这是我在文本模式下的示例MongoDB
我想检索每个用户的数据。我也想要_id，因为在一个完整的文档中它有几个具有类似结构的_id。
我尝试使用unwind运算符，因为该对象包含嵌套数组，如下所示：
db.getCollection('topic_stats_2').aggregate([{ $unwind : "$usages.type.users.text" }, { $unwind : "$usages.type.users.stats.xyz1" }, { $unwind : "$usages.type.users.stats.xyz2" }, { $unwind : "$usages.type.users.stats.xyz3" }, { $unwind : "$usages.type.users.xyz4" }, { $unwind : "$usages.type.users.xyz5" }])
但它没有结果。
我希望结果以表格格式这样。我知道该表将包含大量冗余数据。但这就是我想要的。
_id | count | xyz4 | xyz5 | xyz1 | xyz2 | xyz3 | text | type |
| | | | | | | | |
| | | | | | | | |
/* 1 */
{
"_id" : “photo",
"count" : 236,
"usages" : [
{
"type" : 1,
"users" : [
{
"text" : “jkncfkjfdn",
"stats" : {
“xyz1" : 6,
“xyz2" : 1,
“xyz3" : 1194
},
“xyz4" : "julius babao",
“xyz5" : "juLiusbabao"
},
{
"text" : “fcnf",
"stats" : {
“xyz1" : 9,
“xyz2" : 6,
“xyz3" : 1199
},
“xyz4" : "Dman",
“xyz5" : "DmanTheDesigner"
},
{
"text" : “dckejsndc",
"stats" : {
“xyz1" : 1,
“xyz2" : 0,
“xyz3" : 1200
},
“xyz4" : "EastmanHouse",
“xyz5" : "EastmanHouse"
}
]
},
{
"type" : 2,
"users" : [
{
"text" : “msdnc",
"stats" : {
“xyz1" : 1,
“xyz2" : 1,
“xyz3" : 1168
},
“xyz4" : "Shayne",
“xyz5" : "RKTay"
},
{
"text" : “kfjnvfv",
"stats" : {
“xyz1" : 0,
“xyz2" : 0,
“xyz3" : 523
},
“xyz4" : "andy stitches",
“xyz5" : "myproudmendes"
},
{
"text" : “jkopoiuyt",
"stats" : null,
“xyz4" : "jm",
“xyz5" : "jihannelayosa"
}
]
},
{
"type" : 3,
"users" : [
{
"text" : “opted",
"stats" : {
“xyz1" : 58,
“xyz2" : 32,
“xyz3" : 1192
},
“xyz4" : "♪♫Lil Darryl♫♪",
“xyz5" : "LilDarryl301"
},
{
"text" : "Cloud 9",
"stats" : {
“xyz1" : 1,
“xyz2" : 1,
“xyz3" : 1171
},
“xyz4" : "FGN",
“xyz5" : "pretty_brown66"
},
{
"text" : "Cloud 9",
"stats" : {
“xyz1" : 0,
“xyz2" : 0,
“xyz3" : 997
},
“xyz4" : "Travis Porter Jr .",
“xyz5" : "AyoTravo"
}
]
},
{
"type" : 4,
"users" : [
{
"text" : “while",
"stats" : {
“xyz1" : 1,
“xyz2" : 1,
“xyz3" : 1200
},
“xyz4" : "LEGO Darth Vader",
“xyz5" : "LegoDarthVader"
},
{
"text" : “xjw",
"stats" : {
“xyz1" : 1,
“xyz2" : 1,
“xyz3" : 1198
},
“xyz4" : "The Brothers Brick",
“xyz5" : "BrothersBrick"
},
{
"text" : “pol",
"stats" : {
“xyz1" : 1,
“xyz2" : 1,
“xyz3" : 1197
},
“xyz4" : "BYTES & BRICKS",
“xyz5" : "lego_bb"
}
]
},
{
"type" : 5,
"users" : [
{
"text" : “qtwqyw",
"stats" : {
“xyz1" : 1,
“xyz2" : 1,
“xyz3" : 1155
},
“xyz4" : "Kell_1976",
“xyz5" : "LuvsMyMunchkie"
},
{
"text" : “ytyty",
"stats" : {
“xyz1" : 12,
“xyz2" : 4,
“xyz3" : 1200
},
“xyz4" : "carriewildes",
“xyz5" : "carriewildes"
},
{
"text" : "from the high.",
"stats" : {
“xyz1" : 0,
“xyz2" : 0,
“xyz3" : 1067
},
“xyz4" : "jake☄",
“xyz5" : "w0rshiptheking"
}
]
}
]
}
有人可以帮我解决这个问题吗？
答案 0 :(得分：1)
您应用 $unwind 运算符的方式是错误的，因为它只对数组字段起作用，并且您将它应用于非数组字段。您可以运行以下聚合管道来对数组字段进行非规范化并获得所需的结构：
db.getCollection('topic_stats_2').aggregate([
{ "$unwind": "$usages" },
{ "$unwind": "$usages.users" },
{
"$project": {
"count": 1,
"xyz4": "$usages.users.xyz4",
"xyz5": "$usages.users.xyz5",
"xyz1": "$usages.users.stats.xyz1",
"xyz2": "$usages.users.stats.xyz2",
"xyz3": "$usages.users.stats.xyz3",
"text": "$usages.users.text",
"type": "$usages.type"
}
}
])