MongoDB以一对多关系显示子项

这是1:N关系的示例。 有一个根项，它由几个项（子项）组成：

我要做的是显示根项中的子项数据：

{
    "dates": "1399518702000",
    "numbers": "5982",
    "goals": "1",
    "durations: "78"
},
{
    "dates": "1399126333000",
    "numbers": "5983",
    "goals": "0",
    "durations": "45"
},
{
    "dates": "1399209192000",
    "numbers": "5984",
    "goals": "4",
    "durations": "90"
},
{
    "dates": "1399027545000",
    "numbers": "5985",
    "goals": "2",
    "durations": "90"
}

在表中，结构如下所示：

根项目：

  name      number
J. Evans      4 

儿童用品

 dates           numbers        goals           durations
 1399518702000        5982            1             78
 1399126333000        5983            0             45
 1399209192000        5984            4             90
 1399027545000        5985            2             90

我正在尝试使用

$unwind

运算符执行此情况：

db.coll.aggregate([{ $unwind: "dates" }, { $unwind: "numbers" }, { $unwind: "goals" }, { $unwind: "durations"} ])

但查询没有给出预期的数据：/

---

是一个很好的解决方案，但只适用于两个阵列。

下面的管道应该会告诉您这个想法

db.getCollection('yourCollection').aggregate(
    {
        $unwind: {
            path: "$dates",
            includeArrayIndex: "idx"
        }
    },
    {
        $project: {
            _id: 0,
            dates: 1,
            numbers: { $arrayElemAt: ["$numbers", "$idx"] },
            goals: { $arrayElemAt: ["$goals", "$idx"] },
            durations: { $arrayElemAt: ["$durations", "$idx"] }
        }
    }
)

为您的示例生成以下输出

/* 1 */
{
    "dates" : NumberLong(1399518702000),
    "numbers" : "5982",
    "goals" : "1",
    "durations" : "78"
}

/* 2 */
{
    "dates" : NumberLong(1399126333000),
    "numbers" : "5983",
    "goals" : "0",
    "durations" : "45"
}

/* 3 */
{
    "dates" : NumberLong(1399209192000),
    "numbers" : "5984",
    "goals" : "4",
    "durations" : "90"
}

/* 4 */
{
    "dates" : NumberLong(1399027545000),
    "numbers" : "5985",
    "goals" : "2",
    "durations" : "90"
}

/* 1 */
{
    "dates" : NumberLong(1399518702000),
    "numbers" : "5982",
    "goals" : "1",
    "durations" : "78"
}

/* 2 */
{
    "dates" : NumberLong(1399126333000),
    "numbers" : "5983",
    "goals" : "0",
    "durations" : "45"
}

/* 3 */
{
    "dates" : NumberLong(1399209192000),
    "numbers" : "5984",
    "goals" : "4",
    "durations" : "90"
}

/* 4 */
{
    "dates" : NumberLong(1399027545000),
    "numbers" : "5985",
    "goals" : "2",
    "durations" : "90"
}