This is a fantastic explanation of isolation levels, especially with the relatable e-commerce examples! It really clarifies the potential consequences of each level.
In the real world, when choosing an isolation level, is there a specific decision-making process you recommend? Perhaps a framework to consider when prioritizing data consistency versus application concurrency?
According to me, the real-world implementation is almost always driven by business requirements. If the business is okay with eventual consistency, then I'd go for simulating scenarios which would tell me the ideal consistency level for my application based on the concurrent users my application expects.
This is a fantastic explanation of isolation levels, especially with the relatable e-commerce examples! It really clarifies the potential consequences of each level.
In the real world, when choosing an isolation level, is there a specific decision-making process you recommend? Perhaps a framework to consider when prioritizing data consistency versus application concurrency?
Thank you!
According to me, the real-world implementation is almost always driven by business requirements. If the business is okay with eventual consistency, then I'd go for simulating scenarios which would tell me the ideal consistency level for my application based on the concurrent users my application expects.
I understood the isolation better with this article than in the database course I took in college, nice job!
Thank you so much Marco!!
nice article with hands on examples, thanks a lot Pratik
Thanks Ashwani!!