基于dataweave 2.0中两个或多个列的比较过滤和合并两个数组

如何解决基于dataweave 2.0中两个或多个列的比较过滤和合并两个数组

我有两个大的JSON数组,必须根据两列分别在filtermerge上进行>

mongo.NUM_CONTROL = mysql.DOCNUM
mongo.NUM_ITEM = mysql.LIN_NUM_ITEM

我已经制作了这个脚本,使用了map参数(itemkey),不必映射每个json的每一列(每个约有50列)

此外,它还可以将NUM_CONTROL与DOCNUM进行比较。

但是,我无法使其适用于NUM_ITEM和LIN_NUM_ITEM。

mongo map (mItems,mKeys) -> using (mongoCtrl = mItems.NUM_CONTROL)
{
    (mysql filter ($.*DOCNUM contains mongoCtrl) map (sItems,sKeys) -> {
        (sItems mapObject (sItem,sKey) ->
            (sKey): sItem
        ),(mItems mapObject (mItem,mKey) ->
            (mKey): mItem
        )
    })  
}

编辑:这是一些示例数据

mongo = 
[
    {
        "VLR_UNIT": 1581.1,"OBSERVACAO": null,"COD_NATUREZA_OP": "155","VLR_TRIBUTO_ICMS": 1715.81,"ALIQ_ICMS_ORIGEM": 7,"VLR_BASE_ISENTA_IPI": 7,"COD_CFO": "5171","VLR_TRIBUTO_ICMMST": 7,"VLR_BASE_REDUZIDA_IPI": 7,"DATA_FISCAL": "1718-78-73T77:77:77","COD_EMPRESA": "TRV","VLR_BASE_TRIBUTADA_ICMSST": 7,"VLR_BASE_ISENTA_ICMSST": 7,"COD_FEDERAL": "77753","VLR_BASE_OUTRAS_IPI": 57637.4,"VLR_BASE_ISENTA_ICMS": 7,"VLR_DESONERADO": 7,"COD_PRODUTO": "1777776316","RAIZ": "77787381","VLR_ICMSS_N_ESCRIT": 7,"IND_SIMPLES_NAC": "S","VLR_ITEM": 57637.4,"ALIQ_TRIBUTO_ICMS": 18,"QUANTIDADE": 31,"DATA_EMISSAO": "1718-78-73T77:77:77","ALIQ_ICMS_DEST": 18,"VLR_BASE_OUTRAS_ICMS": 7,"NUM_DOCFIS": "777717117","VLR_BASE_REDUZIDA_ICMS": 38375.16,"VLR_DESCONTO": 7,"VLR_CONTAB_ITEM": 57637.4,"VLR_BASE_TRIBUTADA_IPI": 7,"CLAS_ITEM": 4,"IND_PRODUTO": "1","INSC_SUFRAMA": null,"VLR_IPI_NDESTAC": 7,"VLR_DIFAL": 7,"COD_MEDIDA": "TO","VLR_FRETE": 7,"VLR_OUTRAS": 7,"COD_SITUACAO_B": "17","COD_SITUACAO_A": "7","VLR_TOT_NOTA": 57637.4,"MOVTO_E_S": "8","COD_ESTAB": "7141","NUM_ITEM": 1,"VLR_SEGURO": 7,"COD_MODELO": "55","COD_NBM": "31758787","COD_MUNICIPIO_ORIG": 6571,"VLR_ALIQ_ICMSST": 7,"SITUACAO_DOCUMENTO": "NORMAL","VLR_BASE_ICMSS_N_ESCRIT": 7,"VLR_TRIBUTO_IPI": 7,"NUM_CONTROL": "7771838361","VLR_BASE_OUTRAS_ICMSST": 7,"VLR_BASE_TRIBUTADA_ICMS": 11155.14,"UF_PLANTA": "BA","VLR_BASE_REDUZIDA_ICMSST": 7,"ALIQ_TRIBUTO_IPI": 7,"COD_MUNICIPIO_DEST": 31357,"SERIE_DOCFIS": "57","DIF_ALIQ_TRIBUTO": 7,"VLR_ICMS_NDESTAC": 7
    },{
        "VLR_UNIT": 1357,"VLR_TRIBUTO_ICMS": 1316.46,"VLR_BASE_OUTRAS_IPI": 31877,"COD_PRODUTO": "1777776833","RAIZ": "78714167","VLR_ITEM": 31877,"QUANTIDADE": 14,"NUM_DOCFIS": "777717114","VLR_BASE_REDUZIDA_ICMS": 15586.33,"VLR_CONTAB_ITEM": 31877,"VLR_TOT_NOTA": 31877,"COD_NBM": "31754777","NUM_CONTROL": "7771847474","VLR_BASE_TRIBUTADA_ICMS": 7313.67,"COD_MUNICIPIO_DEST": 33377,"VLR_ICMS_NDESTAC": 7
    }
]

mysql = 
[
    {
        "DOCNUM": "7771838361","NFTYPE": "Z1","DOCTYP": "1","DIRECT": "1","DOCDAT": "Tue Sep 73 77:77:77 BST 1718","PSTDAT": "Tue Sep 73 77:77:77 BST 1718","MODEL": "55","SERIES": "57","SUBSER": null,"CRENAM": "A837335","MANUAL": null,"BELNR": null,"GJAHR": "7777","BUKRS": "TRV","BRANCH": "7141","PARID": "7717781611","PARVW": "WE","PARTYP": "C","CANCEL": null,"COD_SIT": "77","CANDAT": null,"NFENUM": "777717117","CRT_BUPLA": "3","CRT_PARTNER": null,"DOCREF": "7777777777","NFTOT": "57637.47","OBSERVAT": null,"MODFRETE": "1","LIN_ITMNUM": "777747","LIN_NUM_ITEM": "771","LIN_MATNR": "777777771777776316","LIN_MATKL": "57","LIN_CFOP": "5171AA","LIN_NBM": "3175.87.87","LIN_MATORG": "7","LIN_TAXSIT": "1","LIN_TAXSIT1": "77753","LIN_MWSKZ": null,"LIN_OWNPRO": "X","LIN_MATUSE": "1","LIN_NETWR": "57637.47","LIN_TAXLW1": "B71","LIN_TAXLW1": "53A","LIN_NDUS3": "77","LIN_WERKS": "SSA3","LIN_NFNET": "57637.47","LIN_NETWRT": "57637.47","LIN_NFNETT": "57637.47","LIN_TAXLW4": "76A","LIN_TAXSI4": "76","LIN_TAXLW5": "76A","LIN_TAXSI5": "76","LIN_XPED": "77871873","LIN_NITEMPED": null,"LIN_INDINCENTIVO": "1","LIN_REFKEY": "7787854684","LIN_REFITM": "777747","KNA1_KUNNR": "7717781611","KNA1_REGIO": "BA","KNA1_BRSCH": "7771","KNA1_CRTN": null,"KNA1_STCD1": "77787381777177","KNA1_STCD1": null,"KNA1_ICMSTAXPAY": "Z4","LFA1_LIFNR": null,"LFA1_BRSCH": null,"LFA1_CRTN": null,"LFA1_ICMSTAXPAY": null,"LFA1_STCD1": null,"LFA1_KTOKK": null,"MARA1_BEHVO": null,"MARA1_MTART": null,"MARA1_TRAGR": null,"MARA_BEHVO": "74","MARA_MTART": "FERT","MARA_TRAGR": "7771","MARA_EXTWG": "71","BKPF_AWKEY": "7787854684","BKPF_BUKRS": "TRV","BKPF_BELNR": "7787186147","BKPF_GJAHR": "1718","J_1BTICMSTAXPAYT_ICMSTAXPAY": null,"TWEWT_EXTWG": "71","TWEWT_EWBEZ": "Crop Nutrition 37","T777Y_KTOKK": null,"T777Y_TXT37": null,"VTTK_TKNUM": null,"VTTK_SHTYP": null,"TVTKT_BEZEI": "OUT