Question

我正在尝试从python中的mongodb集合中选择一些数据，这里有一些示例数据：

[{"id":1, "planned_timestamp":1512728425, "executed_timestamp":0, "owner":1, "action_type": "read", "action_params":"book A"},
{"id":2, "planned_timestamp":1512728430, "executed_timestamp":0, "owner":1, "action_type": "read", "action_params":"book B"},
{"id":3, "planned_timestamp":1512728435, "executed_timestamp":0, "owner":2, "action_type": "read", "action_params":"book C"}]

我想选择"executed_timestamp":0，"planned_timestamp"低于timestamp变量的所有任务，我希望得到如下结果：

[{"owner":1, "tasks": [{"id":1,"planned_timestamp":1512728425,"action_type": "read","action_params":"book A"},{"id":1,"planned_timestamp":1512728430,"action_type": "read","action_params":"book B"}]},
{"owner":2, "tasks": [{"id":3,"planned_timestamp":1512728435,"action_type": "read","action_params":"book C"}]}]

我目前与pymongo的请求是：

r = db.task_queue.aggregate(
       [
         { "$group" : { "_id" : "$agent_id", "tasks": { "$push": "$$ROOT" } } }
       ]
    )

Answer 1

什么是agent_id？

您需要的是$match。试试这个。

timestamp = 1500000000

r = db.task_queue.aggregate(
        [
            {"$match": {"$and": [
                {
                    "executed_timestamp": {"$eq": 0},
                    "planned_timestamp": {"$lte": timestamp}
                }
            ]}},
            {"$group" : { "_id" : "$owner", "tasks": { "$push": "$$ROOT" } } },
            {"$project":
            {
                "_id": 0,
                "owner": "$_id.owner",
                "tasks": 1
            }}
        ]
    )

MongoDB聚合过滤器

1 个答案: