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怎么使用joltjson
这篇文章主要介绍“怎么使用jolt json”，在日常操作中，相信很多人在怎么使用jolt json问题上存在疑惑，小编查阅了各式资料，整理出简单好用的操作方法，希望对大家解答”怎么使用jolt json”的疑惑有所帮助！接下来，请跟着小编一起来学习吧！
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模式的含义
shift 清空后输出
default 直接输出，类似于增量
* 匹配所有
& 取key值 出现在value里 例子：&=&0当前层级 &1向上1级 value里没有能力获取key值但是可以通过*，$配合使用
$ 取key值 出现在key里 同上
@ 取value值 出现在key里 例子：@(3,clientId) @取value值 {{{从上往下3级，到clientId，hidden,取clientId的值
# 固定输出值 出现在key里或value里盗梦空间 - Inception
josn input
{
"rating": {
"primary": {
"value": 3
},
"quality": {
"value": 3
}
}
}json spec
[
{
//shfit清空后输出
"operation": "shift",
"spec": {
"rating": {
"primary": {
// 获取rating.primary.value值 重命名为Rating
"value": "Rating"
},
// *表示匹配所有json数据，*优先级最低，却明确越优先，所有下面不会处理primary
"*": {
// &1 means, go up one level and grab that value and substitute it in
// &1表示，向上一级，获取那个值并代入
// 下面这个场景 &1 = "quality"
//SecondaryRatings就是命名的一个固定的字段而已，Value也是
//SecondaryRatings.quality.Value=3
"value": "SecondaryRatings.&1.Value",
// "$"表示把input中json的key拿过来
"$": "SecondaryRatings.&1.Id"
}
}
}
},
{
//default直接输出，类似于增量
"operation": "default",
"spec": {
"Range": 5,
"SecondaryRatings": {
"*": {
// SecondaryRatings下都会加上ChildRange=5
"ChildRange": 5
}
}
}
}
]json output
{
"Rating" : 3,
"SecondaryRatings" : {
"quality" : {
"Id" : "quality",
"Value" : 3,
"ChildRange" : 5
}
},
"Range" : 5
}给所有key添加rating-前缀 - Convert nested data, to 'prefix soup'.
json input
{
"Rating": 1,
"SecondaryRatings": {
"Design": 4,
"Price": 2,
"RatingDimension3": 1
}
}json spec
[
{
"operation": "shift",
"spec": {
//Rating重命名为rating-primary
//rating-primary=1
"Rating": "rating-primary",
// 将所有二级评级转换为前缀数据
"SecondaryRatings": {
//&表示&0，也就是向上0级，就是当前级
"*": "rating-&"
}
}
}
]json output
{
"rating-primary" : 1,
"rating-Design" : 4,
"rating-Price" : 2,
"rating-RatingDimension3" : 1
}一级结构根据key规则转换为多级结构 - Convert 'prefix soup', to nested data.
json input
{
"rating-primary": 1,
"rating-Price": 2,
"rating-Design": 4,
"rating-RatingDimension3": 1
}json spec
[
{
"operation": "shift",
"spec": {
// rating-primary重命名为 Rating
"rating-primary": "Rating",
// 剩下的rating-
//SecondaryRatings.是固定值
//"rating-*": "Ratings2.&",
//&是获取当前级key，也就是rating-Price，rating-Design，rating-RatingDimension3
//这时我想去掉key中rating-，变成Price，Design，RatingDimension3
"rating-*": "Ratings3.&(0,1)"
}
}
]json output
{
"Rating" : 1,
"SecondaryRatings" : {
"Price" : 2,
"Design" : 4,
"RatingDimension3" : 1
}
}获取LHS键值 - Grab LHS key values.
json input
{
"rating": {
"primary": {
"value": 3,
"max": 5
},
"quality": {
"value": 3,
"max": 7
}
}
}json spec
[
{
"operation": "shift",
"spec": {
"rating": {
//匹配rating下面一级，也就是primary，quality
"*": {
//输出成ratingNames的一个数组
//key都是通过$，也就是$0获取得来， $=primary，quality
"$": "ratingNames[]"
//$1=rating
}
}
}
}
]json output
{
"ratingNames" : [ "primary", "quality" ]
}Map（key-value）转List（数组） - Map to list.
json input
{
"ratings": {
"primary": 5,
"quality": 4,
"design": 5
}
}json spec
[
{
"operation": "shift",
"spec": {
"ratings": {
"*": {
// #2 means go three levels up the tree (count from 0),
// and ask the "ratings" node, how many of it's
// children have been matched.
//
// This allows us to put the Name and the Value into
// the same object in the Ratings array.
//$=$0当前层级primary，quality，design
//#2表示向上移动三层(从0开始计数)，
//Ratings[]定义一个数组
//数组两个变量Name和Value
//@取value
"$": "Ratings[#2].Name",
"@": "Ratings[#2].Value"
//自己推到一下
//"$": "Ratings[]" "Ratings" : [ "primary", "quality", "design" ]
//"$": "Ratings[].test" "Ratings" : [ {
// "test" : "primary"
// }, {
// "test" : "quality"
// }, {
// "test" : "design"
// } ]
//"$": "Ratings[#].test" {
// "Ratings" : [ {
// "test" : [ "primary", "quality", "design" ]
// } ]
// }
//
//#=#0=#1
//Ratings[#2].test {
// "Ratings" : [ {
// "test" : "primary"
// }, {
// "test" : "quality"
// }, {
// "test" : "design"
// } ]
// }
// "$": "Ratings[#2].Name",
//"@": "Ratings[#2].Value" {
// "Ratings" : [ {
// "Name" : "primary",
// "Value" : 5
// }, {
// "Name" : "quality",
// "Value" : 4
// }, {
// "Name" : "design",
// "Value" : 5
// } ]
// }
// "$": "Ratings[].Name",
// "@": "Ratings[].Value" {
// "Ratings" : [ {
// "Name" : "primary"
// }, {
// "Value" : 5
// }, {
// "Name" : "quality"
// }, {
// "Value" : 4
// }, {
// "Name" : "design"
// }, {
// "Value" : 5
// } ]
// }
// "$": "Ratings[#].Name",
// "@": "Ratings[#].Value" {
// "Ratings" : [ {
// "Name" : [ "primary", "quality", "design" ],
// "Value" : [ 5, 4, 5 ]
// } ]
// }
//#=#0=#1
}
}
}
}
]json output
{
"Ratings" : [ {
"Name" : "primary",
"Value" : 5
}, {
"Name" : "quality",
"Value" : 4
}, {
"Name" : "design",
"Value" : 5
} ]
}List（array） to Map（key value） - List to Map.
json input
{
"Photos": [
{
"Id": "327703",
"Caption": "TEST>> photo 1",
"Url": "/upload/otherpica42/779658.jpg"
},
{
"Id": "327704",
"Caption": "TEST>> photo 2",
"Url": "/upload/otherpica42/779659.jpg"
}
]
}json spec
[
// 平铺
{
"operation": "shift",
"spec": {
"Photos": {
"*": {
//&1 取到的是数组的下标
"Id": "photo-&1-id",
"Caption": "photo-&1-caption",
"Url": "photo-&1-url"
}
}
}
}
]json output
{
"photo-0-id" : "327703",
"photo-0-caption" : "TEST>> photo 1",
"photo-0-url" : "/upload/otherpica42/779658.jpg",
"photo-1-id" : "327704",
"photo-1-caption" : "TEST>> photo 2",
"photo-1-url" : "/upload/otherpica42/779659.jpg"
}对象属性转map（key value）- On a match, apply a String default.
