开发者社区> 高广超> 正文
阿里云
为了无法计算的价值
打开APP
阿里云APP内打开

Java解读-ThreadLocal详解与应用

简介: ThreadLocal概念 ThreadLocal 字面意思来看有点像“线程的本地实现版本”,实际上真正含义是ThreadLocalVariable(线程本地局部变量),所以把它命名为ThreadLocalVar更加合适。
+关注继续查看

ThreadLocal概念

ThreadLocal 字面意思来看有点像“线程的本地实现版本”,实际上真正含义是ThreadLocalVariable(线程本地局部变量),所以把它命名为ThreadLocalVar更加合适。

ThreadLocal 是用来解决共享对象(单个线程内共享)的多线程访问问题的,使用场合主要解决多线程中数据因并发产生不一致问题。

ThreadLocal为每个线程的中并发访问的数据提供一个副本,通过访问副本来运行业务,这样的结果是耗费了内存,但是确避免线程同步所带来性能消耗,也减少了线程并发控制的复杂度。

只要使用了“池”(线程池、连接池),再使用ThreadLocal时,尤其需要注意,每个线程在使用ThreadLocal的时候,必须对ThreadLocal执行一次clear操作,避免出现线程污染问题,这也是最常踩的坑(近期我们就遇到过2次类似情况)。

ThreadLocal与多线程

ThreadLocal和Synchonized都用于解决多线程并发访问问题。但是ThreadLocal与synchronized有本质的区别。synchronized是利用锁的机制,使变量或代码块在某一时该只能被一个线程访问。而ThreadLocal为每一个线程都提供了变量的副本,使得每个线程在某一时间访问到的并不是同一个对象,这样就隔离了多个线程对数据的数据共享。而Synchronized却正好相反,它用于在多个线程间通信时能够获得数据共享。

Synchronized用于线程间的数据共享,而ThreadLocal则用于线程间的数据隔离,它们处理不同的问题域。

对于多线程资源共享的问题,同步机制采用了“以时间换空间”的方式,而ThreadLocal采用了“以空间换时间”的方式。前者仅提供一份变量,让不同的线程单线程排队等待访问,而后者为每一个线程都提供了一份变量,因此可以互不影响的同时访问。

ThreadLocal导致的内存泄露

ThreadLocal 的生命周期和它相应的线程直接关联。如果线程被终止并且被垃圾回收器收集,它相应的ThreadLocal 变量也将会被回收。

内存问题主要发生在当ThreadLocal变量使用在运行在应用服务器上的Java EE应用程序里边时。应用服务器通过使用线程池来管理线程以保证资源安全和提高性能。(参见Tomcat HTTP conncector配置为例)。

例如,一个HttpServletRequest发送到应用服务器的ServletEngine,一个空闲的线程将会从线程池中取出并且和servlet的应用逻辑进行连接。如果这个servlet或者它调用的Java类正在使用ThreadLocal变量,这些变量将会和当前的工作线程连接。如果servlet完成并将相应发送给客户端,那么与之连接的线程会被返回到线程池中,以便用来处理其他的请求。这意味着线程对象及其相关联的ThreadLocal变量没有被垃圾回收器收集,因为其线程对象还存在着。

根据池中的线程数量(在运行环境中大于100个线程是正常的)以及ThreadLocal变量中对象的大小,可能会发生致命的内存问题。例如对线程池中的200个线程进行配置以及将ThreadLocal变量的大小设置为5MB,这将会导致有1GB的堆空间被这些变量所占用。这将会导致一个GC的开销并且可能会由于OutOfMemoryError导致JVM崩溃。

ThreadLocal应用实例

*** servlet中保存上下文用户信息 ***

abstract class ThreadContext {
    private static final Logger log = LoggerFactory.getLogger(ThreadContext.class);
    private static final ThreadLocal<Map<Object, Object>> resources = new InheritableThreadLocalMap<Map<Object, Object>>();

    protected ThreadContext() {
    }

    public static Map<Object, Object> getResources() {
        return resources != null ? new HashMap<Object, Object>(resources.get()) : null;
    }

    public static void setResources(Map<Object, Object> newResources) {
        if (CollectionUtils.isEmpty(newResources)) {
            return;
        }
        resources.get().clear();
        resources.get().putAll(newResources);
    }

    private static Object getValue(Object key) {
        return resources.get().get(key);
    }

    public static Object get(Object key) {
        if (log.isTraceEnabled()) {
            String msg = "get() - in thread [" + Thread.currentThread().getName() + "]";
            log.trace(msg);
        }

