我有一个包含这样一个条目的集合：
{
"gstin": "22AAAAA1301E1T8",
"sname": "RR&Co",
"fp": "112016",
"gt": 1234567.89,
"curr_gt": 1232.00,
"b2b": [{
"ctin": "32DS233TY781233",
"inum": "TEST12345",
"idt": "15-11-2016",
"ival": 20000.01,
"pos": "GJ",
"rchrg": "N",
"type": "Regular",
"itms": [{
"num": 1,
"itm_det": {
"rt": 5,
"txval": 15000.23,
"iamt": 1000.20,
"camt": 1000.25,
"samt": 0,
"csamt": 0
},
"itc": {
"elg": "ip",
"tc_i": 0.0,
"tc_c": 0.0,
"tc_s": 0.0,
"tc_cs": 0.0
}
},
{
"num": 2,
"itm_det": {
"rt": 6,
"txval": 16000.23,
"iamt": 1600.20,
"camt": 1600.25,
"samt": 100,
"csamt": 50
},
"itc": {
"elg": "ip",
"tc_i": 2.0,
"tc_c": 1.0,
"tc_s": 3.0,
"tc_cs": 5.0
}
}],
"custom": {
"custom_<<attr1_name>>": "",
"custom_<<attr2_name>>": "",
"custom_<<attr3_name>>": "",
"custom_<<attr4_name>>": ""
}
},
{
"ctin": "32DS233TY781234",
"inum": "GUEST12345",
"idt": "18-11-2016",
"ival": 10000.01,
"pos": "GJ",
"rchrg": "Y",
"type": "RD",
"itms": [{
"num": 1,
"itm_det": {
"rt": 6,
"txval": 14000.23,
"iamt": 1200.20,
"camt": 1300.25,
"samt": 0,
"csamt": 0
},
"itc": {
"elg": "ip",
"tc_i": 0.0,
"tc_c": 0.0,
"tc_s": 0.0,
"tc_cs": 0.0
}
}],
"custom": {
"custom_<<attr1_name>>": "",
"custom_<<attr2_name>>": "",
"custom_<<attr3_name>>": "",
"custom_<<attr4_name>>": ""
}
},
{
"ctin": "32DS233TY781235",
"inum": "HOST12345",
"idt": "18-11-2016",
"ival": 20000.01,
"pos": "GJ",
"rchrg": "Y",
"type": "RD",
"itms": [{
"num": 1,
"itm_det": {
"rt": 5,
"txval": 16000.23,
"iamt": 1300.20,
"camt": 1400.25,
"samt": 0,
"csamt": 0
},
"itc": {
"elg": "ip",
"tc_i": 0.0,
"tc_c": 0.0,
"tc_s": 0.0,
"tc_cs": 0.0
}
}],
"custom": {
"custom_<<attr1_name>>": "",
"custom_<<attr2_name>>": "",
"custom_<<attr3_name>>": "",
"custom_<<attr4_name>>": ""
}
}
],
"imp_g": [{
"port_code": "INATT2",
"gstin": "27AHQPA8875L1ZU",
"boe_num": "25662",
"boe_dt": "18-04-2016",
"boe_val": 23456.20,
"txval": 100000.00,
"type": "Import",
"itms": [{
"num": 1,
"itm_det": {
"rt": 5,
"txval": 15000.23,
"iamt": 1000.20,
"camt": 1000.25,
"samt": 0,
"csamt": 0
},
"itc": {
"elg": "ip",
"tc_i": 0.0,
"tc_c": 0.0,
"tc_s": 0.0,
"tc_cs": 0.0
}
}],
"custom": {
"custom_<<attr1_name>>": "",
"custom_<<attr2_name>>": "",
"custom_<<attr3_name>>": "",
"custom_<<attr4_name>>": ""
}
}],
"cdnr": [{
"ctin": "32DS233TY781223",
"ntty": "credit",
"nt_num": "123356a",
"nt_dt": "13-04-2016",
"pos": "MH",
"itms": [{
"num": 1,
"itm_det": {
"rt": 5,
"txval": 15000.23,
"iamt": 1000.20,
"camt": 1000.25,
"samt": 0,
"csamt": 0
},
"itc": {
"elg": "ip",
"tc_i": 0.0,
"tc_c": 0.0,
"tc_s": 0.0,
"tc_cs": 0.0
}
}],
"custom": {
"custom_<<attr1_name>>": "",
"custom_<<attr2_name>>": "",
"custom_<<attr3_name>>": "",
"custom_<<attr4_name>>": ""
}
}],
"nil": [{
"sply_ty": "INTRB2B",
"cpddr": 123.45,
"exptdsply": 123.45,
"nildsply": 1470.85,
"ngsply": 1258.5,
"custom": {
"custom_<<attr1_name>>": "",
"custom_<<attr2_name>>": "",
"custom_<<attr3_name>>": "",
"custom_<<attr4_name>>": ""
}
}],
"isd": [{
"gstin": "123456a",
"ty": "isd",
"inum": "1213A",
"idt": "13-04-2016",
"itms": [{
"num": 1,
"itm_det": {
"ig_cr": 123,
"cg_cr": 12,
"sg_cr": 18,
"cs_cr": 9
},
"itc": {
"ig_amt": 123.0,
"cg_amt": 234.0,
"sg_amt": 345.00,
"cs_amt": 1000.25
}
}],
"custom": {
"custom_<<attr1_name>>": "",
"custom_<<attr2_name>>": "",
"custom_<<attr3_name>>": "",
"custom_<<attr4_name>>": ""
}
}],
"tctd": [{
"ty": "tds",
"ctin": "123456a",
"grval": 123.00,
"slval": 234.00,
"nt_val": 345.00,
"iamt": 14.52,
"camt": 78.52,
"samt": 12.9,
"custom": {
"custom_<<attr1_name>>": "",
"custom_<<attr2_name>>": "",
"custom_<<attr3_name>>": "",
"custom_<<attr4_name>>": ""
}
}],
"atr": [{
"ty": "P",
"ad_amt": 10000.00,
"month": "mm",
"inter": [{
"rt": 18,
"txval": 15000.23,
"iamt": 0,
"csamt": 0,
"pos": "GJ"
}, {
"rt": 18,
"txval": 15000.23,
"iamt": 0,
"csamt": 0,
"pos": "KA"
}],
"intra": [{
"rt": 18,
"txval": 15000.23,
"crt": 9.00,
"camt": 1000.25,
"srt": 9.00,
"samt": 0,
"csamt": 0
}],
"custom": {
"custom_<<attr1_name>>": "",
"custom_<<attr2_name>>": "",
"custom_<<attr3_name>>": "",
"custom_<<attr4_name>>": ""
}
}],
"itc": [{
"amt_type": "Amount in terms of rule 2(2) of ITC Rules",
"action": "ad",
"iamt": 14.52,
"camt": 78.52,
"samt": 12.9,
"csamt": 12.3,
"custom": {
"custom_<<attr1_name>>": "",
"custom_<<attr2_name>>": "",
"custom_<<attr3_name>>": "",
"custom_<<attr4_name>>": ""
}
}],
"itcm": [{
"mis_type": "ITC claimed on mismatched/duplication of invoice /debit notes",
"action": "add",
"iamt": 14.52,
"camt": 78.52,
"samt": 12.9,
"csamt": 12.3,
"custom": {
"custom_<<attr1_name>>": "",
"custom_<<attr2_name>>": "",
"custom_<<attr3_name>>": "",
"custom_<<attr4_name>>": ""
}
}],
"hsn": [{
"num": 1,
"ty": "hsn",
"desc": "hsnsummary",
"uqc": "1",
"qty": 2.05,
"txval": 10.23,
"iamt": 14.52,
"camt": 78.52,
"samt": 12.9,
"csamt": 500,
"val": 1000,
"custom": {
"custom_<<attr1_name>>": "",
"custom_<<attr2_name>>": "",
"custom_<<attr3_name>>": "",
"custom_<<attr4_name>>": ""
}
}]
}
现在我想为每个'ctin'显示每个'b2b'什么是总'txval'和（'iamt'，'camt'，'samt'）的总和。每个itms可能在一个数组中有多个文档。
答案 0 :(得分：0)
您可以使用$map和$sum运算符通过聚合框架从MongoDB获取结果：
db.horrible.aggregate([
{ "$project": {
"b2b": {
"$map": {
"input": "$b2b",
"as": "b",
"in": {
"ctin": "$$b.ctin",
"txval": { "$sum": "$$b.itms.itm_det.txval" },
"iamt": { "$sum": "$$b.itms.itm_det.iamt" },
"camt": { "$sum": "$$b.itms.itm_det.camt" },
"samt": { "$sum": "$$b.itms.itm_det.samt" }
}
}
}
}}
])
$map运算符基本上将数组作为输入，然后在每个项目上处理表达式以获得结果。在这种情况下，我们会从＆＃34;内部＆＃34;返回您想要总计的每个键的"ctin"值和$sum。 "itms"数组。
但是我会注意到，因为你并不是真的＆＃34;聚合＆＃34;我们几乎可以简单地迭代光标并简单地应用相同类型的转换。您通过简单地仅使用basic projection返回所需文档的键来保存所传输的数据，在这种情况下只是"b2b"数组和默认"_id"：
这可以用任何语言完成，但对于通过MongoDB shell的JavaScript，这基本上使用相同的.map()和.reduce()数组方法
db.horrible.find({ },{ "b2b": 1 }).map(doc => {
var obj = { "_id": doc._id };
obj.b2b = doc.b2b.map(b => {
var inner = { ctin: b.ctin };
["txval", "iamt", "camt", "samt"].forEach( k =>
inner[k] = b.itms.map( e => e.itm_det[k] ).reduce((a,b) => a + b,0)
);
return inner;
});
return obj;
})
两种方法都产生相同的结果：
{
"_id" : ObjectId("594717793468c33cb7523148"),
"b2b" : [
{
"ctin" : "32DS233TY781233",
"txval" : 31000.46,
"iamt" : 2600.4,
"camt" : 2600.5,
"samt" : 100
},
{
"ctin" : "32DS233TY781234",
"txval" : 14000.23,
"iamt" : 1200.2,
"camt" : 1300.25,
"samt" : 0
},
{
"ctin" : "32DS233TY781235",
"txval" : 16000.23,
"iamt" : 1300.2,
"camt" : 1400.25,
"samt" : 0
}
]
}
答案 1 :(得分：0)
谢谢，我能够放松一下，但你的一个很漂亮。
db.GSTR2SAVE.aggregate([
{ $project: { gstin: 1, "b2b.ctin": 1,
"b2b.itms.itm_det.txval": 1, "b2b.itms.itm_det.iamt": 1,
"b2b.itms.itm_det.camt": 1, "b2b.itms.itm_det.samt": 1,
"b2b.itms.itm_det.csamt": 1 } },
{ $unwind: { path: "$b2b" } },
{ $unwind: { path: "$b2b.itms" } },
{ $group: { _id: {ctin: "$b2b.ctin"}, t_txval:
{$sum: "$b2b.itms.itm_det.txval"}, t_iamt: { $sum:
"$b2b.itms.itm_det.iamt"}, t_camt: {$sum: "$b2b.itms.itm_det.camt"},
t_samt: {$sum: "$b2b.itms.itm_det.samt"}, t_csamt: {$sum:
"$b2b.itms.itm_det.csamt"}} },
]).pretty()