Arrays 查询嵌套文档mongoDB
这是我的文本模式MongoDB示例 我想检索每个用户的数据。我还需要_id，因为在一个完整的文档中，它有几个结构类似的_id 我尝试使用“展开”操作符，因为对象包含如下嵌套数组：Arrays 查询嵌套文档mongoDB,arrays,mongodb,mongodb-query,Arrays,Mongodb,Mongodb Query,这是我的文本模式MongoDB示例 我想检索每个用户的数据。我还需要_id，因为在一个完整的文档中，它有几个结构类似的_id 我尝试使用“展开”操作符，因为对象包含如下嵌套数组： db.getCollection('topic_stats_2').aggregate([{ $unwind : "$usages.type.users.text" }, { $unwind : "$usages.type.users.stats.xyz1" }, { $unwind : "$usages.type.u
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" }])
_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"
}
]
}
]
}
有人能帮我解决这个问题吗？您应用运算符的方式是错误的，因为它只作用于数组字段，而您应用于非数组字段。您可以运行以下聚合管道来反规范化数组字段并获得所需的结构：
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"
}
}
])
通过快速查看，您的$unwind似乎可疑：它们不用于数组字段。@joao:您能告诉我如何使用unwind吗？或者非常正确的回答问题。我认为unwind也可以应用于数组的属性。现在我明白了