反序列化回调接口实现分析
内部注册的反序列化
fastjson针对常用的类型已经注册了反序列化实现方案,根据源代码注册com.alibaba.fastjson.parser.ParserConfig#initDeserializers
可以得到列表:
注册的类型 | 反序列化实例 | 是否支持序列化 | 是否支持反序列化 |
---|---|---|---|
SimpleDateFormat | MiscCodec | 是 | 是 |
Timestamp | SqlDateDeserializer | - | 是 |
Date | SqlDateDeserializer | - | 是 |
Time | TimeDeserializer | - | 是 |
Date | DateCodec | 是 | 是 |
Calendar | CalendarCodec | 是 | 是 |
XMLGregorianCalendar | CalendarCodec | 是 | 是 |
JSONObject | MapDeserializer | - | 是 |
JSONArray | CollectionCodec | 是 | 是 |
Map | MapDeserializer | - | 是 |
HashMap | MapDeserializer | - | 是 |
LinkedHashMap | MapDeserializer | - | 是 |
TreeMap | MapDeserializer | - | 是 |
ConcurrentMap | MapDeserializer | - | 是 |
ConcurrentHashMap | MapDeserializer | - | 是 |
Collection | CollectionCodec | 是 | 是 |
List | CollectionCodec | 是 | 是 |
ArrayList | CollectionCodec | 是 | 是 |
Object | JavaObjectDeserializer | - | 是 |
String | StringCodec | 是 | 是 |
StringBuffer | StringCodec | 是 | 是 |
StringBuilder | StringCodec | 是 | 是 |
char | CharacterCodec | 是 | 是 |
Character | CharacterCodec | 是 | 是 |
byte | NumberDeserializer | - | 是 |
Byte | NumberDeserializer | - | 是 |
short | NumberDeserializer | - | 是 |
Short | NumberDeserializer | - | 是 |
int | IntegerCodec | 是 | 是 |
Integer | IntegerCodec | 是 | 是 |
long | LongCodec | 是 | 是 |
Long | LongCodec | 是 | 是 |
BigInteger | BigIntegerCodec | 是 | 是 |
BigDecimal | BigDecimalCodec | 是 | 是 |
float | FloatCodec | 是 | 是 |
Float | FloatCodec | 是 | 是 |
double | NumberDeserializer | 是 | 是 |
Double | NumberDeserializer | 是 | 是 |
boolean | BooleanCodec | 是 | 是 |
Boolean | BooleanCodec | 是 | 是 |
Class | MiscCodec | 是 | 是 |
char[] | CharArrayCodec | 是 | 是 |
AtomicBoolean | BooleanCodec | 是 | 是 |
AtomicBoolean | IntegerCodec | 是 | 是 |
AtomicLong | LongCodec | 是 | 是 |
AtomicReference | ReferenceCodec | 是 | 是 |
WeakReference | ReferenceCodec | 是 | 是 |
SoftReference | ReferenceCodec | 是 | 是 |
UUID | MiscCodec | 是 | 是 |
TimeZone | MiscCodec | 是 | 是 |
Locale | MiscCodec | 是 | 是 |
Currency | MiscCodec | 是 | 是 |
InetAddress | MiscCodec | 是 | 是 |
Inet4Address | MiscCodec | 是 | 是 |
Inet6Address | MiscCodec | 是 | 是 |
InetSocketAddress | MiscCodec | 是 | 是 |
File | MiscCodec | 是 | 是 |
URI | MiscCodec | 是 | 是 |
URL | MiscCodec | 是 | 是 |
Pattern | MiscCodec | 是 | 是 |
Charset | MiscCodec | 是 | 是 |
JSONPath | MiscCodec | 是 | 是 |
Number | NumberDeserializer | - | 是 |
AtomicIntegerArray | AtomicCodec | 是 | 是 |
AtomicLongArray | AtomicCodec | 是 | 是 |
StackTraceElement | StackTraceElementDeserializer | - | 是 |
Serializable | JavaObjectDeserializer | - | 是 |
Cloneable | JavaObjectDeserializer | - | 是 |
Comparable | JavaObjectDeserializer | - | 是 |
Closeable | JavaObjectDeserializer | - | 是 |
JSONPObject | JSONPDeserializer | - | 是 |
通过上面表格发现几乎把所有JDK常用的类型都注册了一遍,目的是在运行时能够查找到特定的反序列化实例而不需要使用默认Java的反序列化实例。
我们先从常见的类型开始分析反序列化实现。
BooleanCodec反序列化
public <T> T deserialze(DefaultJSONParser parser, Type clazz, Object fieldName) {
final JSONLexer lexer = parser.lexer;
Boolean boolObj;
try {
/** 遇到true类型的token,预读下一个token */
if (lexer.token() == JSONToken.TRUE) {
lexer.nextToken(JSONToken.COMMA);
boolObj = Boolean.TRUE;
/** 遇到false类型的token,预读下一个token */
} else if (lexer.token() == JSONToken.FALSE) {
lexer.nextToken(JSONToken.COMMA);
boolObj = Boolean.FALSE;
} else if (lexer.token() == JSONToken.LITERAL_INT) {
/** 遇到整数类型的token,预读下一个token */
int intValue = lexer.intValue();
lexer.nextToken(JSONToken.COMMA);
/** 1代表true,其他情况false */
if (intValue == 1) {
boolObj = Boolean.TRUE;
} else {
boolObj = Boolean.FALSE;
}
} else {
Object value = parser.parse();
if (value == null) {
return null;
}
/** 处理其他情况,比如Y,T代表true */
boolObj = TypeUtils.castToBoolean(value);
}
} catch (Exception ex) {
throw new JSONException("parseBoolean error, field : " + fieldName, ex);
}
/** 如果是原子类型 */
if (clazz == AtomicBoolean.class) {
return (T) new AtomicBoolean(boolObj.booleanValue());
}
return (T) boolObj;
}
每次反序列化拿到token是,当前记录的字符ch
变量实际是token结尾的下一个字符,boolean
类型字段会触发该接口。
CharacterCodec反序列化
public <T> T deserialze(DefaultJSONParser parser, Type clazz, Object fieldName) {
/** 根据token解析类型 */
Object value = parser.parse();
return value == null
? null
/** 转换成char类型,如果是string取字符串第一个char */
: (T) TypeUtils.castToChar(value);
}
public Object parse() {
return parse(null);
}
看着反序列化应该挺简单,但是内部解析值委托给了DefaultJSONParser#parse(java.lang.Object)
, 会把字符串解析取第一个字符处理:
public Object parse(Object fieldName) {
final JSONLexer lexer = this.lexer;
switch (lexer.token()) {
/**
* ...忽略其他类型token,后面遇到会讲解
* /
case LITERAL_STRING:
/** 探测到是字符串类型,解析值 */
String stringLiteral = lexer.stringVal();
lexer.nextToken(JSONToken.COMMA);
if (lexer.isEnabled(Feature.AllowISO8601DateFormat)) {
JSONScanner iso8601Lexer = new JSONScanner(stringLiteral);
try {
if (iso8601Lexer.scanISO8601DateIfMatch()) {
return iso8601Lexer.getCalendar().getTime();
}
} finally {
iso8601Lexer.close();
}
}
return stringLiteral;
/**
* ...忽略其他类型token,后面遇到会讲解
* /
}
}
IntegerCodec反序列化
public <T> T deserialze(DefaultJSONParser parser, Type clazz, Object fieldName) {
final JSONLexer lexer = parser.lexer;
final int token = lexer.token();
/** 如果解析到null值,返回null */
if (token == JSONToken.NULL) {
lexer.nextToken(JSONToken.COMMA);
return null;
}
Integer intObj;
try {
if (token == JSONToken.LITERAL_INT) {
/** 整型字面量,预读下一个token */
int val = lexer.intValue();
lexer.nextToken(JSONToken.COMMA);
intObj = Integer.valueOf(val);
} else if (token == JSONToken.LITERAL_FLOAT) {
/** 浮点数字面量,预读下一个token */
BigDecimal decimalValue = lexer.decimalValue();
lexer.nextToken(JSONToken.COMMA);
intObj = Integer.valueOf(decimalValue.intValue());
} else {
if (token == JSONToken.LBRACE) {
/** 处理历史原因反序列化AtomicInteger成map */
JSONObject jsonObject = new JSONObject(true);
parser.parseObject(jsonObject);
intObj = TypeUtils.castToInt(jsonObject);
} else {
/** 处理其他情况 */
Object value = parser.parse();
intObj = TypeUtils.castToInt(value);
}
}
} catch (Exception ex) {
throw new JSONException("parseInt error, field : " + fieldName, ex);
}
if (clazz == AtomicInteger.class) {
return (T) new AtomicInteger(intObj.intValue());
}
return (T) intObj;
}
针对特殊场景AutomicInteger类型,可以通过单元测试com.alibaba.json.bvt.parser.AtomicIntegerComptableAndroidTest#test_for_compatible_zero
进行动手实践调试:
public void test_for_compatible_zero() throws Exception {
String text = "{\"andIncrement\":-1,\"andDecrement\":0}";
assertEquals(0, JSON.parseObject(text, AtomicInteger.class).intValue());
}
继续对parseObject(jsonObject)
进行分析:
public Object parseObject(final Map object) {
return parseObject(object, null);
}
LongCodec反序列化
因为和整数反序列化极其类似,请参考IntegerCodec
不进行冗余分析。
FloatCodec反序列化
public static <T> T deserialze(DefaultJSONParser parser) {
final JSONLexer lexer = parser.lexer;
if (lexer.token() == JSONToken.LITERAL_INT) {
/** 整型字面量,预读下一个token */
String val = lexer.numberString();
lexer.nextToken(JSONToken.COMMA);
return (T) Float.valueOf(Float.parseFloat(val));
}
if (lexer.token() == JSONToken.LITERAL_FLOAT) {
/** 浮点数字面量,预读下一个token */
float val = lexer.floatValue();
lexer.nextToken(JSONToken.COMMA);
return (T) Float.valueOf(val);
}
/** 处理其他情况 */
Object value = parser.parse();
if (value == null) {
return null;
}
return (T) TypeUtils.castToFloat(value);
}
BigDecimalCodec反序列化
public static <T> T deserialze(DefaultJSONParser parser) {
final JSONLexer lexer = parser.lexer;
if (lexer.token() == JSONToken.LITERAL_INT) {
/** 整型字面量,预读下一个token */
BigDecimal decimalValue = lexer.decimalValue();
lexer.nextToken(JSONToken.COMMA);
return (T) decimalValue;
}
if (lexer.token() == JSONToken.LITERAL_FLOAT) {
/** 浮点数字面量,预读下一个token */
BigDecimal val = lexer.decimalValue();
lexer.nextToken(JSONToken.COMMA);
return (T) val;
}
Object value = parser.parse();
return value == null //
? null //
: (T) TypeUtils.castToBigDecimal(value);
}
StringCodec反序列化
public <T> T deserialze(DefaultJSONParser parser, Type clazz, Object fieldName) {
if (clazz == StringBuffer.class) {
/** 将解析的字符序列转换成StringBuffer */
final JSONLexer lexer = parser.lexer;
if (lexer.token() == JSONToken.LITERAL_STRING) {
/** 字符串字面量,预读下一个token */
String val = lexer.stringVal();
lexer.nextToken(JSONToken.COMMA);
return (T) new StringBuffer(val);
}
Object value = parser.parse();
if (value == null) {
return null;
}
return (T) new StringBuffer(value.toString());
}
if (clazz == StringBuilder.class) {
/** 将解析的字符序列转换成StringBuilder */
final JSONLexer lexer = parser.lexer;
if (lexer.token() == JSONToken.LITERAL_STRING) {
String val = lexer.stringVal();
/** 字符串字面量,预读下一个token */
lexer.nextToken(JSONToken.COMMA);
return (T) new StringBuilder(val);
}
Object value = parser.parse();
if (value == null) {
return null;
}
return (T) new StringBuilder(value.toString());
}
return (T) deserialze(parser);
}
@SuppressWarnings("unchecked")
public static <T> T deserialze(DefaultJSONParser parser) {
final JSONLexer lexer = parser.getLexer();
if (lexer.token() == JSONToken.LITERAL_STRING) {
/** 字符串字面量,预读下一个token */
String val = lexer.stringVal();
lexer.nextToken(JSONToken.COMMA);
return (T) val;
}
if (lexer.token() == JSONToken.LITERAL_INT) {
/** 整型字面量,预读下一个token */
String val = lexer.numberString();
lexer.nextToken(JSONToken.COMMA);
return (T) val;
}
Object value = parser.parse();
if (value == null) {
return null;
}
return (T) value.toString();
}
ObjectArrayCodec反序列化
public <T> T deserialze(DefaultJSONParser parser, Type type, Object fieldName) {
final JSONLexer lexer = parser.lexer;
int token = lexer.token();
if (token == JSONToken.NULL) {
/** 解析到Null,预读下一个token */
lexer.nextToken(JSONToken.COMMA);
return null;
}
if (token == JSONToken.LITERAL_STRING || token == JSONToken.HEX) {
byte[] bytes = lexer.bytesValue();
lexer.nextToken(JSONToken.COMMA);
if (bytes.length == 0 && type != byte[].class) {
return null;
}
return (T) bytes;
}
Class componentClass;
Type componentType;
if (type instanceof GenericArrayType) {
GenericArrayType clazz = (GenericArrayType) type;
/** 获取泛型数组真实参数类型 */
componentType = clazz.getGenericComponentType();
if (componentType instanceof TypeVariable) {
TypeVariable typeVar = (TypeVariable) componentType;
Type objType = parser.getContext().type;
if (objType instanceof ParameterizedType) {
/** 获取泛型参数化类型,eg: Collection<String> */
ParameterizedType objParamType = (ParameterizedType) objType;
Type objRawType = objParamType.getRawType();
Type actualType = null;
if (objRawType instanceof Class) {
/** 遍历Class包含的参数化类型,查找与泛型数组类型名字一致的作为真实类型 */
TypeVariable[] objTypeParams = ((Class) objRawType).getTypeParameters();
for (int i = 0; i < objTypeParams.length; ++i) {
if (objTypeParams[i].getName().equals(typeVar.getName())) {
actualType = objParamType.getActualTypeArguments()[i];
}
}
}
if (actualType instanceof Class) {
componentClass = (Class) actualType;
} else {
componentClass = Object.class;
}
} else {
// 获取数组类型上界
componentClass = TypeUtils.getClass(typeVar.getBounds()[0]);
}
} else {
componentClass = TypeUtils.getClass(componentType);
}
} else {
/** 非泛型数组,普通对象数组 */
Class clazz = (Class) type;
componentType = componentClass = clazz.getComponentType();
}
JSONArray array = new JSONArray();
/** 根据token解析数组元素放到array中 */
parser.parseArray(componentType, array, fieldName);
return (T) toObjectArray(parser, componentClass, array);
}
JavaBeanDeserializer反序列化
为了节省冗余的分析,我们主要分析最复杂的默认JavaBeanDeserializer
反序列化实现。
public JavaBeanDeserializer(ParserConfig config, JavaBeanInfo beanInfo){
/** java对象类名称 */
this.clazz = beanInfo.clazz;
this.beanInfo = beanInfo;
Map<String, FieldDeserializer> alterNameFieldDeserializers = null;
sortedFieldDeserializers = new FieldDeserializer[beanInfo.sortedFields.length];
/**
* 给已排序的字段创建反序列化实例,如果字段有别名,
