我有以下JSON文本。我如何解析它以获得pageName, pagePic, post_id等的值?
{
"pageInfo": {
"pageName": "abc",
"pagePic": "http://example.com/content.jpg"
},
"posts": [
{
"post_id": "123456789012_123456789012",
"actor_id": "1234567890",
"picOfPersonWhoPosted": "http://example.com/photo.jpg",
"nameOfPersonWhoPosted": "Jane Doe",
"message": "Sounds cool. Can't wait to see it!",
"likesCount": "2",
"comments": [],
"timeOfPost": "1234567890"
}
]
}
Quick-json解析器非常简单,灵活,快速,可定制。试一试
特点:
Compliant with JSON specification (RFC4627)
High-Performance JSON parser
Supports Flexible/Configurable parsing approach
Configurable validation of key/value pairs of any JSON Hierarchy
Easy to use # Very small footprint
Raises developer friendly and easy to trace exceptions
Pluggable Custom Validation support - Keys/Values can be validated by configuring custom validators as and when encountered
Validating and Non-Validating parser support
Support for two types of configuration (JSON/XML) for using quick-JSON validating parser
Requires JDK 1.5
No dependency on external libraries
Support for JSON Generation through object serialisation
Support for collection type selection during parsing process
它可以这样使用:
JsonParserFactory factory=JsonParserFactory.getInstance();
JSONParser parser=factory.newJsonParser();
Map jsonMap=parser.parseJson(jsonString);
几乎所有给出的答案都要求在访问感兴趣的属性中的值之前,将JSON完全反序列化为Java对象。另一种不走这条路的替代方法是使用JsonPATH,它类似于JSON的XPath,允许遍历JSON对象。
它是一个规范,JayWay的优秀人员已经为该规范创建了一个Java实现,您可以在这里找到:https://github.com/jayway/JsonPath
所以基本上要使用它,把它添加到你的项目中,例如:
<dependency>
<groupId>com.jayway.jsonpath</groupId>
<artifactId>json-path</artifactId>
<version>${version}</version>
</dependency>
并使用:
String pageName = JsonPath.read(yourJsonString, "$.pageInfo.pageName");
String pagePic = JsonPath.read(yourJsonString, "$.pageInfo.pagePic");
String post_id = JsonPath.read(yourJsonString, "$.pagePosts[0].post_id");
等等……
查看JsonPath规范页面,了解横向JSON的其他方法的更多信息。
JSON是这样的:
{
"pageInfo": {
"pageName": "abc",
"pagePic": "http://example.com/content.jpg"
}
}
Java类
class PageInfo {
private String pageName;
private String pagePic;
// Getters and setters
}
将此JSON转换为Java类的代码。
PageInfo pageInfo = JsonPath.parse(jsonString).read("$.pageInfo", PageInfo.class);
Maven
<dependency>
<groupId>com.jayway.jsonpath</groupId>
<artifactId>json-path</artifactId>
<version>2.2.0</version>
</dependency>
主要有两种选择……
Object mapping. When you deserialize JSON data to a number of instances of:
1.1. Some predefined classes, like Maps. In this case, you don't have to design your own POJO classes. Some libraries: org.json.simple https://www.mkyong.com/java/json-simple-example-read-and-write-json/
1.2. Your own POJO classes. You have to design your own POJO classes to present JSON data, but this may be helpful if you are going to use them into your business logic as well. Some libraries: Gson, Jackson (see http://tutorials.jenkov.com/java-json/index.html)
映射的主要缺点是它会导致大量内存分配(以及GC压力)和CPU占用。
面向流的解析。例如,Gson和Jackson都支持这种轻量级解析。另外,您还可以查看一个自定义的、快速的、无gc的解析器示例https://github.com/anatolygudkov/green-jelly。在需要解析大量数据和对延迟敏感的应用程序中,更倾向于使用这种方式。
可以使用Apache @Model注释创建表示JSON文件结构的Java模型类,并使用它们访问JSON树中的各种元素。与其他解决方案不同,该解决方案完全没有反射,因此适用于不可能反射或开销很大的环境。
有一个示例Maven项目展示了这种用法。首先它定义了结构:
@Model(className="RepositoryInfo", properties = {
@Property(name = "id", type = int.class),
@Property(name = "name", type = String.class),
@Property(name = "owner", type = Owner.class),
@Property(name = "private", type = boolean.class),
})
final class RepositoryCntrl {
@Model(className = "Owner", properties = {
@Property(name = "login", type = String.class)
})
static final class OwnerCntrl {
}
}
然后它使用生成的RepositoryInfo和Owner类来解析所提供的输入流,并在此过程中获取某些信息:
List<RepositoryInfo> repositories = new ArrayList<>();
try (InputStream is = initializeStream(args)) {
Models.parse(CONTEXT, RepositoryInfo.class, is, repositories);
}
System.err.println("there is " + repositories.size() + " repositories");
repositories.stream().filter((repo) -> repo != null).forEach((repo) -> {
System.err.println("repository " + repo.getName() +
" is owned by " + repo.getOwner().getLogin()
);
})
就是这样!除此之外,这里还有一个生动的要点,展示了类似的例子以及异步网络通信。