        Object value = getValue(key);
        if ((value != null) && log.isTraceEnabled()) {
            String msg = "Retrieved value of type [" + value.getClass().getName() + "] for key [" +
                    key + "] " + "bound to thread [" + Thread.currentThread().getName() + "]";
            log.trace(msg);
        }
        return value;
    }

    public static void put(Object key, Object value) {
        if (key == null) {
            throw new IllegalArgumentException("key cannot be null");
        }

        if (value == null) {
            remove(key);
            return;
        }

        resources.get().put(key, value);

        if (log.isTraceEnabled()) {
            String msg = "Bound value of type [" + value.getClass().getName() + "] for key [" +
                    key + "] to thread " + "[" + Thread.currentThread().getName() + "]";
            log.trace(msg);
        }
    }

    public static Object remove(Object key) {
        Object value = resources.get().remove(key);

        if ((value != null) && log.isTraceEnabled()) {
            String msg = "Removed value of type [" + value.getClass().getName() + "] for key [" +
                    key + "]" + "from thread [" + Thread.currentThread().getName() + "]";
            log.trace(msg);
        }

        return value;
    }

    public static void remove() {
        resources.remove();
    }

    private static final class InheritableThreadLocalMap<T extends Map<Object, Object>> extends InheritableThreadLocal<Map<Object, Object>> {
        protected Map<Object, Object> initialValue() {
            return new HashMap<Object, Object>();
        }

        protected Map<Object, Object> childValue(Map<Object, Object> parentValue) {
            if (parentValue != null) {
                return (Map<Object, Object>) ((HashMap<Object, Object>) parentValue).clone();
            } else {
                return null;
            }
        }
    }
}

实现数据库连接Connection对象线程隔离

import java.sql.Connection;
import java.sql.DriverManager;
import java.sql.SQLException;

public class ConnectionManager {

        private static ThreadLocal<Connection> connectionHolder = new ThreadLocal<Connection>() {
        @Override
        protected Connection initialValue() {
            Connection conn = null;
            try {
                conn = DriverManager.getConnection(
                        "jdbc:mysql://localhost:3306/test", "username",
                        "password");
            } catch (SQLException e) {
                e.printStackTrace();
            }
            return conn;
        }
    };

    public static Connection getConnection() {
        return connectionHolder.get();
    }

    public static void setConnection(Connection conn) {
        connectionHolder.set(conn);
    }
}

*** hibernate中典型的ThreadLocal的应用:***

private static final ThreadLocal threadSession = new ThreadLocal();  
  
public static Session getSession() throws InfrastructureException {  
    Session s = (Session) threadSession.get();  
    try {  
        if (s == null) {  
            s = getSessionFactory().openSession();  
            threadSession.set(s);  
        }  
    } catch (HibernateException ex) {  
        throw new InfrastructureException(ex);  
    }  
    return s;  
}  

*** Spring多数据源实现中的应用***

public class MyDataSource extends AbstractRoutingDataSource {

    private static final ThreadLocal<String> dataSourceKey = new ThreadLocal<String>();

    public static void setDataSourceKey(String dataSource) {
        dataSourceKey.set(dataSource);
    }

    protected Object determineCurrentLookupKey() {
        String dsName = dataSourceKey.get();
        dataSourceKey.remove(); //这里需要注意的时,每次我们返回当前数据源的值得时候都需要移除ThreadLocal的值,这是为了避免同一线程上一次方法调用对之后调用的影响
        return dsName;
    }

}

ThreadLocal实现原理

代码细节就不说明了,粘出来有兴趣的可以阅读以下,以下为JDK7版本的实现。

/*
 * Copyright (c) 1997, 2007, Oracle and/or its affiliates. All rights reserved.
 * ORACLE PROPRIETARY/CONFIDENTIAL. Use is subject to license terms.

 */

package java.lang;
import java.lang.ref.*;
import java.util.concurrent.atomic.AtomicInteger;

/**
 * This class provides thread-local variables.  These variables differ from
 * their normal counterparts in that each thread that accesses one (via its
 * <tt>get</tt> or <tt>set</tt> method) has its own, independently initialized
 * copy of the variable.  <tt>ThreadLocal</tt> instances are typically private
 * static fields in classes that wish to associate state with a thread (e.g.,
 * a user ID or Transaction ID).
 *
 * <p>For example, the class below generates unique identifiers local to each
 * thread.
 * A thread's id is assigned the first time it invokes <tt>ThreadId.get()</tt>
 * and remains unchanged on subsequent calls.
 * <pre>
 * 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();
 *     }
 * }
 * </pre>
 * <p>Each thread holds an implicit reference to its copy of a thread-local
 * variable as long as the thread is alive and the <tt>ThreadLocal</tt>
 * 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).
 *
 * @author  Josh Bloch and Doug Lea
 * @since   1.2
 */
public class ThreadLocal<T> {
    /**
     * ThreadLocals rely on per-thread linear-probe hash maps attached
     * to each thread (Thread.threadLocals and
     * inheritableThreadLocals).  The ThreadLocal objects act as keys,
     * searched via threadLocalHashCode.  This is a custom hash code
     * (useful only within ThreadLocalMaps) that eliminates collisions
     * in the common case where consecutively constructed ThreadLocals
     * are used by the same threads, while remaining well-behaved in
     * less common cases.
     */
    private final int threadLocalHashCode = nextHashCode();

    /**
     * The next hash code to be given out. Updated atomically. Starts at
     * zero.
     */
    private static AtomicInteger nextHashCode =
        new AtomicInteger();

    /**
     * The difference between successively generated hash codes - turns
     * implicit sequential thread-local IDs into near-optimally spread
     * multiplicative hash values for power-of-two-sized tables.
     */
    private static final int HASH_INCREMENT = 0x61c88647;

    /**
     * Returns the next hash code.
     */
    private static int nextHashCode() {
        return nextHashCode.getAndAdd(HASH_INCREMENT);
    }

    /**
     * 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 <tt>initialValue</tt> 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 <tt>null</tt>; if the
     * programmer desires thread-local variables to have an initial
     * value other than <tt>null</tt>, <tt>ThreadLocal</tt> 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;
    }

    /**
     * Creates a thread local variable.
     */
    public ThreadLocal() {
    }

    /**
     * Returns the value in the current thread's copy of this
     * thread-local variable.  If the variable has no value for the
     * current thread, it is first initialized to the value returned
     * by an invocation of the {@link #initialValue} method.
     *
     * @return the current thread's value of this thread-local
     */
    public T get() {
        Thread t = Thread.currentThread();
        ThreadLocalMap map = getMap(t);
        if (map != null) {
            ThreadLocalMap.Entry e = map.getEntry(this);
            if (e != null)
                return (T)e.value;
        }
        return setInitialValue();
    }

    /**
     * Variant of set() to establish initialValue. Used instead
     * of set() in case user has overridden the set() method.
     *
     * @return the initial value
     */
    private T setInitialValue() {
        T value = initialValue();
        Thread t = Thread.currentThread();
        ThreadLocalMap map = getMap(t);
        if (map != null)
            map.set(this, value);
        else
            createMap(t, value);
        return value;
    }

    /**
     * Sets the current thread's copy of this thread-local variable
     * to the specified value.  Most subclasses will have no need to
     * override this method, relying solely on the {@link #initialValue}
     * method to set the values of thread-locals.
     *
     * @param value the value to be stored in the current thread's copy of
     *        this thread-local.
     */
    public void set(T value) {
        Thread t = Thread.currentThread();
        ThreadLocalMap map = getMap(t);
        if (map != null)
            map.set(this, value);
        else
            createMap(t, value);
    }

    /**
     * Removes the current thread's value for this thread-local
     * variable.  If this thread-local variable is subsequently
     * {@linkplain #get read} by the current thread, its value will be
     * reinitialized by invoking its {@link #initialValue} method,
     * unless its value is {@linkplain #set set} by the current thread
     * in the interim.  This may result in multiple invocations of the
     * <tt>initialValue</tt> method in the current thread.
     *
     * @since 1.5
     */
     public void remove() {
         ThreadLocalMap m = getMap(Thread.currentThread());
         if (m != null)
             m.remove(this);
     }

    /**
     * Get the map associated with a ThreadLocal. Overridden in
     * InheritableThreadLocal.
     *
     * @param  t the current thread
     * @return the map
     */
    ThreadLocalMap getMap(Thread t) {
        return t.threadLocals;
    }

