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jorzel/concurrency-control: In this repo I would like to show 4 strategies of concurrency control for writing data using Python SQLAlchemy ORM and PostgresSQL (however this examples could be easily transformed to plain SQL).

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Couldn't load subscription status.  Retry In this repo I would like to show 4 strategies of concurrency control for writing data using Python SQLAlchemy ORM and PostgresSQL (however this examples could be easily transformed to plain SQL). https://medium.com/towardsdev/concurrent-write-problem-afe4dbe47ae7 Concurrency control is one of the most challenging aspects of software development. Sometimes, we have a tendency to wishful thinking and naive beliefs that our advanced toolkit like a web framework, a database or an ORM solve all our issues seamlessly underhood. However, when we tackle non-trivial problem (like concurrent write), we have to demonstrate some understanding how these tools genuinely work (and maybe why they are configured in the specific way). Suppose we have a PostgresSQL database with a table example that has an important integer column (important_counter) and two separated transactions query important_counter value from row with id = 1 at

Concurrent write problem https://medium.com/towardsdev/concurrent-write-problem-afe4dbe47ae7 Introduction Concurrency control is one of the most challenging aspects of software development. Sometimes, we have a tendency to wishful thinking and naive beliefs that our advanced toolkit like a web framework, a database or an ORM solve all our issues seamlessly underhood. However, when we tackle non-trivial problem (like concurrent write), we have to demonstrate some understanding how these tools genuinely work (and maybe why they are configured in the specific way). Concurrent write problem…

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