我有一只红树收集,一只希望获得特定地点名称、时装和变式补贴的总数。 由于我们拥有大量数据,因此它将更好地利用地图/uce。 难道有人会向我提出任何建议吗?
这里我收集的json格式
{ "_id" : ObjectId( "4e3c280ecacbd1333b00f5ff" ),
"timestamp" : "20110805",
"variants" : { "94" : { "number_of_ad_clicks" : 41,
"number_of_search_keywords" : 9,
"total_duration" : 0,
"os" : { "os_2" : 2,
"os_1" : 1,
"os_0" : 0 },
"countries" : { "ge" : 6,
"ca" : 1,
"fr" : 8,
"uk" : 4,
"us" : 6 },
"screen_resolutions" : { "(320, 240)" : 1,
"(640, 480)" : 5,
"(1024, 960)" : 5,
"(1280, 768)" : 5 },
"widgets" : { "widget_1" : 1,
"widget_0" : 0 },
"languages" : { "ua_uk" : 8,
"ca_en" : 2,
"ca_fr" : 2,
"us_en" : 5 },
"search_keywords" : { "search_keyword_8" : 8,
"search_keyword_5" : 5,
"search_keyword_4" : 4,
"search_keyword_7" : 7,
"search_keyword_6" : 6,
"search_keyword_1" : 1,
"search_keyword_3" : 3,
"search_keyword_2" : 2 },
"number_of_pageviews" : 18,
"browsers" : { "browser_4" : 4,
"browser_0" : 0,
"browser_1" : 1,
"browser_2" : 2,
"browser_3" : 3 },
"keywords" : { "keyword_5" : 5,
"keyword_4" : 4,
"keyword_1" : 1,
"keyword_0" : 0,
"keyword_3" : 3,
"keyword_2" : 2 },
"number_of_keyword_clicks" : 83,
"number_of_visits" : 96 } },
"site_name" : "fonter.com",
"number_of_variants" : 1 }
Here is my try. but failed. He is my try.
m = function() {
emit(this.query, {variants: this.variants});
}
r = function(key , vals) {
var clicks = 0 ;
for(var i = 0; i < vals.length(); i++){
clicks = vals[i][ number_of_ad_clicks ];
}
return clicks;
}
res = db.variant_daily_collection.mapReduce(m, r, {out : "myoutput", "query":{"site_name": fonter.com , timestamp : 20110805 }})
db.myoutput.find()
could somebody any suggestion?
Thank you very much, i try you solution but nothing return. I invoke the mapreduce in the following, is there any thing wrong?
res = db.variant_daily_collection.mapReduce(map, reduce, {out : "myoutput", "query":{"site_name": facee.com , timestamp : 20110809 , variant_id : 305 }})
db.myoutput.find()