    /**
     * Create the map associated with a ThreadLocal. Overridden in
     * InheritableThreadLocal.
     *
     * @param t the current thread
     * @param firstValue value for the initial entry of the map
     * @param map the map to store.
     */
    void createMap(Thread t, T firstValue) {
        t.threadLocals = new ThreadLocalMap(this, firstValue);
    }

    /**
     * Factory method to create map of inherited thread locals.
     * Designed to be called only from Thread constructor.
     *
     * @param  parentMap the map associated with parent thread
     * @return a map containing the parent's inheritable bindings
     */
    static ThreadLocalMap createInheritedMap(ThreadLocalMap parentMap) {
        return new ThreadLocalMap(parentMap);
    }

    /**
     * Method childValue is visibly defined in subclass
     * InheritableThreadLocal, but is internally defined here for the
     * sake of providing createInheritedMap factory method without
     * needing to subclass the map class in InheritableThreadLocal.
     * This technique is preferable to the alternative of embedding
     * instanceof tests in methods.
     */
    T childValue(T parentValue) {
        throw new UnsupportedOperationException();
    }

    /**
     * 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 from table.  Such entries are referred to
         * as "stale 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) {
                    ThreadLocal key = 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: <tt>log2(n)</tt> cells are scanned,
         * unless a stale entry is found, in which case
         * <tt>log2(table.length)-1</tt> 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);
            }
        }
    }
}


欢迎关注 高广超的简书博客 与 收藏文章 !
欢迎关注 头条号:互联网技术栈

个人介绍:

高广超 :多年一线互联网研发与架构设计经验,擅长设计与落地高可用、高性能互联网架构。目前就职于美团网,负责核心业务研发工作。

本文首发在 高广超的简书博客 转载请注明!

img_7015b3c64a6b1e4a95d4739adf2bbaa0.png
image.png

版权声明:本文内容由阿里云实名注册用户自发贡献,版权归原作者所有,阿里云开发者社区不拥有其著作权,亦不承担相应法律责任。具体规则请查看《阿里云开发者社区用户服务协议》和《阿里云开发者社区知识产权保护指引》。如果您发现本社区中有涉嫌抄袭的内容,填写侵权投诉表单进行举报,一经查实,本社区将立刻删除涉嫌侵权内容。

相关文章
Java ThreadPool 实现
前面我们已经介绍了 JDK 中常用的并发库(JUC)的使用方式, 本文我们着重介绍 JUC 中 ThreadPool 的实现方式。
23 0
Java_基础_02_ThreadLocal
      二、参考资料 1、ThreadLocal 那点事儿 2、彻底理解ThreadLocal
794 0
Java多线程中的ThreadLocal,可继承,可修改
Java多线程中的ThreadLocal,可继承,可修改。
2944 0
Java ThreadLocal使用
ThreadLocal类允许我们创建只能被同一个线程读写的变量。因此,如果一段代码含有一个ThreadLocal变量的引用,即使两个线程同时执行这段代码,它们也无法访问到对方的ThreadLocal变量。
667 0
java多线程之ThreadLocal
java中的java.lang.ThreadLocal,为解决多线程程序的并发问题提供了一种新的思路。使用这个工具类可以很简洁地编写出优美的多线程程序,ThreadLocal并不是一个Thread,而是Thread的局部变量。
1354 0
Java——ThreadLocal类
一,引入ThreadLocal /*测试ThreadLocal对象 * ThreadLocal:这个类提供了一个线程本地的变量。 * 这些变量在被共享访问的情况下在不同的线程里是独立的 ( 必须通过 get 和 set 方法来访问 ) 。
1531 0
理解java中的ThreadLocal 专题
ThreadLocal每一印象: public class IncrementWithStaticVariable{ private static int seqNum = 0; public int getNextNum(){ ...
669 0
+关注
高广超
高广超:多年一线互联网研发与架构设计经验,擅长设计与落地高可用、高性能、可扩展的互联网架构。目前从事大数据相关研发与架构工作。
78
文章
0
问答
文章排行榜
最热
最新
相关电子书
更多
低代码开发师(初级)实战教程
立即下载
阿里巴巴DevOps 最佳实践手册
立即下载
冬季实战营第三期:MySQL数据库进阶实战
立即下载