使用map-reduce / aggregation的MongoDB查询？

Question

我在mongo集合中有简单的数据，它看起来像：

{
"_id" : ObjectId("52b73b1318a7be441dbf36b6"),
"nme" : "Vinod Kumar",
"unm" : "vkumar",
"cat" : ISODate("2013-12-22T19:18:43.873Z"),
"act" : [{
    "nme" : "test activity one",
    "dec" : "This is only about test activity",
    "gat" : ISODate("2013-12-25T19:17:00.873Z"),
    "cat" : ISODate("2013-12-22T19:18:43.873Z")
    }]
},

{
"_id" : ObjectId("52b73b1318a7be441dbf36b6"),
"nme" : "Manoj Kumar",
"unm" : "mkumar",
"cat" : ISODate("2013-12-22T19:18:43.873Z"),
"act" : [{
    "nme" : "test activity three",
    "dec" : "This is only about test activity",
    "gat" : ISODate("2013-12-25T19:17:00.873Z"),
    "cat" : ISODate("2013-12-20T19:18:43.873Z")
    },
        {
    "nme" : "test activity two",
    "dec" : "This is only about test activity",
    "gat" : ISODate("2013-12-25T19:17:00.873Z"),
    "cat" : ISODate("2013-12-21T19:18:43.873Z")
    }]
}

我想按（创建时间）和（unm）用户名来获取所有的act（活动）订单。我还想添加分页功能，所以我也需要查询中的限制和偏移量。最后，我期望输出：

        {
    "nme" : "test activity one",
    "dec" : "This is only about test activity",
    "gat" : ISODate("2013-12-25T19:17:00.873Z"),
    "cat" : ISODate("2013-12-22T19:18:43.873Z"),
    "unm" : "vkumar",
    },
        {
    "nme" : "test activity two",
    "dec" : "This is only about test activity",
    "gat" : ISODate("2013-12-25T19:17:00.873Z"),
    "cat" : ISODate("2013-12-21T19:18:43.873Z"),
    "unm" : "mkumar",
    },
        {
    "nme" : "test activity three",
    "dec" : "This is only about test activity",
    "gat" : ISODate("2013-12-25T19:17:00.873Z"),
    "cat" : ISODate("2013-12-20T19:18:43.873Z"),
    "unm" : "mkumar",
    }

我有200000条记录在这个集合中。 谁能在不建议单独创建活动集合的情况下帮助我。

如果有的话，有没有使用聚合框架的解决方法，我该怎么办？ 因为我需要使用排序，跳过和限制，所以我不知道如何以最佳性能进行聚合。

我尝试了map reduce，但是这样做没有帮助，因为map reduce将为每个查询生成静态结果，并且使用分页（限制，跳过）时，使用应用程序的多个用户可能会在结果中发生冲突。

任何帮助或建议，将不胜感激。

谢谢

这是我当前的查询

$m = new MongoClient();
$c = $m->selectDB("test")->selectCollection("users");

$ops = array(
array(
    '$project' => array(
        "unm" => 1,
        "act" => 1
    )
),
array('$sort' => array('act.cat' => -1 )),
array('$limit' => 10),

);
$results = $c->aggregate($ops);

Answer 1

这是我自己的问题的答案。 我现在意识到mongo具有隐藏的力量：P

$m = new MongoClient();
$c = $m->selectDB("test")->selectCollection("users");

$ops = array(
array(
'$project' => array(
"unm" => 1,
"act" => 1
)
),
array('$unwind' => '$act'),
array('$match' => array('act.sta' => 1)), // if you want some extra queries. In my case I am checking if status of activity is 1
array('$sort' => array('act.cat' => -1 )), // sort by created time
array('$skip' => $page), // skip int variable
array('$limit' =>$config['per_page']), // limit int variable
);

$results = $c->aggregate($ops); 
print_r($results);