* 关联别名到反序列化的映射
*/
for (int i = 0, size = beanInfo.sortedFields.length; i < size; ++i) {
FieldInfo fieldInfo = beanInfo.sortedFields[i];
FieldDeserializer fieldDeserializer = config.createFieldDeserializer(config, beanInfo, fieldInfo);
sortedFieldDeserializers[i] = fieldDeserializer;
for (String name : fieldInfo.alternateNames) {
if (alterNameFieldDeserializers == null) {
alterNameFieldDeserializers = new HashMap<String, FieldDeserializer>();
}
alterNameFieldDeserializers.put(name, fieldDeserializer);
}
}
this.alterNameFieldDeserializers = alterNameFieldDeserializers;
fieldDeserializers = new FieldDeserializer[beanInfo.fields.length];
for (int i = 0, size = beanInfo.fields.length; i < size; ++i) {
FieldInfo fieldInfo = beanInfo.fields[i];
/** 采用二分法在sortedFieldDeserializers中查找已创建的反序列化类型 */
FieldDeserializer fieldDeserializer = getFieldDeserializer(fieldInfo.name);
fieldDeserializers[i] = fieldDeserializer;
}
}
构造函数就是简单构造类字段对应的反序列化实例而已,接下来看下关键实现:
protected <T> T deserialze(DefaultJSONParser parser,
Type type,
Object fieldName,
Object object,
int features,
int[] setFlags) {
if (type == JSON.class || type == JSONObject.class) {
/** 根据当前token类型判断解析对象 */
return (T) parser.parse();
}
final JSONLexerBase lexer = (JSONLexerBase) parser.lexer;
final ParserConfig config = parser.getConfig();
int token = lexer.token();
if (token == JSONToken.NULL) {
/** 解析null,预读下一个token并返回 */
lexer.nextToken(JSONToken.COMMA);
return null;
}
ParseContext context = parser.getContext();
if (object != null && context != null) {
context = context.parent;
}
ParseContext childContext = null;
try {
Map<String, Object> fieldValues = null;
if (token == JSONToken.RBRACE) {
lexer.nextToken(JSONToken.COMMA);
/** 遇到}认为遇到对象结束,尝试创建实例对象 */
if (object == null) {
object = createInstance(parser, type);
}
return (T) object;
}
if (token == JSONToken.LBRACKET) {
final int mask = Feature.SupportArrayToBean.mask;
boolean isSupportArrayToBean = (beanInfo.parserFeatures & mask) != 0
|| lexer.isEnabled(Feature.SupportArrayToBean)
|| (features & mask) != 0
;
if (isSupportArrayToBean) {
/** 将数组值反序列化为对象,根据sortedFieldDeserializers依次写字段值 */
return deserialzeArrayMapping(parser, type, fieldName, object);
}
}
if (token != JSONToken.LBRACE && token != JSONToken.COMMA) {
if (lexer.isBlankInput()) {
return null;
}
if (token == JSONToken.LITERAL_STRING) {
String strVal = lexer.stringVal();
/** 读到空值字符串,返回null */
if (strVal.length() == 0) {
lexer.nextToken();
return null;
}
if (beanInfo.jsonType != null) {
/** 探测是否是枚举类型 */
for (Class<?> seeAlsoClass : beanInfo.jsonType.seeAlso()) {
if (Enum.class.isAssignableFrom(seeAlsoClass)) {
try {
Enum<?> e = Enum.valueOf((Class<Enum>) seeAlsoClass, strVal);
return (T) e;
} catch (IllegalArgumentException e) {
// skip
}
}
}
}
} else if (token == JSONToken.LITERAL_ISO8601_DATE) {
Calendar calendar = lexer.getCalendar();
}
if (token == JSONToken.LBRACKET && lexer.getCurrent() == ']') {
/** 包含零元素的数组 */
lexer.next();
lexer.nextToken();
return null;
}
StringBuffer buf = (new StringBuffer()) //
.append("syntax error, expect {, actual ") //
.append(lexer.tokenName()) //
.append(", pos ") //
.append(lexer.pos());
if (fieldName instanceof String) {
buf //
.append(", fieldName ") //
.append(fieldName);
}
buf.append(", fastjson-version ").append(JSON.VERSION);
throw new JSONException(buf.toString());
}
if (parser.resolveStatus == DefaultJSONParser.TypeNameRedirect) {
parser.resolveStatus = DefaultJSONParser.NONE;
}
String typeKey = beanInfo.typeKey;
for (int fieldIndex = 0;; fieldIndex++) {
String key = null;
FieldDeserializer fieldDeser = null;
FieldInfo fieldInfo = null;
Class<?> fieldClass = null;
JSONField feildAnnotation = null;
/** 检查是否所有字段都已经处理 */
if (fieldIndex < sortedFieldDeserializers.length) {
fieldDeser = sortedFieldDeserializers[fieldIndex];
fieldInfo = fieldDeser.fieldInfo;
fieldClass = fieldInfo.fieldClass;
