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Once you go from storing data on a single server to multiple servers, | |
you are dealing with a _distributed system_. All distributed | |
systems are subject to the CAP theorem, which states the following: | |
[quote, '[<<cap-theorem-2014,CAP Theorem 2014>>]'] | |
____ | |
It is impossible for a distributed computer system to simultaneously | |
provide all three of the following guarantees: | |
. Consistency (all nodes see the same data at the same time) | |
. Availability (a guarantee that every request receives a response about whether it succeeded or failed) | |
. Partition tolerance (the system continues to operate despite arbitrary message loss or failure of part of the system) | |
____ | |
Consistency (C), Availability (A), Partition Tolerance (P): pick two. | |
In practice, it's always possible that a server will fail or the | |
network will drop messages, so all distributed systems _must_ | |
pick P—that is, you can't sacrifice partition tolerance | |
[<<hale-2010,Hale 2010>>]. So the real | |
question is, in the presence of network partitions, do you maintain | |
consistency or availability? |
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