关于fastjson:Fastjson2基础使用以及底层序列化反序列化实现探究

1 Fastjson2 简介

Fastjson2是 Fastjson 的升级版，特色：

• 协定反对：反对 JSON/JSONB 两种协定
• 局部解析：能够应用 JSONPath 进行局部解析获取须要的值
• 语言反对：Java/Kotlin
• 场景反对：Android8+/ 服务端
• 其余个性反对：Graal Native-Image、JSON Schema

2 根底应用

2.1 测试环境

环境：

• JDK版本：1.8.0_341
• Fastjson2版本：2.0.19

测试类：

@Builder
@Data
@ToString
public class Entity {
    private String field1;
    private Integer field2;
}

2.2 JSON序列化

System.out.println(JSON.toJSONString(entity));

2.3 JSON反序列化

System.out.println(JSON.parseObject(str,Entity.class));

2.4 JSONB序列化

byte[] bytes = JSONB.toBytes(entity);

2.5 JSONB反序列化

System.out.println(JSONB.parseObject(bytes,Entity.class));

2.6 JSON Schema

JSON Schema可用于反序列化时对 JSON 字段进行验证应用，配置 Schema 能够通过 @JSONField/@JSONType，这里以@JSONField 为例：

public class Entity {
    private String field1;
    @JSONField(schema = "{'minimum':0,'maximum':100}")
    private Integer field2;
}

测试代码：

Entity entity1 = Entity.builder().field2(-1).build();
Entity entity2 = Entity.builder().field2(50).build();
Entity entity3 = Entity.builder().field2(101).build();

String str1 = JSON.toJSONString(entity1);
String str2 = JSON.toJSONString(entity2);
String str3 = JSON.toJSONString(entity3);

try {JSON.parseObject(str1, Entity.class);
} catch (Exception e) {e.printStackTrace();
}

JSON.parseObject(str2, Entity.class);

try {JSON.parseObject(str3, Entity.class);
} catch (Exception e) {e.printStackTrace();
}

输入：

2.7 JSONPath

JSONPath可用于局部解析 JSON 字符串，示例：

Entity entity = Entity.builder().field1("a").field2(2).build();
// $ 符号示意根对象
// $.field1 示意根对象的 field1 属性
System.out.println(JSONPath.eval(entity,"$.field1"));
System.out.println(JSONPath.eval(entity,"$.field2"));

List<Entity> list = new ArrayList<>();
list.add(Entity.builder().field1("entity1").field2(1).build());
list.add(Entity.builder().field1("entity2").field2(2).build());
// 如果传的是 List，反对通过下标解析
// 此处是返回 [0,0] 下标范畴内的值
List<Entity> names = (List<Entity>)JSONPath.eval(list,"[0,0]");
System.out.println(names.get(0));

具体的解析语法以及更多例子请参考官网文档。

2.8 AutoType

AutoType是在序列化的时候带上类型的一种机制，这样在反序列化时就不须要传入类型，实现类型自动识别，例子：

Entity entity = Entity.builder().field1("a").field2(2).build();
String str = JSON.toJSONString(entity, JSONWriter.Feature.WriteClassName);
System.out.println(str);
System.out.println(JSON.parseObject(str, Object.class, JSONReader.Feature.SupportAutoType));

输入：

因为在 Fastjson1 中呈现过 AutoType 破绽，因而官网提供了一个 JVM 参数齐全禁止（safeMode性能）：

-Dfastjson2.parser.safeMode=true

3 底层实现探索

3.1 序列化

3.1.1 概览

序列化的实现能够参考官网的一张类图：

大略流程如下：

• 获取ObjectWriter
• 如果从 ObjectWriterProvider 缓存有ObjectWriter，间接提取
• 如果 ObjectWriterProvider 缓存没有ObjectWriter，结构对应的ObjectWriter，并缓存
• 获取到 ObjectWriter 后，将 JavaBean 对象写入JSONWriter
• JSONWriter对根底类型进行写入
• 返回后果

3.1.2 入口

这里的序列化探索以 JSON.toJSONString(Object object) 作为入口：

static String toJSONString(Object object) {
    // 初始化 ObjectWriterProvider
    JSONWriter.Context writeContext = new JSONWriter.Context(JSONFactory.defaultObjectWriterProvider);
    // 格式化管制
    boolean pretty = (writeContext.features & com.alibaba.fastjson2.JSONWriter.Feature.PrettyFormat.mask) != 0L;
    Object jsonWriter;
    // 默认有三个 JSONWriter，JDK8 一个，针对 JDK9 之后的 byte[]实现的字符串优化也有一个，还有一个基于 char[]实现的 UTF16
    if (JDKUtils.JVM_VERSION == 8) {jsonWriter = new JSONWriterUTF16JDK8(writeContext);
    } else if ((writeContext.features & com.alibaba.fastjson2.JSONWriter.Feature.OptimizedForAscii.mask) != 0L) {jsonWriter = new JSONWriterUTF8JDK9(writeContext);
    } else {jsonWriter = new JSONWriterUTF16(writeContext);
    }

    try {
        // 格式化管制
        JSONWriter writer = pretty ? new JSONWriterPretty((JSONWriter)jsonWriter) : jsonWriter;

        String var12;
        try {if (object == null) {
                // null 的话间接写入 "null" 字符串
                ((JSONWriter)writer).writeNull();} else {
                // 设置根对象
                ((JSONWriter)writer).setRootObject(object);
                Class<?> valueClass = object.getClass();
                if (valueClass == JSONObject.class) {
                    // 如果指标类是 JSNOObject，间接调用 writer 的 write 办法
                    ((JSONWriter)writer).write((JSONObject)object);
                } else {
                    // 如果不是
                    JSONWriter.Context context = ((JSONWriter)writer).context;
                    boolean fieldBased = (context.features & com.alibaba.fastjson2.JSONWriter.Feature.FieldBased.mask) != 0L;
                    // 通过 Provider 获取 ObjectWriter
                    ObjectWriter<?> objectWriter = context.provider.getObjectWriter(valueClass, valueClass, fieldBased);
                    // ObjectWriter 将数据写入 JSONWriter
                    objectWriter.write((JSONWriter)writer, object, (Object)null, (Type)null, 0L);
                }
            }
            // 后果
            var12 = writer.toString();
            // 上面的代码与序列化关系不大，能够不看
        } catch (Throwable var10) {if (writer != null) {
                try {((JSONWriter)writer).close();} catch (Throwable var9) {var10.addSuppressed(var9);
                }
            }

            throw var10;
        }

        if (writer != null) {((JSONWriter)writer).close();}

        return var12;
    } catch (NumberFormatException | NullPointerException var11) {throw new JSONException("JSON#toJSONString cannot serialize'" + object + "'", var11);
    }
}

3.1.3 获取ObjectWriterProvider

JSON.toJSONString()入口：

JSONWriter.Context writeContext = new JSONWriter.Context(JSONFactory.defaultObjectWriterProvider);

其中会调用默认的构造方法初始化ObjectWriterProvider：

public ObjectWriterProvider() {this.init();
    ObjectWriterCreator creator = null;
    switch (JSONFactory.CREATOR) {
        case "reflect":
            creator = ObjectWriterCreator.INSTANCE;
            break;
        case "lambda":
            creator = ObjectWriterCreatorLambda.INSTANCE;
            break;
        case "asm":
        default:
            try {creator = ObjectWriterCreatorASM.INSTANCE;} catch (Throwable var5) { }

            if (creator == null) {creator = ObjectWriterCreatorLambda.INSTANCE;}
    }

    this.creator = (ObjectWriterCreator)creator;
}

ObjectWriterCreator采取的是单例模式，默认采纳 ASM 动静字节码实现。

3.1.4 获取ObjectWriter

有了 ObjectWriterProvider 后，下一步就是获取 ObjectWriter，也就是JSON.toJSONString() 中的：

JSONWriter.Context context = ((JSONWriter)writer).context;
boolean fieldBased = (context.features & com.alibaba.fastjson2.JSONWriter.Feature.FieldBased.mask) != 0L;
ObjectWriter<?> objectWriter = context.provider.getObjectWriter(valueClass, valueClass, fieldBased);

getObjectWriter()如下：

public ObjectWriter getObjectWriter(Type objectType, Class objectClass, boolean fieldBased) {
    // fieldBased 是基于字段序列化的意思
    // false 的话示意基于 getter 序列化
    // 依据不同的类型从不同的缓存 map 中获取
    ObjectWriter objectWriter = fieldBased ? (ObjectWriter)this.cacheFieldBased.get(objectType) : (ObjectWriter)this.cache.get(objectType);
    // 首次获取应该为 null
    if (objectWriter != null) {return (ObjectWriter)objectWriter;
    } else {
        // 这个 useModules 布尔变量笔者不太理解
        // 这里的逻辑是 基于字段反序列化 并且 指标 class 不为空 并且 指标 class 能够赋值给 Iterable 并且 指标 class 不能赋值给 class
        boolean useModules = true;
        if (fieldBased && objectClass != null && Iterable.class.isAssignableFrom(objectClass) && !Collection.class.isAssignableFrom(objectClass)) {useModules = false;}
        
        // 这里的例子是 true
        if (useModules) {for(int i = 0; i < this.modules.size(); ++i) {
                // 获取 ObjectWriterModule
                ObjectWriterModule module = (ObjectWriterModule)this.modules.get(i);
                objectWriter = module.getObjectWriter(objectType, objectClass);
                // 为 null
                if (objectWriter != null) {ObjectWriter previous = fieldBased ? (ObjectWriter)this.cacheFieldBased.putIfAbsent(objectType, objectWriter) : (ObjectWriter)this.cache.putIfAbsent(objectType, objectWriter);
                    if (previous != null) {objectWriter = previous;}

                    return (ObjectWriter)objectWriter;
                }
            }
        }

        // 第一次执行临时还拿不到 ObjectWriter，这里的条件全副合乎
        if (objectWriter == null && objectClass != null && !fieldBased) {switch (objectClass.getName()) {
                // 针对 Guava 库的 map 内置了 ObjectWriter
                case "com.google.common.collect.HashMultimap":
                case "com.google.common.collect.LinkedListMultimap":
                case "com.google.common.collect.LinkedHashMultimap":
                case "com.google.common.collect.ArrayListMultimap":
                case "com.google.common.collect.TreeMultimap":
                    objectWriter = GuavaSupport.createAsMapWriter(objectClass);
                    break;
                // 不是 JSONObject 类
                case "com.alibaba.fastjson.JSONObject":
                    objectWriter = ObjectWriterImplMap.of(objectClass);
            }
        }
        
        // ObjectWriter 还没拿到
        if (objectWriter == null) {// 第一次拿须要通过 ObjectWriterCreator()去创立
            ObjectWriterCreator creator = this.getCreator();
            if (objectClass == null) {objectClass = TypeUtils.getMapping(objectType);
            }
            
            // 创立 ObjectWriter
            // ObjectWriter 的外面会创立 FieldWriter，这外面的逻辑很长，通过一些列简单逻辑的判断，再针对字段获取
            objectWriter = creator.createObjectWriter(objectClass, fieldBased ? Feature.FieldBased.mask : 0L, this);
            // 放入缓存
            ObjectWriter previous = fieldBased ? (ObjectWriter)this.cacheFieldBased.putIfAbsent(objectType, objectWriter) : (ObjectWriter)this.cache.putIfAbsent(objectType, objectWriter);
            if (previous != null) {objectWriter = previous;}
        }

        return (ObjectWriter)objectWriter;
    }
}

其中 FiledWriter 获取逻辑如下：

// ObjectWriterCreatorASM.java 236 行左右的地位
BeanUtils.fields(objectClass, (field) -> {if (fieldBased || Modifier.isPublic(field.getModifiers())) {fieldInfo.init();
        // 创立 FieldWriter
        FieldWriter fieldWriter = this.creteFieldWriter(objectClass, writerFeatures, provider.modules, beanInfo, fieldInfo, field);
        if (fieldWriter != null) {
            // 放入缓存
            fieldWriterMap.putIfAbsent(fieldWriter.fieldName, fieldWriter);
        }

    }
});

3.1.5 write()操作

获取到 ObjectWriter 之后，就能够进行 write() 操作了，JSON.toJSONString()入口：

objectWriter.write((JSONWriter)writer, object, (Object)null, (Type)null, 0L);

因为自定义类的 ObjectWriter 是运行时拿到的，无奈通过调试获取到，然而能够通过内置的 ObjectWriter 来判断大略的 write() 流程：

比方 LocalDateWriter 的write()如下：

public void write(JSONWriter jsonWriter, Object object, Object fieldName, Type fieldType, long features) {
    try {int year = (Integer)this.getYear.invoke(object);
        int monthOfYear = (Integer)this.getMonthOfYear.invoke(object);
        int dayOfMonth = (Integer)this.getDayOfMonth.invoke(object);
        Object chronology = this.getChronology.invoke(object);
        if (chronology != this.utc && chronology != null) {jsonWriter.startObject();
            // 写入 key
            jsonWriter.writeName("year");
            // 写入 value
            jsonWriter.writeInt32(year);
            jsonWriter.writeName("month");
            jsonWriter.writeInt32(monthOfYear);
            jsonWriter.writeName("day");
            jsonWriter.writeInt32(dayOfMonth);
            jsonWriter.writeName("chronology");
            jsonWriter.writeAny(chronology);
            jsonWriter.endObject();} else {LocalDate localDate = LocalDate.of(year, monthOfYear, dayOfMonth);
            DateTimeFormatter formatter = this.getDateFormatter();
            if (formatter == null) {formatter = jsonWriter.getContext().getDateFormatter();}

            if (formatter == null) {jsonWriter.writeLocalDate(localDate);
            } else {String str = formatter.format(localDate);
                jsonWriter.writeString(str);
            }
        }
    } catch (InvocationTargetException | IllegalAccessException var14) {throw new JSONException("write LocalDateWriter error", var14);
    }
}

依据 getter 获取字段值并调用对应的 Writer 去写JSON。

3.2 反序列化

3.2.1 概览

反序列化也能够参考官网的一张图：

大略流程与序列化相似：

• 获取ObjectReader
• 如果 ObjectReaderProvider 有缓存，从缓存提取
• 如果 ObjectReaderProvider 没有缓存，创立 ObjectReader 并且缓存到 ObjectReaderProvider 中
• 通过 JSONReader 失去Object
• 返回后果

3.2.2 入口

Entity entity = Entity.builder().field1("a").field2(2).build();
String str = JSON.toJSONString(entity);
System.out.println(JSON.parseObject(str,Entity.class));

其中 parseObject() 如下：

static <T> T parseObject(String text, Class<T> clazz) {if (text != null && !text.isEmpty()) {
        // 获取 JSONReader
        JSONReader reader = JSONReader.of(text);

        Object var7;
        try {
            JSONReader.Context context = reader.context;
            // 判断是否基于字段反序列化
            boolean fieldBased = (context.features & Feature.FieldBased.mask) != 0L;
            // 通过 ObjectReaderProvider 获取 ObjectReader
            // 这个 context 看起来和 ObjectReaderProvider 无关，实际上外部实现 Context 蕴含了 ObjectReaderProvider
            ObjectReader<T> objectReader = context.provider.getObjectReader(clazz, fieldBased);
            // 反序列化外围办法
            T object = objectReader.readObject(reader, (Type)null, (Object)null, 0L);
            if (reader.resolveTasks != null) {reader.handleResolveTasks(object);
            }

            if (reader.ch != 26 && (reader.context.features & Feature.IgnoreCheckClose.mask) == 0L) {throw new JSONException(reader.info("input not end"));
            }

            var7 = object;
        } catch (Throwable var9) {if (reader != null) {
                try {reader.close();
                } catch (Throwable var8) {var9.addSuppressed(var8);
                }
            }

            throw var9;
        }

        if (reader != null) {reader.close();
        }

        return var7;
    } else {return null;}
}

3.2.3 获取JSONReader

JSON.parseObject()入口：

JSONReader reader = JSONReader.of(text);

其中 JSONReader.of() 实现如下：

public static JSONReader of(String str) {if (str == null) {throw new NullPointerException();
    } else {
        // 创立 Context
        // Context 外部蕴含了 ObjectReaderProvider
        Context context = JSONFactory.createReadContext();
        int length;
        // 测试环境 JDK8，此处 if 不成立
        if (JDKUtils.JVM_VERSION > 8 && JDKUtils.UNSAFE_SUPPORT) {
            try {length = JDKUtils.STRING_CODER != null ? JDKUtils.STRING_CODER.applyAsInt(str) : UnsafeUtils.getStringCoder(str);
                if (length == 0) {byte[] bytes = JDKUtils.STRING_VALUE != null ? (byte[])JDKUtils.STRING_VALUE.apply(str) : UnsafeUtils.getStringValue(str);
                    return new JSONReaderASCII(context, str, bytes, 0, bytes.length);
                }
            } catch (Exception var4) {throw new JSONException("unsafe get String.coder error");
            }
        }

        length = str.length();
        char[] chars;
        // 测试环境 JDK8
        if (JDKUtils.JVM_VERSION == 8) {
            // 获取 char array
            chars = JDKUtils.getCharArray(str);
        } else {chars = str.toCharArray();
        }
        
        // 因为 JDK8 的 String 还是应用 char[]实现的，所以返回 UTF16 的 JSONReader
        return new JSONReaderUTF16(context, str, chars, 0, length);
    }
}

3.2.4 获取ObjectReader

JSON.parseObject()入口：

ObjectReader<T> objectReader = context.provider.getObjectReader(clazz, fieldBased);

getObjectReader()如下：

public ObjectReader getObjectReader(Type objectType, boolean fieldBased) {if (objectType == null) {objectType = Object.class;}

    // 有缓存间接从缓存提取
    ObjectReader objectReader = fieldBased ? (ObjectReader)this.cacheFieldBased.get(objectType) : (ObjectReader)this.cache.get(objectType);
    // 第一次获取 ObjectReader 为 null
    if (objectReader != null) {return objectReader;} else {Iterator var4 = this.modules.iterator();

        ObjectReader previous;
        while(var4.hasNext()) {ObjectReaderModule module = (ObjectReaderModule)var4.next();
            // 获取到的 ObjectReader 为 null
            objectReader = module.getObjectReader(this, (Type)objectType);
            if (objectReader != null) {previous = fieldBased ? (ObjectReader)this.cacheFieldBased.putIfAbsent(objectType, objectReader) : (ObjectReader)this.cache.putIfAbsent(objectType, objectReader);
                if (previous != null) {objectReader = previous;}

                return objectReader;
            }
        }

        Type rawType;
        // 条件不合乎
        if (objectType instanceof TypeVariable) {Type[] bounds = ((TypeVariable)objectType).getBounds();
            if (bounds.length > 0) {rawType = bounds[0];
                if (rawType instanceof Class) {previous = this.getObjectReader(rawType, fieldBased);
                    if (previous != null) {ObjectReader previous = this.getPreviousObjectReader(fieldBased, (Type)objectType, previous);
                        if (previous != null) {previous = previous;}

