Python 在此类型的查询中查找或聚合

我的收藏由嵌套文档组成。 我的收藏是这样的：

db.mongodbbucketnocpu2index.find().pretty().limit(1)
{
    "_id" : ObjectId("607f185f2a477a621641cded"),
    "nsamples" : 12,
    "samples" : [
        {
            "id1" : 3758,
            "id6" : 2,
            "id7" : -79.09,
            "id8" : 35.97,
            "id9" : 5.5,
            "id10" : 0,
            "id11" : -99999,
            "id12" : 0,
            "id13" : -9999,
            "c14" : "U",
            "id15" : 0,
            "id16" : 99,
            "id17" : 0,
            "id18" : -99,
            "id19" : -9999,
            "id20" : 33,
            "id21" : 0,
            "id22" : -99,
            "id23" : 0,
            "timestamp1" : ISODate("2010-01-01T00:00:00Z"),
            "timestamp2" : ISODate("2009-12-31T19:05:00Z")
        },
        {
            "id1" : 3758,
            "id6" : 2,
            "id7" : -79.09,
            "id8" : 35.97,
            "id9" : 5.5,
            "id10" : 0,
            "id11" : -99999,
            "id12" : 0,
            "id13" : -9999,
            "c14" : "U",
            "id15" : 0,
            "id16" : 99,
            "id17" : 0,
            "id18" : -99,
            "id19" : -9999,
            "id20" : 33,
            "id21" : 0,
            "id22" : -99,
            "id23" : 0,
            "timestamp1" : ISODate("2010-01-01T00:05:00Z"),
            "timestamp2" : ISODate("2009-12-31T19:05:00Z")
        },

.
.
.
.

}

mydb1.mongodbbucketright.find(
    {"samples.timestamp1": {"$gte": datetime.strptime("2010-01-01 00:05:00", "%Y-%m-%d %H:%M:%S"),
                               "$lte": datetime.strptime("2015-01-01 00:05:00", "%Y-%m-%d %H:%M:%S")},
     "samples.id13":{"$gt":5}},

    {"samples.$": 1 })

mydb1.mongodbbucketright.aggregate([

    {
        "$match": {
            "samples.timestamp1": {"$gte": datetime.strptime("2010-01-01 00:05:00", "%Y-%m-%d %H:%M:%S"),
                          "$lte" :datetime.strptime("2015-01-01 00:05:00", "%Y-%m-%d %H:%M:%S")},
            "samples.id13": {"$gt": 5}
        }
    },
    { "$unwind": "$samples" },
    {
        "$match": {
            "samples.timestamp1": {"$gte": datetime.strptime("2010-01-01 00:05:00", "%Y-%m-%d %H:%M:%S"),
                      "$lte": datetime.strptime("2015-01-01 00:05:00", "%Y-%m-%d %H:%M:%S")},
            "samples.id13": {"$gt": 5}
        }
    },


])

我有一个如下的查询：

db.mongodbbucketnocpu2index.find().pretty().limit(1)
{
    "_id" : ObjectId("607f185f2a477a621641cded"),
    "nsamples" : 12,
    "samples" : [
        {
            "id1" : 3758,
            "id6" : 2,
            "id7" : -79.09,
            "id8" : 35.97,
            "id9" : 5.5,
            "id10" : 0,
            "id11" : -99999,
            "id12" : 0,
            "id13" : -9999,
            "c14" : "U",
            "id15" : 0,
            "id16" : 99,
            "id17" : 0,
            "id18" : -99,
            "id19" : -9999,
            "id20" : 33,
            "id21" : 0,
            "id22" : -99,
            "id23" : 0,
            "timestamp1" : ISODate("2010-01-01T00:00:00Z"),
            "timestamp2" : ISODate("2009-12-31T19:05:00Z")
        },
        {
            "id1" : 3758,
            "id6" : 2,
            "id7" : -79.09,
            "id8" : 35.97,
            "id9" : 5.5,
            "id10" : 0,
            "id11" : -99999,
            "id12" : 0,
            "id13" : -9999,
            "c14" : "U",
            "id15" : 0,
            "id16" : 99,
            "id17" : 0,
            "id18" : -99,
            "id19" : -9999,
            "id20" : 33,
            "id21" : 0,
            "id22" : -99,
            "id23" : 0,
            "timestamp1" : ISODate("2010-01-01T00:05:00Z"),
            "timestamp2" : ISODate("2009-12-31T19:05:00Z")
        },

.
.
.
.