feildAnnotation = fieldInfo.getAnnotation();
}
boolean matchField = false;
boolean valueParsed = false;
Object fieldValue = null;
if (fieldDeser != null) {
char[] name_chars = fieldInfo.name_chars;
if (fieldClass == int.class || fieldClass == Integer.class) {
/** 扫描整数值 */
fieldValue = lexer.scanFieldInt(name_chars);
if (lexer.matchStat > 0) {
matchField = true;
valueParsed = true;
} else if (lexer.matchStat == JSONLexer.NOT_MATCH_NAME) {
continue;
}
} else if (fieldClass == long.class || fieldClass == Long.class) {
/** 扫描长整型值 */
fieldValue = lexer.scanFieldLong(name_chars);
if (lexer.matchStat > 0) {
matchField = true;
valueParsed = true;
} else if (lexer.matchStat == JSONLexer.NOT_MATCH_NAME) {
continue;
}
} else if (fieldClass == String.class) {
/** 扫描字符串值 */
fieldValue = lexer.scanFieldString(name_chars);
if (lexer.matchStat > 0) {
matchField = true;
valueParsed = true;
} else if (lexer.matchStat == JSONLexer.NOT_MATCH_NAME) {
continue;
}
} else if (fieldClass == java.util.Date.class && fieldInfo.format == null) {
/** 扫描日期值 */
fieldValue = lexer.scanFieldDate(name_chars);
if (lexer.matchStat > 0) {
matchField = true;
valueParsed = true;
} else if (lexer.matchStat == JSONLexer.NOT_MATCH_NAME) {
continue;
}
} else if (fieldClass == BigDecimal.class) {
/** 扫描高精度值 */
fieldValue = lexer.scanFieldDecimal(name_chars);
if (lexer.matchStat > 0) {
matchField = true;
valueParsed = true;
} else if (lexer.matchStat == JSONLexer.NOT_MATCH_NAME) {
continue;
}
} else if (fieldClass == BigInteger.class) {
fieldValue = lexer.scanFieldBigInteger(name_chars);
if (lexer.matchStat > 0) {
matchField = true;
valueParsed = true;
} else if (lexer.matchStat == JSONLexer.NOT_MATCH_NAME) {
continue;
}
} else if (fieldClass == boolean.class || fieldClass == Boolean.class) {
/** 扫描boolean值 */
fieldValue = lexer.scanFieldBoolean(name_chars);
if (lexer.matchStat > 0) {
matchField = true;
valueParsed = true;
} else if (lexer.matchStat == JSONLexer.NOT_MATCH_NAME) {
continue;
}
} else if (fieldClass == float.class || fieldClass == Float.class) {
/** 扫描浮点值 */
fieldValue = lexer.scanFieldFloat(name_chars);
if (lexer.matchStat > 0) {
matchField = true;
valueParsed = true;
} else if (lexer.matchStat == JSONLexer.NOT_MATCH_NAME) {
continue;
}
} else if (fieldClass == double.class || fieldClass == Double.class) {
/** 扫描double值 */
fieldValue = lexer.scanFieldDouble(name_chars);
if (lexer.matchStat > 0) {
matchField = true;
valueParsed = true;
} else if (lexer.matchStat == JSONLexer.NOT_MATCH_NAME) {
continue;
}
} else if (fieldClass.isEnum()
&& parser.getConfig().getDeserializer(fieldClass) instanceof EnumDeserializer
&& (feildAnnotation == null || feildAnnotation.deserializeUsing() == Void.class)
) {
if (fieldDeser instanceof DefaultFieldDeserializer) {
ObjectDeserializer fieldValueDeserilizer = ((DefaultFieldDeserializer) fieldDeser).fieldValueDeserilizer;
fieldValue = this.scanEnum(lexer, name_chars, fieldValueDeserilizer);
if (lexer.matchStat > 0) {
matchField = true;
valueParsed = true;
} else if (lexer.matchStat == JSONLexer.NOT_MATCH_NAME) {
continue;
}
}
} else if (fieldClass == int[].class) {
/** 扫描整型数组值 */
fieldValue = lexer.scanFieldIntArray(name_chars);
if (lexer.matchStat > 0) {
matchField = true;
valueParsed = true;
} else if (lexer.matchStat == JSONLexer.NOT_MATCH_NAME) {
continue;
}
} else if (fieldClass == float[].class) {
fieldValue = lexer.scanFieldFloatArray(name_chars);
if (lexer.matchStat > 0) {
matchField = true;
valueParsed = true;
} else if (lexer.matchStat == JSONLexer.NOT_MATCH_NAME) {
continue;
}
} else if (fieldClass == float[][].class) {
/** 扫描浮点数组值 */
fieldValue = lexer.scanFieldFloatArray2(name_chars);
if (lexer.matchStat > 0) {
matchField = true;
valueParsed = true;
} else if (lexer.matchStat == JSONLexer.NOT_MATCH_NAME) {
continue;
}
} else if (lexer.matchField(name_chars)) {
