Reputation: 1795
This is my sample MongoDB in text Mode
I want to retrieve the data for each user. I also want _id because in a complete document it has several _id with similar structure.
I tried using unwind operator because the object contains nested arrays like this:
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" }])
but it gives zero results.
I want the results in table format like this. I know the table would contain a lot of redundant data. but this what i want.
_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"
}
]
}
]
}
Could someone help me out in this query?
Upvotes: 1
Views: 70
Reputation: 103365
The way you are applying the $unwind
operator is wrong, since it only acts on array fields and you are applying it on non-array fields. You can run the following aggregation pipeline to denormalize your array fields and get the desired structure:
db.getCollection('topic_stats_2').aggregate([
{ "$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"
}
}
])
Upvotes: 1