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In this paper, we present an implementation of a cuckoo filter for membershiptesting, optimized for distributed data stores operating in high workloads. Inlarge databases, querying becomes inefficient using traditional search methods.To achieve optimal performance it is necessary to use probabilistic datastructures to test the membership of a given key, at the cost of getting falsepositives while querying data. The widely used bloom filters can be used forthis, but they have limitations like no support for deletes. To improve uponthis we use a modified version of the cuckoo filter that gives better amortizedtimes for search, with less false positives.

Optimizing Cuckoo Filter for high burst tolerance,low latency, and high throughput