Eventual consistency: All replicas converge to the same state given enough time
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Eventual consistency: All replicas converge to the same state given enough time
CAP theorem states: you can have at most 2 of consistency, availability, partition tolerance
CAP theorem: A system can achieve at most two out of Consistency, Availability, Partition Tolerance
ACID
ACID guarantees data validity in transactions
consistent hashing does: minimizes remapping when nodes join/leave
Consistent hashing distributes data across nodes, minimizing remapping when nodes join/leave
consistent hashing solves: minimizes key redistribution when servers are added/removed
Consistent hashing minimizes key redistribution when servers are added/removed
the optional stopping theorem says about martingales and stopping times
The optional stopping theorem states that for a martingale, stopping at a stopping time with finite expectation preserves the martingale property
merge sort: O(n log n) always
Merge sort consistently performs at O(n log n) time complexity for any input size
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