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Aggregations right now can only be done over a single timeseries. It would be good to allow aggreagations from multiple timeseries. This won't be a problem as long as each aggregate only uses data from one timeseries, but could be more difficult if you can mix multiple sources in the same aggregate, e.g. @aggregate(fn: "sum" arg: "Source1.priceUSD * Source2.amount"), as that will require aligning the two timeseries, i.e., answering the question 'which entry in Source2 corresponds to this entry in Source1')
The text was updated successfully, but these errors were encountered:
Description
Aggregations right now can only be done over a single timeseries. It would be good to allow aggreagations from multiple timeseries. This won't be a problem as long as each aggregate only uses data from one timeseries, but could be more difficult if you can mix multiple sources in the same aggregate, e.g.
@aggregate(fn: "sum" arg: "Source1.priceUSD * Source2.amount")
, as that will require aligning the two timeseries, i.e., answering the question 'which entry in Source2 corresponds to this entry in Source1')The text was updated successfully, but these errors were encountered: