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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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]
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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:
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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:
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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:
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/** 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:
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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。
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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。
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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(); } } |