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thinking in key value stores
The document discusses the crawler infrastructure at Hover.in, detailing its utilization of key-value stores and parallel computing to enhance efficiency, reliability, and speed. It elaborates on the implementation of flow control, metadata storage using Tokyo Cabinet, and in-memory caching using Erlang's Mnesia as part of its data handling strategy. Furthermore, it covers various use cases, advantages of in-memory data structures, and key-value store features that support the platform's operations.
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