是什么?
java.lang.ThreadLocal<T> extends Object
ThreadLocal 类提供线程局部变量。
ThreadLocal 解决线程安全持有对象访问的问题 . 通过 ThreadLocal.set() 方法将对象实例保存在每个线程自己所拥有的 ThreadLocalMap中，这样每个线程使用自己的对象实例，彼此不会影响达到隔离的作用，从而就解决了对象在被共享访问带来线程安全问题。
如果将同步机制和 ThreadLocal 做一个横向比较的话，同步机制就是通过控制线程访问共享对象的顺序，而 ThreadLocal 就是为每一个线程分配一个该对象，各用各的互不影响。
打个比方说，现在有100个同学需要填写一张表格但是只有一支笔，同步就相当于A使用完这支笔后给B，B使用后给C用......老师就控制着这支笔的使用顺序，使得同学之间不会产生冲突。而 ThreadLocal 就相当于，老师直接准备了100支笔，这样每个同学都使用自己的，同学之间就不会产生冲突。
很显然这就是两种不同的思路，同步机制以“时间换空间”，由于每个线程在同一时刻共享对象只能被一个线程访问造成整体上响应时间增加，但是对象只占有一份内存，牺牲了时间效率换来了空间效率即“时间换空间”。而ThreadLocal，为每个线程都分配了一份对象，自然而然内存使用率增加，每个线程各用各的，整体上时间效率要增加很多，牺牲了空间效率换来时间效率即“空间换时间”。
应用场景
org.apache.ibatis.session.SqlSessionManager
/**
* Copyright 2009-2018 the original author or authors.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package org.apache.ibatis.session;
import java.io.InputStream;
import java.io.Reader;
import java.lang.reflect.InvocationHandler;
import java.lang.reflect.Method;
import java.lang.reflect.Proxy;
import java.sql.Connection;
import java.util.List;
import java.util.Map;
import java.util.Properties;
import org.apache.ibatis.cursor.Cursor;
import org.apache.ibatis.executor.BatchResult;
import org.apache.ibatis.reflection.ExceptionUtil;
/**
* @author Larry Meadors
*/
public class SqlSessionManager implements SqlSessionFactory, SqlSession {
private final SqlSessionFactory sqlSessionFactory;
private final SqlSession sqlSessionProxy;
private final ThreadLocal<SqlSession> localSqlSession = new ThreadLocal<>();
...
public void startManagedSession() {
this.localSqlSession.set(openSession());
}
public void startManagedSession(boolean autoCommit) {
this.localSqlSession.set(openSession(autoCommit));
}
public void startManagedSession(Connection connection) {
this.localSqlSession.set(openSession(connection));
}
public void startManagedSession(TransactionIsolationLevel level) {
this.localSqlSession.set(openSession(level));
}
public void startManagedSession(ExecutorType execType) {
this.localSqlSession.set(openSession(execType));
}
public void startManagedSession(ExecutorType execType, boolean autoCommit) {
this.localSqlSession.set(openSession(execType, autoCommit));
}
public void startManagedSession(ExecutorType execType, TransactionIsolationLevel level) {
this.localSqlSession.set(openSession(execType, level));
}
public void startManagedSession(ExecutorType execType, Connection connection) {
this.localSqlSession.set(openSession(execType, connection));
}
public boolean isManagedSessionStarted() {
return this.localSqlSession.get() != null;
}
...
@Override
public Connection getConnection() {
final SqlSession sqlSession = localSqlSession.get();
if (sqlSession == null) {
throw new SqlSessionException("Error: Cannot get connection. No managed session is started.");
}
return sqlSession.getConnection();
}
@Override
public void clearCache() {
final SqlSession sqlSession = localSqlSession.get();
if (sqlSession == null) {
throw new SqlSessionException("Error: Cannot clear the cache. No managed session is started.");
}
sqlSession.clearCache();
}
@Override
public void commit() {
final SqlSession sqlSession = localSqlSession.get();
if (sqlSession == null) {
throw new SqlSessionException("Error: Cannot commit. No managed session is started.");
}
sqlSession.commit();
}
@Override
public void commit(boolean force) {
final SqlSession sqlSession = localSqlSession.get();
if (sqlSession == null) {
throw new SqlSessionException("Error: Cannot commit. No managed session is started.");
}
sqlSession.commit(force);
}
@Override
public void rollback() {
final SqlSession sqlSession = localSqlSession.get();
if (sqlSession == null) {
throw new SqlSessionException("Error: Cannot rollback. No managed session is started.");
}
sqlSession.rollback();
}
@Override
public void rollback(boolean force) {
final SqlSession sqlSession = localSqlSession.get();
if (sqlSession == null) {
throw new SqlSessionException("Error: Cannot rollback. No managed session is started.");
}
sqlSession.rollback(force);
}
@Override
public List<BatchResult> flushStatements() {
final SqlSession sqlSession = localSqlSession.get();
if (sqlSession == null) {
throw new SqlSessionException("Error: Cannot rollback. No managed session is started.");
}
return sqlSession.flushStatements();
}
@Override
public void close() {
final SqlSession sqlSession = localSqlSession.get();
if (sqlSession == null) {
throw new SqlSessionException("Error: Cannot close. No managed session is started.");
}
try {
sqlSession.close();
} finally {
localSqlSession.set(null);
}
}
private class SqlSessionInterceptor implements InvocationHandler {
public SqlSessionInterceptor() {
// Prevent Synthetic Access
}
@Override
public Object invoke(Object proxy, Method method, Object[] args) throws Throwable {
final SqlSession sqlSession = SqlSessionManager.this.localSqlSession.get();
if (sqlSession != null) {
try {
return method.invoke(sqlSession, args);
} catch (Throwable t) {
throw ExceptionUtil.unwrapThrowable(t);
}
} else {
try (SqlSession autoSqlSession = openSession()) {
try {
final Object result = method.invoke(autoSqlSession, args);
autoSqlSession.commit();
return result;
} catch (Throwable t) {
autoSqlSession.rollback();
throw ExceptionUtil.unwrapThrowable(t);
}
}
}
}
}
}
实现原理: ThreadLocal的设计
首先看看ThreadLocal的接口：
protected T initialValue(); // 返回该线程局部变量的当前线程的初始值
public void set(T value); // 设置当前线程的线程局部变量副本的值
public T get(); // 返回当前线程的线程局部变量副本
ThreadLocal有3个方法，其中值得注意的是initialValue()，该方法是一个protected 的方法，显然是为了子类重写而特意实现的。该方法返回当前线程在该线程局部变量的初始值，这个方法是一个延迟调用方法，在一个线程第1次调用get()或者set(Object)时才执行，并且仅执行1次。ThreadLocal中的确实实现直接返回一个null：
/**
* Returns the current thread's "initial value" for this
* thread-local variable. This method will be invoked the first
* time a thread accesses the variable with the {@link #get}
* method, unless the thread previously invoked the {@link #set}
* method, in which case the {@code initialValue} method will not
* be invoked for the thread. Normally, this method is invoked at
* most once per thread, but it may be invoked again in case of
* subsequent invocations of {@link #remove} followed by {@link #get}.
*
* <p>This implementation simply returns {@code null}; if the
* programmer desires thread-local variables to have an initial
* value other than {@code null}, {@code ThreadLocal} must be
* subclassed, and this method overridden. Typically, an
* anonymous inner class will be used.
*
* @return the initial value for this thread-local
*/
protected T initialValue() {
return null;
}
ThreadLocalMap
ThreadLocal是如何做到为每一个线程维护变量的副本的呢？其实实现的思路很简单，在ThreadLocal类中有一个Map，用于存储每一个线程的变量的副本。
为什么不直接使用Map<Thread, Object>为底层数据结构?
如果ThreadLoad直接使用Map<Thread, Object>为底层数据结构，当有大量的线程使用ThreadLocal时，首先Map访问的性能会下降，伴随着线程生命周期，底层的Map还需要频繁的添加删除entity，这就很容易造成性能瓶颈。
ThreadLocalMap 源码:
/**
* ThreadLocalMap is a customized hash map suitable only for
* maintaining thread local values. No operations are exported
* outside of the ThreadLocal class. The class is package private to
* allow declaration of fields in class Thread. To help deal with
* very large and long-lived usages, the hash table entries use
* WeakReferences for keys. However, since reference queues are not
* used, stale entries are guaranteed to be removed only when
* the table starts running out of space.
*/
static class ThreadLocalMap {
/**
* The entries in this hash map extend WeakReference, using
* its main ref field as the key (which is always a
* ThreadLocal object). Note that null keys (i.e. entry.get()
* == null) mean that the key is no longer referenced, so the
* entry can be expunged [清除] from table. Such entries are referred to
* as "stale【陈腐的；不新鲜的】 entries" in the code that follows.
*/
static class Entry extends WeakReference<ThreadLocal<?>> {
/** The value associated with this ThreadLocal. */
Object value;
Entry(ThreadLocal<?> k, Object v) {
super(k);
value = v;
}
}
/**
* The initial capacity -- MUST be a power of two.
*/
private static final int INITIAL_CAPACITY = 16;
/**
* The table, resized as necessary.
* table.length MUST always be a power of two.
*/
private Entry[] table;
/**
* The number of entries in the table.
*/
private int size = 0;
/**
* The next size value at which to resize.
*/
private int threshold; // Default to 0
/**
* Set the resize threshold to maintain at worst a 2/3 load factor.
*/
private void setThreshold(int len) {
threshold = len * 2 / 3;
}
/**
* Increment i modulo len.
*/
private static int nextIndex(int i, int len) {
return ((i + 1 < len) ? i + 1 : 0);
}
/**
* Decrement i modulo len.
*/
private static int prevIndex(int i, int len) {
return ((i - 1 >= 0) ? i - 1 : len - 1);
}
/**
* Construct a new map initially containing (firstKey, firstValue).
* ThreadLocalMaps are constructed lazily, so we only create
* one when we have at least one entry to put in it.
*/
ThreadLocalMap(ThreadLocal<?> firstKey, Object firstValue) {
table = new Entry[INITIAL_CAPACITY];
int i = firstKey.threadLocalHashCode & (INITIAL_CAPACITY - 1);
table[i] = new Entry(firstKey, firstValue);
size = 1;
setThreshold(INITIAL_CAPACITY);
}
/**
* Construct a new map including all Inheritable ThreadLocals
* from given parent map. Called only by createInheritedMap.
*
* @param parentMap the map associated with parent thread.
*/
private ThreadLocalMap(ThreadLocalMap parentMap) {
Entry[] parentTable = parentMap.table;
int len = parentTable.length;
setThreshold(len);
table = new Entry[len];
for (int j = 0; j < len; j++) {
Entry e = parentTable[j];
if (e != null) {
@SuppressWarnings("unchecked")
ThreadLocal<Object> key = (ThreadLocal<Object>) e.get();
if (key != null) {
Object value = key.childValue(e.value);
Entry c = new Entry(key, value);
int h = key.threadLocalHashCode & (len - 1);
while (table[h] != null)
h = nextIndex(h, len);
table[h] = c;
size++;
}
}
}
}
/**
* Get the entry associated with key. This method
* itself handles only the fast path: a direct hit of existing
* key. It otherwise relays to getEntryAfterMiss. This is
* designed to maximize performance for direct hits, in part
* by making this method readily inlinable.
*
* @param key the thread local object
* @return the entry associated with key, or null if no such
*/
private Entry getEntry(ThreadLocal<?> key) {
int i = key.threadLocalHashCode & (table.length - 1);
Entry e = table[i];
if (e != null && e.get() == key)
return e;
else
return getEntryAfterMiss(key, i, e);
}
/**
* Version of getEntry method for use when key is not found in
* its direct hash slot.
*
* @param key the thread local object
* @param i the table index for key's hash code
* @param e the entry at table[i]
* @return the entry associated with key, or null if no such
*/
private Entry getEntryAfterMiss(ThreadLocal<?> key, int i, Entry e) {
Entry[] tab = table;
int len = tab.length;
while (e != null) {
ThreadLocal<?> k = e.get();
if (k == key)
return e;
if (k == null)
expungeStaleEntry(i);
else
i = nextIndex(i, len);
e = tab[i];
}
return null;
}
/**
* Set the value associated with key.
*
* @param key the thread local object
* @param value the value to be set
*/
private void set(ThreadLocal<?> key, Object value) {
// We don't use a fast path as with get() because it is at
// least as common to use set() to create new entries as
// it is to replace existing ones, in which case, a fast
// path would fail more often than not.
Entry[] tab = table;
int len = tab.length;
int i = key.threadLocalHashCode & (len-1);
for (Entry e = tab[i];
e != null;
e = tab[i = nextIndex(i, len)]) {
ThreadLocal<?> k = e.get();
if (k == key) {
e.value = value;
return;
}
if (k == null) {
replaceStaleEntry(key, value, i);
return;
}
}
tab[i] = new Entry(key, value);
int sz = ++size;
if (!cleanSomeSlots(i, sz) && sz >= threshold)
rehash();
}
/**
* Remove the entry for key.
*/
private void remove(ThreadLocal<?> key) {
Entry[] tab = table;
int len = tab.length;
int i = key.threadLocalHashCode & (len-1);
for (Entry e = tab[i];
e != null;
e = tab[i = nextIndex(i, len)]) {
if (e.get() == key) {
e.clear();
expungeStaleEntry(i);
return;
}
}
}
/**
* Replace a stale entry encountered during a set operation
* with an entry for the specified key. The value passed in
* the value parameter is stored in the entry, whether or not
* an entry already exists for the specified key.
*
* As a side effect, this method expunges all stale entries in the
* "run" containing the stale entry. (A run is a sequence of entries
* between two null slots.)
*
* @param key the key
* @param value the value to be associated with key
* @param staleSlot index of the first stale entry encountered while
* searching for key.
*/
private void replaceStaleEntry(ThreadLocal<?> key, Object value,
int staleSlot) {
Entry[] tab = table;
int len = tab.length;
Entry e;
// Back up to check for prior stale entry in current run.
// We clean out whole runs at a time to avoid continual
// incremental rehashing due to garbage collector freeing
// up refs in bunches (i.e., whenever the collector runs).
int slotToExpunge = staleSlot;
for (int i = prevIndex(staleSlot, len);
(e = tab[i]) != null;
i = prevIndex(i, len))
if (e.get() == null)
slotToExpunge = i;
// Find either the key or trailing null slot of run, whichever
// occurs first
for (int i = nextIndex(staleSlot, len);
(e = tab[i]) != null;
i = nextIndex(i, len)) {
ThreadLocal<?> k = e.get();
// If we find key, then we need to swap it
// with the stale entry to maintain hash table order.
// The newly stale slot, or any other stale slot
// encountered above it, can then be sent to expungeStaleEntry
// to remove or rehash all of the other entries in run.
if (k == key) {
e.value = value;
tab[i] = tab[staleSlot];
tab[staleSlot] = e;
// Start expunge at preceding stale entry if it exists
if (slotToExpunge == staleSlot)
slotToExpunge = i;
cleanSomeSlots(expungeStaleEntry(slotToExpunge), len);
return;
}
// If we didn't find stale entry on backward scan, the
// first stale entry seen while scanning for key is the
// first still present in the run.
if (k == null && slotToExpunge == staleSlot)
slotToExpunge = i;
}
// If key not found, put new entry in stale slot
tab[staleSlot].value = null;
tab[staleSlot] = new Entry(key, value);
// If there are any other stale entries in run, expunge them
if (slotToExpunge != staleSlot)
cleanSomeSlots(expungeStaleEntry(slotToExpunge), len);
}
/**
* Expunge a stale entry by rehashing any possibly colliding entries
* lying between staleSlot and the next null slot. This also expunges
* any other stale entries encountered before the trailing null. See
* Knuth, Section 6.4
*
* @param staleSlot index of slot known to have null key
* @return the index of the next null slot after staleSlot
* (all between staleSlot and this slot will have been checked
* for expunging).
*/
private int expungeStaleEntry(int staleSlot) {
Entry[] tab = table;
int len = tab.length;
// expunge entry at staleSlot
tab[staleSlot].value = null;
tab[staleSlot] = null;
size--;
// Rehash until we encounter null
Entry e;
int i;
for (i = nextIndex(staleSlot, len);
(e = tab[i]) != null;
i = nextIndex(i, len)) {
ThreadLocal<?> k = e.get();
if (k == null) {
e.value = null;
tab[i] = null;
size--;
} else {
int h = k.threadLocalHashCode & (len - 1);
if (h != i) {
tab[i] = null;
// Unlike Knuth 6.4 Algorithm R, we must scan until
// null because multiple entries could have been stale.
while (tab[h] != null)
h = nextIndex(h, len);
tab[h] = e;
}
}
}
return i;
}
/**
* Heuristically scan some cells looking for stale entries.
* This is invoked when either a new element is added, or
* another stale one has been expunged. It performs a
* logarithmic number of scans, as a balance between no
* scanning (fast but retains garbage) and a number of scans
* proportional to number of elements, that would find all
* garbage but would cause some insertions to take O(n) time.
*
* @param i a position known NOT to hold a stale entry. The
* scan starts at the element after i.
*
* @param n scan control: {@code log2(n)} cells are scanned,
* unless a stale entry is found, in which case
* {@code log2(table.length)-1} additional cells are scanned.
* When called from insertions, this parameter is the number
* of elements, but when from replaceStaleEntry, it is the
* table length. (Note: all this could be changed to be either
* more or less aggressive by weighting n instead of just
* using straight log n. But this version is simple, fast, and
* seems to work well.)
*
* @return true if any stale entries have been removed.
*/
private boolean cleanSomeSlots(int i, int n) {
boolean removed = false;
Entry[] tab = table;
int len = tab.length;
do {
i = nextIndex(i, len);
Entry e = tab[i];
if (e != null && e.get() == null) {
n = len;
removed = true;
i = expungeStaleEntry(i);
}
} while ( (n >>>= 1) != 0);
return removed;
}
/**
* Re-pack and/or re-size the table. First scan the entire
* table removing stale entries. If this doesn't sufficiently
* shrink the size of the table, double the table size.
*/
private void rehash() {
expungeStaleEntries();
// Use lower threshold for doubling to avoid hysteresis
if (size >= threshold - threshold / 4)
resize();
}
/**
* Double the capacity of the table.
*/
private void resize() {
Entry[] oldTab = table;
int oldLen = oldTab.length;
int newLen = oldLen * 2;
Entry[] newTab = new Entry[newLen];
int count = 0;
for (int j = 0; j < oldLen; ++j) {
Entry e = oldTab[j];
if (e != null) {
ThreadLocal<?> k = e.get();
if (k == null) {
e.value = null; // Help the GC
} else {
int h = k.threadLocalHashCode & (newLen - 1);
while (newTab[h] != null)
h = nextIndex(h, newLen);
newTab[h] = e;
count++;
}
}
}
setThreshold(newLen);
size = count;
table = newTab;
}
/**
* Expunge all stale entries in the table.
*/
private void expungeStaleEntries() {
Entry[] tab = table;
int len = tab.length;
for (int j = 0; j < len; j++) {
Entry e = tab[j];
if (e != null && e.get() == null)
expungeStaleEntry(j);
}
}
}
This class provides thread-local variables. These variables differ from their normal counterparts (副本) in that each thread that accesses one (via its get or set method) has its own, independently initialized copy of the variable.
ThreadLocal instances are typically private static fields in classes that wish to associate state with a thread (e.g., a user ID or Transaction ID).
For example, the class below generates unique identifiers local to each thread. A thread's id is assigned the first time it invokes ThreadId.get() and remains unchanged on subsequent calls.
import java.util.concurrent.atomic.AtomicInteger;
public class ThreadId {
// Atomic integer containing the next thread ID to be assigned
private static final AtomicInteger nextId = new AtomicInteger(0);
// Thread local variable containing each thread's ID
private static final ThreadLocal<Integer> threadId =
new ThreadLocal<Integer>() {
@Override protected Integer initialValue() {
return nextId.getAndIncrement();
}
};
// Returns the current thread's unique ID, assigning it if necessary
public static int get() {
return threadId.get();
}
}
只要线程是活动的，并且可以访问 ThreadLocal 实例，则每个线程都对其线程局部变量的副本持有隐式引用。线程消失后，所有线程本地实例的副本都将进行垃圾回收（除非存在对这些副本的其他引用）。
Each thread holds an implicit reference to its copy of a thread-local variable as long as the thread is alive and the ThreadLocal instance is accessible; after a thread goes away, all of its copies of thread-local instances are subject to garbage collection (unless other references to these copies exist).
Since: 1.2
WeakReference
弱引用对象，这些对象不会阻止对其引用对象进行终结，终结和回收。弱引用最常用于实现规范化的映射。当一个对象仅仅被weak reference（弱引用）指向, 而没有任何其他 strong reference（强引用）指向的时候, 如果这时GC运行, 那么这个对象就会被回收，不论当前的内存空间是否足够，这个对象都会被回收。
- ThreadLocalMap是一个自定义的哈希映射，仅适用于维护线程局部值。 在ThreadLocal类之外没有导出任何操作。该类是包私有的，允许在Thread类中声明字段。为了帮助处理非常大且长期存在的用法，哈希表条目使用
WeakReferences作为键。但是，由于未使用引用队列（reference queues），因此仅在表开始空间不足时，才保证删除过时的条目。
Reference
java.lang.ref.Reference 为 软（soft）引用、弱（weak）引用、虚（phantom）引用的父类。
因为Reference对象和垃圾回收密切配合实现，该类可能不能被直接子类化。
可以理解为Reference的直接子类都是由jvm定制化处理的,因此在代码中直接继承于Reference类型没有任何作用。但可以继承jvm定制的Reference的子类。
例如：Cleaner 继承了 PhantomReference
public class Cleaner extends PhantomReference<Object>
构造函数:
/* -- Constructors -- */
Reference(T referent) {
this(referent, null);
}
Reference(T referent, ReferenceQueue<? super T> queue) {
this.referent = referent;
this.queue = (queue == null) ? ReferenceQueue.NULL : queue;
}
其内部提供2个构造函数，一个带queue，一个不带queue。其中queue的意义在于，我们可以在外部对这个queue进行监控。即如果有对象即将被回收，那么相应的reference对象就会被放到这个queue里。我们拿到reference，就可以再作一些事务。
如果我们在创建一个引用对象时，指定了ReferenceQueue，那么当引用对象指向的对象达到合适的状态（根据引用类型不同而不同）时，GC 会把引用对象本身添加到这个队列中，方便我们处理它，因为“引用对象指向的对象 GC 会自动清理，但是引用对象本身也是对象（是对象就占用一定资源），所以需要我们自己清理。”
Reference链表结构内部主要的成员有
- pending 和 discovered
private T referent; /* Treated specially by GC */
volatile ReferenceQueue<? super T> queue;
/* When active: NULL
* pending: this
* Enqueued: next reference in queue (or this if last)
* Inactive: this
*/
@SuppressWarnings("rawtypes")
Reference next;
/* When active: next element in a discovered reference list maintained by GC (or this if last)
* pending: next element in the pending list (or null if last)
* otherwise: NULL
*/
transient private Reference<T> discovered; /* used by VM */
/* Object used to synchronize with the garbage collector.
* 在垃圾收集中用于同步的对象。The collector
* must acquire this lock at the beginning of each collection cycle. It is
* therefore critical that any code holding this lock complete as quickly
* as possible, allocate no new objects, and avoid calling user code.
*/
static private class Lock { };
private static Lock lock = new Lock();
/* List of References waiting to be enqueued. The collector adds
* References to this list, while the Reference-handler thread removes
* them. This list is protected by the above lock object. The
* list uses the discovered field to link its elements.
*/
private static Reference<Object> pending = null;
最高优先级处理 Reference:
static {
// 获取当前线程组
ThreadGroup tg = Thread.currentThread().getThreadGroup();
for (ThreadGroup tgn = tg;
tgn != null;
tg = tgn, tgn = tg.getParent());
Thread handler = new ReferenceHandler(tg, "Reference Handler");
/* If there were a special system-only priority greater than
* MAX_PRIORITY, it would be used here
*/
handler.setPriority(Thread.MAX_PRIORITY);
handler.setDaemon(true);
handler.start();
}
ReferenceHandler
ReferenceHandler线程的 run() 方法里是一个无限死循环: for (;;) {}.
ReferenceHandler 线程代码:
/* High-priority thread to enqueue pending References
*/
private static class ReferenceHandler extends Thread {
ReferenceHandler(ThreadGroup g, String name) {
super(g, name);
}
public void run() {
for (;;) {
Reference<Object> r;
synchronized (lock) {
if (pending != null) {
r = pending;
pending = r.discovered;
r.discovered = null;
} else {
// The waiting on the lock may cause an OOME because it may try to allocate
// exception objects, so also catch OOME here to avoid silent exit of the
// reference handler thread.
//
// Explicitly define the order of the two exceptions we catch here
// when waiting for the lock.
//
// We do not want to try to potentially load the InterruptedException class
// (which would be done if this was its first use, and InterruptedException
// were checked first) in this situation.
//
// This may lead to the VM not ever trying to load the InterruptedException
// class again.
try {
try {
lock.wait();
} catch (OutOfMemoryError x) { }
} catch (InterruptedException x) { }
continue;
}
}
// Fast path for cleaners
if (r instanceof Cleaner) {
((Cleaner)r).clean();
continue;
}
ReferenceQueue<Object> q = r.queue;
if (q != ReferenceQueue.NULL) q.enqueue(r);
}
}
}
Reference 完整源码:
package java.lang.ref;
import sun.misc.Cleaner;
/**
* Abstract base class for reference objects. This class defines the
* operations common to all reference objects. Because reference objects are
* implemented in close cooperation with the garbage collector, this class may
* not be subclassed directly.
*
* @author Mark Reinhold
* @since 1.2
*/
public abstract class Reference<T> {
/* A Reference instance is in one of four possible internal states:
*
* Active: Subject to special treatment by the garbage collector. Some
* time after the collector detects that the reachability of the
* referent has changed to the appropriate state, it changes the
* instance's state to either Pending or Inactive, depending upon
* whether or not the instance was registered with a queue when it was
* created. In the former case it also adds the instance to the
* pending-Reference list. Newly-created instances are Active.
*
* Pending: An element of the pending-Reference list, waiting to be
* enqueued by the Reference-handler thread. Unregistered instances
* are never in this state.
*
* Enqueued: An element of the queue with which the instance was
* registered when it was created. When an instance is removed from
* its ReferenceQueue, it is made Inactive. Unregistered instances are
* never in this state.
*
* Inactive: Nothing more to do. Once an instance becomes Inactive its
* state will never change again.
*
* The state is encoded in the queue and next fields as follows:
*
* Active: queue = ReferenceQueue with which instance is registered, or
* ReferenceQueue.NULL if it was not registered with a queue; next =
* null.
*
* Pending: queue = ReferenceQueue with which instance is registered;
* next = this
*
* Enqueued: queue = ReferenceQueue.ENQUEUED; next = Following instance
* in queue, or this if at end of list.
*
* Inactive: queue = ReferenceQueue.NULL; next = this.
*
* With this scheme the collector need only examine the next field in order
* to determine whether a Reference instance requires special treatment: If
* the next field is null then the instance is active; if it is non-null,
* then the collector should treat the instance normally.
*
* To ensure that a concurrent collector can discover active Reference
* objects without interfering with application threads that may apply
* the enqueue() method to those objects, collectors should link
* discovered objects through the discovered field. The discovered
* field is also used for linking Reference objects in the pending list.
*/
private T referent; /* Treated specially by GC */
volatile ReferenceQueue<? super T> queue;
/* When active: NULL
* pending: this
* Enqueued: next reference in queue (or this if last)
* Inactive: this
*/
@SuppressWarnings("rawtypes")
Reference next;
/* When active: next element in a discovered reference list maintained by GC (or this if last)
* pending: next element in the pending list (or null if last)
* otherwise: NULL
*/
transient private Reference<T> discovered; /* used by VM */
/* Object used to synchronize with the garbage collector. The collector
* must acquire this lock at the beginning of each collection cycle. It is
* therefore critical that any code holding this lock complete as quickly
* as possible, allocate no new objects, and avoid calling user code.
*/
static private class Lock { };
private static Lock lock = new Lock();
/* List of References waiting to be enqueued. The collector adds
* References to this list, while the Reference-handler thread removes
* them. This list is protected by the above lock object. The
* list uses the discovered field to link its elements.
*/
private static Reference<Object> pending = null;
/* High-priority thread to enqueue pending References
*/
private static class ReferenceHandler extends Thread {
ReferenceHandler(ThreadGroup g, String name) {
super(g, name);
}
public void run() {
for (;;) {
Reference<Object> r;
synchronized (lock) {
if (pending != null) {
r = pending;
pending = r.discovered;
r.discovered = null;
} else {
// The waiting on the lock may cause an OOME because it may try to allocate
// exception objects, so also catch OOME here to avoid silent exit of the
// reference handler thread.
//
// Explicitly define the order of the two exceptions we catch here
// when waiting for the lock.
//
// We do not want to try to potentially load the InterruptedException class
// (which would be done if this was its first use, and InterruptedException
// were checked first) in this situation.
//
// This may lead to the VM not ever trying to load the InterruptedException
// class again.
try {
try {
lock.wait();
} catch (OutOfMemoryError x) { }
} catch (InterruptedException x) { }
continue;
}
}
// Fast path for cleaners
if (r instanceof Cleaner) {
((Cleaner)r).clean();
continue;
}
ReferenceQueue<Object> q = r.queue;
if (q != ReferenceQueue.NULL) q.enqueue(r);
}
}
}
static {
ThreadGroup tg = Thread.currentThread().getThreadGroup();
for (ThreadGroup tgn = tg;
tgn != null;
tg = tgn, tgn = tg.getParent());
Thread handler = new ReferenceHandler(tg, "Reference Handler");
/* If there were a special system-only priority greater than
* MAX_PRIORITY, it would be used here
*/
handler.setPriority(Thread.MAX_PRIORITY);
handler.setDaemon(true);
handler.start();
}
/* -- Referent accessor and setters -- */
/**
* Returns this reference object's referent. If this reference object has
* been cleared, either by the program or by the garbage collector, then
* this method returns <code>null</code>.
*
* @return The object to which this reference refers, or
* <code>null</code> if this reference object has been cleared
*/
public T get() {
return this.referent;
}
/**
* Clears this reference object. Invoking this method will not cause this
* object to be enqueued.
*
* <p> This method is invoked only by Java code; when the garbage collector
* clears references it does so directly, without invoking this method.
*/
public void clear() {
this.referent = null;
}
/* -- Queue operations -- */
/**
* Tells whether or not this reference object has been enqueued, either by
* the program or by the garbage collector. If this reference object was
* not registered with a queue when it was created, then this method will
* always return <code>false</code>.
*
* @return <code>true</code> if and only if this reference object has
* been enqueued
*/
public boolean isEnqueued() {
return (this.queue == ReferenceQueue.ENQUEUED);
}
/**
* Adds this reference object to the queue with which it is registered,
* if any.
*
* <p> This method is invoked only by Java code; when the garbage collector
* enqueues references it does so directly, without invoking this method.
*
* @return <code>true</code> if this reference object was successfully
* enqueued; <code>false</code> if it was already enqueued or if
* it was not registered with a queue when it was created
*/
public boolean enqueue() {
return this.queue.enqueue(this);
}
/* -- Constructors -- */
Reference(T referent) {
this(referent, null);
}
Reference(T referent, ReferenceQueue<? super T> queue) {
this.referent = referent;
this.queue = (queue == null) ? ReferenceQueue.NULL : queue;
}
}
ReferenceQueue 源代码
/**
* Reference queues, to which registered reference objects are appended by the
* garbage collector after the appropriate reachability changes are detected.