}

mydb1.mongodbbucketright.find(
    {"samples.timestamp1": {"$gte": datetime.strptime("2010-01-01 00:05:00", "%Y-%m-%d %H:%M:%S"),
                               "$lte": datetime.strptime("2015-01-01 00:05:00", "%Y-%m-%d %H:%M:%S")},
     "samples.id13":{"$gt":5}},

    {"samples.$": 1 })

mydb1.mongodbbucketright.aggregate([

    {
        "$match": {
            "samples.timestamp1": {"$gte": datetime.strptime("2010-01-01 00:05:00", "%Y-%m-%d %H:%M:%S"),
                          "$lte" :datetime.strptime("2015-01-01 00:05:00", "%Y-%m-%d %H:%M:%S")},
            "samples.id13": {"$gt": 5}
        }
    },
    { "$unwind": "$samples" },
    {
        "$match": {
            "samples.timestamp1": {"$gte": datetime.strptime("2010-01-01 00:05:00", "%Y-%m-%d %H:%M:%S"),
                      "$lte": datetime.strptime("2015-01-01 00:05:00", "%Y-%m-%d %H:%M:%S")},
            "samples.id13": {"$gt": 5}
        }
    },


])

位置投影在这里有用吗？ 有时，我得到的结果似乎比预期的要少 所以我更改了查询，现在它看起来像这样：

db.mongodbbucketnocpu2index.find().pretty().limit(1)
{
    "_id" : ObjectId("607f185f2a477a621641cded"),
    "nsamples" : 12,
    "samples" : [
        {
            "id1" : 3758,
            "id6" : 2,
            "id7" : -79.09,
            "id8" : 35.97,
            "id9" : 5.5,
            "id10" : 0,
            "id11" : -99999,
            "id12" : 0,
            "id13" : -9999,
            "c14" : "U",
            "id15" : 0,
            "id16" : 99,
            "id17" : 0,
            "id18" : -99,
            "id19" : -9999,
            "id20" : 33,
            "id21" : 0,
            "id22" : -99,
            "id23" : 0,
            "timestamp1" : ISODate("2010-01-01T00:00:00Z"),
            "timestamp2" : ISODate("2009-12-31T19:05:00Z")
        },
        {
            "id1" : 3758,
            "id6" : 2,
            "id7" : -79.09,
            "id8" : 35.97,
            "id9" : 5.5,
            "id10" : 0,
            "id11" : -99999,
            "id12" : 0,
            "id13" : -9999,
            "c14" : "U",
            "id15" : 0,
            "id16" : 99,
            "id17" : 0,
            "id18" : -99,
            "id19" : -9999,
            "id20" : 33,
            "id21" : 0,
            "id22" : -99,
            "id23" : 0,
            "timestamp1" : ISODate("2010-01-01T00:05:00Z"),
            "timestamp2" : ISODate("2009-12-31T19:05:00Z")
        },

.
.
.
.

}

mydb1.mongodbbucketright.find(
    {"samples.timestamp1": {"$gte": datetime.strptime("2010-01-01 00:05:00", "%Y-%m-%d %H:%M:%S"),
                               "$lte": datetime.strptime("2015-01-01 00:05:00", "%Y-%m-%d %H:%M:%S")},
     "samples.id13":{"$gt":5}},

    {"samples.$": 1 })

mydb1.mongodbbucketright.aggregate([

    {
        "$match": {
            "samples.timestamp1": {"$gte": datetime.strptime("2010-01-01 00:05:00", "%Y-%m-%d %H:%M:%S"),
                          "$lte" :datetime.strptime("2015-01-01 00:05:00", "%Y-%m-%d %H:%M:%S")},
            "samples.id13": {"$gt": 5}
        }
    },
    { "$unwind": "$samples" },
    {
        "$match": {
            "samples.timestamp1": {"$gte": datetime.strptime("2010-01-01 00:05:00", "%Y-%m-%d %H:%M:%S"),
                      "$lte": datetime.strptime("2015-01-01 00:05:00", "%Y-%m-%d %H:%M:%S")},
            "samples.id13": {"$gt": 5}
        }
    },


])

我希望查询得到优化 你对此有什么看法？ 我选对了吗？ 将mongodb与pymongo一起使用

提前谢谢