一次执行多个mongo查询，并通过键返回字典格式

Question

我有一个收集测试，该测试具有以下值，我必须根据“值”字段从该值中获取文档，我可以从以下给定查询中轻松获取该值。

db.getCollection('test').find({"value" : 100})

但是真正的问题是我有[值]字段列表，例如[100,104,200152，....]此列表可能真的很长，我希望我的结果采用以下给定格式，以减少mongo查询的次数，因为这花费了太多时间，如果包含“值”的列表太大，则我必须执行多个mongo查询才能提取所有记录。

{100:[
    /* 1 */

    {
        "_id" : "C1",
        "value" : 100,
        "lastUpdatedTime" : ISODate("2019-11-04T00:00:00.000Z"),
        "timetaken" : 3.0
    }

    /* 2 */
    {
        "_id" : "C2",
        "value" : 100,
        "lastUpdatedTime" : ISODate("2019-11-04T00:00:00.000Z"),
        "timetaken" : 3.0
    }

    /* 3 */
    {
        "_id" : "C3",
        "value" : 100,
        "lastUpdatedTime" : ISODate("2019-11-04T00:00:00.000Z"),
        "timetaken" : 3.0
    }

    /* 4 */
    {
        "_id" : "C4",
        "value" : 100,
        "lastUpdatedTime" : ISODate("2019-11-04T00:00:00.000Z"),
        "timetaken" : 3.0
    }

    /* 5 */
    {
        "_id" : "CO",
        "value" : 100,
        "lastUpdatedTime" : ISODate("2019-11-04T00:00:00.000Z"),
        "timetaken" : 3.0
    }

    /* 6 */
    {
        "_id" : "DD",
        "value" : 100,
        "lastUpdatedTime" : ISODate("2019-11-04T00:00:00.000Z"),
        "timetaken" : 3.0
    }

    /* 7 */
    {
        "_id" : "EX",
        "value" : 100,
        "lastUpdatedTime" : ISODate("2019-11-04T00:00:00.000Z"),
        "timetaken" : 3.0
    }],

104:

    [{
        "_id" : "AU",
        "value" : 104,
        "lastUpdatedTime" : ISODate("2019-11-04T00:00:00.000Z"),
        "timetaken" : 3.0
    }],
200152:

    [
    {
        "_id" : "GenFile",
        "value" : 200152,
        "lastUpdatedTime" : ISODate("2019-11-04T00:00:00.000Z"),
        "timetaken" : 3.0
    }
    ]

DB

/* 1 */
{
    "_id" : "AU",
    "value" : 104,
    "lastUpdatedTime" : ISODate("2019-11-04T00:00:00.000Z"),
    "timetaken" : 3.0
}

/* 2 */
{
    "_id" : "C1",
    "value" : 100,
    "lastUpdatedTime" : ISODate("2019-11-04T00:00:00.000Z"),
    "timetaken" : 3.0
}

/* 3 */
{
    "_id" : "C2",
    "value" : 100,
    "lastUpdatedTime" : ISODate("2019-11-04T00:00:00.000Z"),
    "timetaken" : 3.0
}

/* 4 */
{
    "_id" : "C3",
    "value" : 100,
    "lastUpdatedTime" : ISODate("2019-11-04T00:00:00.000Z"),
    "timetaken" : 3.0
}

/* 5 */
{
    "_id" : "C4",
    "value" : 100,
    "lastUpdatedTime" : ISODate("2019-11-04T00:00:00.000Z"),
    "timetaken" : 3.0
}

/* 6 */
{
    "_id" : "CO",
    "value" : 100,
    "lastUpdatedTime" : ISODate("2019-11-04T00:00:00.000Z"),
    "timetaken" : 3.0
}

/* 7 */
{
    "_id" : "DD",
    "value" : 100,
    "lastUpdatedTime" : ISODate("2019-11-04T00:00:00.000Z"),
    "timetaken" : 3.0
}

/* 8 */
{
    "_id" : "EX",
    "value" : 100,
    "lastUpdatedTime" : ISODate("2019-11-04T00:00:00.000Z"),
    "timetaken" : 3.0
}

/* 9 */
{
    "_id" : "GS_SEG",
    "value" : 124755350,
    "lastUpdatedTime" : ISODate("2019-11-04T00:00:00.000Z"),
    "timetaken" : 3.0
}

/* 10 */
{
    "_id" : "GenFile",
    "value" : 200152,
    "lastUpdatedTime" : ISODate("2019-11-04T00:00:00.000Z"),
    "timetaken" : 3.0
}

Answer 1

使用$ in运算符进行查询：

# Set or build a list of the values
list_with_values =  [100,104,200152]

# Make one call to the DB, asking for all of the matching records.
result = db.getCollection('test').find({"value" : {"$in": list_with_values})

有关$ in运算符如何工作的其他参考：http://docs.mongodb.org/manual/reference/operator/query/in/