Question

我在JSON中有这个输入，我很难将事物分组在一起：

[   
    {
        "PK": "123",
        "SURNAME": "CHEN",
        "SEX": "F",
        "DATE_OF_BIRTH": "1962-08-29 00:00:00.0",
        "PHONE_TYPE": "05",
        "PHONE_NO": "12312312",
        "OPERATION": "INSERT",
    }, {
        "PK": "123",
        "SURNAME": "CHEN",
        "SEX": "F",
        "DATE_OF_BIRTH": "1962-08-29 00:00:00.0",
        "PHONE_TYPE": "04",
        "PHONE_NO": "78787878",
        "OPERATION": "UPDATE"
    },{
        "PK": "456",
        "SURNAME": "DEV",
        "SEX": "M",
        "DATE_OF_BIRTH": "1953-06-06 00:00:00.0",
        "PHONE_TYPE": "05",
        "PHONE_NO": "34343434",
        "OPERATION": "INSERT"
    }, {
        "CLIENT_ID": "456",
        "SURNAME": "DEV",
        "SEX": "M",
        "DATE_OF_BIRTH": "1953-06-06 00:00:00.0",
        "PHONE_TYPE": "02",
        "PHONE_NO": "56565656",
        "OPERATION": "DELETE",
    }
]

这是预期的输出：

{
    "Customers": [{
            "MatchingProfile": {
                "CustomerNumber": "", // leave blank
                "DBType": "Oracle",
                "DBKey": "123",
                "LastName": "CHEN",
                "Gender": "Female",
                "Birthdate": "1962-08-29",
            },
            "Contacts": [{
                    "ContactType": "Fax",
                    "CountryCode": "", // leave blank
                    "Phone_Number": "12312312",
                    "Status": "Active"
                }, {
                    "ContactType": "Mobile",
                    "CountryCode": "", // leave blank
                    "PhoneNumber": "78787878",
                    "Status": "Active"
                }
            ]
        },{
            "MatchingProfile": {
                "CustomerNumber": "", // leave blank
                "DBType": "Oracle",
                "DBKey": "456",
                "LastName": "DEV",
                "Gender": "Male",
                "Birthdate": "1953-06-06",
            },
            "Contacts": [{
                    "ContactType": "Fax",
                    "CountryCode": "", // leave blank
                    "PhoneNumber": "34343434",
                    "Status": "Active"
                }, {
                    "ContactType": "Office",
                    "CountryCode": "", // leave blank
                    "PhoneNumber": "56565656",
                    "Status": "Inactive"
                }
            ]
        }
    ]
}

来自输入的SEX是“M”，“F”，加上一些其他编码值。输出性别的相应值是“男性”，“女性”，否则“左”“（空白）。（不要指责我有性别偏见，我知道，这是项目要求，好吗？不是我的电话）

来自输入的“INSERT”和“UPDATE”的操作将是相应的状态：“活动”;对于“DELETE”，它将是Status：“Inactive”。

此外，Birthdate输出被截断，相当于DATE_OF_BIRTH，减去时间。

PHONE_TYPE如下：02 - “办公室”，04 - “移动”，05 - “传真”（我故意将其他人遗漏）。

有可能在Jolt中有这个映射吗？你能展示规格吗？我是Jolt的新手，我有点困惑。这比Excel Pivot难10倍。

Answer 1

这几乎和OOTB Jolt一样接近。注意Jolt用于更改数据的结构，而不是像＃34; PHONE_TYPE＆＃34;：＆＃34; 04＆＃34;这样的自定义数据映射。意味着＆＃34;传真＆＃34;。

转换输出

{
  "Customers" : [ {
    "MatchingProfile" : {
      "DBKey" : "123",
      "Gender" : "F",
      "LastName" : "CHEN",
      "Birthdate" : "1962-08-29 00:00:00.0",
      "Contacts" : [ {
        "ContactType" : "05",
        "Phone_Number" : "12312312",
        "Status" : "INSERT"
      }, {
        "ContactType" : "04",
        "Phone_Number" : "78787878",
        "Status" : "UPDATE"
      } ]
    }
  }, {
    "MatchingProfile" : {
      "DBKey" : "456",
      "Gender" : "M",
      "LastName" : "DEV",
      "Birthdate" : "1953-06-06 00:00:00.0",
      "Contacts" : [ {
        "ContactType" : "05",
        "Phone_Number" : "34343434",
        "Status" : "INSERT"
      }, {
        "ContactType" : "02",
        "Phone_Number" : "56565656",
        "Status" : "DELETE"
      } ]
    }
  } ]
}

Jolt Spec

[
  // first pivot by the value of SURNAME
  {
    "operation": "shift",
    "spec": {
      "*": { // for each item in the array
        "SURNAME": { // match SURNAME
          "*": { // match any value of SURNAME
            "@2": "&[]" // copy the whole record from 2 levels up to the SURNAME as an array, so we know that in the next step it is always an array
          }
        }
      }
    }
  },
  {
    "operation": "shift",
    "spec": {
      "*": { // match CHEN or DEV
        "0": {
          // only pull pk, sex, dob from the first entry of the SURNAME array so as to not duplicate output
          "PK": "Customers[#3].MatchingProfile.DBKey",
          "SEX": "Customers[#3].MatchingProfile.Gender",
          "SURNAME": "Customers[#3].MatchingProfile.LastName",
          "DATE_OF_BIRTH": "Customers[#3].MatchingProfile.Birthdate",

          // this does mean that the PHONE_TYPE has to be dealt with twice
          // once for the zeroth item, and then once again for the rest
          "PHONE_TYPE": "Customers[#3].MatchingProfile.Contacts[0].ContactType",
          "PHONE_NO": "Customers[#3].MatchingProfile.Contacts[0].Phone_Number",
          "OPERATION": "Customers[#3].MatchingProfile.Contacts[0].Status"
        },
        "*": {
          // handle PHONE_TYPE and friends for the other records
          "PHONE_TYPE": "Customers[#3].MatchingProfile.Contacts[&1].ContactType",
          "PHONE_NO": "Customers[#3].MatchingProfile.Contacts[&1].Phone_Number",
          "OPERATION": "Customers[#3].MatchingProfile.Contacts[&1].Status"
        }
      }
    }
  }
]

如果您发现Jolt对于枢轴和结构的变化很有价值，那么您最好的选择是＆＃34; fixup＆＃34;您的输入数据数组，即地图＆＃34; PHONE_TYPE＆＃34;：＆＃34; 04＆＃34;到＆＃34;传真＆＃34;，从生日那里修剪00:00:00，然后使用Jolt制作嵌套的＆＃34; Customers []。MatchingProfile.Contacts []＆＃34;结构

Jolt分组在一起

1 个答案: