Database Challenge: Simultaneous Update of the Same Value
What happens if two separate users update the same database value at the same time? In the video, T-SQL: Simultaneous Updates For Identical Value, we look at this situation. We look at the situation with an example where we have two identical identifiers for values and the values are being set differently for the same identifier. This can be a huge challenge in managing database systems.
Some important questions that are discussed in the video we should consider:
- What type of database systems are we maintaining? What is the purpose of this system?
- How does the type of system affect how we architect our design?
- What example do I use where we'd want to consider a "queue" based approach, even if the information is delayed for the customer?
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This challenge reminds me of a story where I worked with a team who always wanted the latest information about a particular data flow. I understood their desire to have this information, but cautioned that constant monitoring of this would disrupt it. We worked to create a design that would add a low amount of overhead to monitoring, while still providing them with monitoring information to give them a confidence interval that the design was functioning as expected. Custom designs like this can be challenging, but they are imperative when we must balance both the customer's needs with what is the best design for the overall architecture.
The back-end doesn't matter for this challenge because even with NoSQL engines, we can face situations where we have a unique identifier (for instance, in MongoDB the _id field, if none is directly specified) that contains other fields that we want to update. We may architect a solution where we don't face this issue, but if our users can update a specific field by a unique identifier, this will be a challenge.
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Here are a few tips on how to effectively handle concurrent updates:
To deal with concurrent updates easier, you can use these helpful SQL Tools.