Low-latency, high-throughput web services are typically achieved through partitioning, replication, and caching. Although these strategies and the general design of large-scale distributed search systems are well known, the academic literature provides surprisingly few details on deployment and operational considerations in production environments. In this paper, we address this gap by sharing the distributed search architecture that underlies Twitter user search, a service for discovering…
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