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tee_map is very flexible, but probably too verbose. For example computing count and sum requires some boilerplate:
tee_map( rx.pipe( rs.ops.map(lambda i: i.field), rs.ops.ops.count(), ), rx.pipe( rs.ops.map(lambda i: i.field), rs.ops.math.sum() ) )
We should add mappers on the operators to avoid the need of pipe+map on simple aggregates, similar to how this is done on spark:
tee_map( rs.ops.ops.count(lambda i: i.field), rs.ops.math.sum(lambda i: i.field), )
The text was updated successfully, but these errors were encountered:
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tee_map is very flexible, but probably too verbose. For example computing count and sum requires some boilerplate:
We should add mappers on the operators to avoid the need of pipe+map on simple aggregates, similar to how this is done on spark:
The text was updated successfully, but these errors were encountered: