如何使用json数据格式化csv文件？
我有一个json文件，我需要转换为一个csv文件，但我有点担心信任json-to-csv转换器网站，因为输出的数据似乎是不正确的…所以我希望得到一些帮助这里！
我有以下json文件结构：
{ "GroupName": "GrpName13", "Number": 3, "Notes": "Test Group ", "Units": [ { "UnitNumber": "TestUnit13", "DataSource": "Factory", "ContractNumber": "TestContract13", "CarNumber": "2", "ControllerTypeMessageId" : 4, "NumberOfLandings": 4, "CreatedBy": "user1", "CommissionModeMessageId": 2, "Details": [ { "DetailName": "TestFloor13", "DetailNumber": "5" } ], "UnitDevices": [ { "DeviceTypeMessageId": 1, "CreatedBy": "user1" } ] } ] } 我想我看到的问题是，转换器似乎无法理解许多嵌套的数据值。 而我认为转换器是错误的原因是因为当我尝试使用它们转换回json，我没有收到相同的结构。
有谁知道如何手动格式化这个JSON到CSV格式，或知道一个可以处理嵌套值的可靠转换器？
尝试
http://www.json-buddy.com/convert-json-csv-xml.htm
如果不适合你，那么你可以尝试这个工具
http://download.cnet.com/JSON-to-CSV/3000-2383_4-76680683.html
应该是有帮助的！
我已经试过你的JSON在这个url：
http://www.convertcsv.com/json-to-csv.htm
因此：UnitNumber，DataSource，ContractNumber，CarNumber，ControllerTypeMessageId，NumberOfLandings，CreatedBy，CommissionModeMessageId，Details / 0 / DetailName，Details / 0 / DetailNumber，UnitDevices / 0 / DeviceTypeMessageId，UnitDevices / 0 / CreatedBy TestUnit13，Factory，TestContract13,2 ，4,4，user1,2，TestFloor13,5,1，USER1
因为它可以保存密钥的path，比如列表“UnitDevices”中的“DeviceTypeMessageId”：它将使用“UnitDevices / 0 / DeviceTypeMessageId”命名列名，这样可以避免同名错误，所以你可以得到列名称由其转换器规则。
希望有帮助。
这是一个使用jq的解决scheme
如果文件filter.jq包含
def denormalize: def headers($p): keys_unsorted[] as $k | if .[$k]|type == "array" then (.[$k]|first|headers("\($p)\($k)_")) else "\($p)\($k)" end ; def setup: [ keys_unsorted[] as $k | if .[$k]|type == "array" then [ .[$k][]| setup ] else .[$k] end ] ; def iter: if length == 0 then [] elif .[0]|type != "array" then [.[0]] + (.[1:] | iter) else (.[0][] | iter) as $x | (.[1:] | iter) as $y | [$x[]] + $y end ; [ headers("") ], (setup | iter) ; denormalize | @csv
和data.json包含（注意额外的样本添加）
{ "GroupName": "GrpName13", "Notes": "Test Group ", "Number": 3, "Units": [ { "CarNumber": "2", "CommissionModeMessageId": 2, "ContractNumber": "TestContract13", "ControllerTypeMessageId": 4, "CreatedBy": "user1", "DataSource": "Factory", "Details": [ { "DetailName": "TestFloor13", "DetailNumber": "5" } ], "NumberOfLandings": 4, "UnitDevices": [ { "CreatedBy": "user1", "DeviceTypeMessageId": 1 }, { "CreatedBy": "user10", "DeviceTypeMessageId": 10 } ], "UnitNumber": "TestUnit13" }, { "CarNumber": "99", "CommissionModeMessageId": 99, "ContractNumber": "Contract99", "ControllerTypeMessageId": 99, "CreatedBy": "user99", "DataSource": "Another Factory", "Details": [ { "DetailName": "TestFloor99", "DetailNumber": "99" } ], "NumberOfLandings": 99, "UnitDevices": [ { "CreatedBy": "user99", "DeviceTypeMessageId": 99 } ], "UnitNumber": "Unit99" } ] }
那么命令
jq -M -r -f filter.jq data.json
会产生
"GroupName","Notes","Number","Units_CarNumber","Units_CommissionModeMessageId","Units_ContractNumber","Units_ControllerTypeMessageId","Units_CreatedBy","Units_DataSource","Units_Details_DetailName","Units_Details_DetailNumber","Units_NumberOfLandings","Units_UnitDevices_CreatedBy","Units_UnitDevices_DeviceTypeMessageId","Units_UnitNumber" "GrpName13","Test Group ",3,"2",2,"TestContract13",4,"user1","Factory","TestFloor13","5",4,"user1",1,"TestUnit13" "GrpName13","Test Group ",3,"2",2,"TestContract13",4,"user1","Factory","TestFloor13","5",4,"user10",10,"TestUnit13" "GrpName13","Test Group ",3,"99",99,"Contract99",99,"user99","Another Factory","TestFloor99","99",99,"user99",99,"Unit99"