Augmented inverted indexes to track causality in eventually consistent data stores

Abstract

We propose a novel algorithm for providing highly-available and fault-tolerant distributed search queries in a Dynamo-inspired distributed data store. It leverages the use of advanced causality tracking mechanisms to allow quorum reads of an inverted index, while maintaining the ability to reason about the correct response. This algorithm improves on existing distributed search mechanisms by providing higher availability in the event of failures, given the use of multiple replicas.