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Consider a hypothetical datasource with a dimension called "event_type" and various metrics (let's say 25 metrics).
Suppose a user runs a query on this datasource with a large number of filtered aggregators, two for each metric.
Half of these filtered aggregators share a filter on event_type = "A" and the other half share a filter on event_type = "B".
Because there is more than one filter condition, the filter cannot be pushed up to the query itself.
It could be a useful optimization if Druid can detect when filters are identical across multiple filtered aggregators and only apply these filters once per row, instead of once per aggregator.
The text was updated successfully, but these errors were encountered:
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Consider a hypothetical datasource with a dimension called "event_type" and various metrics (let's say 25 metrics).
Suppose a user runs a query on this datasource with a large number of filtered aggregators, two for each metric.
Half of these filtered aggregators share a filter on event_type = "A" and the other half share a filter on event_type = "B".
Because there is more than one filter condition, the filter cannot be pushed up to the query itself.
It could be a useful optimization if Druid can detect when filters are identical across multiple filtered aggregators and only apply these filters once per row, instead of once per aggregator.
The text was updated successfully, but these errors were encountered: