In the early days of computing, there was no need for distributed transactions. As number of applications increased, synchronization of the data become an important issue. Companies paid a lot to maintain synchronized systems in terms of data flow. As a result, the 2 phase commit protocol referred to as XA(eXtended Architecture) arose. This protocol provides ACID-like properties for global transac
In MongoDB, an operation on a single document is atomic. Because you can use embedded documents and arrays to capture relationships between data in a single document structure instead of normalizing across multiple documents and collections, this single-document atomicity obviates the need for distributed transactions for many practical use cases. For situations that require atomicity of reads and
Last time we looked extensively at two-phase commit, a consensus algorithm that has the benefit of low latency but which is offset by fragility in the face of participant machine crashes. In this short note, Iâm going to explain how the addition of an extra phase to the protocol can shore things up a bit, at the cost of a greater latency. The fundamental difficulty with 2PC is that, once the decis
For the next few articles here, Iâm going to write about one of the most fundamental concepts in distributed computing - of equal importance to the theory and practice communities. The consensus problem is the problem of getting a set of nodes in a distributed system to agree on something - it might be a value, a course of action or a decision. Achieving consensus allows a distributed system to ac
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