The last thing I wrote about was the CAP Theorem. Last week, Tom Hall visited our office and gave a very interesting talk, the central thesis of which was that the CAP Theorem, as often explained, is incorrect – or at least not very meaningful.
The first point, explained very clearly in CAP Confusion: Problems with 'partition tolerance' is that P, "Partition Tolerance", as per the proof of the CAP Theorem, is not a property of your application; rather it is a property of the network it's on. The network may partition. To quote from Henry Robinson's Cloudera article:
"Partition tolerance means simply developing a coping strategy by choosing which of the other system properties to drop. This is the real lesson of the CAP theorem – if you have a network that may drop messages, then you cannot have both availability and consistency, you must choose one."
The rest of the article is very worth reading.
The second point Tom covered is from Problems with CAP, and Yahoo's little known NoSQL system by Daniel Abadi. Abadi covers the point above very clearly, and then points out that there is a missing letter from CAP – L, for latency.
"Keeping replicas consistent over a wide area network requires at least one message to be sent over the WAN in the critical path to perform the write... Unfortunately, a message over a WAN significantly increases the latency of a transaction... Consequently, in order to reduce latency, replication must be performed asynchronously. This reduces consistency."
He suggests CAP should be rewritten as PACELC:
"If there is a partition (P) how does the system tradeoff between availability and consistency (A and C); else (E) when the system is running as normal in the absence of partitions, how does the system tradeoff between latency (L) and consistency (C)?"
Tom's talk covered many other interesting topics and is worth catching if you can. One of the other many interesting things Tom talked about was Vector Clocks. I won't go into that here, but they are worth reading up on! Here is a potential place to start...
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