> Gets a bit hairy when doing say a shitload of gets thought.. no? If you by "hairy" you mean the code is ugly, it was written for maximal clarity. I think you'll find a few sensible loops makes it fairly clean. Otherwise I'm not sure what you mean.
-----Original Message----- From: Software Dev [mailto:[email protected]] Sent: Tuesday, April 29, 2014 5:02 PM To: [email protected] Subject: Re: Help with row and column design > Yes. See total_usa vs. total_female_usa above. Basically you have to > pre-store every level of aggregation you care about. Ok I think this makes sense. Gets a bit hairy when doing say a shitload of gets thought.. no? On Tue, Apr 29, 2014 at 4:43 PM, Rendon, Carlos (KBB) <[email protected]> wrote: > You don't do a scan, you do a series of gets, which I believe you can batch > into one call. > > last 5 days query in pseudocode > res1 = Get( hash("2014-04-29") + "2014-04-29") > res2 = Get( hash("2014-04-28") + "2014-04-28") > res3 = Get( hash("2014-04-27") + "2014-04-27") > res4 = Get( hash("2014-04-26") + "2014-04-26") > res5 = Get( hash("2014-04-25") + "2014-04-25") > > For each result you look for the particular column or columns you are > interested in Total_usa = res1.get("c:usa") + res2.get("c:usa") + > res3.get("c:usa") + ... > Total_female_usa = res1.get("c:usa:sex:f") + ... > > "What happens when we add more fields? Do we just keep adding in more column > qualifiers? If so, how would we filter across columns to get an aggregate > total?" > > Yes. See total_usa vs. total_female_usa above. Basically you have to > pre-store every level of aggregation you care about. > > -----Original Message----- > From: Software Dev [mailto:[email protected]] > Sent: Tuesday, April 29, 2014 4:36 PM > To: [email protected] > Subject: Re: Help with row and column design > >> The downside is it still has a hotspot when inserting, but when >> reading a range of time it does not > > How can you do a scan query between dates when you hash the date? > >> Column qualifiers are just the collection of items you are >> aggregating on. Values are increments. In your case qualifiers might >> look like c:usa, c:usa:sex:m, c:usa:sex:f, c:italy:sex:m, >> c:italy:sex:f, c:italy, > > What happens when we add more fields? Do we just keep adding in more column > qualifiers? If so, how would we filter across columns to get an aggregate > total?
