mongodb得到不同的记录

我正在使用mongoDB其中我收集了以下格式.

{"id" : 1 , name : x  ttm : 23 , val : 5 }
{"id" : 1 , name : x  ttm : 34 , val : 1 }
{"id" : 1 , name : x  ttm : 24 , val : 2 }
{"id" : 2 , name : x  ttm : 56 , val : 3 }
{"id" : 2 , name : x  ttm : 76 , val : 3 }
{"id" : 3 , name : x  ttm : 54 , val : 7 }

在那个集合中,我查询过如下的降序获取记录:

db.foo.find({"id" : {"$in" : [1,2,3]}}).sort(ttm : -1).limit(3)

但是它给出了两个相同的记录,id = 1我想要记录,每个记录给出1个记录id.

在mongodb有可能吗？

distinctmongodb中有一个命令,可以与查询一起使用.但是,我相信这只会为您命名的特定键返回一个不同的值列表(例如,在您的情况下,您只会返回返回的id值)所以我不确定这会给您完全符合您的要求需要整个文档 - 您可能需要MapReduce.

不同的文档:http: //www.mongodb.org/display/DOCS/Aggregation#Aggregation-Distinct

您想使用聚合.你可以这样做:

db.test.aggregate([
    // each Object is an aggregation.
    {
        $group: {
            originalId: {$first: '$_id'}, // Hold onto original ID.
            _id: '$id', // Set the unique identifier
            val:  {$first: '$val'},
            name: {$first: '$name'},
            ttm:  {$first: '$ttm'}
        }

    }, {
        // this receives the output from the first aggregation.
        // So the (originally) non-unique 'id' field is now
        // present as the _id field. We want to rename it.
        $project:{
            _id : '$originalId', // Restore original ID.

            id  : '$_id', // 
            val : '$val',
            name: '$name',
            ttm : '$ttm'
        }
    }
])

db.test.find()
// { "_id" : ObjectId("55fb595b241fee91ac4cd881"), "id" : 1, "name" : "x", "ttm" : 23, "val" : 5 }
// { "_id" : ObjectId("55fb596d241fee91ac4cd882"), "id" : 1, "name" : "x", "ttm" : 34, "val" : 1 }
// { "_id" : ObjectId("55fb59c8241fee91ac4cd883"), "id" : 1, "name" : "x", "ttm" : 24, "val" : 2 }
// { "_id" : ObjectId("55fb59d9241fee91ac4cd884"), "id" : 2, "name" : "x", "ttm" : 56, "val" : 3 }
// { "_id" : ObjectId("55fb59e7241fee91ac4cd885"), "id" : 2, "name" : "x", "ttm" : 76, "val" : 3 }
// { "_id" : ObjectId("55fb59f9241fee91ac4cd886"), "id" : 3, "name" : "x", "ttm" : 54, "val" : 7 }


db.test.aggregate(/* from first code snippet */)

// output
{
    "result" : [
        {
            "_id" : ObjectId("55fb59f9241fee91ac4cd886"),
            "val" : 7,
            "name" : "x",
            "ttm" : 54,
            "id" : 3
        },
        {
            "_id" : ObjectId("55fb59d9241fee91ac4cd884"),
            "val" : 3,
            "name" : "x",
            "ttm" : 56,
            "id" : 2
        },
        {
            "_id" : ObjectId("55fb595b241fee91ac4cd881"),
            "val" : 5,
            "name" : "x",
            "ttm" : 23,
            "id" : 1
        }
    ],
    "ok" : 1
}

SELECT DISTINCT columnA FROM collection WHERE columnA > 5

db.runCommand({
    "distinct": "collection",
    "query": {
        "columnA": {
            "$gt": 5
        }
    },
    "key": "columnA"
});

collection.aggregate({
   $group : {
        "_id" : "$id",
        "docs" : { 
            $first : { 
            "name" : "$name",
            "ttm" : "$ttm",
            "val" : "$val",
            }
        } 
    }
});