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This query can also be rewritten if and only if the underlying wheel fare_amount index has been built on the full data. Then
the query can be computed directly through a µWheel Landmark Aggregation (Haw::landmark) which is an O(1) operation.
We must maintain the minimum and maximum timestamps of the time_column to support this. These can then be used to check whether a built wheel index can answer a full-scan aggregation.
The text was updated successfully, but these errors were encountered:
Full-scan Aggregation Example:
This query can also be rewritten if and only if the underlying wheel
fare_amount
index has been built on the full data. Thenthe query can be computed directly through a µWheel Landmark Aggregation (Haw::landmark) which is an O(1) operation.
We must maintain the minimum and maximum timestamps of the
time_column
to support this. These can then be used to check whether a built wheel index can answer a full-scan aggregation.The text was updated successfully, but these errors were encountered: