我有商店数据,report_type是每种类型的数据
- 类型3存储客户购买多少钱和多少交易
- 类型5存储了多少人和他们的平均年龄
我需要一个像这样的数组:
"report_type3"
(
[_id] => 2441
[amountclient] => 3749078452,
[trans] => 1000
),
(
[_id] => 2442
[amountclient] => 15533754,
[trans] => 900
)
,
"report_type5"
(
[_id] => 2441
[people] => 120,
[avgage] => 23,
),
(
[_id] => 2441
[people] => 120,
[avgage] => 23,
)
我的查询看起来像这样,但它不起作用
$cursor = $collection->aggregate([
['$match' => [ 'id_station' => ['$in' => $store ], 'report_type' => 3,
'date' => ['$gte'=> new MongoDB\BSON\UTCDateTime(strtotime("2017-07-01")*1000), '$lte'=> new MongoDB\BSON\UTCDateTime(strtotime("2017-08-05")*1000)]
]
],
['$group' => [
'_id' => [ 'id_station' => '$id_station', 'receiptid' => '$receiptid' ],
'amount' => [ '$sum' => '$amount' ]
]], .... *I group by receiptid because there are many items in one clients.*
[ '$group' => [
'_id' => '$_id.id_station',
'amount' => [ '$sum' => '$amount' ],
'trans' => [ '$sum' => '$trans' ]
]],
[
'$project' => [
'report_type3' => ['_id','$amountclient','$trans']
]
],
['$match' => [ 'id_station' => ['$in' => $store ], 'report_type' => 5,
'date' => ['$gte'=> new MongoDB\BSON\UTCDateTime(strtotime("2017-07-01")*1000), '$lte'=> new MongoDB\BSON\UTCDateTime(strtotime("2017-08-05")*1000)]
]
],
[ '$group' => [
'_id' => ['$_id.id_station', 'area_type' => '$area_type'],
'people' => [ '$sum' => '$people' ],
'avgage' => [ '$avg' => '$age' ]
]],
[
'$project' => [
'report_type5' => [ '_id', 'people', 'avgage' ]
]
]
]);
你能帮帮我吗?