json input
{
"data" : {
"1234": {
"clientId": "12",
"hidden": true
},
"1235": {
"clientId": "35",
"hidden": false
}
}
}json spec
[
{
"operation": "shift",
"spec": {
"data": {
"*": {
"hidden": {
//value也可以写在这里的
"true": {
//clients固定
//@(3,clientId) @取value值 *所以从data开始 data.xxx.clientId从上往下3级，到clientId，hidden,取clientId的值
//#有点像转译符，让disabled原样输出
"#disabled": "clients.@(3,clientId)"
},
"false": {
"#enabled": "clients.@(3,clientId)"
}
}
}
}
}
}
]json output
{
"clients" : {
"12" : "disabled",
"35" : "enabled"
}
}基本情况简单转置 - Base case simple Transpose.
json input
{
"data": {
"clientId": "1234",
"clientName": "Acme"
}
}json spec
[
{
"operation": "shift",
"spec": {
"data": {
// @clientName取clientName的值Acme
// @clientId取clientId的值1234
"@clientName": "bookMap.@clientId"
// 取clientName的值
//第1级取cliendId的值 没有*所以从data里面开始clientName所以是1
// "clientName": "bookMap.@(1,clientId)"
}
}
}
]json output
{
"bookMap" : {
"1234" : "Acme"
}
}复/嵌套转置 - Complex / nested Transpose.
json input
{
"clientsActive": true,
"clients": {
"Acme": {
"clientId": "Acme",
"index": 1
},
"Axe": {
"clientId": "AXE",
"index": 0
}
},
"data": {
"bookId": null,
"bookName": "Enchiridion"
}
}json spec
[
{//先放一下，不好理解
"operation": "shift",
"spec": {
"clientsActive": {
"true": {
"@(2,clients)": {
// Test the ability to continue to match after doing a Transpose
"*": {
"clientId": "clientIds[@(1,index)]"
}
},
// Verify that it something does not exist, it does not output a null
"@(2,pants)": "pants"
},
"data": {
// Verify the ability for Transpose to lookup and use a "valid" null, aka one that was in the input data
"@bookId": "books.@bookName"
}
}
}
}
]json output
{
"clientIds" : [ "AXE", "Acme" ]
}转译 - Escaping Shiftr special chars.
json input
{
"comment" : "pulled from http://json-ld.org/playground/ example recipe. Also, Mojitos are good.",
"@context": {
"name": "http://rdf.data-vocabulary.org/#name",
"ingredient": "http://rdf.data-vocabulary.org/#ingredients",
"yield": "http://rdf.data-vocabulary.org/#yield",
"instructions": "http://rdf.data-vocabulary.org/#instructions",
"step": {
"@id": "http://rdf.data-vocabulary.org/#step",
"@type": "xsd:integer"
},
"description": "http://rdf.data-vocabulary.org/#description",
"xsd": "http://www.w3.org/2001/XMLSchema#"
},
"name": "Mojito",
"ingredient": [
"12 fresh mint leaves",
"1/2 lime, juiced with pulp",
"1 tablespoons white sugar",
"1 cup ice cubes",
"2 fluid ounces white rum",
"1/2 cup club soda"
],
"yield": "1 cocktail",
"instructions": [
{
"step": 1,
"description": "Crush lime juice, mint and sugar together in glass."
},
{
"step": 2,
"description": "Fill glass to top with ice cubes."
},
{
"step": 3,
"description": "Pour white rum over ice."
},
{
"step": 4,
"description": "Fill the rest of glass with club soda, stir."
},
{
"step": 5,
"description": "Garnish with a lime wedge."
