Groovy 전환 JSON 및 생산 JSON

8607 단어 groovy
Groovy 클래스와 JSON 간의 상호 전환은 주로groovy에 있다.json 패키지 아래
1. JsonSlurper
Json Slurper라는 클래스는 JSON 텍스트를 변환하거나 Groovy 데이터 구조에서 맵,list, 그리고 일부 기본적인 데이터 형식인 Integer, Double,Boolean,String을 읽는 데 사용됩니다.
이 클래스에는 일련의 다시 불러오는 Parse 방법과 특수한 방법이 있습니다. 예를 들어parseText,parseFile.다음 이직은parseText 사용을 예로 삼아 JSON 문자열을list와 맵 대상으로 변환합니다.다른 Parse의 시작 방법은 이와 유사하지만 매개 변수가 다를 뿐입니다.
import groovy.json.JsonSlurper
class ParseJson_01 {
    static main(args) {
        def jsonSlurper = new JsonSlurper()
        def object = jsonSlurper.parseText('{ "name": "John Doe"} ')
        assert object instanceof Map
        assert object.name == 'John Doe'
    }
}
 
Json Slurper는 맵 지원을 제외하고 JSON 데이터를lists로 바꿉니다.
 
import groovy.json.JsonSlurper
class ParseJson_02 {
 
    static main(args) {
        def jsonSlurper = new JsonSlurper()
        def object = jsonSlurper.parseText('{ "myList": [4, 8, 15, 16, 23, 42] }')
        assert object instanceof Map
        assert object.myList instanceof List
        assert object.myList == [4, 8, 15, 16, 23, 42]
    }
}
 
JSON이 지원하는 표준 원시 데이터 형식:string,number,object,true,false,null.Json Slurper는 이것들을 상응하는 Groovy 유형으로 해석한다.
def jsonSlurper = new JsonSlurper()
        def object = jsonSlurper.parseText '''
{ "simple": 123,
"fraction": 123.66,
"exponential": 123e12
}'''
        assert object instanceof Map
        assert object.simple.class == Integer
     assert object.fraction.class == BigDecimal 

 
As JsonSlurper is returning pure Groovy object instances without any special JSON classes in the back, its usage is transparent. In fact, JsonSlurper results conform to GPath expressions. GPath is a powerful expression language that is supported by multiple slurpers for different data formats (XmlSlurper for XML being one example).
 
For more details please have a look at the section on GPath expressions .
Json
groovy에 대응하는 데이터 형식
JSON
Groovy
string
java.lang.String
number
java.lang.BigDecimal or java.lang.Integer
object
java.util.LinkedHashMap
array
java.util.ArrayList
true
true
false
false
null
null
date
java.util.Date based on the yyyy-MM-dd'T'HH:mm:ssZ date format
 
Whenever a value in JSON is null, JsonSlurper supplements it with the Groovy null value. This is in contrast to other JSON parsers that represent a null value with a library-provided singleton object.
1.1. Parser Variants
JsonSlurper comes with a couple of parser implementations. Each parser fits different requirements, it could well be that for certain scenarios the JsonSlurper default parser is not the best bet for all situations. Here is an overview of the shipped parser implementations:
  • The JsonParserCharArray parser basically takes a JSON string and operates on the underlying character array. During value conversion it copies character sub-arrays (a mechanism known as "chopping") and operates on them.
  • The JsonFastParser is a special variant of the JsonParserCharArray and is the fastest parser. However, it is not the default parser for a reason. JsonFastParser is a so-called index-overlay parser. During parsing of the given JSON String it tries as hard as possible to avoid creating new char arrays or String instances. It keeps pointers to the underlying original character array only. In addition, it defers object creation as late as possible. If parsed maps are put into long-term caches care must be taken as the map objects might not be created and still consist of pointer to the original char buffer only. However, JsonFastParser comes with a special chop mode which dices up the char buffer early to keep a small copy of the original buffer. Recommendation is to use the JsonFastParser for JSON buffers under 2MB and keeping the long-term cache restriction in mind.
  • The JsonParserLax is a special variant of the JsonParserCharArray parser. It has similar performance characteristics as JsonFastParser but differs in that it isn't exclusively relying on the ECMA-404 JSON grammar. For example it allows for comments, no quote strings etc.
  • The JsonParserUsingCharacterSource is a special parser for very large files. It uses a technique called "character windowing"to parse large JSON files (large means files over 2MB size in this case) with constant performance characteristics.

  • The default parser implementation for JsonSlurper is JsonParserCharArray. The JsonParserType enumeration contains constants for the parser implementations described above:
    Implementation
    Constant
    JsonParserCharArray
    JsonParserType#CHAR_BUFFER
    JsonFastParser
    JsonParserType#INDEX_OVERLAY
    JsonParserLax
    JsonParserType#LAX
    JsonParserUsingCharacterSource
    JsonParserType#CHARACTER_SOURCE
    Changing the parser implementation is as easy as setting the JsonParserType with a call to JsonSlurper#setType().
    def jsonSlurper = new JsonSlurper(type: JsonParserType.INDEX_OVERLAY)
    
    
    def object = jsonSlurper.parseText('{ "myList": [4, 8, 15, 16, 23, 42] }')
    
    

     
    assert object instanceof Map
    
    
    assert object.myList instanceof List
    
    
    assert object.myList == [4, 8, 15, 16, 23, 42]
    
    

    2. JsonOutput
    JsonOutput is responsible for serialising Groovy objects into JSON strings. It can be seen as companion object to JsonSlurper , being a JSON parser.
    JsonOutput comes with overloaded, static toJson methods. Each toJson implementation takes a different parameter type. The static method can either be used directly or by importing the methods with a static import statement.
    The result of a toJson call is a String containing the JSON code.
    def json = JsonOutput.toJson([name: 'John Doe', age: 42])
    
    

     
    assert json == '{"name":"John Doe","age":42}'
    
    

    JsonOutput does not only support primitive, maps or list data types to be serialized to JSON, it goes further and even has support for serialising POGOs, that is, plain-old Groovy objects.
    class Person { String name }
    
    

     
    def json = JsonOutput.toJson([ new Person(name: 'John'), new Person(name: 'Max') ])
    
    

     
    assert json == '[{"name":"John"},{"name":"Max"}]'
    
    

    As we saw in previous examples, the JSON output is not pretty printed per default. However, the prettyPrint method in JsonSlurper comes to rescue for this task.
    def json = JsonOutput.toJson([name: 'John Doe', age: 42])
    
    

     
    assert json == '{"name":"John Doe","age":42}'
    
    

     
    assert JsonOutput.prettyPrint(json) == '''\
    
    
    {
    
    
        "name": "John Doe",
    
    
        "age": 42
    
    
    }'''.stripIndent()
    
    

    prettyPrint takes a String as single parameter. It must not be used in conjunction with the other JsonOutput methods, it can be applied on arbitrary JSON String instances.
    Another way to create JSON from Groovy is to use the JsonBuilder or StreamingJsonBuilder. Both builders provide a DSL which allows to formulate an object graph which is then converted to JSON at some point.
     
    For more details on builders, have a look at the builders chapter which covers both JSON builders in great depth.

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