Declarative programming over eventually consistent data stores

8 years 12 days ago

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User-facing online services utilize geo-distributed data stores to minimize latency and tolerate partial failures, with the intention to provide a fast, always-on experience. However, geo-distribution does not come for free; application developers have to contend k consistency behaviors, and the lack of abstractions to composably construct high-level replicated data types, necessitating the need for complex application logic and invariably exposing inconsistencies to the user. Some commercial distributed data stores and several academic proposals provide a lattice of consistency levels, with stronger consistency guarantees incurring increased latency and throughput costs. However, correctly assigning the right consistency level for an operation requires subtle reasoning and is often an error-prone task. In this paper, we present QUELEA, a declarative programming model for eventually consistent data stores (ECDS), equipped with a contract language, capable of specifying ﬁne-grained a...

K. C. Sivaramakrishnan, Gowtham Kaki, Suresh Jagan

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