Imagine we have the following set of documents stored in mongodb:
{ \"fooId\" : \"1\", \"status\" : \"A\", \"timestamp\" : ISODate(\"2016-01-01T00:00:00.000Z
Though there is no direct way to bring back original documents and I don't see any value, but try following aggregation query:
db.collection.aggregate([
{$sort: {fooId:1, timestamp: -1}},
{$group:{_id:"$fooId", doc:{$first:"$$ROOT"}}},
{$project:{_id:0, doc:["$doc"]}}
]).forEach(function(item){
printjson(item.doc[0]);
});
This query will emit:
{
"_id" : ObjectId("570e76d5e94e6584078f02c4"),
"fooId" : "2",
"status" : "B",
"timestamp" : ISODate("2016-01-02T00:00:00.000+0000"),
"otherInfo" : "BAR"
}
{
"_id" : ObjectId("570e76d5e94e6584078f02c8"),
"fooId" : "3",
"status" : "D",
"timestamp" : ISODate("2016-01-04T00:00:00.000+0000"),
"otherInfo" : "BAR"
}
{
"_id" : ObjectId("570e76d5e94e6584078f02c2"),
"fooId" : "1",
"status" : "C",
"timestamp" : ISODate("2016-01-03T00:00:00.000+0000"),
"otherInfo" : "BAR"
}
If you are doing and aggregation, you need to do similar to SQL , which mean specify the aggregation operation per column, the only option you have is use the $$ROOT
operator
db.test.aggregate(
[
{ $sort: { timestamp: 1 } },
{
$group:
{
_id: "$fooId",
timestamp: { $last: "$$ROOT" }
}
}
]
);
But that will change the output a little bit
{ "_id" : "1", "timestamp" : { "_id" : ObjectId("570e6be3e81c8b195818e7fa"),
"fooId" : "1", "status" : "A", "timestamp" :ISODate("2016-01-01T00:00:00Z"),
"otherInfo" : "BAR" } }
If you want to return the original document format, you probably need a $project stage after that
You can use the $$ROOT system variable with the $last operator to return the last document.
db.collectionName.aggregate([
{ "$sort": { "timestamp": 1 } },
{ "$group": {
"_id": "$fooId",
"last_doc": { "$last": "$$ROOT" }
}}
])
Of course this will the last document for each group as a value of a field.
{
"_id" : "2",
"doc" : {
"_id" : ObjectId("570e6df92f5bb4fcc8bb177e"),
"fooId" : "2",
"status" : "B",
"timestamp" : ISODate("2016-01-02T00:00:00Z")
}
}
If you are not happy with that output then your best bet will be to add another $group
stage to the pipeline when you simply return an array of those documents using the $push accumulator operator.
db.collectionName.aggregate([
{ "$sort": { "timestamp": 1 } },
{ "$group": {
"_id": "$fooId",
"last_doc": { "$last": "$$ROOT" }
}},
{ "$group": {
"_id": null,
"result": { "$push": "$last_doc" }
}}
])