使用Jackson来实现Java对象与JSON的相互转换的教程
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2024-03-08 09:49:40
一、入门
jackson中有个objectmapper类很是实用,用于java对象与json的互换。
1.java对象转json[json序列化]
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一、入门
jackson中有个objectmapper类很是实用,用于java对象与json的互换。
1.java对象转json[json序列化]
import java.io.ioexception; import java.text.parseexception; import java.text.simpledateformat; import com.fasterxml.jackson.databind.objectmapper; public class jacksondemo { public static void main(string[] args) throws parseexception, ioexception { user user = new user(); user.setname("小民"); user.setemail("xiaomin@sina.com"); user.setage(20); simpledateformat dateformat = new simpledateformat("yyyy-mm-dd"); user.setbirthday(dateformat.parse("1996-10-01")); /** * objectmapper是json操作的核心,jackson的所有json操作都是在objectmapper中实现。 * objectmapper有多个json序列化的方法,可以把json字符串保存file、outputstream等不同的介质中。 * writevalue(file arg0, object arg1)把arg1转成json序列,并保存到arg0文件中。 * writevalue(outputstream arg0, object arg1)把arg1转成json序列,并保存到arg0输出流中。 * writevalueasbytes(object arg0)把arg0转成json序列,并把结果输出成字节数组。 * writevalueasstring(object arg0)把arg0转成json序列,并把结果输出成字符串。 */ objectmapper mapper = new objectmapper(); //user类转json //输出结果:{"name":"小民","age":20,"birthday":844099200000,"email":"xiaomin@sina.com"} string json = mapper.writevalueasstring(user); system.out.println(json); //java集合转json //输出结果:[{"name":"小民","age":20,"birthday":844099200000,"email":"xiaomin@sina.com"}] list<user> users = new arraylist<user>(); users.add(user); string jsonlist = mapper.writevalueasstring(users); system.out.println(jsonlist); } }
2.json转java类[json反序列化]
import java.io.ioexception; import java.text.parseexception; import com.fasterxml.jackson.databind.objectmapper; public class jacksondemo { public static void main(string[] args) throws parseexception, ioexception { string json = "{\"name\":\"小民\",\"age\":20,\"birthday\":844099200000,\"email\":\"xiaomin@sina.com\"}"; /** * objectmapper支持从byte[]、file、inputstream、字符串等数据的json反序列化。 */ objectmapper mapper = new objectmapper(); user user = mapper.readvalue(json, user.class); system.out.println(user); } }
二、jackson支持3种使用方式:
1、data binding:最方便使用.
(1)full data binding:
private static final string model_binding = "{\"name\":\"name1\",\"type\":1}"; public void fulldatabinding() throws exception{ objectmapper mapper = new objectmapper(); model user = mapper.readvalue(model_binding, model.class);//readvalue到一个实体类中. system.out.println(user.getname()); system.out.println(user.gettype()); }
model类:
private static class model{ private string name; private int type; public string getname() { return name; } public void setname(string name) { this.name = name; } public int gettype() { return type; } public void settype(int type) { this.type = type; } }
(2)raw data binding:
/** concrete java types that jackson will use for simple data binding are: json type java type object linkedhashmap<string,object> array arraylist<object> string string number(no fraction) integer, long or biginteger (smallest applicable) number(fraction) double(configurable to use bigdecimal) true|false boolean null null */ public void rawdatabinding() throws exception{ objectmapper mapper = new objectmapper(); hashmap map = mapper.readvalue(model_binding,hashmap.class);//readvalue到一个原始数据类型. system.out.println(map.get("name")); system.out.println(map.get("type")); }
(3)generic data binding:
private static final string generic_binding = "{\"key1\":{\"name\":\"name2\",\"type\":2},\"key2\":{\"name\":\"name3\",\"type\":3}}"; public void genericdatabinding() throws exception{ objectmapper mapper = new objectmapper(); hashmap<string,model> modelmap = mapper.readvalue(generic_binding,new typereference<hashmap<string,model>>(){});//readvalue到一个范型数据中. model model = modelmap.get("key2"); system.out.println(model.getname()); system.out.println(model.gettype()); }