                        return previous;
                    }
                }
            }
        }
        
        // 条件不合乎
        if (objectType instanceof ParameterizedType) {ParameterizedType parameterizedType = (ParameterizedType)objectType;
            rawType = parameterizedType.getRawType();
            Type[] typeArguments = parameterizedType.getActualTypeArguments();
            if (rawType instanceof Class) {Class rawClass = (Class)rawType;
                boolean generic = false;

                for(Class clazz = rawClass; clazz != Object.class; clazz = clazz.getSuperclass()) {if (clazz.getTypeParameters().length > 0) {
                        generic = true;
                        break;
                    }
                }

                if (typeArguments.length == 0 || !generic) {ObjectReader rawClassReader = this.getObjectReader(rawClass, fieldBased);
                    if (rawClassReader != null) {ObjectReader previous = this.getPreviousObjectReader(fieldBased, (Type)objectType, rawClassReader);
                        if (previous != null) {rawClassReader = previous;}

                        return rawClassReader;
                    }
                }
            }
        }

        Class<?> objectClass = TypeUtils.getMapping((Type)objectType);
        String className = objectClass.getName();
        if (objectReader == null && !fieldBased) {switch (className) {
                // 针对 Guava 的 MultiMap，这里的条件不合乎
                case "com.google.common.collect.ArrayListMultimap":
                    objectReader = ObjectReaderImplMap.of((Type)null, objectClass, 0L);
            }
        }
        
        // ObjectReader 为 null
        if (objectReader == null) {
            // 获取 ObjectReaderCreator
            ObjectReaderCreator creator = this.getCreator();
            // 创立 ObjectReader
            objectReader = creator.createObjectReader(objectClass, (Type)objectType, fieldBased, this);
        }

        previous = this.getPreviousObjectReader(fieldBased, (Type)objectType, objectReader);
        if (previous != null) {objectReader = previous;}

        return objectReader;
    }
}

在创立 ObjectReader 的同时，会在其中创立FieldReader：

// ObjectReaderCreator.java 453
FieldReader[] fieldReaderArray = this.createFieldReaders(objectClass, objectType, beanInfo, fieldBased, provider);

3.2.5 read()操作

有了 ObjectReader 之后就能够进行具体的 read() 操作了，JSON.parseObject()入口：

T object = objectReader.readObject(reader, (Type)null, (Object)null, 0L);

此处的 readObject() 如下：

// ObjectReaderNoneDefaultConstructor.java 171 行
public T readObject(JSONReader jsonReader, Type fieldType, Object fieldName, long features) {
    // 判断是否带有 JSONReader.Feature.ErrorOnNoneSerializable
    if (!this.serializable) {jsonReader.errorOnNoneSerializable(this.objectClass);
    }

    // 是否 JSONB，不合乎
    if (jsonReader.isJSONB()) {return this.readJSONBObject(jsonReader, fieldType, fieldName, 0L);
    } else if (jsonReader.isArray() && jsonReader.isSupportBeanArray(features | this.features)) {
        // 是数组而且反对 JSONReader.Feature.SupportArrayToBean，不合乎
        jsonReader.next();
        LinkedHashMap<Long, Object> valueMap = null;

        for(int i = 0; i < this.fieldReaders.length; ++i) {Object fieldValue = this.fieldReaders[i].readFieldValue(jsonReader);
            if (valueMap == null) {valueMap = new LinkedHashMap();
            }

            long hash = this.fieldReaders[i].fieldNameHash;
            valueMap.put(hash, fieldValue);
        }

        if (!jsonReader.nextIfMatch(']')) {throw new JSONException(jsonReader.info("array not end," + jsonReader.current()));
        } else {jsonReader.nextIfMatch(',');
            return this.createInstanceNoneDefaultConstructor((Map)(valueMap == null ? Collections.emptyMap() : valueMap));
        }
    } else {
        // 读取字符
        boolean objectStart = jsonReader.nextIfObjectStart();
        // 条件为 false，进入 else
        if (!objectStart && !jsonReader.isTypeRedirect() && jsonReader.nextIfEmptyString()) {return null;} else {
            // 获取 Context，读取其中的 Features
            JSONReader.Context context = jsonReader.getContext();
            long featuresAll = this.features | features | context.getFeatures();
            // 此处存储对象的值
            // key 是字段的 long 哈希值，哈希采取的是 fnv1a 64 算法生成的
            // value 是字段的具体值
            LinkedHashMap<Long, Object> valueMap = null;

