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Mensor

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Discussion around mensor1 Servers

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23 Mar 2018
@wardrop:matrix.orgMatthew Wardrop changed the history visibility to "world_readable" from "shared".13:05:32
@wardrop:matrix.orgMatthew Wardrop invited @danfrankj:matrix.orgdanfrankj.20:43:26
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24 Mar 2018
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17 Apr 2018
@danfrankj:matrix.orgdanfrankj Matthew Wardrop: question, for mensor, do measure providers need to know about external measures / via_names, etc? I wonder if there's a way for them to operate under a simplified contract. 18:29:53
@wardrop:matrix.orgMatthew WardropIn order to handle the intermediate representation from other compatible measure providers, I think they do.19:26:31
@wardrop:matrix.orgMatthew WardropI've just pushed in my SQL implementation, btw.19:26:40
@wardrop:matrix.orgMatthew WardropDid you see it?19:26:46
@danfrankj:matrix.orgdanfrankjtaking a look now... does it handle subject aggregations?20:39:21
@wardrop:matrix.orgMatthew WardropSubject meaning dimensions?20:39:58
@wardrop:matrix.orgMatthew WardropThe only thing it doesn't currently handle is constraints.20:40:10
@wardrop:matrix.orgMatthew WardropI'll get to that soon :)20:40:19
@danfrankj:matrix.orgdanfrankjI mean, the 2-stage aggregations... e.g. you might want to compute "orders" and "orderers" from the same source20:41:25
@wardrop:matrix.orgMatthew WardropWith some limitations, yes.20:42:11
@wardrop:matrix.orgMatthew WardropCheck out the tests/test_pandas_provider.py test/example20:42:46
@wardrop:matrix.orgMatthew WardropEverything done in pandas there should work equally well with the SQL backend20:43:34
@wardrop:matrix.orgMatthew WardropMissing functionality from all backends: proper support for constraints and multi-key joins (though this is now partially supported by the backend).20:44:42
@wardrop:matrix.orgMatthew WardropThe first of these is a top priority for me, so will be added soon.20:45:10
@wardrop:matrix.orgMatthew WardropThe latter is useful, but challenging and less immediately useful.20:45:48
@danfrankj:matrix.orgdanfrankjjust looked at the tests ... I don't see any example of "identifier aggregations"20:47:59
@danfrankj:matrix.orgdanfrankje.g. orderers by date20:48:26
@wardrop:matrix.orgMatthew WardropSo, e.g., the number of orders placed on a given date?20:50:13
@wardrop:matrix.orgMatthew Wardropm.evaluate('order', measures=['count'], where=['ds="2018-01-01"'])20:50:42

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