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Multithreading in .NET for Batch Processing: What Actually Has to Change

A loop that processes 500 employee records one at a time is simple to reason about and easy to get right. Making that same loop run on multiple threads at once can cut processing time substantially, but it isn't a change you can make casually. This article walks through what multithreading actually means, how to apply it to a real batch-processing scenario, and the one structural change that…

Multithreading in .NET for batch processing can significantly reduce processing time, but it requires careful consideration to avoid introducing errors. A common mistake is sharing a single database connection and transaction across multiple threads, which can lead to data corruption and undefined transaction states. To safely implement multithreading, each thread should have its own connection and transaction, ensuring that data integrity and correctness are maintained throughout the processing.

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ERC20 Edge Cases Every Smart Contract Engineer Should Know

Your protocol launches. Everything passes the test suite with 100% coverage. Your audits are clean. Then, an unexpected token enters your liquidity pool.

  • Fee-on-transfer and rebasing tokens can lead to systemic insolvency due to balance discrepancies.
  • Always use OpenZeppelin s SafeERC20 library to normalize token behavior and prevent silent failures.

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