Home php教程 PHP开发 Mongodb group operation example in PHP

Mongodb group operation example in PHP

Dec 23, 2016 am 09:41 AM

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!

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

Hot Article Tags

Notepad++7.3.1

Notepad++7.3.1

Easy-to-use and free code editor

SublimeText3 Chinese version

SublimeText3 Chinese version

Chinese version, very easy to use

Zend Studio 13.0.1

Zend Studio 13.0.1

Powerful PHP integrated development environment

Dreamweaver CS6

Dreamweaver CS6

Visual web development tools

SublimeText3 Mac version

SublimeText3 Mac version

God-level code editing software (SublimeText3)