如何在dataweave中对flatboject数组进行分组

Question

我有下面的数组 json，它来自阅读 text/csv 文件。例如

[{
"no" : "2001",
"sendingStoreCode": "006091",
"receivingStoreCode": "006095",
"sku": "dddd",
"quantity": 1
},
{
"no" : "2001",
"sendingStoreCode": "006091",
"receivingStoreCode": "006095",
"sku": "xxxx",
"quantity": 1
},
{
"no" : "2002",
"sendingStoreCode": "006091",
"receivingStoreCode": "006095",
"sku": "xxxx",
"quantity": 1
}
]

现在我们必须通过 groupBy #no、sendingStoreCode 等来合并数据行，下面是预期的结果，我可以知道如何得到它吗

[{
    "no": "2001",
    "sendingStoreCode": "006091",
    "receivingStoreCode": "006095",
    "deliveryItems": [{
            "line": 1,
            "sku": "dddd",
            "quantity": 1
        },
        {
            "line": 2,
            "sku": "xxxx",
            "quantity": 1
        }
    ]
}, {
    "no": "2002",
    "sendingStoreCode": "006091",
    "receivingStoreCode": "006095",
    "deliveryItems": [{
        "sku": "xxxx",
        "quantity": 1
    }]
}]

Answer 1

也许你可以尝试这样的事情，注意在 groupBy 函数中，你必须创建一个用作 id

的单个值

%dw 2.0
output application/json
---
payload 
  groupBy ((item, index) -> item.no ++ "-" ++ item.sendingStoreCode ++ "-" ++ item.receivingStoreCode)
  pluck ((value, key, index) -> {
      no: value.no[0],
      sendingStoreCode: value.sendingStoreCode[0],
      receivingStoreCode: value.receivingStoreCode[0],
      deliveryItems: value map ((item, index) -> {
        "line" : index + 1,
        "sku": item.sku,
        "quantity": item.quantity
      })
  })

Answer 2

%dw 2.0
output application/json
---
payload groupBy ($.no++"_"++$.sendingStoreCode) mapObject {

    "no": $.no[0],
    "sendingStoreCode" : $.sendingStoreCode[0],
    "receivingStoreCode" : $.receivingStoreCode[0],
    deliveryitems: $ map {
        line: ($$+1),
        sku: $.sku,
        quantity: $.quantity
    }


}

如何在dataweave中对flatboject数组进行分组

how to groupBy flatboject array in dataweave

dataweave

mulesoft