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HomeBackend DevelopmentPHP TutorialPHP模拟SQL的GROUP BY算法


BY JENNER · 2015年1月24日· 阅读次数:25

github地址:https://github.com/huyanping/Zebra-PHP-ArrayGroupBy

packagist地址:https://packagist.org/packages/jenner/array_group_by

为什么使用Zebra-PHP-ArrayGroupBy

在如下场景中,我们总是希望能够在php中使用类似mysql的groupby操作:

  • SQL过于复杂,造成数据库运算效率低下
  • 从数据库中读取出原始数据,在php中进行运算,增强代码重用率
  • 其他非数据库场景的数组归并场景
  • Zebar-PHP-ArrayGroupBy能够做什么

  • 对二维数组进行归并
  • 归并的同时,支持对字段进行自定义处理
  • 比SQL更灵活的自定义函数,你可以随意编写归并和字段合并函数
  • 示例:

    $records = [    ['order_date' => '2014-01-01', 'price' => 5],    ['order_date' => '2014-01-02', 'price' => 10],    ['order_date' => '2014-01-03', 'price' => 20],    ['order_date' => '2015-01-04', 'price' => 25],];$group_by_fields = [    'order_date' => function($value){            return date('Y', strtotime($value));        }];$group_by_value = [    'order_date' => [        'callback' => function($value_array){                return substr($value_array[0], 0, 4);            },        'as' => 'year'    ],    'price' => function($value_array){            return array_sum($value_array);        },];$grouped = \Jenner\Zebra\ArrayGroupBy::groupBy($records, $group_by_fields, $group_by_value);print_r($grouped);

    结果:

    Array(    [0] => Array        (            [year] => 2014            [price] => 35        )    [1] => Array        (            [year] => 2015            [price] => 25        ))

    你也可以使用链式方法调用,对数据进行多次汇总,更加灵活:

    $records = [    ['bill_time'=>'2014-01-01 00:00:00', 'price'=>1, 'cnt'=>3,],    ['bill_time'=>'2014-01-01 00:00:00', 'price'=>1, 'cnt'=>3,],    ['bill_time'=>'2014-01-01 00:00:00', 'price'=>1, 'cnt'=>3,],    ['bill_time'=>'2014-01-01 00:00:00', 'price'=>1, 'cnt'=>3,],    ['bill_time'=>'2014-01-01 00:00:00', 'price'=>1, 'cnt'=>3,],    ['bill_time'=>'2014-01-01 00:00:00', 'price'=>1, 'cnt'=>3,],    ['bill_time'=>'2014-01-02 00:00:00', 'price'=>1, 'cnt'=>3,],    ['bill_time'=>'2014-01-02 00:00:00', 'price'=>1, 'cnt'=>3,],    ['bill_time'=>'2014-01-02 00:00:00', 'price'=>1, 'cnt'=>3,],    ['bill_time'=>'2014-01-02 00:00:00', 'price'=>1, 'cnt'=>3,],    ['bill_time'=>'2014-01-02 00:00:00', 'price'=>1, 'cnt'=>3,],    ['bill_time'=>'2014-01-03 00:00:00', 'price'=>1, 'cnt'=>3,],    ['bill_time'=>'2014-01-03 00:00:00', 'price'=>1, 'cnt'=>3,],    ['bill_time'=>'2014-01-03 00:00:00', 'price'=>1, 'cnt'=>3,],    ['bill_time'=>'2014-01-03 00:00:00', 'price'=>1, 'cnt'=>3,],    ['bill_time'=>'2014-01-03 00:00:00', 'price'=>1, 'cnt'=>3,],    ['bill_time'=>'2014-01-04 00:00:00', 'price'=>1, 'cnt'=>3,],    ['bill_time'=>'2014-01-04 00:00:00', 'price'=>1, 'cnt'=>3,],];$group_by_fields = [    'bill_time' => function($field){            return substr($field, 0, 10);        }];$group_by_values = [    'bill_time' => function($field_values){            return substr($field_values[0], 0, 10);        },    'price' => function($field_values){            return array_sum($field_values);        },    'cnt' => function($field_values){            return array_sum($field_values);        }];$week_fields = [    'bill_time' => function($field){            return date('w', strtotime($field));        }];$week_values = [    'bill_time' => function($field_values){            return date('w', strtotime($field_values[0]));        },    'price' => function($field_values){            return array_sum($field_values);        },    'cnt' => function($field_values){            return array_sum($field_values);        }];$grouped = (new \Jenner\Zebra\ArrayGroupBy($records))->groupByField($group_by_fields)->groupByValue($group_by_values)->groupByField($week_fields)->groupByValue($week_values)->get();print_r($grouped);

    举例

  • 归并过程中,实现对结果的中值计算
  • 归并过程中,对时间字段进行自定义处理,例如归并每5分钟的数据
  • 等等
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