions in payment and ledger systems, ensuring balance consistency under parallel operations. Strong testing background: unit, integration, and concurrency/load testing in Go. Timeline Bug reproduction & test setup: 1–2 days Fix & code integration: 1–2 days Tests verification & review: 1 day Total: ~3–5 days depending on your environment and testing needs. Similar Work Worked on a ledger system for internal bank transfers in Go/Postgres, where I implemented transaction-safe operations and eliminated race conditions under concurrent requests. Optimized high-throughput payment systems to prevent double-spends and ensure ACID compliance. I can start immediately and ensure your SimpleBank project handles concurrent transfers safely and reliably. Best, Stefan
$10 USD in 7 days
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13 freelancers are bidding on average $22 USD for this job

Hello I will fix your simplebank's concurrency double-spend bug in Go/Postgres. My solution focuses on implementing strong transaction management with `FOR UPDATE` row-level locking on account balances. This ensures atomic transfers, prevents race conditions, and guarantees data integrity within your existing transfer logic. Expect a robust and timely resolution. Giáp Văn Hưng
$15 USD in 7 days
3.1
3.1

Hello, I will debug and fix the concurrency bug in your SimpleBank project. The issue arises when multiple transfers are attempted simultaneously, allowing double-spending. I have extensive experience in developing financial systems with Go and Postgres, including concurrency handling and transaction integrity. I previously resolved similar issues in projects involving real-time transaction processing and multi-threaded environments. Here’s my approach: - Analyze the current transaction flow and identify locking mechanisms. - Implement proper locking on balance checks to prevent race conditions. - Refactor the transfer logic to ensure atomic operations. - Add unit tests to simulate concurrent transfers and validate expected outcomes. - Ensure rollback mechanisms are in place for failed transactions. - Optimize database interactions to improve performance under load. A few questions to clarify: - What is the expected load on the system regarding concurrent transfers? - Are there any existing tests for concurrent operations? - What is your preferred timeline for completing this fix? I’m ready to start immediately and ensure your system operates reliably. Looking forward to your response.
$10 USD in 7 days
3.1
3.1

Hello, I can reproduce and fix the concurrency double‑spend in your simplebank Go/Postgres app. I’ll write focused concurrent tests (goroutines and a load script) to reproduce the race, add proper SELECT ... FOR UPDATE or optimistic locking as appropriate, and ensure transfer logic enforces atomic balance checks and updates inside a transaction so two concurrent transfers cannot both see the same balance. I’ll run fixes under Docker, update tests to assert balances never go negative, and provide a short report and patch. My experience includes production Go services with Postgres, transactional correctness, and concurrency debugging. I can start immediately and deliver the fix, tests, and documentation in 2 days. Do you have an existing test or script I should use as a starting point, or should I create a reproducible concurrent test from scratch? Regards, Andrew
$15 USD in 1 day
2.3
2.3

Hello there, I understand that you are seeking assistance with debugging and fixing a concurrency double-spend bug in the simplebank project, which is built using Go backend with Postgres. The issue arises when multiple transfers from the same source account occur simultaneously, leading to incorrect balance calculations and potential double-spending. I propose to thoroughly analyze the codebase to identify the root cause of the concurrency bug, implement proper locking mechanisms to ensure data consistency during transfers, and conduct rigorous testing to validate the fix. My approach will focus on enhancing the transaction logic to prevent double-spends and guarantee accurate balance checks even under concurrent requests. Key Deliverables: - Identification and resolution of the concurrency double-spend bug - Implementation of robust locking mechanisms for data consistency - Comprehensive testing to validate the fix under concurrent scenarios - Documentation outlining the changes made and best practices for future maintenance I bring extensive experience in debugging complex systems, particularly in Go and database management. I will share relevant details of my portfolio in a direct message for your review. I am eager to discuss your project further and collaborate on resolving this critical issue. Best regards, Minhal
$13 USD in 7 days
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Hello, I’m a backend developer with strong experience in Go, PostgreSQL, and transaction-safe system design. I have worked on financial-style backends involving account balances, transfer logic, concurrency control, and transactional integrity. The issue you describe is a classic race condition caused by missing row-level locking or improper transaction isolation during concurrent transfers. I have previously fixed similar double-spend problems using proper SQL transaction handling (SELECT FOR UPDATE), consistent ordering of updates to avoid deadlocks, and enforcing atomic balance checks inside database transactions rather than in application logic alone. Here is how I will approach your project: Reproduce the issue using concurrent goroutines and transaction tests. Analyze transaction isolation level and current query patterns. Implement proper row locking (e.g., FOR UPDATE) or safe balance update queries. Ensure transfers are fully atomic. Add stress tests to guarantee no double-spend under concurrent load. I can deliver the fix, tested and documented, within 1–2 days. I’m comfortable working with Docker environments and reviewing existing Go codebases efficiently. Let’s make your simplebank concurrency-safe and production-ready.
$13 USD in 7 days
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Hi there, I can reproduce and fix your Go + Postgres transfer double-spend bug. I’ve worked on ledger/transfer systems where correctness under concurrency is critical. I’ll add a concurrent test (goroutines) that runs two+ transfers from the same source and asserts only one succeeds when funds are insufficient and the balance never goes below zero. Then I’ll fix the transaction by locking the source row (SELECT … FOR UPDATE) before checking balance, or by using an atomic conditional update (UPDATE … WHERE balance >= amount RETURNING …) to prevent overspend. I’ll also ensure consistent lock ordering to avoid deadlocks. Timeline: 1–2 days (reproduce, patch, tests, PR). Similar work: hardened wallet/transfer flows in Postgres using row-level locks and atomic updates with concurrency stress tests. Best regards
$50 USD in 1 day
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Hi, I have solid experience working with backends and PostgreSQL, especially in transactional systems where data consistency and concurrency control are critical. From your description, this clearly looks like a classic concurrency issue where multiple transactions are reading the same balance state before it’s safely synchronized. These kinds of bugs don’t show up under normal load, but become visible when concurrent requests hit the same resource — so the fact that you can reproduce it under parallel transfers is a strong indicator of a race condition at the database or transaction level. My approach would be: First, reliably reproduce the issue using concurrent tests (goroutines or load simulation). Analyze how the transfer logic interacts with the database (transaction boundaries, isolation level, locking strategy). Implement a fix that guarantees balance checks remain correct under concurrency. Add or update automated tests to ensure double-spends are no longer possible, even under high parallel load. Timeline Depending on code clarity, this type of issue can typically be in around 2–3 days total for a clean, well-tested solution. If you’d like, I can start by reviewing the transfer implementation and outlining the exact fix strategy before making changes. Looking forward to hearing from you.
$10 USD in 3 days
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