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A comment on An Illustrated Proof of the CAP Theorem. Parent comment

Re:An Illustrated Proof of the CAP Theorem by mping on Saturday July 14, 2018 @04:06AM (#17529348)
The immediate application of it is that when you choose a DB, you should be able to tell if it's either CP or AP. The field is full of subtleties (eg Network is not 100% reliable so no system should be CA - it's way subtler but that is the gist of it. I'm no expert btw).

Lots of DB vendors have tried to circumvent the therorem by introducing their own concepts or stretching the definitions. "We can beat the CAP theorem"

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Re:An Illustrated Proof of the CAP Theorem by pdpi on Saturday July 14, 2018 @07:04AM (#17529811)
is CA even possible in a distributed system though? I mean, it’s not like “the network never fails” is a design decision you’re allowed to make (short of removing the network altogether and therefore not being a distributed system at all)
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Re:An Illustrated Proof of the CAP Theorem by lucio on Saturday July 14, 2018 @07:38AM (#17529911)
That's what Google spanner is claiming, that Spanner is Consistent and highly-Available (nine fives, or 99.99999% of the time available), which "in practice" they say is "CA".
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Re:An Illustrated Proof of the CAP Theorem by teraflop on Saturday July 14, 2018 @10:34AM (#17530486)
From the perspective of the CAP theorem, Spanner is unquestionably a CP system, as the original paper [1] makes clear. (It relies on Paxos to elect leaders, and Paxos chooses consistency over availability.)

The "CA in practice" claims are purely marketing.

[1]: https://storage.googleapis.com/pub-tools-public-publication-...

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Re:An Illustrated Proof of the CAP Theorem by amelius on Saturday July 14, 2018 @06:10AM (#17529673)
It would be nice to have an overview of existing/possible workarounds.
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Re:An Illustrated Proof of the CAP Theorem by busterarm on Saturday July 14, 2018 @07:05AM (#17529816)
The point is that eventually it's found out that there aren't any. They're all snake oil.

Usually companies find this out the hard way, with catastrophic loss of business data.

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