Direct","VTTP_VBELN": "7787885763","LIPS_VBELN": "7787885763","LIPS_MATNR": "777777771777775883","T144T_BEHVO": "74","VLR_BASE_TRIB_ICMS": "11155.14","VLR_BASE_ISENTA_ICMS": "38375.16","VLR_BASE_OUTRA_ICMS": "7.77","VLR_BASE_RED_ICMS": "11.13","ALIQ_TRIBUTO_ICMS": "18.77","VLR_TRIBUTO_ICMS": "1715.81","VLR_ICMS_NDESTAC": "7.77","VLR_BASE_TRIB_ICMSST": "7.77","VLR_TRIBUTO_ICMSST": "7.77","ALIQ_TRIBUTO_DIFAL": "7.77","VLR_DIFAL": "7.77","VLR_BASE_TRIB_IPI": "7.77","VLR_BASE_ISENTA_IPI": "7.77","VLR_BASE_OUTRA_IPI": "57637.47","VLR_BASE_RED_IPI": "7.77","ALIQ_TRIBUTO_IPI": "7.77","VLR_TRIBUTO_IPI": "7.77","VLR_BASE_TRIB_PIS": "57637.47","ALIQ_TRIBUTO_PIS": "7.77","VLR_TRIBUTO_PIS": "7.77","VLR_BASE_TRIB_COFINS": "57637.47","ALIQ_TRIBUTO_COFINS": "7.77","VLR_TRIBUTO_COFINS": "7.77"
    },{
        "DOCNUM": "7771847474","CRENAM": "A817347","PARID": "7717771413","NFENUM": "777717114","NFTOT": "31877.77","MODFRETE": "7","LIN_ITMNUM": "777717","LIN_MATNR": "777777771777776833","LIN_MATKL": "15","LIN_NBM": "3175.47.77","LIN_NETWR": "31877.77","LIN_NFNET": "31877.77","LIN_NETWRT": "31877.77","LIN_NFNETT": "31877.77","LIN_XPED": "77814838","LIN_REFKEY": "7787855161","LIN_REFITM": "777717","KNA1_KUNNR": null,"KNA1_REGIO": null,"KNA1_BRSCH": null,"KNA1_ICMSTAXPAY": null,"LFA1_BRSCH": "7771","LFA1_STCD1": "73741845777118","LFA1_KTOKK": "FPJU","BKPF_AWKEY": "7787855161","BKPF_BELNR": "7787186488","T777Y_KTOKK": "FPJU","T777Y_TXT37": "PJ Vendors","VLR_BASE_TRIB_ICMS": "7313.67","VLR_BASE_ISENTA_ICMS": "15586.33","VLR_TRIBUTO_ICMS": "1316.46","VLR_BASE_OUTRA_IPI": "31877.77","VLR_BASE_TRIB_PIS": "31877.77","VLR_BASE_TRIB_COFINS": "31877.77","VLR_TRIBUTO_COFINS": "7.77"
    }
]

预期输出必须根据之前的条件将这两个JSON数组合并

解决方法

尝试一下。

mongo map (mItems,mKeys) ->
{
    (mysql filter (($.DOCNUM ==  mItems.NUM_CONTROL) and  ($.LIN_NUM_ITEM as Number == mItems.NUM_ITEM)) map (sItems,sKeys) -> {
        (sItems mapObject (sItem,sKey) ->
            (sKey): sItem
        ),(mItems mapObject (mItem,mKey) ->
            (mKey): mItem
        )
    })  
}
,

使用以下数据编织表达式:

%dw 2.0
output application/json
---
flatten(mongo map (mItem,mKey) -> 
    (mysql filter ($.DOCNUM ==  mItem.NUM_CONTROL) and ($.LIN_NUM_ITEM as Number == mItem.NUM_ITEM)) map (sItem,sKey) -> 
        mItem ++ sItem)

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