Invalidating query cache imate dating marell l williams
In this scenario, you will want to monitor the memory usage of the Gateway.This is especially important to consider when dealing with queries that accept a timestamp parameter that uses an expression like now() that will return time to the current second.
Tables that update often like historical storage tables are bad candidates.In this case, Druid will potentially cache query results for immutable historical segments, while re-computing results for the real-time segments on each query.Whole-query result level caching is not useful in this scenario, since it would be continuously invalidated.Brokers support both segment-level and whole-query result level caching.Segment-level caching is controlled by the parameters ..
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Enabling segment-level caching on the Broker can yield faster results than if query caches were enabled on Historicals for small clusters.