Home > php教程 > PHP开发 > Mongodb group operation example in PHP

Mongodb group operation example in PHP

高洛峰
Release: 2016-12-23 09:41:47
Original
1369 people have browsed it

Following the previous article, this article mainly talks about the group function of mongodb, which is quite powerful. It is quite complicated to use find(), skip(), distinct(), etc.

Test data:

> db.fruit.find();  
{ "_id" : 1, "category" : "fruit", "name" : "apple" }  
{ "_id" : 2, "category" : "fruit", "name" : "peach" }  
{ "_id" : 3, "category" : "fruit", "name" : "banana" }  
{ "_id" : 4, "category" : "veggie", "name" : "corn" }  
{ "_id" : 5, "category" : "veggie", "name" : "broccoli" }
Copy after login

1. Group according to category

> db.fruit.group(  
       {  
         key: { category: 1},  
         reduce: function(obj, prev) {  
                     prev.items.push(obj.name);  
                 },  
         initial: { items : [] }  
       }  
    );  
[  
        {  
                "category" : "fruit",  
                "items" : [  
                        "apple",  
                        "peach",  
                        "banana"  
                ]  
        },  
        {  
                "category" : "veggie",  
                "items" : [  
                        "corn",  
                        "broccoli"  
                ]  
        }  
]
Copy after login

php code is as follows:

$keys = array("category" => 1);  
$initial = array("items" => array());  
$reduce = "function (obj, prev) { prev.items.push(obj.name); }";  
$g = $collection->group($keys, $initial, $reduce);  
  
print_r($g);   //结果如下。  
  
Array  
(  
    [retval] => Array  
        (  
            [0] => Array  
                (  
                    [category] => fruit  
                    [items] => Array  
                        (  
                            [0] => apple  
                            [1] => peach  
                            [2] => banana  
                        )  
  
                )  
  
            [1] => Array  
                (  
                    [category] => veggie  
                    [items] => Array  
                        (  
                            [0] => corn  
                            [1] => broccoli  
                        )  
  
                )  
  
        )  
  
    [count] => 5  
    [keys] => 2  
    [ok] => 1  
)
Copy after login

2. Group according to category and count

> db.fruit.group(  
           {  
             key: { category: 1},  
             cond: { _id: { $gt: 2 } },  
             reduce: function(obj, prev) {  
                prev.items.push(obj.name);  
                prev.count++;  
             },  
             initial: { items : [] ,count:0}  
           }  
        );  
[  
    {  
        "category" : "fruit",  
        "items" : [  
            "banana"  
        ],  
        "count" : 1  
    },  
    {  
        "category" : "veggie",  
        "items" : [  
            "corn",  
            "broccoli"  
        ],  
        "count" : 2  
    }  
]
Copy after login

php code as follows:

$keys = array("category" => 1);  
$initial = array("items" => array(),'count'=>0);  
$reduce = "function (obj, prev) { " .  
              "prev.items.push(obj.name); " .  
              "prev.count++;" .  
          "}";  
$condition = array('condition' => array("_id" => array( '$gt' => 2)));  
$g = $collection->group($keys, $initial, $reduce, $condition);  
  
print_r($g);   //结果如下。  
  
Array  
(  
    [retval] => Array  
        (  
            [0] => Array  
                (  
                    [category] => fruit  
                    [items] => Array  
                        (  
                            [0] => banana  
                        )  
  
                    [count] => 1  
                )  
  
            [1] => Array  
                (  
                    [category] => veggie  
                    [items] => Array  
                        (  
                            [0] => corn  
                            [1] => broccoli  
                        )  
  
                    [count] => 2  
                )  
        )  
  
    [count] => 3  
    [keys] => 2  
    [ok] => 1  
)
Copy after login

3. Use aggregate group function, It’s also quite powerful

> db.fruit.aggregate([  
                     { $match: { _id: {$gt:0} } },  
                     { $group: { _id: "$category", count: { $sum: 1 } } },  
                     { $sort: { count: -1 } }  
                   ]);  
{ "_id" : "fruit", "count" : 3 }  
{ "_id" : "veggie", "count" : 2 }
Copy after login

The PHP code is as follows:

$cond = array(  
    array(  
        '$match' => array('_id' => array('$gt' => 0)),  
    ),  
    array(  
        '$group' => array(  
            '_id' => '$category',  
           'count' => array('$sum' => 1),  
        ),  
    ),  
    array(  
        '$sort' => array("count" => -1),  
    ),  
);  
$result = $collection->aggregate($cond);  
print_r($result);    //结果如下:  
  
Array  
(  
    [result] => Array  
        (  
            [0] => Array  
                (  
                    [_id] => fruit  
                    [count] => 3  
                )  
  
            [1] => Array  
                (  
                    [_id] => veggie  
                    [count] => 2  
                )  
  
        )  
  
    [ok] => 1  
)
Copy after login

Mongodb has many select operations. Here, I only talk about some commonly used functions.

For more articles related to mongodb group operation examples in PHP, please pay attention to the PHP Chinese website!

Related labels:
source:php.cn
Statement of this Website
The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn
Popular Recommendations
Popular Tutorials
More>
Latest Downloads
More>
Web Effects
Website Source Code
Website Materials
Front End Template