JQ：将 UNIX 时间戳转换为日期时间

Question

我实际上JQ1.5在一个Windows 10环境下使用转换几个json文件以导入到MS SQL数据库中。部分数据已格式化UNIX timestamp，我需要将这些数据转换为 ISO 8601 格式。

以下命令我实际用于数据转换：

jq '
[
  { nid, title, nights, zone: .zones[0].title} + 
  (.sails[] | { sails_nid: .nid, arrival, departure } ) + 
  (.sails[].cabins[] | 
    { cabintype: .cabinType.kindName, 
      cabinid:   .cabinType.nid,  
      catalogPrice, 
      discountPrice, 
      discountPercentage, 
      currency 
    }
  )
]
' C:\Import\dreamlines_details.json > C:\Import\import_sails.json

到达和离开是 Unix 时间格式的数据。

数据：

[
  {
    "nid": 434508,
    "title": "Die schönsten Orte unserer Welt",
    "nights": 121,
    "zone": "Weltreise",
    "sails_nid": 434516,
    "arrival": 1525644000,
    "departure": 1515193200,
    "cabintype": "Innenkabine",
    "cabinid": 379723,
    "catalogPrice": 17879,
    "discountPrice": 9519,
    "discountPercentage": 0.4675876726886291,
    "currency": "EUR"
  },
  {
    "nid": 434508,
    "title": "Die schönsten Orte unserer Welt",
    "nights": 121,
    "zone": "Weltreise",
    "sails_nid": 434516,
    "arrival": 1525644000,
    "departure": 1515193200,
    "cabintype": "Innenkabine",
    "cabinid": 379730,
    "catalogPrice": 18599,
    "discountPrice": 10239,
    "discountPercentage": 0.44948653153395346,
    "currency": "EUR"
  }
]

我尝试了内置运算符“todate”和“strftime”。但只得到解析错误。

Answer 1

使用todateiso8601功能：

jq '.[].arrival |= todateiso8601 | .[].departure |= todateiso8601' C:\Import\import_sails.json

输出（对于您的输入片段）：

[
  {
    "nid": 434508,
    "title": "Die schönsten Orte unserer Welt",
    "nights": 121,
    "zone": "Weltreise",
    "sails_nid": 434516,
    "arrival": "2018-05-06T22:00:00Z",
    "departure": "2018-01-05T23:00:00Z",
    "cabintype": "Innenkabine",
    "cabinid": 379723,
    "catalogPrice": 17879,
    "discountPrice": 9519,
    "discountPercentage": 0.4675876726886291,
    "currency": "EUR"
  },
  {
    "nid": 434508,
    "title": "Die schönsten Orte unserer Welt",
    "nights": 121,
    "zone": "Weltreise",
    "sails_nid": 434516,
    "arrival": "2018-05-06T22:00:00Z",
    "departure": "2018-01-05T23:00:00Z",
    "cabintype": "Innenkabine",
    "cabinid": 379730,
    "catalogPrice": 18599,
    "discountPrice": 10239,
    "discountPercentage": 0.44948653153395346,
    "currency": "EUR"
  }
]