使用 Dataweave 将多个字符串数组映射到单个数组中

问题描述

我有一个带有单个索引的数组，该数组有一个 JSON 对象，该对象包含三个不同的字符串数组，我必须根据每个索引将它们映射为一个。例如，将每个数组中的所有第一个索引转换为一个 JSON 对象，依此类推...

Dataweave Transformation 中是否有可能？

输入

[{
    "id": [
          "123","456","789"
        ],"name": [
          "Test Brand 1","Test Brand 2","Test Brand 3"
        ],"address": [
          "Via Roma 1","Via Milano 1","Via Napoli 1"
        ]
}]

所需的输出：

[
    {
        "Key1": "123","Key2": "Test Brand 1","Key3": "Via Roma 1"
    },{
        "Key1": "456","Key2": "Test Brand 2","Key3": "Via Milano 1"
    },{
        "Key1": "789","Key2": "Test Brand 3","Key3": "Via Napoli 1"
    }
]

解决方法

您可以尝试以下 DataWeave 表达式，假设每个数组将始终包含相同数量的项目：

%dw 2.0
output application/json
---
flatten(payload map (item,index1) -> 
    item.id map (item2,index2) -> {
        "Key1": item2,"Key2": item.name[index2],"Key3": item.address[index2]
    })

输出（地址名称已更改以确保转换按预期工作）：

[
  {
    "Key1": "123","Key2": "Test Brand 1","Key3": "Via Roma 1"
  },{
    "Key1": "456","Key2": "Test Brand 2","Key3": "Via Milano 2"
  },{
    "Key1": "789","Key2": "Test Brand 3","Key3": "Via Napoli 3"
  }
]

,

您可以尝试下面的代码，其中我们不需要进行两次迭代（循环）并且不需要展平。

%dw 2.0
output application/json
var id = payload[0].id
---
id map (item2,"Key2": payload[0].name[index2],"Key3": payload[0].address[index2]
    }

它会给出相同的结果。

[
  {
    "Key1": "123","Key3": "Via Milano 1"
  },"Key3": "Via Napoli 1"
  }
]

谢谢

,

我对此进行了调整，只是为了使其具有动态性，以便它适用于数组中的任意数量的键。由于您无法访问reduce中的索引，因此有点令人困惑。享受！

%dw 2.0
output application/json
import indexOf from dw::core::Arrays
var data = [{
    "id": [
          "123","456","789"
        ],"name": [
          "Test Brand 1","Test Brand 2","Test Brand 3"
        ],"address": [
          "Via Roma 1","Via Milano 1","Via Napoli 1"
        ]
}]
--- 
(data flatMap valuesOf($)) map ((valuesArray) -> valuesArray reduce ((value,acc={}) -> acc ++ {
    ("key$(indexOf(valuesArray,value) + 1)"): value
}))

输出：

[
  {
    "key1": "123","key2": "456","key3": "789"
  },{
    "key1": "Test Brand 1","key2": "Test Brand 2","key3": "Test Brand 3"
  },{
    "key1": "Via Roma 1","key2": "Via Milano 1","key3": "Via Napoli 1"
  }
]