matchField = true;
} else {
continue;
}
}
/** 如果当前字符串的json不匹配当前字段名称 */
if (!matchField) {
/** 将当前的字段名称加入符号表 */
key = lexer.scanSymbol(parser.symbolTable);
/** 当前是无效的字段标识符,比如是,等符号 */
if (key == null) {
token = lexer.token();
if (token == JSONToken.RBRACE) {
/** 结束花括号, 预读下一个token */
lexer.nextToken(JSONToken.COMMA);
break;
}
if (token == JSONToken.COMMA) {
if (lexer.isEnabled(Feature.AllowArbitraryCommas)) {
continue;
}
}
}
if ("$ref" == key && context != null) {
lexer.nextTokenWithColon(JSONToken.LITERAL_STRING);
token = lexer.token();
if (token == JSONToken.LITERAL_STRING) {
String ref = lexer.stringVal();
if ("@".equals(ref)) {
object = context.object;
} else if ("..".equals(ref)) {
ParseContext parentContext = context.parent;
if (parentContext.object != null) {
object = parentContext.object;
} else {
parser.addResolveTask(new ResolveTask(parentContext, ref));
parser.resolveStatus = DefaultJSONParser.NeedToResolve;
}
} else if ("$".equals(ref)) {
ParseContext rootContext = context;
while (rootContext.parent != null) {
rootContext = rootContext.parent;
}
if (rootContext.object != null) {
object = rootContext.object;
} else {
parser.addResolveTask(new ResolveTask(rootContext, ref));
parser.resolveStatus = DefaultJSONParser.NeedToResolve;
}
} else {
Object refObj = parser.resolveReference(ref);
if (refObj != null) {
object = refObj;
} else {
parser.addResolveTask(new ResolveTask(context, ref));
parser.resolveStatus = DefaultJSONParser.NeedToResolve;
}
}
} else {
throw new JSONException("illegal ref, " + JSONToken.name(token));
}
lexer.nextToken(JSONToken.RBRACE);
if (lexer.token() != JSONToken.RBRACE) {
throw new JSONException("illegal ref");
}
lexer.nextToken(JSONToken.COMMA);
parser.setContext(context, object, fieldName);
return (T) object;
}
if ((typeKey != null && typeKey.equals(key))
|| JSON.DEFAULT_TYPE_KEY == key) {
lexer.nextTokenWithColon(JSONToken.LITERAL_STRING);
if (lexer.token() == JSONToken.LITERAL_STRING) {
String typeName = lexer.stringVal();
lexer.nextToken(JSONToken.COMMA);
/** 忽略字符串中包含@type解析 */
if (typeName.equals(beanInfo.typeName)|| parser.isEnabled(Feature.IgnoreAutoType)) {
if (lexer.token() == JSONToken.RBRACE) {
lexer.nextToken();
break;
}
continue;
}
/** 根据枚举seeAlso查找反序列化实例 */
ObjectDeserializer deserializer = getSeeAlso(config, this.beanInfo, typeName);
Class<?> userType = null;
if (deserializer == null) {
/** 无法匹配,查找类对应的泛型或者参数化类型关联的反序列化实例 */
Class<?> expectClass = TypeUtils.getClass(type);
userType = config.checkAutoType(typeName, expectClass, lexer.getFeatures());
deserializer = parser.getConfig().getDeserializer(userType);
}
Object typedObject = deserializer.deserialze(parser, userType, fieldName);
if (deserializer instanceof JavaBeanDeserializer) {
JavaBeanDeserializer javaBeanDeserializer = (JavaBeanDeserializer) deserializer;
if (typeKey != null) {
FieldDeserializer typeKeyFieldDeser = javaBeanDeserializer.getFieldDeserializer(typeKey);
typeKeyFieldDeser.setValue(typedObject, typeName);
}
}
return (T) typedObject;
} else {
throw new JSONException("syntax error");
}
}
}
/** 第一次创建并初始化对象实例 */
if (object == null && fieldValues == null) {
object = createInstance(parser, type);
if (object == null) {
fieldValues = new HashMap<String, Object>(this.fieldDeserializers.length);
}
childContext = parser.setContext(context, object, fieldName);
if (setFlags == null) {
setFlags = new int[(this.fieldDeserializers.length / 32) + 1];
}
}
if (matchField) {
if (!valueParsed) {
/** json串当前满足字段名称,并且没有解析过值 ,
* 直接使用当前字段关联的反序列化实例解析
*/
fieldDeser.parseField(parser, object, type, fieldValues);
} else {
if (object == null) {
/** 值已经解析过了,存储到map中 */
fieldValues.put(fieldInfo.name, fieldValue);
} else if (fieldValue == null) {
/** 字段值是null,排除int,long,float,double,boolean */
if (fieldClass != int.class
&& fieldClass != long.class
&& fieldClass != float.class
