感谢阅读。我正在尝试获取一个存储在mongodb数据库中的大数据列表,以便在前端显示,使用NodeJS中的mongoose模块。我想知道解决这个问题的最佳方法是什么?我的数据看起来像这样......
收集1:洞穴
{
"_id" : ObjectId("564d2f6eb0896138247ff791"),
"name" : "ACME Cave",
"slug" : "acme-cave",
"timeCreated" : ISODate("2015-11-19T02:09:50.492+0000"),
"address" : {
"county" : "Somewhere",
"state" : "CA",
"country" : "USA"
}
}
收集2:位置
{
"_id" : ObjectId("564d2f6fb0896138247ff855"),
"latitude" : 54.5793621,
"longitude" : -74.9669167,
"parent_id" : ObjectId("564d2f6eb0896138247ff791"), <-- matches collection 1
"timeCreated" : ISODate("2015-11-19T02:09:51.413+0000"),
}
{
"_id" : ObjectId("564d2f6fb0896138247ff855"),
"latitude" : 48.5783611,
"longitude" : -72.9669167,
"parent_id" : ObjectId("564d2f6eb0896138247ff791"), <-- matches collection 1
"timeCreated" : ISODate("2015-11-19T02:09:51.413+0000"),
}
我想将一些子字段合并到父级中,如此...
{
"_id" : ObjectId("564d2f6eb0896138247ff791"),
"name" : "ACME Cave",
"slug" : "acme-cave",
"timeCreated" : ISODate("2015-11-19T02:09:50.492+0000"),
"address" : {
"county" : "Somewhere",
"state" : "NY",
"country" : "USA"
},
locations: [
{
"_id" : ObjectId("564d2f6fb0896138247ff855"),
"latitude" : 54.5793621,
"longitude" : -74.9669167,
"parent_id" : ObjectId("564d2f6eb0896138247ff791"), <-- matches doc collection 1
"timeCreated" : ISODate("2015-11-19T02:09:51.413+0000"),
},
{
"_id" : ObjectId("564d2f6fb0896138247ff855"),
"latitude" : 48.5783611,
"longitude" : -72.9669167,
"parent_id" : ObjectId("564d2f6eb0896138247ff791"), <-- matches doc collection 1
"timeCreated" : ISODate("2015-11-19T02:09:51.413+0000"),
}
]
}
我在下面有这个片段来完成这个,但它看起来并不正确。有没有人对这样做有任何见解?
Parent.find({}, {'locations': 1}).stream().on('data', function(parent) {
// add the location to the parent doc
Child.find({parent_id: {$in: parent._id}}, {'latitude': 1, 'longitude': 1}, function(err, child) {
parent.locations = child;
console.log(parent);
});
});
这将返回以下JSON,它与我的输出相同..
{
"_id" : ObjectId("564d2f6eb0896138247ff791"),
"name" : "ACME Cave",
"slug" : "acme-cave",
"timeCreated" : ISODate("2015-11-19T02:09:50.492+0000"),
"address" : {
"county" : "Somewhere",
"state" : "NY",
"country" : "USA"
},
locations: [
{
"_id" : ObjectId("564d2f6fb0896138247ff855"),
"latitude" : 54.5793621,
"longitude" : -74.9669167,
"parent_id" : ObjectId("564d2f6eb0896138247ff791"), <-- matches doc collection 1
"timeCreated" : ISODate("2015-11-19T02:09:51.413+0000"),
},
{
"_id" : ObjectId("564d2f6fb0896138247ff855"),
"latitude" : 48.5783611,
"longitude" : -72.9669167,
"parent_id" : ObjectId("564d2f6eb0896138247ff791"), <-- matches doc collection 1
"timeCreated" : ISODate("2015-11-19T02:09:51.413+0000"),
}
]
}
我已经考虑将这些Schema汇总到一个集合中,但我不能因为其他功能我将添加到代码中,比如存储图片和每个孩子的编辑。我不认为使用单个集合是明智的,因为我会在文档中存储太多信息。
感谢您的帮助!
答案 0 :(得分:1)
我认为您可以使用one-to-many with document references model。也就是说,将位置引用(仅_id)存储在洞穴文档中。
{
"_id" : ObjectId("564d2f6eb0896138247ff791"),
"name" : "ACME Cave",
"slug" : "acme-cave",
"timeCreated" : ISODate("2015-11-19T02:09:50.492+0000"),
"address" : {
"county" : "Somewhere",
"state" : "NY",
"country" : "USA"
},
locations: [ 564d2f6fb0896138247ff855, 564d2f6fb0896138247ff855 ]
}