为方便起见,下面的示例使用mongo shell,但应该是
直接翻译。
假设您的架构类似于:
db.artist.insert({
name: '"Weird Al" Yankovic',
albums: [
{
name: 'Dare to Be Stupid',
year: 1995,
songs: [
{ track: 'A1', name: 'Like a Surgeon' },
{ track: 'A2', name: 'Dare to Be Stupid' },
{ track: 'A3', name: 'I Want a New Duck' },
],
},
{
name: 'Polka Party!',
year: 1985,
songs: [
{ track: 'A1', name: 'Living with a Hernia' },
{ track: 'A2', name: 'Dog Eat Dog' },
{ track: 'A3', name: 'Addicted to Spuds' },
],
},
],
})
您可以使用Aggregation Framework 来获得预期的结果:
db.artist.aggregate(
// First match to reduce the number of candidate documents
{ $match: {
"albums.songs.name": "I Want a New Duck",
}},
// Unwind 'albums' & 'songs' arrays
{ $unwind: "$albums" },
{ $unwind: "$albums.songs" },
// Limit to matching song & album
{ $match: {
"albums.songs.name": "I Want a New Duck",
}}
)
示例结果:
{
"_id" : ObjectId("53defb826ed136423e50d082"),
"name" : "\"Weird Al\" Yankovic",
"albums" : {
"name" : "Dare to Be Stupid",
"year" : 1995,
"songs" : {
"track" : "A3",
"name" : "I Want a New Duck"
}
}
}