&& fieldClass != double.class
&& fieldClass != boolean.class
) {
fieldDeser.setValue(object, fieldValue);
}
} else {
fieldDeser.setValue(object, fieldValue);
}
if (setFlags != null) {
int flagIndex = fieldIndex / 32;
int bitIndex = fieldIndex % 32;
setFlags[flagIndex] |= (1 >> bitIndex);
}
if (lexer.matchStat == JSONLexer.END) {
break;
}
}
} else {
/** 字段名称当前和json串不匹配,通常顺序或者字段增加或者缺少,
* 根据key查找反序列化实例解析
*/
boolean match = parseField(parser, key, object, type, fieldValues, setFlags);
if (!match) {
/** 遇到封闭花括号,与读下一个token,跳出循环 */
if (lexer.token() == JSONToken.RBRACE) {
lexer.nextToken();
break;
}
continue;
} else if (lexer.token() == JSONToken.COLON) {
throw new JSONException("syntax error, unexpect token ':'");
}
}
if (lexer.token() == JSONToken.COMMA) {
continue;
}
if (lexer.token() == JSONToken.RBRACE) {
lexer.nextToken(JSONToken.COMMA);
break;
}
if (lexer.token() == JSONToken.IDENTIFIER || lexer.token() == JSONToken.ERROR) {
throw new JSONException("syntax error, unexpect token " + JSONToken.name(lexer.token()));
}
}
if (object == null) {
if (fieldValues == null) {
/** 第一次创建并初始化对象实例 */
object = createInstance(parser, type);
if (childContext == null) {
childContext = parser.setContext(context, object, fieldName);
}
return (T) object;
}
/** 提取构造函数参数名称 */
String[] paramNames = beanInfo.creatorConstructorParameters;
final Object[] params;
if (paramNames != null) {
params = new Object[paramNames.length];
for (int i = 0; i < paramNames.length; i++) {
String paramName = paramNames[i];
Object param = fieldValues.remove(paramName);
/** 解析过的字段不包含当前参数名字 */
if (param == null) {
Type fieldType = beanInfo.creatorConstructorParameterTypes[i];
FieldInfo fieldInfo = beanInfo.fields[i];
/** 探测并设置类型默认值 */
if (fieldType == byte.class) {
param = (byte) 0;
} else if (fieldType == short.class) {
param = (short) 0;
} else if (fieldType == int.class) {
param = 0;
} else if (fieldType == long.class) {
param = 0L;
} else if (fieldType == float.class) {
param = 0F;
} else if (fieldType == double.class) {
param = 0D;
} else if (fieldType == boolean.class) {
param = Boolean.FALSE;
} else if (fieldType == String.class
&& (fieldInfo.parserFeatures & Feature.InitStringFieldAsEmpty.mask) != 0) {
param = "";
}
}
params[i] = param;
}
} else {
/** 根据字段探测并初始化构造函数参数默认值 */
FieldInfo[] fieldInfoList = beanInfo.fields;
int size = fieldInfoList.length;
params = new Object[size];
for (int i = 0; i < size; ++i) {
FieldInfo fieldInfo = fieldInfoList[i];
Object param = fieldValues.get(fieldInfo.name);
if (param == null) {
Type fieldType = fieldInfo.fieldType;
if (fieldType == byte.class) {
param = (byte) 0;
} else if (fieldType == short.class) {
param = (short) 0;
} else if (fieldType == int.class) {
param = 0;
} else if (fieldType == long.class) {
param = 0L;
} else if (fieldType == float.class) {
param = 0F;
} else if (fieldType == double.class) {
param = 0D;
} else if (fieldType == boolean.class) {
param = Boolean.FALSE;
} else if (fieldType == String.class
&& (fieldInfo.parserFeatures & Feature.InitStringFieldAsEmpty.mask) != 0) {
param = "";
}
}
params[i] = param;
}
}
if (beanInfo.creatorConstructor != null) {
try {
object = beanInfo.creatorConstructor.newInstance(params);
} catch (Exception e) {
throw new JSONException("create instance error, " + paramNames + ", "
+ beanInfo.creatorConstructor.toGenericString(), e);
}
if (paramNames != null) {
/** 剩余字段查找反序列化器set值 */
for (Map.Entry<String, Object> entry : fieldValues.entrySet()) {
FieldDeserializer fieldDeserializer = getFieldDeserializer(entry.getKey());
if (fieldDeserializer != null) {
fieldDeserializer.setValue(object, entry.getValue());
}
}
}
} else if (beanInfo.factoryMethod != null) {
try {
object = beanInfo.factoryMethod.invoke(null, params);
} catch (Exception e) {
throw new JSONException("create factory method error, " + beanInfo.factoryMethod.toString(), e);
}
}
