MongoDB查询以查找包含点的键的记录？
为此，请使用$addFields。在这种情况下，使用$objectToArray以键和值的形式获取数据。将$filter和$indexOfBytes一起使用以检查是否有任何键。在里面。
首先让我们创建一个包含文档的集合-
> db.demo364.insertOne(
... {
... "details" : {
... "details1.otherdetails.Name" : {"FirstName":"Chris" }
... }
... }
... );
{
"acknowledged" : true,
"insertedId" : ObjectId("5e57d485d0ada61456dc936d")
}
> db.demo364.insertOne(
... {
... "details" : {
... "details1.otherdetails.Name" : {"FirstName":"David" }
... }
... }
... );
{
"acknowledged" : true,
"insertedId" : ObjectId("5e57d486d0ada61456dc936e")
}在find()方法的帮助下显示集合中的所有文档-
> db.demo364.find();
这将产生以下输出-
{ "_id" : ObjectId("5e57d485d0ada61456dc936d"), "details" : { "details1.otherdetails.Name" : { "FirstName" : "Chris" } } }
{ "_id" : ObjectId("5e57d486d0ada61456dc936e"), "details" : { "details1.otherdetails.Name" : { "FirstName" : "David" } } }以下是查找带有包含点的键的记录的查询-
> db.demo364.aggregate([
... {
... $addFields: {
... result: {
... $filter: {
... input: { $objectToArray: "$details" },
... cond: {
... $ne: [ { $indexOfBytes: [ "$$this.k", "." ] } , -1 ]
... }
... }
... }
... }
... },
... {
... $match: {
... $expr: {
... $ne: [ { $size: "$result" }, 0 ]
... }
... }
... },
... {
... $project: {
... result: 0
... }
... }
... ])这将产生以下输出-
{ "_id" : ObjectId("5e57d485d0ada61456dc936d"), "details" : { "details1.otherdetails.Name" : { "FirstName" : "Chris" } } }
{ "_id" : ObjectId("5e57d486d0ada61456dc936e"), "details" : { "details1.otherdetails.Name" : { "FirstName" : "David" } } }