Question

我正在尝试尝试匹配/过滤unmatchedIds数组中的以下lineId值，然后通过processorTransactionId过滤exampleFile的结果集。结果将是删除最后一个FinancialTransactionEntity，其中processorTransactionId =“ 000000062121029333”。

从理论上讲，unmatchedIds数组和exampleFile数组的大小都可以不受限制。

任何指导/建议/示例将不胜感激。目前，我很难使用dataweave过滤器来实现这一目标。

{
  "unmatchedIds": [
    {
      "lineId": "000000062121029111"
    },
    {
      "lineId": "000000062121029222"
    }
  ]
}

exampleFile

[{
        "financialTransactionEntity": {
            "cardAcceptor": {
                "name": "Burger Inc.",
                "countryCode": "GBP"
            },
            "financialTransaction": {
                "debitOrCredit": "C",
                "amountInOriginalCurrency": {
                    "amount": "0000001000",
                    "exponent": "2"
                },
                "originalCurrencyCode": "826",
                "transactionDate": "2020-02-18"
            },
            "processorTransactionId": "000000062121029111"
        }
    },
    {
        "financialTransactionEntity": {
            "cardAcceptor": {
                "name": "McDonalds Inc.",
                "countryCode": "GBP"
            },
            "financialTransaction": {
                "debitOrCredit": "C",
                "amountInOriginalCurrency": {
                    "amount": "0000002000",
                    "exponent": "2"
                },
                "originalCurrencyCode": "826",
                "transactionDate": "2020-02-18"
            },
            "processorTransactionId": "000000062121029222"
        }
    },
    {
        "financialTransactionEntity": {
            "cardAcceptor": {
                "name": "McDonalds Inc.",
                "countryCode": "GBP"
            },
            "financialTransaction": {
                "debitOrCredit": "C",
                "amountInOriginalCurrency": {
                    "amount": "0000002000",
                    "exponent": "2"
                },
                "originalCurrencyCode": "826",
                "transactionDate": "2020-02-18"
            },
            "processorTransactionId": "000000062121029333"
        }
    }

]

Answer 1

您可以使用带有过滤器的数据选择器。见下文

%dw 2.0
output application/java

import * from dw::core::Arrays

var unMatchedIds = {
  "unmatchedIds": [
    {
      "lineId": "000000062121029111"
    },
    {
      "lineId": "000000062121029222"
    }
  ]
}

var payload = [{
        "financialTransactionEntity": {
            "cardAcceptor": {
                "name": "Burger Inc.",
                "countryCode": "GBP"
            },
            "financialTransaction": {
                "debitOrCredit": "C",
                "amountInOriginalCurrency": {
                    "amount": "0000001000",
                    "exponent": "2"
                },
                "originalCurrencyCode": "826",
                "transactionDate": "2020-02-18"
            },
            "processorTransactionId": "000000062121029111"
        }
    },
    {
        "financialTransactionEntity": {
            "cardAcceptor": {
                "name": "McDonalds Inc.",
                "countryCode": "GBP"
            },
            "financialTransaction": {
                "debitOrCredit": "C",
                "amountInOriginalCurrency": {
                    "amount": "0000002000",
                    "exponent": "2"
                },
                "originalCurrencyCode": "826",
                "transactionDate": "2020-02-18"
            },
            "processorTransactionId": "000000062121029222"
        }
    },
    {
        "financialTransactionEntity": {
            "cardAcceptor": {
                "name": "McDonalds Inc.",
                "countryCode": "GBP"
            },
            "financialTransaction": {
                "debitOrCredit": "C",
                "amountInOriginalCurrency": {
                    "amount": "0000002000",
                    "exponent": "2"
                },
                "originalCurrencyCode": "826",
                "transactionDate": "2020-02-18"
            },
            "processorTransactionId": "000000062121029333"
        }
    }

]

---

using (unMatchedArray = unMatchedIds.unmatchedIds.*lineId)
payload[?(unMatchedArray contains $.financialTransactionEntity.processorTransactionId)]

unMatchedArray此处只是来自原始对象的不匹配ID的列表（unMatchedIds）。如果financialTransactionEntity.processorTransactionId位于unMatchedArray中，则数据选择器将仅包含条目。