            // 读取
            for(int i = 0; !jsonReader.nextIfMatch('}'); ++i) {
                // 读取字段名对应的 hashCode
                long hashCode = jsonReader.readFieldNameHashCode();
                if (hashCode != 0L) {if (hashCode == this.typeKeyHashCode && i == 0) {long typeHash = jsonReader.readTypeHashCode();
                        // 此处 if 条件不合乎
                        if (typeHash != this.typeNameHash) {boolean supportAutoType = (featuresAll & Feature.SupportAutoType.mask) != 0L;
                            ObjectReader autoTypeObjectReader;
                            String typeName;
                            if (supportAutoType) {autoTypeObjectReader = context.getObjectReaderAutoType(typeHash);
                                if (autoTypeObjectReader == null) {typeName = jsonReader.getString();
                                    autoTypeObjectReader = context.getObjectReaderAutoType(typeName, this.objectClass, this.features);
                                }
                            } else {typeName = jsonReader.getString();
                                autoTypeObjectReader = context.getObjectReaderAutoType(typeName, this.objectClass);
                            }

                            if (autoTypeObjectReader == null) {typeName = jsonReader.getString();
                                autoTypeObjectReader = context.getObjectReaderAutoType(typeName, this.objectClass, this.features);
                            }

                            if (autoTypeObjectReader != null) {Object object = autoTypeObjectReader.readObject(jsonReader, fieldType, fieldName, 0L);
                                jsonReader.nextIfMatch(',');
                                return object;
                            }
                        }
                    } else {
                        // 获取字段名哈希对应的 FieldReader
                        FieldReader fieldReader = this.getFieldReader(hashCode);
                           // 条件不合乎
                        if (fieldReader == null && (featuresAll & Feature.SupportSmartMatch.mask) != 0L) {long hashCodeLCase = jsonReader.getNameHashCodeLCase();
                            if (hashCodeLCase != hashCode) {fieldReader = this.getFieldReaderLCase(hashCodeLCase);
                            }
                        }
                        
                        // fieldReader 不为 null
                        if (fieldReader == null) {this.processExtra(jsonReader, (Object)null);
                        } else {
                            // 读取字段值
                            Object fieldValue = fieldReader.readFieldValue(jsonReader);
                            if (valueMap == null) {valueMap = new LinkedHashMap();
                            }

                            long hash;
                            if (fieldReader instanceof FieldReaderObjectParam) {hash = ((FieldReaderObjectParam)fieldReader).paramNameHash;
                            } else {hash = fieldReader.fieldNameHash;}
                            // 写入
                            valueMap.put(hash, fieldValue);
                        }
                    }
                }
            }

            // 结构对象
            T object = this.createInstanceNoneDefaultConstructor((Map)(valueMap == null ? Collections.emptyMap() : valueMap));
            if (this.setterFieldReaders != null && valueMap != null) {for(int i = 0; i < this.setterFieldReaders.length; ++i) {FieldReader fieldReader = this.setterFieldReaders[i];
                    // 读取字段值
                    Object fieldValue = valueMap.get(fieldReader.fieldNameHash);
                    if (fieldValue != null) {
                        // 通过 setter 注入
                        fieldReader.accept(object, fieldValue);
                    }
                }
            }

            jsonReader.nextIfMatch(',');
            return object;
        }
    }
}

4 结尾

其实文章中很多细节的中央因为篇幅的限度无奈过于具体的解释，比方内置的各类型的 Reader/Writer 具体是如何获取值进行序列化 / 反序列操作的，想要深刻探索这部分就只能本人去挖源码了。另外须要留神的是，文章的环境是在 JDK8 下的，因为 Fastjson2 在不同的 JDK 下会有不同的序列化实现，因而仅供参考。

最初，对于性能的比拟，能够参考官网的比拟基准。

5 参考

• Fastjson2 Github
• Fastjson2 Wiki