A line of log caused an online accident of P1
Online accident review
Some time ago, my colleague added a very simple function. Before going online in the eveningreview
When he was coding, he thought of the company's values of hard work and enterprising and temporarily added a line of logs. He thought that there was basically no problem with a simple line of logs. As a result, there were a lot of alarms after just finishing the line. He quickly rolled back the code, found the problem and deleted it. Add the log code and go online again.
Scenario restoration
##❝defined ACountryDTO
❞public class CountryDTO { private String country; public void setCountry(String country) { this.country = country; } public String getCountry() { return this.country; } public Boolean isChinaName() { return this.country.equals("中国"); } }Copy after login
❝Define Test ClassNull PointerFastJonTest
❞##Run Timespublic class FastJonTest { @Test public void testSerialize() { CountryDTO countryDTO = new CountryDTO(); String str = JSON.toJSONString(countryDTO); System.out.println(str); } }Copy after login
Error:
It can be seen from the error message that the isChinaName()
method was executed during the serialization process. At this time, the this.country
variable is empty, so the problem arises:
Why does serialization execute isChinaName()
?By extension, what methods will be executed during the serialization process?
Source code Analysis
Observe the stack information of the calling link through debug
The ASMSerializer_1_CountryDTO.write
in the call chain is FastJson
using asm
Technology dynamically generated a classASMSerializer_1_CountryDTO
.
❝
asm技术其中一项使用场景就是通过到动态生成类用来代替
java
反射,从而避免重复执行时的反射开销❞
JavaBeanSerizlier序列化原理
通过下图看出序列化的过程中,主要是调用JavaBeanSerializer
类的write()
方法。
ObjectSerializer实现类JavaBeanSerializer
而JavaBeanSerializer
主要是通过getObjectWriter()
方法获取,通过对getObjectWriter()
执行过程的调试,找到比较关键的com.alibaba.fastjson.serializer.SerializeConfig#createJavaBeanSerializer
方法,进而找到 com.alibaba.fastjson.util.TypeUtils#computeGetters
public static List<FieldInfo> computeGetters(Class<?> clazz, // JSONType jsonType, // Map<String,String> aliasMap, // Map<String,Field> fieldCacheMap, // boolean sorted, // PropertyNamingStrategy propertyNamingStrategy // ){ //省略部分代码.... Method[] methods = clazz.getMethods(); for(Method method : methods){ //省略部分代码... if(method.getReturnType().equals(Void.TYPE)){ continue; } if(method.getParameterTypes().length != 0){ continue; } //省略部分代码... JSONField annotation = TypeUtils.getAnnotation(method, JSONField.class); //省略部分代码... if(annotation != null){ if(!annotation.serialize()){ continue; } if(annotation.name().length() != 0){ //省略部分代码... } } if(methodName.startsWith("get")){ //省略部分代码... } if(methodName.startsWith("is")){ //省略部分代码... } } }
从代码中大致分为三种情况:
@JSONField(.serialize = false, name = "xxx")
注解getXxx()
: get开头的方法isXxx()
:is开头的方法
序列化流程图
序列化流程图
示例代码
/** * case1: @JSONField(serialize = false) * case2: getXxx()返回值为void * case3: isXxx()返回值不等于布尔类型 * case4: @JSONType(ignores = "xxx") */ @JSONType(ignores = "otherName") public class CountryDTO { private String country; public void setCountry(String country) { this.country = country; } public String getCountry() { return this.country; } public static void queryCountryList() { System.out.println("queryCountryList()执行!!"); } public Boolean isChinaName() { System.out.println("isChinaName()执行!!"); return true; } public String getEnglishName() { System.out.println("getEnglishName()执行!!"); return "lucy"; } public String getOtherName() { System.out.println("getOtherName()执行!!"); return "lucy"; } /** * case1: @JSONField(serialize = false) */ @JSONField(serialize = false) public String getEnglishName2() { System.out.println("getEnglishName2()执行!!"); return "lucy"; } /** * case2: getXxx()返回值为void */ public void getEnglishName3() { System.out.println("getEnglishName3()执行!!"); } /** * case3: isXxx()返回值不等于布尔类型 */ public String isChinaName2() { System.out.println("isChinaName2()执行!!"); return "isChinaName2"; } }
运行结果为:
isChinaName()执行!! getEnglishName()执行!! {"chinaName":true,"englishName":"lucy"}
代码规范
可以看出来序列化的规则还是很多的,比如有时需要关注返回值,有时需要关注参数个数,有时需要关注@JSONType
注解,有时需要关注@JSONField
注解;当一个事物的判别方式有多种的时候,由于团队人员掌握知识点的程度不一样,这个方差很容易导致代码问题,所以尽量有一种推荐方案。
这里推荐使用@JSONField(serialize = false)
来显式的标注方法不参与序列化,下面是使用@JSONField
注解后的代码,是不是一眼就能看出来哪些方法不需要参与序列化了。
public class CountryDTO { private String country; public void setCountry(String country) { this.country = country; } public String getCountry() { return this.country; } @JSONField(serialize = false) public static void queryCountryList() { System.out.println("queryCountryList()执行!!"); } public Boolean isChinaName() { System.out.println("isChinaName()执行!!"); return true; } public String getEnglishName() { System.out.println("getEnglishName()执行!!"); return "lucy"; } @JSONField(serialize = false) public String getOtherName() { System.out.println("getOtherName()执行!!"); return "lucy"; } @JSONField(serialize = false) public String getEnglishName2() { System.out.println("getEnglishName2()执行!!"); return "lucy"; } @JSONField(serialize = false) public void getEnglishName3() { System.out.println("getEnglishName3()执行!!"); } @JSONField(serialize = false) public String isChinaName2() { System.out.println("isChinaName2()执行!!"); return "isChinaName2"; } }
三个频率高的序列化的情况
三个频率高的序列化的情况
以上流程基本遵循,发现问题 --> 原理分析 --> 解决问题 --> 升华(编程规范)。
围绕业务上:解决问题 -> 如何选择一种好的额解决方案 -> 好的解决方式如何扩展 n 个系统应用; 围绕技术上:解决单个问题,顺着单个问题掌握这条线上的原理。
但其实这段代码我并不满意,原因是和 FastJson 依赖太高了。我想要的效果是,不依赖任何特定的 JSON 序列化框架。当我需要替换掉它的时候,随时可以替换掉。
并且在写代码时,不要过于依赖日志。打日志只需要打紧要且关键的信息即可,不要什么日志都打,我曾见过一个系统,一个小时,把 128G 磁盘跑满的管理系统。几乎没啥并发,但几乎每个请求都输出几 M 的日志,这件事我后面会单独拿出来讲讲。
关于@JSONField
和@JSONType
等特性注解,后面我会在团队内规范并给出新的解耦方案,把它们移除掉。
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