2、tree model:最灵活。
private static final string tree_model_binding = "{\"treekey1\":\"treevalue1\",\"treekey2\":\"treevalue2\",\"children\":[{\"childkey1\":\"childkey1\"}]}"; public void treemodelbinding() throws exception{ objectmapper mapper = new objectmapper(); jsonnode rootnode = mapper.readtree(tree_model_binding); //path与get作用相同,但是当找不到该节点的时候,返回missing node而不是null. string treekey2value = rootnode.path("treekey2").gettextvalue();// system.out.println("treekey2value:" + treekey2value); jsonnode childrennode = rootnode.path("children"); string childkey1value = childrennode.get(0).path("childkey1").gettextvalue(); system.out.println("childkey1value:"+childkey1value); //创建根节点 objectnode root = mapper.createobjectnode(); //创建子节点1 objectnode node1 = mapper.createobjectnode(); node1.put("nodekey1",1); node1.put("nodekey2",2); //绑定子节点1 root.put("child",node1); //数组节点 arraynode arraynode = mapper.createarraynode(); arraynode.add(node1); arraynode.add(1); //绑定数组节点 root.put("arraynode", arraynode); //json读到树节点 jsonnode valuetotreenode = mapper.valuetotree(tree_model_binding); //绑定json节点 root.put("valuetotreenode",valuetotreenode); //json绑定到json节点对象 jsonnode bindjsonnode = mapper.readvalue(generic_binding, jsonnode.class);//绑定json到json节点对象. //绑定json节点 root.put("bindjsonnode",bindjsonnode); system.out.println(mapper.writevalueasstring(root)); }
3、streaming api:最佳性能。
对于性能要求高的程序,推荐使用流api,否则使用其他方法
不管是创建jsongenerator还是jsonparser,都是使用jsonfactory。
package com.jingshou.jackson; import java.io.file; import java.io.ioexception; import com.fasterxml.jackson.core.jsonencoding; import com.fasterxml.jackson.core.jsonfactory; import com.fasterxml.jackson.core.jsongenerator; import com.fasterxml.jackson.core.jsonparser; import com.fasterxml.jackson.core.jsontoken; public class jacksontest6 { public static void main(string[] args) throws ioexception { jsonfactory jfactory = new jsonfactory(); /*** write to file ***/ jsongenerator jgenerator = jfactory.creategenerator(new file( "c:\\user.json"), jsonencoding.utf8); jgenerator.writestartobject(); // { jgenerator.writestringfield("name", "mkyong"); // "name" : "mkyong" jgenerator.writenumberfield("age", 29); // "age" : 29 jgenerator.writefieldname("messages"); // "messages" : jgenerator.writestartarray(); // [ jgenerator.writestring("msg 1"); // "msg 1" jgenerator.writestring("msg 2"); // "msg 2" jgenerator.writestring("msg 3"); // "msg 3" jgenerator.writeendarray(); // ] jgenerator.writeendobject(); // } jgenerator.close(); /*** read from file ***/ jsonparser jparser = jfactory.createparser(new file("c:\\user.json")); // loop until token equal to "}" while (jparser.nexttoken() != jsontoken.end_object) { string fieldname = jparser.getcurrentname(); if ("name".equals(fieldname)) { // current token is "name", // move to next, which is "name"'s value jparser.nexttoken(); system.out.println(jparser.gettext()); // display mkyong } if ("age".equals(fieldname)) { // current token is "age", // move to next, which is "name"'s value jparser.nexttoken(); system.out.println(jparser.getintvalue()); // display 29 } if ("messages".equals(fieldname)) { jparser.nexttoken(); // current token is "[", move next // messages is array, loop until token equal to "]" while (jparser.nexttoken() != jsontoken.end_array) { // display msg1, msg2, msg3 system.out.println(jparser.gettext()); } } } jparser.close(); } }
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