*
* @author Mark Reinhold
* @since 1.2
*/
public class ReferenceQueue<T> {
/**
* Constructs a new reference-object queue.
*/
public ReferenceQueue() { }
private static class Null<S> extends ReferenceQueue<S> {
boolean enqueue(Reference<? extends S> r) {
return false;
}
}
static ReferenceQueue<Object> NULL = new Null<>();
static ReferenceQueue<Object> ENQUEUED = new Null<>();
static private class Lock { };
private Lock lock = new Lock();
private volatile Reference<? extends T> head = null;
private long queueLength = 0;
boolean enqueue(Reference<? extends T> r) { /* Called only by Reference class */
synchronized (lock) {
// Check that since getting the lock this reference hasn't already been
// enqueued (and even then removed)
ReferenceQueue<?> queue = r.queue;
if ((queue == NULL) || (queue == ENQUEUED)) {
return false;
}
assert queue == this;
r.queue = ENQUEUED;
r.next = (head == null) ? r : head;
head = r;
queueLength++;
if (r instanceof FinalReference) {
sun.misc.VM.addFinalRefCount(1);
}
lock.notifyAll();
return true;
}
}
@SuppressWarnings("unchecked")
private Reference<? extends T> reallyPoll() { /* Must hold lock */
Reference<? extends T> r = head;
if (r != null) {
head = (r.next == r) ?
null :
r.next; // Unchecked due to the next field having a raw type in Reference
r.queue = NULL;
r.next = r;
queueLength--;
if (r instanceof FinalReference) {
sun.misc.VM.addFinalRefCount(-1);
}
return r;
}
return null;
}
/**
* Polls this queue to see if a reference object is available. If one is
* available without further delay then it is removed from the queue and
* returned. Otherwise this method immediately returns <tt>null</tt>.
*
* @return A reference object, if one was immediately available,
* otherwise <code>null</code>
*/
public Reference<? extends T> poll() {
if (head == null)
return null;
synchronized (lock) {
return reallyPoll();
}
}
/**
* Removes the next reference object in this queue, blocking until either
* one becomes available or the given timeout period expires.
*
* <p> This method does not offer real-time guarantees: It schedules the
* timeout as if by invoking the {@link Object#wait(long)} method.
*
* @param timeout If positive, block for up to <code>timeout</code>
* milliseconds while waiting for a reference to be
* added to this queue. If zero, block indefinitely.
*
* @return A reference object, if one was available within the specified
* timeout period, otherwise <code>null</code>
*
* @throws IllegalArgumentException
* If the value of the timeout argument is negative
*
* @throws InterruptedException
* If the timeout wait is interrupted
*/
public Reference<? extends T> remove(long timeout)
throws IllegalArgumentException, InterruptedException
{
if (timeout < 0) {
throw new IllegalArgumentException("Negative timeout value");
}
synchronized (lock) {
Reference<? extends T> r = reallyPoll();
if (r != null) return r;
long start = (timeout == 0) ? 0 : System.nanoTime();
for (;;) {
lock.wait(timeout);
r = reallyPoll();
if (r != null) return r;
if (timeout != 0) {
long end = System.nanoTime();
timeout -= (end - start) / 1000_000;
if (timeout <= 0) return null;
start = end;
}
}
}
}
/**
* Removes the next reference object in this queue, blocking until one
* becomes available.
*
* @return A reference object, blocking until one becomes available
* @throws InterruptedException If the wait is interrupted
*/
public Reference<? extends T> remove() throws InterruptedException {
return remove(0);
}
}
ThreadGroup
ThreadGroup 可以把thread的名字统一起来。一起处理catch。
ThreadGroup是Java提供的一种对线程进行分组管理的手段，可以对所有线程以组为单位进行操作，如设置优先级、守护线程等。
线程组也有父子的概念.
最佳实践
ThreadLocal 使用不当,会导致内存泄漏. 那么实践中我们应该怎么做？
每次使用完ThreadLocal，都调用它的remove()方法，清除数据。在使用线程池的情况下，如果没有及时清理ThreadLocal，不仅是内存泄漏的问题，更严重的是可能导致业务逻辑出现问题。所以，使用ThreadLocal就跟加锁完要解锁一样，用完就清理。
参考资料
https://www.jianshu.com/p/f86d3a43eec5
https://www.jianshu.com/p/dde92ec37bd1
https://www.jianshu.com/p/964fbc30151a
http://www.caotama.com/82807.html
https://www.jianshu.com/p/dde92ec37bd1
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