}
]
}json spec
[
{
"operation": "shift",
"spec": {
// 因为 Java 所以使用//转译
// 这些都要转译 . @ $ & \ [ ]
"\\@context": {
//内层几种取值的方法
"name": "&1.Name",
"ingredient": "&1.Inputs",
"yield": "\\@context.Makes",
// pass the rest thru
//内层原样输出
"*": "&1.&"
},
//三个字段重命名
"name": "Name",
"ingredient": "Inputs",
"yield": "Makes",
//剩余的原样输出
"*": "&"
}
}
]json output
{
"comment" : "pulled from http://json-ld.org/playground/ example recipe. Also, Mojitos are good.",
"@context" : {
"Name" : "http://rdf.data-vocabulary.org/#name",
"Inputs" : "http://rdf.data-vocabulary.org/#ingredients",
"Makes" : "http://rdf.data-vocabulary.org/#yield",
"instructions" : "http://rdf.data-vocabulary.org/#instructions",
"step" : {
"@id" : "http://rdf.data-vocabulary.org/#step",
"@type" : "xsd:integer"
},
"description" : "http://rdf.data-vocabulary.org/#description",
"xsd" : "http://www.w3.org/2001/XMLSchema#"
},
"Name" : "Mojito",
"Inputs" : [ "12 fresh mint leaves", "1/2 lime, juiced with pulp", "1 tablespoons white sugar", "1 cup ice cubes", "2 fluid ounces white rum", "1/2 cup club soda" ],
"Makes" : "1 cocktail",
"instructions" : [ {
"step" : 1,
"description" : "Crush lime juice, mint and sugar together in glass."
}, {
"step" : 2,
"description" : "Fill glass to top with ice cubes."
}, {
"step" : 3,
"description" : "Pour white rum over ice."
}, {
"step" : 4,
"description" : "Fill the rest of glass with club soda, stir."
}, {
"step" : 5,
"description" : "Garnish with a lime wedge."
} ]
}转置数组中的数据 - Transpose data in an Array.
json input
{
"restaurantId": "ZZ4ORJDY3E",
"chainId": "RLR932KI",
"orderItems": [
{
"itemName": "Small Barqs",
"quantity": 2
},
{
"itemName": "Mozzz",
"quantity": 1
}
]
}json spec
[
{
"operation": "shift",
"spec": {
"chainId": "retailer_id",
"restaurantId": "store_id",
"orderItems": {
//遍历数组
"*": {
// value=quantity的值 1，2
// basket_item[]数组输出
// 数组key=itemName
"quantity": "basket_item.[].@(1,itemName)"
}
}
}
}
]json output
{
"retailer_id" : "RLR932KI",
"store_id" : "ZZ4ORJDY3E",
"basket_item" : [ {
"Small Barqs" : 2
}, {
"Mozzz" : 1
} ]
}根据数组中某个属性重建数组 - Bucket data from an Array, based on a leaf level value.
json input
{
"entities": [
{
"type": "alpha",
"data": "foo"
},
{
"type": "beta",
"data": "bar"
},
{
"type": "alpha",
"data": "zoo"
}
]
}json spec
[
{
"operation": "shift",
"spec": {
"entities": {
//根据type的值重建数组
"*": "@type[]"
}
}
}
]json output
{
"alpha" : [ {
"type" : "alpha",
"data" : "foo"
}, {
"type" : "alpha",
"data" : "zoo"
} ],
"beta" : [ {
"type" : "beta",
"data" : "bar"
} ]
}取一部分数据 - Filter data from an Array, based on a leaf level value.
json input
{
"books": [
{
"title": "foo",
"availability": [
"online"
]
},
{
"title": "bar",
"availability": [
"online",
"paperback"
]
},
{
"title": "baz",
"availability": [
"paperback"
]
}
]
}json spec
[
{
"operation": "shift",
"spec": {
"books": {
"*": {
"availability": {
"*": {
// if the value in the array is "paperback"
// grab the whole "book object" and write it out to
// a PaperBooks array.
// The "@3" means go up the tree 4 levels and grab what is there
// 4 levels up cause "real" programmers count from 0 ;)
//只取有paperback的数据
//数据取@3的数据books.availability.*
"paperback": {
"@3": "PaperBooks[]"
}
}
}
}
}
}
}
]json output
{
"PaperBooks" : [ {
"title" : "bar",
"availability" : [ "online", "paperback" ]
}, {
"title" : "baz",
"availability" : [ "paperback" ]
} ]
}到此，关于“怎么使用jolt json”的学习就结束了，希望能够解决大家的疑惑。理论与实践的搭配能更好的帮助大家学习，快去试试吧！若想继续学习更多相关知识，请继续关注创新互联网站，小编会继续努力为大家带来更多实用的文章！
本文名称：怎么使用joltjson
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