Answer 2

您可以使用groupBy和filter函数来获得结果。首先，您可以按unMatchIds对lineId进行分组，然后可以对实际有效负载应用过滤器以消除所有不匹配的项目。

output application/json
var unMatchIdsGrouped = var.unMatchIds.unmatchedIds groupBy $.lineId
---
payload filter ((item) -> unMatchIdsGrouped[ item.financialTransactionEntity.processorTransactionId] !=null)

Answer 3

我建议将Sub DS() ' ' DS Macro ' Dim wb As Workbook Set wb = Workbooks.Open("H:\L\Roy\H AND E\2020\SAP - ZPSD02_template2\") ' 'Selection.AutoFilter Worksheets("ST TO ST").Range("$A$1:$O$1").AutoFilter Field:=12, Criteria1:="PENDING" lastRow = Worksheets("ST TO ST").Range("J" & Worksheets("ST TO ST").Rows.Count).End(xlUp).Row 'ActiveWindow.SmallScroll Down:=-12 Worksheets("ST TO ST").Range("$A$1:$O$1").AutoFilter Field:=10, Criteria1:="U3R", Operator:=xlOr, Criteria2:="U2R" Worksheets("ST TO ST").Range("J2:J" & lastRow).SpecialCells(xlCellTypeVisible).Copy _ Destination:=wb.Sheets("Sheet1").Range("A1") Worksheets("ST TO ST").Range("C2:C" & lastRow).SpecialCells(xlCellTypeVisible).Copy _ Destination:=wb.Sheets("Sheet1").Range("B1") Worksheets("ST TO ST").Range("D2:D" & lastRow).SpecialCells(xlCellTypeVisible).Copy _ Destination:=wb.Sheets("Sheet1").Range("E1") Worksheets("ST TO ST").Range("H2:H" & lastRow).SpecialCells(xlCellTypeVisible).Copy _ Destination:=wb.Sheets("Sheet1").Range("F1") End Sub对象转换为unmatchedIds的数组，然后根据比较对象中是否找到id来过滤exampleFile对象使用processorTransactionId完整脚本的数组：

contains

Answer 4

这是另一个答案...。希望有帮助

    %dw 2.2
output application/json
var inpUnmatchedIds = {
  "unmatchedIds": [
    {
      "lineId": "000000062121029111"
    },
    {
      "lineId": "000000062121029222"
    }
  ]
}
var exampleIds = [{
        "financialTransactionEntity": {
            "cardAcceptor": {
                "name": "Burger Inc.",
                "countryCode": "GBP"
            },
            "financialTransaction": {
                "debitOrCredit": "C",
                "amountInOriginalCurrency": {
                    "amount": "0000001000",
                    "exponent": "2"
                },
                "originalCurrencyCode": "826",
                "transactionDate": "2020-02-18"
            },
            "processorTransactionId": "000000062121029111"
        }
    },
    {
        "financialTransactionEntity": {
            "cardAcceptor": {
                "name": "McDonalds Inc.",
                "countryCode": "GBP"
            },
            "financialTransaction": {
                "debitOrCredit": "C",
                "amountInOriginalCurrency": {
                    "amount": "0000002000",
                    "exponent": "2"
                },
                "originalCurrencyCode": "826",
                "transactionDate": "2020-02-18"
            },
            "processorTransactionId": "000000062121029222"
        }
    },
    {
        "financialTransactionEntity": {
            "cardAcceptor": {
                "name": "McDonalds Inc.",
                "countryCode": "GBP"
            },
            "financialTransaction": {
                "debitOrCredit": "C",
                "amountInOriginalCurrency": {
                    "amount": "0000002000",
                    "exponent": "2"
                },
                "originalCurrencyCode": "826",
                "transactionDate": "2020-02-18"
            },
            "processorTransactionId": "000000062121029333"
        }
    }
]
---
exampleIds filter (value) -> ((((inpUnmatchedIds pluck $.lineId))[0]) contains (value.financialTransactionEntity.processorTransactionId))

基于另一个数组值的Dataweave 2.0数组过滤

4 个答案: