{
"_id" : ObjectId("56fb04fd2e6bb8bc059287c9"),
"BillNo" : "Bill_001",
"DateP" : "12-12-2015",
"Type" : "Cash",
"Items" : [
{
"id" : NumberInt(1),
"ItemName" : "cement",
"Qty" : "100",
"Rate" : "10",
"Total" : "1000"
},
{
"id" : NumberInt(2),
"ItemName" : "steel",
"Qty" : "10",
"Rate" : "50",
"Total" : "500"
},
{
"id" : NumberInt(3),
"ItemName" : "sand",
"Qty" : "1",
"Rate" : "1500",
"Total" : "1500"
}
]
}
{
"_id" : ObjectId("56fb05382e6bb8bc059287ca"),
"BillNo" : "Bill_002",
"DateP" : "12-10-2015",
"Type" : "Cash",
"Items" : [
{
"id" : NumberInt(1),
"ItemName" : "Paint",
"Qty" : "50",
"Rate" : "100",
"Total" : "5000"
},
{
"id" : NumberInt(2),
"ItemName" : "Brush",
"Qty" : "5",
"Rate" : "10",
"Total" : "50"
}
]
}
在上面的集合中,将主文档中的所有购买详细信息及其项目详细信息存储为主项目的内部数组。我需要使用mongodb获得如下结果;如何在mongodb中从内部数组中找到总数。
Bill_001 1500
Bill_002 5050
答案 0 :(得分:2)
理想情况下,在MongoDB中,您可以将$map
与$sum
同时用作$group
累加器,以及添加所提供数组成员的新角色:
db.collection.aggregate({
{ "$group": {
"_id": "$BillNo",
"Total": {
"$sum": {
"$sum": {
"$map": {
"input": "$Items",
"as": "item",
"in": "$$item.Total"
}
}
}
}
}}
})
或仅根据文件:
db.collection.aggregate({
{ "$group": {
"_id": "$_id",
"BillNo": { "$first": "$BillNo" },
"DateP": { "$first" "$DateP" },
"Type": { "$first": "$Type" }
"Total": {
"$sum": {
"$sum": {
"$map": {
"input": "$Items",
"as": "item",
"in": "$$item.Total"
}
}
}
}
}}
})
使用$first
的其他累加器。当然,你可以使用MongoDB 3.2来实现$project
:
db.collection.aggregate({
{ "$project": {
"BillNo": 1,
"DateP": 1,
"Type": 1,
"Total": {
"$sum": {
"$map": {
"input": "$Items",
"as": "item",
"in": "$$item.Total"
}
}
}
}}
})
在旧版本中,您首先需要$unwind
数组:
db.collection.aggregate([
{ "$unwind": "$Items" },
{ "$group": {
"_id": "$BillNo",
"Total": {
"$sum": "$Items.Total"
}
}}
])
或者,如果您只是按文档添加:
db.collection.aggregate([
{ "$unwind": "$Items" },
{ "$group": {
"_id": "_id",
"BillNo": { "$first": "$BillNo" },
"DateP": { "$first": "$DateP" },
"Type": { "$first": "$Type" },
"Total": {
"$sum": "$Items.Total"
}
}}
])
但是当然只有在你将字符串固定为数值时才会这样。
理想情况下,您可以像这样修复它:
var ops = [];
db.collection.find().forEach(function(doc) {
doc.Items.forEach(function(item) {
ops.push({
"updateOne": {
"filter": { "_id": doc._id, "Items.id": item.id },
"update": {
"$set": {
"Items.$.Qty": parseInt(item.Qty),
"Items.$.Rate": parseInt(item.Rate),
"Items.$Total": parseInt(item.Total)
}
}
}
});
// Send batch of updates
if ( ops.length == 1000 ) {
db.collection.bulkWrite(ops);
ops = [];
}
})
});
// Clear any unprocessed updates
if ( ops.length > 0 ) {
db.collection.bulkWrite(ops);
}