0x1 摘要
本文主要讲解Flink里为什么需要做闭包清除?Flink是怎么实现闭包清除的?
0x2 Flink 为什么要做闭包清除
大家都知道Flink中算子都是通过序列化分发到各节点上,所以要确保算子对象是可以被序列化的,很多时候大家比较喜欢直接用匿名内部类实现算子,而匿名内部类就会带来闭包问题,当匿名内部类引用的外部对象没有实现序列化接口时,就会导致内部类无法被序列化,因此Flink框架底层必须做好清除工作。
0x3 Flink 闭包清除实现
先来看一个Map算子代码:
final StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
final DataStreamSource<String> source = env.addSource(new SourceFunction<String>() {
@Override
public void run(SourceContext<String> ctx) throws Exception {
}
@Override
public void cancel() {
}
});
source.map(new MapFunction<String, String>() {
@Override
public String map(String value) throws Exception {
return null;
}
});
跟进源码查看map方法:
public <R> SingleOutputStreamOperator<R> map(MapFunction<T, R> mapper) {
TypeInformation<R> outType = TypeExtractor.getMapReturnTypes(clean(mapper), getType(),
Utils.getCallLocationName(), true);
return transform("Map", outType, new StreamMap<>(clean(mapper)));
}
重点关注clean(mapper)
代码,继续跟进源码,最终会走到StreamExecutionEnvironment
类的以下方法:
@Internal
public <F> F clean(F f) {
if (getConfig().isClosureCleanerEnabled()) {
ClosureCleaner.clean(f, true);
}
ClosureCleaner.ensureSerializable(f);
return f;
}
到这里已经可以看出来闭包清除工具类ClosureCleaner
,下面我们详细剖析一下此类。
先看clean
方法:
public static void clean(Object func, boolean checkSerializable) {
if (func == null) {
return;
}
final Class<?> cls = func.getClass();
// First find the field name of the "this$0" field, this can
// be "this$x" depending on the nesting
boolean closureAccessed = false;
for (Field f: cls.getDeclaredFields()) {
if (f.getName().startsWith("this$")) {
// found a closure referencing field - now try to clean
closureAccessed |= cleanThis0(func, cls, f.getName());
}
}
if (checkSerializable) {
try {
InstantiationUtil.serializeObject(func);
}
catch (Exception e) {
String functionType = getSuperClassOrInterfaceName(func.getClass());
String msg = functionType == null ?
(func + " is not serializable.") :
("The implementation of the " + functionType + " is not serializable.");
if (closureAccessed) {
msg += " The implementation accesses fields of its enclosing class, which is " +
"a common reason for non-serializability. " +
"A common solution is to make the function a proper (non-inner) class, or " +
"a static inner class.";
} else {
msg += " The object probably contains or references non serializable fields.";
}
throw new InvalidProgramException(msg, e);
}
}
}
方法参数:
-
func
:要清除的对应 -
checkSerializable
:清除完成后是否需要调用序列方法进行验证
第一步:查找闭包引用的成员变量,通过反射判断成员变量名是否包含this$
来判定,代码片断:
for (Field f: cls.getDeclaredFields()) {
if (f.getName().startsWith("this$")) {
// found a closure referencing field - now try to clean
closureAccessed |= cleanThis0(func, cls, f.getName());
}
}
找到闭包引用的成员变量后,调用内部私有方法cleanThis0
方法处理,看方法源码:
private static boolean cleanThis0(Object func, Class<?> cls, String this0Name) {
This0AccessFinder this0Finder = new This0AccessFinder(this0Name);
getClassReader(cls).accept(this0Finder, 0);
final boolean accessesClosure = this0Finder.isThis0Accessed();
if (LOG.isDebugEnabled()) {
LOG.debug(this0Name + " is accessed: " + accessesClosure);
}
if (!accessesClosure) {
Field this0;
try {
this0 = func.getClass().getDeclaredField(this0Name);
} catch (NoSuchFieldException e) {
// has no this$0, just return
throw new RuntimeException("Could not set " + this0Name + ": " + e);
}
try {
this0.setAccessible(true);
this0.set(func, null);
}
catch (Exception e) {
// should not happen, since we use setAccessible
throw new RuntimeException("Could not set " + this0Name + " to null. " + e.getMessage(), e);
}
}
return accessesClosure;
}
核心代码this0.set(func, null);
将闭包引用置空处理,此方法还用到了ASM包,具体逻辑没完成整明白。