try this: a = group allrecords all; b = foreach a generate COUNT(allrecords) as total; //or COUNT_STAR
c = order allrecords by thevalue; d = limit c b.total*0.05; e = order allrecords by thevalue desc; f = limit e b.total*0.05; g = union d, f; Shawn On Tue, Sep 13, 2011 at 2:39 PM, Pierre-Luc Brunet <[email protected]> wrote: > Question. > > What would be the best way in Pig to grab a set of data, find the record that > matches the 5th percentile, find the record that matches the 95th percentile > and throw away what's before and after that? > > Obviously, my math doesn't work for this. > > In hope that it helps clarifying what I'm trying to do, here's how I > currently do it in Javascript: > > result.bid_array.sort(function(a,b) { return a - b; }); > var bid_p5 = Math.round(5/100 * result.bid_array.length); > var bid_p95 = Math.round(95/100 * result.bid_array.length); > > result.bid_array.splice(bid_p95, result.bid_array.length - ( > result.bid_array.length - bid_p95)); > result.bid_array.splice(0, bid_p5); > > -- > Pierre-Luc Brunet > ZeStuff - http://www.zestuff.com > > Phone: (877) 5ZESTUFF > Mobile: (514) 600-0234 > Email: [email protected] > > 9320 Saint-Laurent, #502 > Montreal, QC, Canada, H2N 1N7 > > On 2011-09-08, at 10:49 PM, Dmitriy Ryaboy wrote: > >> If you look at the data for #25 you posted below, you will find that there >> is no row such that the price is between 5 and 95%! >> khadgar is such an extreme outlier, it moves the 5% line above everyone >> else, and of course it itself sets the 100% line. >> >> D >> >> On Thu, Sep 8, 2011 at 7:03 PM, Pierre-Luc Brunet <[email protected]>wrote: >> >>> That worked except that for some reason, there's a lot of data that is >>> missing in the final output (compared to what it should return). >>> >>> For example, the file I load has these lines: >>> >>> 7 25 us darkspear a Redacted 4750 >>> 5000 1 >>> 8 25 us emerald-dream a Lornadoome 9500 >>> 10000 1 >>> 21 25 eu khadgar a Haiibanklol 769499 809999 1 >>> 7 25 us queldorei a Worfgt 27862 34827 1 >>> 3 25 us antonidas a Oldcrafter 19000 >>> 20000 1 >>> >>> However, when I load up the script http://pastebin.com/Bk8RBAHt (now >>> grouped on only one column), I don't have any records with 25 as the key. >>> The first 5 rows in my tsv files are >>> >>> 35 3.19973415E7 >>> 36 122914.0 >>> 37 50000.0 >>> 38 416099.9 >>> 39 901333.8571428572 >>> 43 191496.5 >>> 44 236454.0 >>> >>> >>> I really have no idea where the missing rows went :\ >>> >>> -- >>> Pierre-Luc Brunet >>> ZeStuff - http://www.zestuff.com >>> >>> Phone: (877) 5ZESTUFF >>> Mobile: (514) 600-0234 >>> Email: [email protected] >>> >>> 9320 Saint-Laurent, #502 >>> Montreal, QC, Canada, H2N 1N7 >>> >>> On 2011-09-08, at 8:45 PM, Xiaomeng Wan wrote: >>> >>>> you can change >>>> >>>> GENERATE group, auctionsPrice.price AS price:tuple, p5 AS p5, p95 AS p95; >>>> to >>>> GENERATE FLATTEN(group) as (item, region, realm, faction), >>>> FLATTEN(auctionsPrice.price) AS price, p5 AS p5, p95 AS p95; >>>> >>>> then regroup after the foreach block >>>> >>>> p2 = FILTER p1 BY (price >= p5 AND price <= p95); >>>> p2a = group p2 by (item, region, realm, faction); >>>> p3 = FOREACH p2a GENERATE group, AVG(p2.price) AS price; >>>> >>>> or write you own UDF to get the average within the foreach block. It >>>> would be ideal if we can move p2 statement into the foreach block like >>>> this: p2 = filter autionsPrice by price >= p5 and price <= p95, but i >>>> donot think it is supported right now. >>>> >>>> Shawn >>>> >>>> >>>> On Thu, Sep 8, 2011 at 5:54 PM, Pierre-Luc Brunet <[email protected]> >>> wrote: >>>>> Heya! >>>>> >>>>> I've been trying to do something with Pig for about 4 days now and I >>> have nothing but failure to show for it. I was wondering if anybody could >>> look at my queries and slap some sense into me? I've uploaded the queries to >>> pastebin: http://pastebin.com/kzMxYwrY >>>>> >>>>> In short, I want to take my data, group it by 4 fields, then for each >>> group, I want to: >>>>> - Find out the 5th and the 95th percentile for the 'price' >>>>> - Filter each group to remove the records that are < 5th percentile and >>>> 95 percentile. >>>>> >>>>> Then for each group, I want to grab the AVG() of what's left. >>>>> >>>>> I tried many variations of the same code and always ended up with either >>> "incompatible types in GreaterThanEqual Operator" or "Scalar has more than >>> one row in the output." >>>>> >>>>> Any help would be greatly appreciated. Thanks! :) >>>>> -- >>>>> Pierre-Luc Brunet >>>>> >>> >>> >>> > > >
