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Presto
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Presto® on Apache Kafka® At Uber Scale
Uber connected Presto and Apache Kafka to provide lightweight, interactive SQL queries over Kafka topics for ad-hoc analysis of real-time data. The work addresses operational requests such as checking whether an order UUID appears in a service’s input or output streams, where streaming processors are poorly suited to historical point lookups and real-time OLAP requires onboarding and dedicated resources. The enhanced connector discovers Kafka clusters, topics, and schemas on demand, supports multiple Kafka clusters, caches metadata, enforces _timestamp or _partition_offset filters, and uses a shared Kafka client ID with broker quotas to control consumption. After rollout, example lookups returned within a few seconds, daily usage reached 6,000 queries, and the teams reported improved productivity, while concurrent queries may take longer under quota control.
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