Design of a Key-value Store
Learn about the functional and non-functional requirements and the API design of a key-value store.
We'll cover the following
Requirements
Let’s list the requirements of designing a key-value store to overcome the problems of traditional databases.
Functional requirements
Typically, key-value stores are expected to offer functions such as get
and put
. However, what sets this particular key-value store system apart is its distinct characteristics, explained as follows:
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Configurable service: Some applications might have a tendency to trade strong consistency for higher availability. We need to provide a configurable service so that different applications could use a range of consistency models. We need tight control over the trade-offs between availability, consistency, cost-effectiveness, and performance.
Note: Such configurations can only be performed when instantiating a new key-value store instance and cannot be changed dynamically when the system is operational.
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Ability to always write (when we picked “A” over “C” in the context of CAP): The applications should always have the ability to write into the key-value storage. If the user wants strong consistency, this requirement might not always be fulfilled due to the implications of the CAP theorem.
Note: The context of the problem determines what will be classified as a functional requirement and what will be classified as non-functional. For example, the ability to always write (high availability) is a functional requirement for Amazon’s shopping cart application, while in other cases, high availability may be considered a non-functional requirement. Drawing inspiration from Amazon’s Dynamo key-value store, we can categorize the ability to always write as a functional requirement.
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Hardware heterogeneity: We want to add new servers with different and higher capacities, seamlessly, to our cluster without changing or upgrading existing servers. Our system should be able to accommodate and leverage different capacity servers, ensuring correct core functionality (
get
andput
data) while balancing the workload distribution according to each server’s capacity. This calls for a peer-to-peer design with no distinguished nodes.
Non-functional requirements
The non-functional requirements are as follows:
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Scalability: Key-value stores should run on tens of thousands of servers distributed across the globe. Incremental scalability is highly desirable. We should add or remove the servers as needed with minimal to no disruption to the service availability. Moreover, our system should be able to handle an enormous number of users of the key-value store.
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Fault tolerance: The key-value store should operate uninterrupted despite failures in servers or their components.