childContext.object = object;
}
/** 检查是否扩展后置方法buildMethod,如果有进行调用 */
Method buildMethod = beanInfo.buildMethod;
if (buildMethod == null) {
return (T) object;
}
Object builtObj;
try {
builtObj = buildMethod.invoke(object);
} catch (Exception e) {
throw new JSONException("build object error", e);
}
return (T) builtObj;
} finally {
if (childContext != null) {
childContext.object = object;
}
parser.setContext(context);
}
}
这段代码实在又臭又长,实际做的事情如下:
- 根据类所有的字段,字段类型进行json串进行匹配,首先检查json串的值是否和当前字段名称相等,如果相等认为匹配成功,会创建实例对象并且把解析字段值set进去。
- 如果当前json串顺序和java对象字段不一致怎么办,这个时候我字段又全部遍历完了,fastjson会自动把当前解析的字段名称加入符号表中,然后查找字段名称对应的反序列化实例进行set值操作
- 当前实现提供了解析对象后buildMethod扩展点,如果提供了会进行回调然后返回
值得一提的是构造函数处理:
public Object createInstance(DefaultJSONParser parser, Type type) {
if (type instanceof Class) {
if (clazz.isInterface()) {
/** 针对反序列化时接口类型的,通过jdk冬天代理拦截put和get等操作,
* 进行set或者put值的操作值会存储在jsonobject内部的map结构
*/
Class<?> clazz = (Class<?>) type;
ClassLoader loader = Thread.currentThread().getContextClassLoader();
final JSONObject obj = new JSONObject();
Object proxy = Proxy.newProxyInstance(loader, new Class<?>[] { clazz }, obj);
return proxy;
}
}
/** 忽略没有默认构造函数和没有创建对象的工厂方法 */
if (beanInfo.defaultConstructor == null && beanInfo.factoryMethod == null) {
return null;
}
/** 忽略同时存在显示构造函数和创建对象的工厂方法的场景 */
if (beanInfo.factoryMethod != null && beanInfo.defaultConstructorParameterSize > 0) {
return null;
}
Object object;
try {
Constructor<?> constructor = beanInfo.defaultConstructor;
/** 存在默认无参构造函数 */
if (beanInfo.defaultConstructorParameterSize == 0) {
if (constructor != null) {
object = constructor.newInstance();
} else {
/** 否则使用工厂方法生成对象 */
object = beanInfo.factoryMethod.invoke(null);
}
} else {
ParseContext context = parser.getContext();
if (context == null || context.object == null) {
throw new JSONException("can't create non-static inner class instance.");
}
final String typeName;
if (type instanceof Class) {
typeName = ((Class<?>) type).getName();
} else {
throw new JSONException("can't create non-static inner class instance.");
}
final int lastIndex = typeName.lastIndexOf('$');
String parentClassName = typeName.substring(0, lastIndex);
Object ctxObj = context.object;
String parentName = ctxObj.getClass().getName();
Object param = null;
if (!parentName.equals(parentClassName)) {
/** 处理继承过来的类 */
ParseContext parentContext = context.parent;
if (parentContext != null
&& parentContext.object != null
&& ("java.util.ArrayList".equals(parentName)
|| "java.util.List".equals(parentName)
|| "java.util.Collection".equals(parentName)
|| "java.util.Map".equals(parentName)
|| "java.util.HashMap".equals(parentName))) {
parentName = parentContext.object.getClass().getName();
if (parentName.equals(parentClassName)) {
param = parentContext.object;
}
}
} else {
/** 处理非静态内部类场景,
* 编译器会自动修改内部类构造函数,添加外层类实例对象作为参数,
* ctxObj就是外层实例对象
*/
param = ctxObj;
}
if (param == null) {
throw new JSONException("can't create non-static inner class instance.");
}
object = constructor.newInstance(param);
}
} catch (JSONException e) {
throw e;
} catch (Exception e) {
throw new JSONException("create instance error, class " + clazz.getName(), e);
}
/** 开启InitStringFieldAsEmpty特性,会把字符串字段初始化为空串 */
if (parser != null
&& parser.lexer.isEnabled(Feature.InitStringFieldAsEmpty)) {
for (FieldInfo fieldInfo : beanInfo.fields) {
if (fieldInfo.fieldClass == String.class) {
try {
fieldInfo.set(object, "");
} catch (Exception e) {
throw new JSONException("create instance error, class " + clazz.getName(), e);
}
}
}
}
return object;
}
编译器会为非静态内部类构造函数添加外层的实例对象作为第一个参数,所以在生成实例化对象的时候会从上下文中获取外层对象进行反射创建对象constructor.newInstance(param)
。
为了更容易理解这段逻辑,提供一下单元测试可以调试:
com.alibaba.json.bvt.parser.deser.InnerClassDeser2#test_for_inner_class
com.alibaba.json.bvt.parser.deser.InnerClassDeser3#test_for_inner_class
com.alibaba.json.bvt.parser.deser.InnerClassDeser4#test_for_inner_class