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PHP中的mongodb group操作实例

时间:2014-09-11 03:26来源:网络整理 作者:网络 点击:
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这篇文章主要介绍了PHP中的mongodb group操作实例,本文给出了3个group命令的用法,需要的朋友可以参考下

紧接着上篇来,这篇主要讲,mongodb的group功能,做的还是挺强大的,相当对于find(),skip(),distinct()等,用法比较复杂。

测试数据:

复制代码 代码如下:

> 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" } 

1、根据category分组

复制代码 代码如下:

> 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" 
                ] 
        } 
]

php代码如下:

复制代码 代码如下:

$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 
)

2、根据category来分组,并统计count

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