Question

是否有更快捷的方式在CouchDB上创建视图？我的数据是这样的：

{"docs":[{
        "c_custkey": 1,
        "c_name": "Customer#000000001",
        "c_address": "IVhzIApeRb",
        "c_city": "MOROCCO  0",
        "c_nation": "MOROCCO",
        "c_region": "AFRICA",
        "lineorder": [{
                    "lo_orderkey": 164711,
                    "lo_linenumber": 1,
                    "lo_custkey": 1,
                    "lo_partkey": 82527,
                    "lo_suppkey": 1848,
                    "lo_quantity": 34,
                    "lo_extendedprice": 5132368,
                    "lo_revenue": 2816872,
                    "orderdate": [{
                        "d_datekey": 19920426,
                        "d_date": "April 26, 1992",
                        "d_dayofweek": "Monday",
                        "d_month": "April",
                        "d_year": 1992,
                        "d_yearmonthnum": 199204,
                    }],
                    "part": [{
                        "p_partkey": 82527,
                        "p_name": "steel tomato",
                        "p_mfgr": "MFGR#4",
                        "p_category": "MFGR#45",
                        "p_brand1": "MFGR#452",
                    }],
                    "supplier": [{
                        "s_city": "MOZAMBIQU8",
                        "s_nation": "MOZAMBIQUE",
                        "s_region": "AFRICA",
                    }]
                }, {
                    "lo_orderkey": 164711,
                    "lo_linenumber": 2,
                    "lo_custkey": 1,
                    "lo_partkey": 26184,
                    "lo_suppkey": 1046,
                    "lo_orderdate": 19920426,
                    "lo_quantity": 15,
                    "lo_extendedprice": 1665270,
                    "orderdate": [{
                        "d_datekey": 19920426,
                        "d_date": "April 26, 1992",
                        "d_dayofweek": "Monday",
                        "d_month": "April",
                        "d_year": 1992,
                        "d_yearmonthnum": 199204,
                    }],
                    "part": [{
                        "p_partkey": 26184,
                        "p_name": "chartreuse green",
                        "p_mfgr": "MFGR#2",
                        "p_category": "MFGR#23",
                        "p_brand1": "MFGR#2329",
                    }],
                    "supplier": [{
                        "s_suppkey": 1046,
                        "s_city": "SAUDI ARA2",
                        "s_nation": "SAUDI ARABIA",
                        "s_region": "MIDDLE EAST",
                    }]
                },...

我正在使用FUTON以这种方式创建视图，但需要30分钟：

地图功能：

function(doc) 
{ 
var c_city=doc.c_city
var c_nation=doc.c_nation
if (c_nation=="UNITED STATES"){
   for each (lineorder in doc.lineorder) { 
      for each (supplier in lineorder.supplier){
        var s_city=supplier.s_city
        var s_nation=supplier.s_nation
      }
      if (s_nation=="UNITED STATES"){
      for each (orderdate in lineorder.orderdate) {
        var d_year=orderdate.d_year
      }
      if (d_year>=1992 && d_year<=1997){
       emit({d_year:d_year,c_city:c_city,s_city:s_city},lineorder.lo_revenue); 
      }
      }   
   }
}
}

减少功能：“ - _sum”

我的数据库有2 GB这类数据。

Answer 1

这显然不是你的真实观点（lineorder与lineorders并且没有lo_revenue），所以我不会浪费时间来表达它。相反，让我说对于2GB数据集，谁知道每个文档有多少lineorders次迭代，30分钟并不令人惊讶。

在couchDB上创建视图的更快捷方式

1 个答案: