Java多线程系列--“JUC集合”05之 ConcurrentSkipListMap

概要

本章对Java.util.concurrent包中的ConcurrentSkipListMap类进行详细的介绍。内容包括：
ConcurrentSkipListMap介绍
ConcurrentSkipListMap原理和数据结构
ConcurrentSkipListMap函数列表
ConcurrentSkipListMap源码分析(JDK1.7.0_40版本)
ConcurrentSkipListMap示例

转载请注明出处：http://www.cnblogs.com/skywang12345/p/3498556.html

ConcurrentSkipListMap介绍

ConcurrentSkipListMap是线程安全的有序的哈希表，适用于高并发的场景。
ConcurrentSkipListMap和TreeMap，它们虽然都是有序的哈希表。但是，第一，它们的线程安全机制不同，TreeMap是非线程安全的，而ConcurrentSkipListMap是线程安全的。第二，ConcurrentSkipListMap是通过跳表实现的，而TreeMap是通过红黑树实现的。
关于跳表(Skip List)，它是平衡树的一种替代的数据结构，但是和红黑树不相同的是，跳表对于树的平衡的实现是基于一种随机化的算法的，这样也就是说跳表的插入和删除的工作是比较简单的。

ConcurrentSkipListMap原理和数据结构

ConcurrentSkipListMap的数据结构，如下图所示：

说明：

先以数据“7,14,21,32,37,71,85”序列为例，来对跳表进行简单说明。

跳表分为许多层(level)，每一层都可以看作是数据的索引，这些索引的意义就是加快跳表查找数据速度。每一层的数据都是有序的，上一层数据是下一层数据的子集，并且第一层(level 1)包含了全部的数据；层次越高，跳跃性越大，包含的数据越少。
跳表包含一个表头，它查找数据时，是从上往下，从左往右进行查找。现在“需要找出值为32的节点”为例，来对比说明跳表和普遍的链表。

情况1：链表中查找“32”节点
路径如下图1-02所示：

需要4步(红色部分表示路径)。

 

情况2：跳表中查找“32”节点
路径如下图1-03所示：

忽略索引垂直线路上路径的情况下，只需要2步(红色部分表示路径)。

下面说说Java中ConcurrentSkipListMap的数据结构。
(01) ConcurrentSkipListMap继承于AbstractMap类，也就意味着它是一个哈希表。
(02) Index是ConcurrentSkipListMap的内部类，它与“跳表中的索引相对应”。HeadIndex继承于Index，ConcurrentSkipListMap中含有一个HeadIndex的对象head，head是“跳表的表头”。
(03) Index是跳表中的索引，它包含“右索引的指针(right)”，“下索引的指针(down)”和“哈希表节点node”。node是Node的对象，Node也是ConcurrentSkipListMap中的内部类。

ConcurrentSkipListMap函数列表

// 构造一个新的空映射，该映射按照键的自然顺序进行排序。
ConcurrentSkipListMap()
// 构造一个新的空映射，该映射按照指定的比较器进行排序。
ConcurrentSkipListMap(Comparator<? super K> comparator)
// 构造一个新映射，该映射所包含的映射关系与给定映射包含的映射关系相同，并按照键的自然顺序进行排序。
ConcurrentSkipListMap(Map<? extends K,? extends V> m)
// 构造一个新映射，该映射所包含的映射关系与指定的有序映射包含的映射关系相同，使用的顺序也相同。
ConcurrentSkipListMap(SortedMap<K,? extends V> m)

// 返回与大于等于给定键的最小键关联的键-值映射关系；如果不存在这样的条目，则返回 null。
Map.Entry<K,V> ceilingEntry(K key)
// 返回大于等于给定键的最小键；如果不存在这样的键，则返回 null。
K ceilingKey(K key)
// 从此映射中移除所有映射关系。
void clear()
// 返回此 ConcurrentSkipListMap 实例的浅表副本。
ConcurrentSkipListMap<K,V> clone()
// 返回对此映射中的键进行排序的比较器；如果此映射使用键的自然顺序，则返回 null。
Comparator<? super K> comparator()
// 如果此映射包含指定键的映射关系，则返回 true。
boolean containsKey(Object key)
// 如果此映射为指定值映射一个或多个键，则返回 true。
boolean containsValue(Object value)
// 返回此映射中所包含键的逆序 NavigableSet 视图。
NavigableSet<K> descendingKeySet()
// 返回此映射中所包含映射关系的逆序视图。
ConcurrentNavigableMap<K,V> descendingMap()
// 返回此映射中所包含的映射关系的 Set 视图。
Set<Map.Entry<K,V>> entrySet()
// 比较指定对象与此映射的相等性。
boolean equals(Object o)
// 返回与此映射中的最小键关联的键-值映射关系；如果该映射为空，则返回 null。
Map.Entry<K,V> firstEntry()
// 返回此映射中当前第一个（最低）键。
K firstKey()
// 返回与小于等于给定键的最大键关联的键-值映射关系；如果不存在这样的键，则返回 null。
Map.Entry<K,V> floorEntry(K key)
// 返回小于等于给定键的最大键；如果不存在这样的键，则返回 null。
K floorKey(K key)
// 返回指定键所映射到的值；如果此映射不包含该键的映射关系，则返回 null。
V get(Object key)
// 返回此映射的部分视图，其键值严格小于 toKey。
ConcurrentNavigableMap<K,V> headMap(K toKey)
// 返回此映射的部分视图，其键小于（或等于，如果 inclusive 为 true）toKey。
ConcurrentNavigableMap<K,V> headMap(K toKey, boolean inclusive)
// 返回与严格大于给定键的最小键关联的键-值映射关系；如果不存在这样的键，则返回 null。
Map.Entry<K,V> higherEntry(K key)
// 返回严格大于给定键的最小键；如果不存在这样的键，则返回 null。
K higherKey(K key)
// 如果此映射未包含键-值映射关系，则返回 true。
boolean isEmpty()
// 返回此映射中所包含键的 NavigableSet 视图。
NavigableSet<K> keySet()
// 返回与此映射中的最大键关联的键-值映射关系；如果该映射为空，则返回 null。
Map.Entry<K,V> lastEntry()
// 返回映射中当前最后一个（最高）键。
K lastKey()
// 返回与严格小于给定键的最大键关联的键-值映射关系；如果不存在这样的键，则返回 null。
Map.Entry<K,V> lowerEntry(K key)
// 返回严格小于给定键的最大键；如果不存在这样的键，则返回 null。
K lowerKey(K key)
// 返回此映射中所包含键的 NavigableSet 视图。
NavigableSet<K> navigableKeySet()
// 移除并返回与此映射中的最小键关联的键-值映射关系；如果该映射为空，则返回 null。
Map.Entry<K,V> pollFirstEntry()
// 移除并返回与此映射中的最大键关联的键-值映射关系；如果该映射为空，则返回 null。
Map.Entry<K,V> pollLastEntry()
// 将指定值与此映射中的指定键关联。
V put(K key, V value)
// 如果指定键已经不再与某个值相关联，则将它与给定值关联。
V putIfAbsent(K key, V value)
// 从此映射中移除指定键的映射关系（如果存在）。
V remove(Object key)
// 只有目前将键的条目映射到给定值时，才移除该键的条目。
boolean remove(Object key, Object value)
// 只有目前将键的条目映射到某一值时，才替换该键的条目。
V replace(K key, V value)
// 只有目前将键的条目映射到给定值时，才替换该键的条目。
boolean replace(K key, V oldValue, V newValue)
// 返回此映射中的键-值映射关系数。
int size()
// 返回此映射的部分视图，其键的范围从 fromKey 到 toKey。
ConcurrentNavigableMap<K,V> subMap(K fromKey, boolean fromInclusive, K toKey, boolean toInclusive)
// 返回此映射的部分视图，其键值的范围从 fromKey（包括）到 toKey（不包括）。
ConcurrentNavigableMap<K,V> subMap(K fromKey, K toKey)
// 返回此映射的部分视图，其键大于等于 fromKey。
ConcurrentNavigableMap<K,V> tailMap(K fromKey)
// 返回此映射的部分视图，其键大于（或等于，如果 inclusive 为 true）fromKey。
ConcurrentNavigableMap<K,V> tailMap(K fromKey, boolean inclusive)
// 返回此映射中所包含值的 Collection 视图。
Collection<V> values()

ConcurrentSkipListMap源码分析(JDK1.7.0_40版本)

ConcurrentSkipListMap.java的完整源码如下：

/*
 * ORACLE PROPRIETARY/CONFIDENTIAL. Use is subject to license terms.
 *
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 */

/*
 *
 *
 *
 *
 *
 * Written by Doug Lea with assistance from members of JCP JSR-166
 * Expert Group and released to the public domain, as explained at
 * http://creativecommons.org/publicdomain/zero/1.0/
 */

package java.util.concurrent;
import java.util.*;
import java.util.concurrent.atomic.*;

/**
 * A scalable concurrent {@link ConcurrentNavigableMap} implementation.
 * The map is sorted according to the {@linkplain Comparable natural
 * ordering} of its keys, or by a {@link Comparator} provided at map
 * creation time, depending on which constructor is used.
 *
 * <p>This class implements a concurrent variant of <a
 * href="http://en.wikipedia.org/wiki/Skip_list" target="_top">SkipLists</a>
 * providing expected average <i>log(n)</i> time cost for the
 * <tt>containsKey</tt>, <tt>get</tt>, <tt>put</tt> and
 * <tt>remove</tt> operations and their variants.  Insertion, removal,
 * update, and access operations safely execute concurrently by
 * multiple threads.  Iterators are <i>weakly consistent</i>, returning
 * elements reflecting the state of the map at some point at or since
 * the creation of the iterator.  They do <em>not</em> throw {@link
 * ConcurrentModificationException}, and may proceed concurrently with
 * other operations. Ascending key ordered views and their iterators
 * are faster than descending ones.
 *
 * <p>All <tt>Map.Entry</tt> pairs returned by methods in this class
 * and its views represent snapshots of mappings at the time they were
 * produced. They do <em>not</em> support the <tt>Entry.setValue</tt>
 * method. (Note however that it is possible to change mappings in the
 * associated map using <tt>put</tt>, <tt>putIfAbsent</tt>, or
 * <tt>replace</tt>, depending on exactly which effect you need.)
 *
 * <p>Beware that, unlike in most collections, the <tt>size</tt>
 * method is <em>not</em> a constant-time operation. Because of the
 * asynchronous nature of these maps, determining the current number
 * of elements requires a traversal of the elements, and so may report
 * inaccurate results if this collection is modified during traversal.
 * Additionally, the bulk operations <tt>putAll</tt>, <tt>equals</tt>,
 * <tt>toArray</tt>, <tt>containsValue</tt>, and <tt>clear</tt> are
 * <em>not</em> guaranteed to be performed atomically. For example, an
 * iterator operating concurrently with a <tt>putAll</tt> operation
 * might view only some of the added elements.
 *
 * <p>This class and its views and iterators implement all of the
 * <em>optional</em> methods of the {@link Map} and {@link Iterator}
 * interfaces. Like most other concurrent collections, this class does
 * <em>not</em> permit the use of <tt>null</tt> keys or values because some
 * null return values cannot be reliably distinguished from the absence of
 * elements.
 *
 * <p>This class is a member of the
 * <a href="{@docRoot}/../technotes/guides/collections/index.html">
 * Java Collections Framework</a>.
 *
 * @author Doug Lea
 * @param <K> the type of keys maintained by this map
 * @param <V> the type of mapped values
 * @since 1.6
 */
public class ConcurrentSkipListMap<K,V> extends AbstractMap<K,V>
    implements ConcurrentNavigableMap<K,V>,
               Cloneable,
               java.io.Serializable {
    /*
     * This class implements a tree-like two-dimensionally linked skip
     * list in which the index levels are represented in separate
     * nodes from the base nodes holding data.  There are two reasons
     * for taking this approach instead of the usual array-based
     * structure: 1) Array based implementations seem to encounter
     * more complexity and overhead 2) We can use cheaper algorithms
     * for the heavily-traversed index lists than can be used for the
     * base lists.  Here's a picture of some of the basics for a
     * possible list with 2 levels of index:
     *
     * Head nodes          Index nodes
     * +-+    right        +-+                      +-+
     * |2|---------------->| |--------------------->| |->null
     * +-+                 +-+                      +-+
     *  | down              |                        |
     *  v                   v                        v
     * +-+            +-+  +-+       +-+            +-+       +-+
     * |1|----------->| |->| |------>| |----------->| |------>| |->null
     * +-+            +-+  +-+       +-+            +-+       +-+
     *  v              |    |         |              |         |
     * Nodes  next     v    v         v              v         v
     * +-+  +-+  +-+  +-+  +-+  +-+  +-+  +-+  +-+  +-+  +-+  +-+
     * | |->|A|->|B|->|C|->|D|->|E|->|F|->|G|->|H|->|I|->|J|->|K|->null
     * +-+  +-+  +-+  +-+  +-+  +-+  +-+  +-+  +-+  +-+  +-+  +-+
     *
     * The base lists use a variant of the HM linked ordered set
     * algorithm. See Tim Harris, "A pragmatic implementation of
     * non-blocking linked lists"
     * http://www.cl.cam.ac.uk/~tlh20/publications.html and Maged
     * Michael "High Performance Dynamic Lock-Free Hash Tables and
     * List-Based Sets"
     * http://www.research.ibm.com/people/m/michael/pubs.htm.  The
     * basic idea in these lists is to mark the "next" pointers of
     * deleted nodes when deleting to avoid conflicts with concurrent
     * insertions, and when traversing to keep track of triples
     * (predecessor, node, successor) in order to detect when and how
     * to unlink these deleted nodes.
     *
     * Rather than using mark-bits to mark list deletions (which can
     * be slow and space-intensive using AtomicMarkedReference), nodes
     * use direct CAS'able next pointers.  On deletion, instead of
     * marking a pointer, they splice in another node that can be
     * thought of as standing for a marked pointer (indicating this by
     * using otherwise impossible field values).  Using plain nodes
     * acts roughly like "boxed" implementations of marked pointers,
     * but uses new nodes only when nodes are deleted, not for every
     * link.  This requires less space and supports faster
     * traversal. Even if marked references were better supported by
     * JVMs, traversal using this technique might still be faster
     * because any search need only read ahead one more node than
     * otherwise required (to check for trailing marker) rather than
     * unmasking mark bits or whatever on each read.
     *
     * This approach maintains the essential property needed in the HM
     * algorithm of changing the next-pointer of a deleted node so
     * that any other CAS of it will fail, but implements the idea by
     * changing the pointer to point to a different node, not by
     * marking it.  While it would be possible to further squeeze
     * space by defining marker nodes not to have key/value fields, it
     * isn't worth the extra type-testing overhead.  The deletion
     * markers are rarely encountered during traversal and are
     * normally quickly garbage collected. (Note that this technique
     * would not work well in systems without garbage collection.)
     *
     * In addition to using deletion markers, the lists also use
     * nullness of value fields to indicate deletion, in a style
     * similar to typical lazy-deletion schemes.  If a node's value is
     * null, then it is considered logically deleted and ignored even
     * though it is still reachable. This maintains proper control of
     * concurrent replace vs delete operations -- an attempted replace
     * must fail if a delete beat it by nulling field, and a delete
     * must return the last non-null value held in the field. (Note:
     * Null, rather than some special marker, is used for value fields
     * here because it just so happens to mesh with the Map API
     * requirement that method get returns null if there is no
     * mapping, which allows nodes to remain concurrently readable
     * even when deleted. Using any other marker value here would be
     * messy at best.)
     *
     * Here's the sequence of events for a deletion of node n with
     * predecessor b and successor f, initially:
     *
     *        +------+       +------+      +------+
     *   ...  |   b  |------>|   n  |----->|   f  | ...
     *        +------+       +------+      +------+
     *
     * 1. CAS n's value field from non-null to null.
     *    From this point on, no public operations encountering
     *    the node consider this mapping to exist. However, other
     *    ongoing insertions and deletions might still modify
     *    n's next pointer.
     *
     * 2. CAS n's next pointer to point to a new marker node.
     *    From this point on, no other nodes can be appended to n.
     *    which avoids deletion errors in CAS-based linked lists.
     *
     *        +------+       +------+      +------+       +------+
     *   ...  |   b  |------>|   n  |----->|marker|------>|   f  | ...
     *        +------+       +------+      +------+       +------+
     *
     * 3. CAS b's next pointer over both n and its marker.
     *    From this point on, no new traversals will encounter n,
     *    and it can eventually be GCed.
     *        +------+                                    +------+
     *   ...  |   b  |----------------------------------->|   f  | ...
     *        +------+                                    +------+
     *
     * A failure at step 1 leads to simple retry due to a lost race
     * with another operation. Steps 2-3 can fail because some other
     * thread noticed during a traversal a node with null value and
     * helped out by marking and/or unlinking.  This helping-out
     * ensures that no thread can become stuck waiting for progress of
     * the deleting thread.  The use of marker nodes slightly
     * complicates helping-out code because traversals must track
     * consistent reads of up to four nodes (b, n, marker, f), not
     * just (b, n, f), although the next field of a marker is
     * immutable, and once a next field is CAS'ed to point to a
     * marker, it never again changes, so this requires less care.
     *
     * Skip lists add indexing to this scheme, so that the base-level
     * traversals start close to the locations being found, inserted
     * or deleted -- usually base level traversals only traverse a few
     * nodes. This doesn't change the basic algorithm except for the
     * need to make sure base traversals start at predecessors (here,
     * b) that are not (structurally) deleted, otherwise retrying
     * after processing the deletion.
     *
     * Index levels are maintained as lists with volatile next fields,
     * using CAS to link and unlink.  Races are allowed in index-list
     * operations that can (rarely) fail to link in a new index node
     * or delete one. (We can't do this of course for data nodes.)
     * However, even when this happens, the index lists remain sorted,
     * so correctly serve as indices.  This can impact performance,
     * but since skip lists are probabilistic anyway, the net result
     * is that under contention, the effective "p" value may be lower
     * than its nominal value. And race windows are kept small enough
     * that in practice these failures are rare, even under a lot of
     * contention.
     *
     * The fact that retries (for both base and index lists) are
     * relatively cheap due to indexing allows some minor
     * simplifications of retry logic. Traversal restarts are
     * performed after most "helping-out" CASes. This isn't always
     * strictly necessary, but the implicit backoffs tend to help
     * reduce other downstream failed CAS's enough to outweigh restart
     * cost.  This worsens the worst case, but seems to improve even
     * highly contended cases.
     *
     * Unlike most skip-list implementations, index insertion and
     * deletion here require a separate traversal pass occuring after
     * the base-level action, to add or remove index nodes.  This adds
     * to single-threaded overhead, but improves contended
     * multithreaded performance by narrowing interference windows,
     * and allows deletion to ensure that all index nodes will be made
     * unreachable upon return from a public remove operation, thus
     * avoiding unwanted garbage retention. This is more important
     * here than in some other data structures because we cannot null
     * out node fields referencing user keys since they might still be
     * read by other ongoing traversals.
     *
     * Indexing uses skip list parameters that maintain good search
     * performance while using sparser-than-usual indices: The
     * hardwired parameters k=1, p=0.5 (see method randomLevel) mean
     * that about one-quarter of the nodes have indices. Of those that
     * do, half have one level, a quarter have two, and so on (see
     * Pugh's Skip List Cookbook, sec 3.4).  The expected total space
     * requirement for a map is slightly less than for the current
     * implementation of java.util.TreeMap.
     *
     * Changing the level of the index (i.e, the height of the
     * tree-like structure) also uses CAS. The head index has initial
     * level/height of one. Creation of an index with height greater
     * than the current level adds a level to the head index by
     * CAS'ing on a new top-most head. To maintain good performance
     * after a lot of removals, deletion methods heuristically try to
     * reduce the height if the topmost levels appear to be empty.
     * This may encounter races in which it possible (but rare) to
     * reduce and "lose" a level just as it is about to contain an
     * index (that will then never be encountered). This does no
     * structural harm, and in practice appears to be a better option
     * than allowing unrestrained growth of levels.
     *
     * The code for all this is more verbose than you'd like. Most
     * operations entail locating an element (or position to insert an
     * element). The code to do this can't be nicely factored out
     * because subsequent uses require a snapshot of predecessor
     * and/or successor and/or value fields which can't be returned
     * all at once, at least not without creating yet another object
     * to hold them -- creating such little objects is an especially
     * bad idea for basic internal search operations because it adds
     * to GC overhead.  (This is one of the few times I've wished Java
     * had macros.) Instead, some traversal code is interleaved within
     * insertion and removal operations.  The control logic to handle
     * all the retry conditions is sometimes twisty. Most search is
     * broken into 2 parts. findPredecessor() searches index nodes
     * only, returning a base-level predecessor of the key. findNode()
     * finishes out the base-level search. Even with this factoring,
     * there is a fair amount of near-duplication of code to handle
     * variants.
     *
     * For explanation of algorithms sharing at least a couple of
     * features with this one, see Mikhail Fomitchev's thesis
     * (http://www.cs.yorku.ca/~mikhail/), Keir Fraser's thesis
     * (http://www.cl.cam.ac.uk/users/kaf24/), and Hakan Sundell's
     * thesis (http://www.cs.chalmers.se/~phs/).
     *
     * Given the use of tree-like index nodes, you might wonder why
     * this doesn't use some kind of search tree instead, which would
     * support somewhat faster search operations. The reason is that
     * there are no known efficient lock-free insertion and deletion
     * algorithms for search trees. The immutability of the "down"
     * links of index nodes (as opposed to mutable "left" fields in
     * true trees) makes this tractable using only CAS operations.
     *
     * Notation guide for local variables
     * Node:         b, n, f    for  predecessor, node, successor
     * Index:        q, r, d    for index node, right, down.
     *               t          for another index node
     * Head:         h
     * Levels:       j
     * Keys:         k, key
     * Values:       v, value
     * Comparisons:  c
     */

    private static final long serialVersionUID = -8627078645895051609L;

    /**
     * Generates the initial random seed for the cheaper per-instance
     * random number generators used in randomLevel.
     */
    private static final Random seedGenerator = new Random();

    /**
     * Special value used to identify base-level header
     */
    private static final Object BASE_HEADER = new Object();

    /**
     * The topmost head index of the skiplist.
     */
    private transient volatile HeadIndex<K,V> head;

    /**
     * The comparator used to maintain order in this map, or null
     * if using natural ordering.
     * @serial
     */
    private final Comparator<? super K> comparator;

    /**
     * Seed for simple random number generator.  Not volatile since it
     * doesn't matter too much if different threads don't see updates.
     */
    private transient int randomSeed;

    /** Lazily initialized key set */
    private transient KeySet keySet;
    /** Lazily initialized entry set */
    private transient EntrySet entrySet;
    /** Lazily initialized values collection */
    private transient Values values;
    /** Lazily initialized descending key set */
    private transient ConcurrentNavigableMap<K,V> descendingMap;

    /**
     * Initializes or resets state. Needed by constructors, clone,
     * clear, readObject. and ConcurrentSkipListSet.clone.
     * (Note that comparator must be separately initialized.)
     */
    final void initialize() {
        keySet = null;
        entrySet = null;
        values = null;
        descendingMap = null;
        randomSeed = seedGenerator.nextInt() | 0x0100; // ensure nonzero
        head = new HeadIndex<K,V>(new Node<K,V>(null, BASE_HEADER, null),
                                  null, null, 1);
    }

    /**
     * compareAndSet head node
     */
    private boolean casHead(HeadIndex<K,V> cmp, HeadIndex<K,V> val) {
        return UNSAFE.compareAndSwapObject(this, headOffset, cmp, val);
    }

    /* ---------------- Nodes -------------- */

    /**
     * Nodes hold keys and values, and are singly linked in sorted
     * order, possibly with some intervening marker nodes. The list is
     * headed by a dummy node accessible as head.node. The value field
     * is declared only as Object because it takes special non-V
     * values for marker and header nodes.
     */
    static final class Node<K,V> {
        final K key;
        volatile Object value;
        volatile Node<K,V> next;

        /**
         * Creates a new regular node.
         */
        Node(K key, Object value, Node<K,V> next) {
            this.key = key;
            this.value = value;
            this.next = next;
        }

        /**
         * Creates a new marker node. A marker is distinguished by
         * having its value field point to itself.  Marker nodes also
         * have null keys, a fact that is exploited in a few places,
         * but this doesn't distinguish markers from the base-level
         * header node (head.node), which also has a null key.
         */
        Node(Node<K,V> next) {
            this.key = null;
            this.value = this;
            this.next = next;
        }

        /**
         * compareAndSet value field
         */
        boolean casValue(Object cmp, Object val) {
            return UNSAFE.compareAndSwapObject(this, valueOffset, cmp, val);
        }

        /**
         * compareAndSet next field
         */
        boolean casNext(Node<K,V> cmp, Node<K,V> val) {
            return UNSAFE.compareAndSwapObject(this, nextOffset, cmp, val);
        }

        /**
         * Returns true if this node is a marker. This method isn't
         * actually called in any current code checking for markers
         * because callers will have already read value field and need
         * to use that read (not another done here) and so directly
         * test if value points to node.
         * @param n a possibly null reference to a node
         * @return true if this node is a marker node
         */
        boolean isMarker() {
            return value == this;
        }

        /**
         * Returns true if this node is the header of base-level list.
         * @return true if this node is header node
         */
        boolean isBaseHeader() {
            return value == BASE_HEADER;
        }

        /**
         * Tries to append a deletion marker to this node.
         * @param f the assumed current successor of this node
         * @return true if successful
         */
        boolean appendMarker(Node<K,V> f) {
            return casNext(f, new Node<K,V>(f));
        }

        /**
         * Helps out a deletion by appending marker or unlinking from
         * predecessor. This is called during traversals when value
         * field seen to be null.
         * @param b predecessor
         * @param f successor
         */
        void helpDelete(Node<K,V> b, Node<K,V> f) {
            /*
             * Rechecking links and then doing only one of the
             * help-out stages per call tends to minimize CAS
             * interference among helping threads.
             */
            if (f == next && this == b.next) {
                if (f == null || f.value != f) // not already marked
                    appendMarker(f);
                else
                    b.casNext(this, f.next);
            }
        }

        /**
         * Returns value if this node contains a valid key-value pair,
         * else null.
         * @return this node's value if it isn't a marker or header or
         * is deleted, else null.
         */
        V getValidValue() {
            Object v = value;
            if (v == this || v == BASE_HEADER)
                return null;
            return (V)v;
        }

        /**
         * Creates and returns a new SimpleImmutableEntry holding current
         * mapping if this node holds a valid value, else null.
         * @return new entry or null
         */
        AbstractMap.SimpleImmutableEntry<K,V> createSnapshot() {
            V v = getValidValue();
            if (v == null)
                return null;
            return new AbstractMap.SimpleImmutableEntry<K,V>(key, v);
        }

        // UNSAFE mechanics

        private static final sun.misc.Unsafe UNSAFE;
        private static final long valueOffset;
        private static final long nextOffset;

        static {
            try {
                UNSAFE = sun.misc.Unsafe.getUnsafe();
                Class k = Node.class;
                valueOffset = UNSAFE.objectFieldOffset
                    (k.getDeclaredField("value"));
                nextOffset = UNSAFE.objectFieldOffset
                    (k.getDeclaredField("next"));
            } catch (Exception e) {
                throw new Error(e);
            }
        }
    }

    /* ---------------- Indexing -------------- */

    /**
     * Index nodes represent the levels of the skip list.  Note that
     * even though both Nodes and Indexes have forward-pointing
     * fields, they have different types and are handled in different
     * ways, that can't nicely be captured by placing field in a
     * shared abstract class.
     */
    static class Index<K,V> {
        final Node<K,V> node;
        final Index<K,V> down;
        volatile Index<K,V> right;

        /**
         * Creates index node with given values.
         */
        Index(Node<K,V> node, Index<K,V> down, Index<K,V> right) {
            this.node = node;
            this.down = down;
            this.right = right;
        }

        /**
         * compareAndSet right field
         */
        final boolean casRight(Index<K,V> cmp, Index<K,V> val) {
            return UNSAFE.compareAndSwapObject(this, rightOffset, cmp, val);
        }

        /**
         * Returns true if the node this indexes has been deleted.
         * @return true if indexed node is known to be deleted
         */
        final boolean indexesDeletedNode() {
            return node.value == null;
        }

        /**
         * Tries to CAS newSucc as successor.  To minimize races with
         * unlink that may lose this index node, if the node being
         * indexed is known to be deleted, it doesn't try to link in.
         * @param succ the expected current successor
         * @param newSucc the new successor
         * @return true if successful
         */
        final boolean link(Index<K,V> succ, Index<K,V> newSucc) {
            Node<K,V> n = node;
            newSucc.right = succ;
            return n.value != null && casRight(succ, newSucc);
        }

        /**
         * Tries to CAS right field to skip over apparent successor
         * succ.  Fails (forcing a retraversal by caller) if this node
         * is known to be deleted.
         * @param succ the expected current successor
         * @return true if successful
         */
        final boolean unlink(Index<K,V> succ) {
            return !indexesDeletedNode() && casRight(succ, succ.right);
        }

        // Unsafe mechanics
        private static final sun.misc.Unsafe UNSAFE;
        private static final long rightOffset;
        static {
            try {
                UNSAFE = sun.misc.Unsafe.getUnsafe();
                Class k = Index.class;
                rightOffset = UNSAFE.objectFieldOffset
                    (k.getDeclaredField("right"));
            } catch (Exception e) {
                throw new Error(e);
            }
        }
    }

    /* ---------------- Head nodes -------------- */

    /**
     * Nodes heading each level keep track of their level.
     */
    static final class HeadIndex<K,V> extends Index<K,V> {
        final int level;
        HeadIndex(Node<K,V> node, Index<K,V> down, Index<K,V> right, int level) {
            super(node, down, right);
            this.level = level;
        }
    }

    /* ---------------- Comparison utilities -------------- */

    /**
     * Represents a key with a comparator as a Comparable.
     *
     * Because most sorted collections seem to use natural ordering on
     * Comparables (Strings, Integers, etc), most internal methods are
     * geared to use them. This is generally faster than checking
     * per-comparison whether to use comparator or comparable because
     * it doesn't require a (Comparable) cast for each comparison.
     * (Optimizers can only sometimes remove such redundant checks
     * themselves.) When Comparators are used,
     * ComparableUsingComparators are created so that they act in the
     * same way as natural orderings. This penalizes use of
     * Comparators vs Comparables, which seems like the right
     * tradeoff.
     */
    static final class ComparableUsingComparator<K> implements Comparable<K> {
        final K actualKey;
        final Comparator<? super K> cmp;
        ComparableUsingComparator(K key, Comparator<? super K> cmp) {
            this.actualKey = key;
            this.cmp = cmp;
        }
        public int compareTo(K k2) {
            return cmp.compare(actualKey, k2);
        }
    }

    /**
     * If using comparator, return a ComparableUsingComparator, else
     * cast key as Comparable, which may cause ClassCastException,
     * which is propagated back to caller.
     */
    private Comparable<? super K> comparable(Object key)
            throws ClassCastException {
        if (key == null)
            throw new NullPointerException();
        if (comparator != null)
            return new ComparableUsingComparator<K>((K)key, comparator);
        else
            return (Comparable<? super K>)key;
    }

    /**
     * Compares using comparator or natural ordering. Used when the
     * ComparableUsingComparator approach doesn't apply.
     */
    int compare(K k1, K k2) throws ClassCastException {
        Comparator<? super K> cmp = comparator;
        if (cmp != null)
            return cmp.compare(k1, k2);
        else
            return ((Comparable<? super K>)k1).compareTo(k2);
    }

    /**
     * Returns true if given key greater than or equal to least and
     * strictly less than fence, bypassing either test if least or
     * fence are null. Needed mainly in submap operations.
     */
    boolean inHalfOpenRange(K key, K least, K fence) {
        if (key == null)
            throw new NullPointerException();
        return ((least == null || compare(key, least) >= 0) &&
                (fence == null || compare(key, fence) <  0));
    }

    /**
     * Returns true if given key greater than or equal to least and less
     * or equal to fence. Needed mainly in submap operations.
     */
    boolean inOpenRange(K key, K least, K fence) {
        if (key == null)
            throw new NullPointerException();
        return ((least == null || compare(key, least) >= 0) &&
                (fence == null || compare(key, fence) <= 0));
    }

    /* ---------------- Traversal -------------- */

    /**
     * Returns a base-level node with key strictly less than given key,
     * or the base-level header if there is no such node.  Also
     * unlinks indexes to deleted nodes found along the way.  Callers
     * rely on this side-effect of clearing indices to deleted nodes.
     * @param key the key
     * @return a predecessor of key
     */
    private Node<K,V> findPredecessor(Comparable<? super K> key) {
        if (key == null)
            throw new NullPointerException(); // don't postpone errors
        for (;;) {
            Index<K,V> q = head;
            Index<K,V> r = q.right;
            for (;;) {
                if (r != null) {
                    Node<K,V> n = r.node;
                    K k = n.key;
                    if (n.value == null) {
                        if (!q.unlink(r))
                            break;           // restart
                        r = q.right;         // reread r
                        continue;
                    }
                    if (key.compareTo(k) > 0) {
                        q = r;
                        r = r.right;
                        continue;
                    }
                }
                Index<K,V> d = q.down;
                if (d != null) {
                    q = d;
                    r = d.right;
                } else
                    return q.node;
            }
        }
    }

    /**
     * Returns node holding key or null if no such, clearing out any
     * deleted nodes seen along the way.  Repeatedly traverses at
     * base-level looking for key starting at predecessor returned
     * from findPredecessor, processing base-level deletions as
     * encountered. Some callers rely on this side-effect of clearing
     * deleted nodes.
     *
     * Restarts occur, at traversal step centered on node n, if:
     *
     *   (1) After reading n's next field, n is no longer assumed
     *       predecessor b's current successor, which means that
     *       we don't have a consistent 3-node snapshot and so cannot
     *       unlink any subsequent deleted nodes encountered.
     *
     *   (2) n's value field is null, indicating n is deleted, in
     *       which case we help out an ongoing structural deletion
     *       before retrying.  Even though there are cases where such
     *       unlinking doesn't require restart, they aren't sorted out
     *       here because doing so would not usually outweigh cost of
     *       restarting.
     *
     *   (3) n is a marker or n's predecessor's value field is null,
     *       indicating (among other possibilities) that
     *       findPredecessor returned a deleted node. We can't unlink
     *       the node because we don't know its predecessor, so rely
     *       on another call to findPredecessor to notice and return
     *       some earlier predecessor, which it will do. This check is
     *       only strictly needed at beginning of loop, (and the
     *       b.value check isn't strictly needed at all) but is done
     *       each iteration to help avoid contention with other
     *       threads by callers that will fail to be able to change
     *       links, and so will retry anyway.
     *
     * The traversal loops in doPut, doRemove, and findNear all
     * include the same three kinds of checks. And specialized
     * versions appear in findFirst, and findLast and their
     * variants. They can't easily share code because each uses the
     * reads of fields held in locals occurring in the orders they
     * were performed.
     *
     * @param key the key
     * @return node holding key, or null if no such
     */
    private Node<K,V> findNode(Comparable<? super K> key) {
        for (;;) {
            Node<K,V> b = findPredecessor(key);
            Node<K,V> n = b.next;
            for (;;) {
                if (n == null)
                    return null;
                Node<K,V> f = n.next;
                if (n != b.next)                // inconsistent read
                    break;
                Object v = n.value;
                if (v == null) {                // n is deleted
                    n.helpDelete(b, f);
                    break;
                }
                if (v == n || b.value == null)  // b is deleted
                    break;
                int c = key.compareTo(n.key);
                if (c == 0)
                    return n;
                if (c < 0)
                    return null;
                b = n;
                n = f;
            }
        }
    }

    /**
     * Gets value for key using findNode.
     * @param okey the key
     * @return the value, or null if absent
     */
    private V doGet(Object okey) {
        Comparable<? super K> key = comparable(okey);
        /*
         * Loop needed here and elsewhere in case value field goes
         * null just as it is about to be returned, in which case we
         * lost a race with a deletion, so must retry.
         */
        for (;;) {
            Node<K,V> n = findNode(key);
            if (n == null)
                return null;
            Object v = n.value;
            if (v != null)
                return (V)v;
        }
    }

    /* ---------------- Insertion -------------- */

    /**
     * Main insertion method.  Adds element if not present, or
     * replaces value if present and onlyIfAbsent is false.
     * @param kkey the key
     * @param value  the value that must be associated with key
     * @param onlyIfAbsent if should not insert if already present
     * @return the old value, or null if newly inserted
     */
    private V doPut(K kkey, V value, boolean onlyIfAbsent) {
        Comparable<? super K> key = comparable(kkey);
        for (;;) {
            Node<K,V> b = findPredecessor(key);
            Node<K,V> n = b.next;
            for (;;) {
                if (n != null) {
                    Node<K,V> f = n.next;
                    if (n != b.next)               // inconsistent read
                        break;
                    Object v = n.value;
                    if (v == null) {               // n is deleted
                        n.helpDelete(b, f);
                        break;
                    }
                    if (v == n || b.value == null) // b is deleted
                        break;
                    int c = key.compareTo(n.key);
                    if (c > 0) {
                        b = n;
                        n = f;
                        continue;
                    }
                    if (c == 0) {
                        if (onlyIfAbsent || n.casValue(v, value))
                            return (V)v;
                        else
                            break; // restart if lost race to replace value
                    }
                    // else c < 0; fall through
                }

                Node<K,V> z = new Node<K,V>(kkey, value, n);
                if (!b.casNext(n, z))
                    break;         // restart if lost race to append to b
                int level = randomLevel();
                if (level > 0)
                    insertIndex(z, level);
                return null;
            }
        }
    }

    /**
     * Returns a random level for inserting a new node.
     * Hardwired to k=1, p=0.5, max 31 (see above and
     * Pugh's "Skip List Cookbook", sec 3.4).
     *
     * This uses the simplest of the generators described in George
     * Marsaglia's "Xorshift RNGs" paper.  This is not a high-quality
     * generator but is acceptable here.
     */
    private int randomLevel() {
        int x = randomSeed;
        x ^= x << 13;
        x ^= x >>> 17;
        randomSeed = x ^= x << 5;
        if ((x & 0x80000001) != 0) // test highest and lowest bits
            return 0;
        int level = 1;
        while (((x >>>= 1) & 1) != 0) ++level;
        return level;
    }

    /**
     * Creates and adds index nodes for the given node.
     * @param z the node
     * @param level the level of the index
     */
    private void insertIndex(Node<K,V> z, int level) {
        HeadIndex<K,V> h = head;
        int max = h.level;

        if (level <= max) {
            Index<K,V> idx = null;
            for (int i = 1; i <= level; ++i)
                idx = new Index<K,V>(z, idx, null);
            addIndex(idx, h, level);

        } else { // Add a new level
            /*
             * To reduce interference by other threads checking for
             * empty levels in tryReduceLevel, new levels are added
             * with initialized right pointers. Which in turn requires
             * keeping levels in an array to access them while
             * creating new head index nodes from the opposite
             * direction.
             */
            level = max + 1;
            Index<K,V>[] idxs = (Index<K,V>[])new Index[level+1];
            Index<K,V> idx = null;
            for (int i = 1; i <= level; ++i)
                idxs[i] = idx = new Index<K,V>(z, idx, null);

            HeadIndex<K,V> oldh;
            int k;
            for (;;) {
                oldh = head;
                int oldLevel = oldh.level;
                if (level <= oldLevel) { // lost race to add level
                    k = level;
                    break;
                }
                HeadIndex<K,V> newh = oldh;
                Node<K,V> oldbase = oldh.node;
                for (int j = oldLevel+1; j <= level; ++j)
                    newh = new HeadIndex<K,V>(oldbase, newh, idxs[j], j);
                if (casHead(oldh, newh)) {
                    k = oldLevel;
                    break;
                }
            }
            addIndex(idxs[k], oldh, k);
        }
    }

    /**
     * Adds given index nodes from given level down to 1.
     * @param idx the topmost index node being inserted
     * @param h the value of head to use to insert. This must be
     * snapshotted by callers to provide correct insertion level
     * @param indexLevel the level of the index
     */
    private void addIndex(Index<K,V> idx, HeadIndex<K,V> h, int indexLevel) {
        // Track next level to insert in case of retries
        int insertionLevel = indexLevel;
        Comparable<? super K> key = comparable(idx.node.key);
        if (key == null) throw new NullPointerException();

        // Similar to findPredecessor, but adding index nodes along
        // path to key.
        for (;;) {
            int j = h.level;
            Index<K,V> q = h;
            Index<K,V> r = q.right;
            Index<K,V> t = idx;
            for (;;) {
                if (r != null) {
                    Node<K,V> n = r.node;
                    // compare before deletion check avoids needing recheck
                    int c = key.compareTo(n.key);
                    if (n.value == null) {
                        if (!q.unlink(r))
                            break;
                        r = q.right;
                        continue;
                    }
                    if (c > 0) {
                        q = r;
                        r = r.right;
                        continue;
                    }
                }

                if (j == insertionLevel) {
                    // Don't insert index if node already deleted
                    if (t.indexesDeletedNode()) {
                        findNode(key); // cleans up
                        return;
                    }
                    if (!q.link(r, t))
                        break; // restart
                    if (--insertionLevel == 0) {
                        // need final deletion check before return
                        if (t.indexesDeletedNode())
                            findNode(key);
                        return;
                    }
                }

                if (--j >= insertionLevel && j < indexLevel)
                    t = t.down;
                q = q.down;
                r = q.right;
            }
        }
    }

    /* ---------------- Deletion -------------- */

    /**
     * Main deletion method. Locates node, nulls value, appends a
     * deletion marker, unlinks predecessor, removes associated index
     * nodes, and possibly reduces head index level.
     *
     * Index nodes are cleared out simply by calling findPredecessor.
     * which unlinks indexes to deleted nodes found along path to key,
     * which will include the indexes to this node.  This is done
     * unconditionally. We can't check beforehand whether there are
     * index nodes because it might be the case that some or all
     * indexes hadn't been inserted yet for this node during initial
     * search for it, and we'd like to ensure lack of garbage
     * retention, so must call to be sure.
     *
     * @param okey the key
     * @param value if non-null, the value that must be
     * associated with key
     * @return the node, or null if not found
     */
    final V doRemove(Object okey, Object value) {
        Comparable<? super K> key = comparable(okey);
        for (;;) {
            Node<K,V> b = findPredecessor(key);
            Node<K,V> n = b.next;
            for (;;) {
                if (n == null)
                    return null;
                Node<K,V> f = n.next;
                if (n != b.next)                    // inconsistent read
                    break;
                Object v = n.value;
                if (v == null) {                    // n is deleted
                    n.helpDelete(b, f);
                    break;
                }
                if (v == n || b.value == null)      // b is deleted
                    break;
                int c = key.compareTo(n.key);
                if (c < 0)
                    return null;
                if (c > 0) {
                    b = n;
                    n = f;
                    continue;
                }
                if (value != null && !value.equals(v))
                    return null;
                if (!n.casValue(v, null))
                    break;
                if (!n.appendMarker(f) || !b.casNext(n, f))
                    findNode(key);                  // Retry via findNode
                else {
                    findPredecessor(key);           // Clean index
                    if (head.right == null)
                        tryReduceLevel();
                }
                return (V)v;
            }
        }
    }

    /**
     * Possibly reduce head level if it has no nodes.  This method can
     * (rarely) make mistakes, in which case levels can disappear even
     * though they are about to contain index nodes. This impacts
     * performance, not correctness.  To minimize mistakes as well as
     * to reduce hysteresis, the level is reduced by one only if the
     * topmost three levels look empty. Also, if the removed level
     * looks non-empty after CAS, we try to change it back quick
     * before anyone notices our mistake! (This trick works pretty
     * well because this method will practically never make mistakes
     * unless current thread stalls immediately before first CAS, in
     * which case it is very unlikely to stall again immediately
     * afterwards, so will recover.)
     *
     * We put up with all this rather than just let levels grow
     * because otherwise, even a small map that has undergone a large
     * number of insertions and removals will have a lot of levels,
     * slowing down access more than would an occasional unwanted
     * reduction.
     */
    private void tryReduceLevel() {
        HeadIndex<K,V> h = head;
        HeadIndex<K,V> d;
        HeadIndex<K,V> e;
        if (h.level > 3 &&
            (d = (HeadIndex<K,V>)h.down) != null &&
            (e = (HeadIndex<K,V>)d.down) != null &&
            e.right == null &&
            d.right == null &&
            h.right == null &&
            casHead(h, d) && // try to set
            h.right != null) // recheck
            casHead(d, h);   // try to backout
    }

    /* ---------------- Finding and removing first element -------------- */

    /**
     * Specialized variant of findNode to get first valid node.
     * @return first node or null if empty
     */
    Node<K,V> findFirst() {
        for (;;) {
            Node<K,V> b = head.node;
            Node<K,V> n = b.next;
            if (n == null)
                return null;
            if (n.value != null)
                return n;
            n.helpDelete(b, n.next);
        }
    }

    /**
     * Removes first entry; returns its snapshot.
     * @return null if empty, else snapshot of first entry
     */
    Map.Entry<K,V> doRemoveFirstEntry() {
        for (;;) {
            Node<K,V> b = head.node;
            Node<K,V> n = b.next;
            if (n == null)
                return null;
            Node<K,V> f = n.next;
            if (n != b.next)
                continue;
            Object v = n.value;
            if (v == null) {
                n.helpDelete(b, f);
                continue;
            }
            if (!n.casValue(v, null))
                continue;
            if (!n.appendMarker(f) || !b.casNext(n, f))
                findFirst(); // retry
            clearIndexToFirst();
            return new AbstractMap.SimpleImmutableEntry<K,V>(n.key, (V)v);
        }
    }

    /**
     * Clears out index nodes associated with deleted first entry.
     */
    private void clearIndexToFirst() {
        for (;;) {
            Index<K,V> q = head;
            for (;;) {
                Index<K,V> r = q.right;
                if (r != null && r.indexesDeletedNode() && !q.unlink(r))
                    break;
                if ((q = q.down) == null) {
                    if (head.right == null)
                        tryReduceLevel();
                    return;
                }
            }
        }
    }


    /* ---------------- Finding and removing last element -------------- */

    /**
     * Specialized version of find to get last valid node.
     * @return last node or null if empty
     */
    Node<K,V> findLast() {
        /*
         * findPredecessor can't be used to traverse index level
         * because this doesn't use comparisons.  So traversals of
         * both levels are folded together.
         */
        Index<K,V> q = head;
        for (;;) {
            Index<K,V> d, r;
            if ((r = q.right) != null) {
                if (r.indexesDeletedNode()) {
                    q.unlink(r);
                    q = head; // restart
                }
                else
                    q = r;
            } else if ((d = q.down) != null) {
                q = d;
            } else {
                Node<K,V> b = q.node;
                Node<K,V> n = b.next;
                for (;;) {
                    if (n == null)
                        return b.isBaseHeader() ? null : b;
                    Node<K,V> f = n.next;            // inconsistent read
                    if (n != b.next)
                        break;
                    Object v = n.value;
                    if (v == null) {                 // n is deleted
                        n.helpDelete(b, f);
                        break;
                    }
                    if (v == n || b.value == null)   // b is deleted
                        break;
                    b = n;
                    n = f;
                }
                q = head; // restart
            }
        }
    }

    /**
     * Specialized variant of findPredecessor to get predecessor of last
     * valid node.  Needed when removing the last entry.  It is possible
     * that all successors of returned node will have been deleted upon
     * return, in which case this method can be retried.
     * @return likely predecessor of last node
     */
    private Node<K,V> findPredecessorOfLast() {
        for (;;) {
            Index<K,V> q = head;
            for (;;) {
                Index<K,V> d, r;
                if ((r = q.right) != null) {
                    if (r.indexesDeletedNode()) {
                        q.unlink(r);
                        break;    // must restart
                    }
                    // proceed as far across as possible without overshooting
                    if (r.node.next != null) {
                        q = r;
                        continue;
                    }
                }
                if ((d = q.down) != null)
                    q = d;
                else
                    return q.node;
            }
        }
    }

    /**
     * Removes last entry; returns its snapshot.
     * Specialized variant of doRemove.
     * @return null if empty, else snapshot of last entry
     */
    Map.Entry<K,V> doRemoveLastEntry() {
        for (;;) {
            Node<K,V> b = findPredecessorOfLast();
            Node<K,V> n = b.next;
            if (n == null) {
                if (b.isBaseHeader())               // empty
                    return null;
                else
                    continue; // all b's successors are deleted; retry
            }
            for (;;) {
                Node<K,V> f = n.next;
                if (n != b.next)                    // inconsistent read
                    break;
                Object v = n.value;
                if (v == null) {                    // n is deleted
                    n.helpDelete(b, f);
                    break;
                }
                if (v == n || b.value == null)      // b is deleted
                    break;
                if (f != null) {
                    b = n;
                    n = f;
                    continue;
                }
                if (!n.casValue(v, null))
                    break;
                K key = n.key;
                Comparable<? super K> ck = comparable(key);
                if (!n.appendMarker(f) || !b.casNext(n, f))
                    findNode(ck);                  // Retry via findNode
                else {
                    findPredecessor(ck);           // Clean index
                    if (head.right == null)
                        tryReduceLevel();
                }
                return new AbstractMap.SimpleImmutableEntry<K,V>(key, (V)v);
            }
        }
    }

    /* ---------------- Relational operations -------------- */

    // Control values OR'ed as arguments to findNear

    private static final int EQ = 1;
    private static final int LT = 2;
    private static final int GT = 0; // Actually checked as !LT

    /**
     * Utility for ceiling, floor, lower, higher methods.
     * @param kkey the key
     * @param rel the relation -- OR'ed combination of EQ, LT, GT
     * @return nearest node fitting relation, or null if no such
     */
    Node<K,V> findNear(K kkey, int rel) {
        Comparable<? super K> key = comparable(kkey);
        for (;;) {
            Node<K,V> b = findPredecessor(key);
            Node<K,V> n = b.next;
            for (;;) {
                if (n == null)
                    return ((rel & LT) == 0 || b.isBaseHeader()) ? null : b;
                Node<K,V> f = n.next;
                if (n != b.next)                  // inconsistent read
                    break;
                Object v = n.value;
                if (v == null) {                  // n is deleted
                    n.helpDelete(b, f);
                    break;
                }
                if (v == n || b.value == null)    // b is deleted
                    break;
                int c = key.compareTo(n.key);
                if ((c == 0 && (rel & EQ) != 0) ||
                    (c <  0 && (rel & LT) == 0))
                    return n;
                if ( c <= 0 && (rel & LT) != 0)
                    return b.isBaseHeader() ? null : b;
                b = n;
                n = f;
            }
        }
    }

    /**
     * Returns SimpleImmutableEntry for results of findNear.
     * @param key the key
     * @param rel the relation -- OR'ed combination of EQ, LT, GT
     * @return Entry fitting relation, or null if no such
     */
    AbstractMap.SimpleImmutableEntry<K,V> getNear(K key, int rel) {
        for (;;) {
            Node<K,V> n = findNear(key, rel);
            if (n == null)
                return null;
            AbstractMap.SimpleImmutableEntry<K,V> e = n.createSnapshot();
            if (e != null)
                return e;
        }
    }


    /* ---------------- Constructors -------------- */

    /**
     * Constructs a new, empty map, sorted according to the
     * {@linkplain Comparable natural ordering} of the keys.
     */
    public ConcurrentSkipListMap() {
        this.comparator = null;
        initialize();
    }

    /**
     * Constructs a new, empty map, sorted according to the specified
     * comparator.
     *
     * @param comparator the comparator that will be used to order this map.
     *        If <tt>null</tt>, the {@linkplain Comparable natural
     *        ordering} of the keys will be used.
     */
    public ConcurrentSkipListMap(Comparator<? super K> comparator) {
        this.comparator = comparator;
        initialize();
    }

    /**
     * Constructs a new map containing the same mappings as the given map,
     * sorted according to the {@linkplain Comparable natural ordering} of
     * the keys.
     *
     * @param  m the map whose mappings are to be placed in this map
     * @throws ClassCastException if the keys in <tt>m</tt> are not
     *         {@link Comparable}, or are not mutually comparable
     * @throws NullPointerException if the specified map or any of its keys
     *         or values are null
     */
    public ConcurrentSkipListMap(Map<? extends K, ? extends V> m) {
        this.comparator = null;
        initialize();
        putAll(m);
    }

    /**
     * Constructs a new map containing the same mappings and using the
     * same ordering as the specified sorted map.
     *
     * @param m the sorted map whose mappings are to be placed in this
     *        map, and whose comparator is to be used to sort this map
     * @throws NullPointerException if the specified sorted map or any of
     *         its keys or values are null
     */
    public ConcurrentSkipListMap(SortedMap<K, ? extends V> m) {
        this.comparator = m.comparator();
        initialize();
        buildFromSorted(m);
    }

    /**
     * Returns a shallow copy of this <tt>ConcurrentSkipListMap</tt>
     * instance. (The keys and values themselves are not cloned.)
     *
     * @return a shallow copy of this map
     */
    public ConcurrentSkipListMap<K,V> clone() {
        ConcurrentSkipListMap<K,V> clone = null;
        try {
            clone = (ConcurrentSkipListMap<K,V>) super.clone();
        } catch (CloneNotSupportedException e) {
            throw new InternalError();
        }

        clone.initialize();
        clone.buildFromSorted(this);
        return clone;
    }

    /**
     * Streamlined bulk insertion to initialize from elements of
     * given sorted map.  Call only from constructor or clone
     * method.
     */
    private void buildFromSorted(SortedMap<K, ? extends V> map) {
        if (map == null)
            throw new NullPointerException();

        HeadIndex<K,V> h = head;
        Node<K,V> basepred = h.node;

        // Track the current rightmost node at each level. Uses an
        // ArrayList to avoid committing to initial or maximum level.
        ArrayList<Index<K,V>> preds = new ArrayList<Index<K,V>>();

        // initialize
        for (int i = 0; i <= h.level; ++i)
            preds.add(null);
        Index<K,V> q = h;
        for (int i = h.level; i > 0; --i) {
            preds.set(i, q);
            q = q.down;
        }

        Iterator<? extends Map.Entry<? extends K, ? extends V>> it =
            map.entrySet().iterator();
        while (it.hasNext()) {
            Map.Entry<? extends K, ? extends V> e = it.next();
            int j = randomLevel();
            if (j > h.level) j = h.level + 1;
            K k = e.getKey();
            V v = e.getValue();
            if (k == null || v == null)
                throw new NullPointerException();
            Node<K,V> z = new Node<K,V>(k, v, null);
            basepred.next = z;
            basepred = z;
            if (j > 0) {
                Index<K,V> idx = null;
                for (int i = 1; i <= j; ++i) {
                    idx = new Index<K,V>(z, idx, null);
                    if (i > h.level)
                        h = new HeadIndex<K,V>(h.node, h, idx, i);

                    if (i < preds.size()) {
                        preds.get(i).right = idx;
                        preds.set(i, idx);
                    } else
                        preds.add(idx);
                }
            }
        }
        head = h;
    }

    /* ---------------- Serialization -------------- */

    /**
     * Save the state of this map to a stream.
     *
     * @serialData The key (Object) and value (Object) for each
     * key-value mapping represented by the map, followed by
     * <tt>null</tt>. The key-value mappings are emitted in key-order
     * (as determined by the Comparator, or by the keys' natural
     * ordering if no Comparator).
     */
    private void writeObject(java.io.ObjectOutputStream s)
        throws java.io.IOException {
        // Write out the Comparator and any hidden stuff
        s.defaultWriteObject();

        // Write out keys and values (alternating)
        for (Node<K,V> n = findFirst(); n != null; n = n.next) {
            V v = n.getValidValue();
            if (v != null) {
                s.writeObject(n.key);
                s.writeObject(v);
            }
        }
        s.writeObject(null);
    }

    /**
     * Reconstitute the map from a stream.
     */
    private void readObject(final java.io.ObjectInputStream s)
        throws java.io.IOException, ClassNotFoundException {
        // Read in the Comparator and any hidden stuff
        s.defaultReadObject();
        // Reset transients
        initialize();

        /*
         * This is nearly identical to buildFromSorted, but is
         * distinct because readObject calls can't be nicely adapted
         * as the kind of iterator needed by buildFromSorted. (They
         * can be, but doing so requires type cheats and/or creation
         * of adaptor classes.) It is simpler to just adapt the code.
         */

        HeadIndex<K,V> h = head;
        Node<K,V> basepred = h.node;
        ArrayList<Index<K,V>> preds = new ArrayList<Index<K,V>>();
        for (int i = 0; i <= h.level; ++i)
            preds.add(null);
        Index<K,V> q = h;
        for (int i = h.level; i > 0; --i) {
            preds.set(i, q);
            q = q.down;
        }

        for (;;) {
            Object k = s.readObject();
            if (k == null)
                break;
            Object v = s.readObject();
            if (v == null)
                throw new NullPointerException();
            K key = (K) k;
            V val = (V) v;
            int j = randomLevel();
            if (j > h.level) j = h.level + 1;
            Node<K,V> z = new Node<K,V>(key, val, null);
            basepred.next = z;
            basepred = z;
            if (j > 0) {
                Index<K,V> idx = null;
                for (int i = 1; i <= j; ++i) {
                    idx = new Index<K,V>(z, idx, null);
                    if (i > h.level)
                        h = new HeadIndex<K,V>(h.node, h, idx, i);

                    if (i < preds.size()) {
                        preds.get(i).right = idx;
                        preds.set(i, idx);
                    } else
                        preds.add(idx);
                }
            }
        }
        head = h;
    }

    /* ------ Map API methods ------ */

    /**
     * Returns <tt>true</tt> if this map contains a mapping for the specified
     * key.
     *
     * @param key key whose presence in this map is to be tested
     * @return <tt>true</tt> if this map contains a mapping for the specified key
     * @throws ClassCastException if the specified key cannot be compared
     *         with the keys currently in the map
     * @throws NullPointerException if the specified key is null
     */
    public boolean containsKey(Object key) {
        return doGet(key) != null;
    }

    /**
     * Returns the value to which the specified key is mapped,
     * or {@code null} if this map contains no mapping for the key.
     *
     * <p>More formally, if this map contains a mapping from a key
     * {@code k} to a value {@code v} such that {@code key} compares
     * equal to {@code k} according to the map's ordering, then this
     * method returns {@code v}; otherwise it returns {@code null}.
     * (There can be at most one such mapping.)
     *
     * @throws ClassCastException if the specified key cannot be compared
     *         with the keys currently in the map
     * @throws NullPointerException if the specified key is null
     */
    public V get(Object key) {
        return doGet(key);
    }

    /**
     * Associates the specified value with the specified key in this map.
     * If the map previously contained a mapping for the key, the old
     * value is replaced.
     *
     * @param key key with which the specified value is to be associated
     * @param value value to be associated with the specified key
     * @return the previous value associated with the specified key, or
     *         <tt>null</tt> if there was no mapping for the key
     * @throws ClassCastException if the specified key cannot be compared
     *         with the keys currently in the map
     * @throws NullPointerException if the specified key or value is null
     */
    public V put(K key, V value) {
        if (value == null)
            throw new NullPointerException();
        return doPut(key, value, false);
    }

    /**
     * Removes the mapping for the specified key from this map if present.
     *
     * @param  key key for which mapping should be removed
     * @return the previous value associated with the specified key, or
     *         <tt>null</tt> if there was no mapping for the key
     * @throws ClassCastException if the specified key cannot be compared
     *         with the keys currently in the map
     * @throws NullPointerException if the specified key is null
     */
    public V remove(Object key) {
        return doRemove(key, null);
    }

    /**
     * Returns <tt>true</tt> if this map maps one or more keys to the
     * specified value.  This operation requires time linear in the
     * map size. Additionally, it is possible for the map to change
     * during execution of this method, in which case the returned
     * result may be inaccurate.
     *
     * @param value value whose presence in this map is to be tested
     * @return <tt>true</tt> if a mapping to <tt>value</tt> exists;
     *         <tt>false</tt> otherwise
     * @throws NullPointerException if the specified value is null
     */
    public boolean containsValue(Object value) {
        if (value == null)
            throw new NullPointerException();
        for (Node<K,V> n = findFirst(); n != null; n = n.next) {
            V v = n.getValidValue();
            if (v != null && value.equals(v))
                return true;
        }
        return false;
    }

    /**
     * Returns the number of key-value mappings in this map.  If this map
     * contains more than <tt>Integer.MAX_VALUE</tt> elements, it
     * returns <tt>Integer.MAX_VALUE</tt>.
     *
     * <p>Beware that, unlike in most collections, this method is
     * <em>NOT</em> a constant-time operation. Because of the
     * asynchronous nature of these maps, determining the current
     * number of elements requires traversing them all to count them.
     * Additionally, it is possible for the size to change during
     * execution of this method, in which case the returned result
     * will be inaccurate. Thus, this method is typically not very
     * useful in concurrent applications.
     *
     * @return the number of elements in this map
     */
    public int size() {
        long count = 0;
        for (Node<K,V> n = findFirst(); n != null; n = n.next) {
            if (n.getValidValue() != null)
                ++count;
        }
        return (count >= Integer.MAX_VALUE) ? Integer.MAX_VALUE : (int) count;
    }

    /**
     * Returns <tt>true</tt> if this map contains no key-value mappings.
     * @return <tt>true</tt> if this map contains no key-value mappings
     */
    public boolean isEmpty() {
        return findFirst() == null;
    }

    /**
     * Removes all of the mappings from this map.
     */
    public void clear() {
        initialize();
    }

    /* ---------------- View methods -------------- */

    /*
     * Note: Lazy initialization works for views because view classes
     * are stateless/immutable so it doesn't matter wrt correctness if
     * more than one is created (which will only rarely happen).  Even
     * so, the following idiom conservatively ensures that the method
     * returns the one it created if it does so, not one created by
     * another racing thread.
     */

    /**
     * Returns a {@link NavigableSet} view of the keys contained in this map.
     * The set's iterator returns the keys in ascending order.
     * The set is backed by the map, so changes to the map are
     * reflected in the set, and vice-versa.  The set supports element
     * removal, which removes the corresponding mapping from the map,
     * via the {@code Iterator.remove}, {@code Set.remove},
     * {@code removeAll}, {@code retainAll}, and {@code clear}
     * operations.  It does not support the {@code add} or {@code addAll}
     * operations.
     *
     * <p>The view's {@code iterator} is a "weakly consistent" iterator
     * that will never throw {@link ConcurrentModificationException},
     * and guarantees to traverse elements as they existed upon
     * construction of the iterator, and may (but is not guaranteed to)
     * reflect any modifications subsequent to construction.
     *
     * <p>This method is equivalent to method {@code navigableKeySet}.
     *
     * @return a navigable set view of the keys in this map
     */
    public NavigableSet<K> keySet() {
        KeySet ks = keySet;
        return (ks != null) ? ks : (keySet = new KeySet(this));
    }

    public NavigableSet<K> navigableKeySet() {
        KeySet ks = keySet;
        return (ks != null) ? ks : (keySet = new KeySet(this));
    }

    /**
     * Returns a {@link Collection} view of the values contained in this map.
     * The collection's iterator returns the values in ascending order
     * of the corresponding keys.
     * The collection is backed by the map, so changes to the map are
     * reflected in the collection, and vice-versa.  The collection
     * supports element removal, which removes the corresponding
     * mapping from the map, via the <tt>Iterator.remove</tt>,
     * <tt>Collection.remove</tt>, <tt>removeAll</tt>,
     * <tt>retainAll</tt> and <tt>clear</tt> operations.  It does not
     * support the <tt>add</tt> or <tt>addAll</tt> operations.
     *
     * <p>The view's <tt>iterator</tt> is a "weakly consistent" iterator
     * that will never throw {@link ConcurrentModificationException},
     * and guarantees to traverse elements as they existed upon
     * construction of the iterator, and may (but is not guaranteed to)
     * reflect any modifications subsequent to construction.
     */
    public Collection<V> values() {
        Values vs = values;
        return (vs != null) ? vs : (values = new Values(this));
    }

    /**
     * Returns a {@link Set} view of the mappings contained in this map.
     * The set's iterator returns the entries in ascending key order.
     * The set is backed by the map, so changes to the map are
     * reflected in the set, and vice-versa.  The set supports element
     * removal, which removes the corresponding mapping from the map,
     * via the <tt>Iterator.remove</tt>, <tt>Set.remove</tt>,
     * <tt>removeAll</tt>, <tt>retainAll</tt> and <tt>clear</tt>
     * operations.  It does not support the <tt>add</tt> or
     * <tt>addAll</tt> operations.
     *
     * <p>The view's <tt>iterator</tt> is a "weakly consistent" iterator
     * that will never throw {@link ConcurrentModificationException},
     * and guarantees to traverse elements as they existed upon
     * construction of the iterator, and may (but is not guaranteed to)
     * reflect any modifications subsequent to construction.
     *
     * <p>The <tt>Map.Entry</tt> elements returned by
     * <tt>iterator.next()</tt> do <em>not</em> support the
     * <tt>setValue</tt> operation.
     *
     * @return a set view of the mappings contained in this map,
     *         sorted in ascending key order
     */
    public Set<Map.Entry<K,V>> entrySet() {
        EntrySet es = entrySet;
        return (es != null) ? es : (entrySet = new EntrySet(this));
    }

    public ConcurrentNavigableMap<K,V> descendingMap() {
        ConcurrentNavigableMap<K,V> dm = descendingMap;
        return (dm != null) ? dm : (descendingMap = new SubMap<K,V>
                                    (this, null, false, null, false, true));
    }

    public NavigableSet<K> descendingKeySet() {
        return descendingMap().navigableKeySet();
    }

    /* ---------------- AbstractMap Overrides -------------- */

    /**
     * Compares the specified object with this map for equality.
     * Returns <tt>true</tt> if the given object is also a map and the
     * two maps represent the same mappings.  More formally, two maps
     * <tt>m1</tt> and <tt>m2</tt> represent the same mappings if
     * <tt>m1.entrySet().equals(m2.entrySet())</tt>.  This
     * operation may return misleading results if either map is
     * concurrently modified during execution of this method.
     *
     * @param o object to be compared for equality with this map
     * @return <tt>true</tt> if the specified object is equal to this map
     */
    public boolean equals(Object o) {
        if (o == this)
            return true;
        if (!(o instanceof Map))
            return false;
        Map<?,?> m = (Map<?,?>) o;
        try {
            for (Map.Entry<K,V> e : this.entrySet())
                if (! e.getValue().equals(m.get(e.getKey())))
                    return false;
            for (Map.Entry<?,?> e : m.entrySet()) {
                Object k = e.getKey();
                Object v = e.getValue();
                if (k == null || v == null || !v.equals(get(k)))
                    return false;
            }
            return true;
        } catch (ClassCastException unused) {
            return false;
        } catch (NullPointerException unused) {
            return false;
        }
    }

    /* ------ ConcurrentMap API methods ------ */

    /**
     * {@inheritDoc}
     *
     * @return the previous value associated with the specified key,
     *         or <tt>null</tt> if there was no mapping for the key
     * @throws ClassCastException if the specified key cannot be compared
     *         with the keys currently in the map
     * @throws NullPointerException if the specified key or value is null
     */
    public V putIfAbsent(K key, V value) {
        if (value == null)
            throw new NullPointerException();
        return doPut(key, value, true);
    }

    /**
     * {@inheritDoc}
     *
     * @throws ClassCastException if the specified key cannot be compared
     *         with the keys currently in the map
     * @throws NullPointerException if the specified key is null
     */
    public boolean remove(Object key, Object value) {
        if (key == null)
            throw new NullPointerException();
        if (value == null)
            return false;
        return doRemove(key, value) != null;
    }

    /**
     * {@inheritDoc}
     *
     * @throws ClassCastException if the specified key cannot be compared
     *         with the keys currently in the map
     * @throws NullPointerException if any of the arguments are null
     */
    public boolean replace(K key, V oldValue, V newValue) {
        if (oldValue == null || newValue == null)
            throw new NullPointerException();
        Comparable<? super K> k = comparable(key);
        for (;;) {
            Node<K,V> n = findNode(k);
            if (n == null)
                return false;
            Object v = n.value;
            if (v != null) {
                if (!oldValue.equals(v))
                    return false;
                if (n.casValue(v, newValue))
                    return true;
            }
        }
    }

    /**
     * {@inheritDoc}
     *
     * @return the previous value associated with the specified key,
     *         or <tt>null</tt> if there was no mapping for the key
     * @throws ClassCastException if the specified key cannot be compared
     *         with the keys currently in the map
     * @throws NullPointerException if the specified key or value is null
     */
    public V replace(K key, V value) {
        if (value == null)
            throw new NullPointerException();
        Comparable<? super K> k = comparable(key);
        for (;;) {
            Node<K,V> n = findNode(k);
            if (n == null)
                return null;
            Object v = n.value;
            if (v != null && n.casValue(v, value))
                return (V)v;
        }
    }

    /* ------ SortedMap API methods ------ */

    public Comparator<? super K> comparator() {
        return comparator;
    }

    /**
     * @throws NoSuchElementException {@inheritDoc}
     */
    public K firstKey() {
        Node<K,V> n = findFirst();
        if (n == null)
            throw new NoSuchElementException();
        return n.key;
    }

    /**
     * @throws NoSuchElementException {@inheritDoc}
     */
    public K lastKey() {
        Node<K,V> n = findLast();
        if (n == null)
            throw new NoSuchElementException();
        return n.key;
    }

    /**
     * @throws ClassCastException {@inheritDoc}
     * @throws NullPointerException if {@code fromKey} or {@code toKey} is null
     * @throws IllegalArgumentException {@inheritDoc}
     */
    public ConcurrentNavigableMap<K,V> subMap(K fromKey,
                                              boolean fromInclusive,
                                              K toKey,
                                              boolean toInclusive) {
        if (fromKey == null || toKey == null)
            throw new NullPointerException();
        return new SubMap<K,V>
            (this, fromKey, fromInclusive, toKey, toInclusive, false);
    }

    /**
     * @throws ClassCastException {@inheritDoc}
     * @throws NullPointerException if {@code toKey} is null
     * @throws IllegalArgumentException {@inheritDoc}
     */
    public ConcurrentNavigableMap<K,V> headMap(K toKey,
                                               boolean inclusive) {
        if (toKey == null)
            throw new NullPointerException();
        return new SubMap<K,V>
            (this, null, false, toKey, inclusive, false);
    }

    /**
     * @throws ClassCastException {@inheritDoc}
     * @throws NullPointerException if {@code fromKey} is null
     * @throws IllegalArgumentException {@inheritDoc}
     */
    public ConcurrentNavigableMap<K,V> tailMap(K fromKey,
                                               boolean inclusive) {
        if (fromKey == null)
            throw new NullPointerException();
        return new SubMap<K,V>
            (this, fromKey, inclusive, null, false, false);
    }

    /**
     * @throws ClassCastException {@inheritDoc}
     * @throws NullPointerException if {@code fromKey} or {@code toKey} is null
     * @throws IllegalArgumentException {@inheritDoc}
     */
    public ConcurrentNavigableMap<K,V> subMap(K fromKey, K toKey) {
        return subMap(fromKey, true, toKey, false);
    }

    /**
     * @throws ClassCastException {@inheritDoc}
     * @throws NullPointerException if {@code toKey} is null
     * @throws IllegalArgumentException {@inheritDoc}
     */
    public ConcurrentNavigableMap<K,V> headMap(K toKey) {
        return headMap(toKey, false);
    }

    /**
     * @throws ClassCastException {@inheritDoc}
     * @throws NullPointerException if {@code fromKey} is null
     * @throws IllegalArgumentException {@inheritDoc}
     */
    public ConcurrentNavigableMap<K,V> tailMap(K fromKey) {
        return tailMap(fromKey, true);
    }

    /* ---------------- Relational operations -------------- */

    /**
     * Returns a key-value mapping associated with the greatest key
     * strictly less than the given key, or <tt>null</tt> if there is
     * no such key. The returned entry does <em>not</em> support the
     * <tt>Entry.setValue</tt> method.
     *
     * @throws ClassCastException {@inheritDoc}
     * @throws NullPointerException if the specified key is null
     */
    public Map.Entry<K,V> lowerEntry(K key) {
        return getNear(key, LT);
    }

    /**
     * @throws ClassCastException {@inheritDoc}
     * @throws NullPointerException if the specified key is null
     */
    public K lowerKey(K key) {
        Node<K,V> n = findNear(key, LT);
        return (n == null) ? null : n.key;
    }

    /**
     * Returns a key-value mapping associated with the greatest key
     * less than or equal to the given key, or <tt>null</tt> if there
     * is no such key. The returned entry does <em>not</em> support
     * the <tt>Entry.setValue</tt> method.
     *
     * @param key the key
     * @throws ClassCastException {@inheritDoc}
     * @throws NullPointerException if the specified key is null
     */
    public Map.Entry<K,V> floorEntry(K key) {
        return getNear(key, LT|EQ);
    }

    /**
     * @param key the key
     * @throws ClassCastException {@inheritDoc}
     * @throws NullPointerException if the specified key is null
     */
    public K floorKey(K key) {
        Node<K,V> n = findNear(key, LT|EQ);
        return (n == null) ? null : n.key;
    }

    /**
     * Returns a key-value mapping associated with the least key
     * greater than or equal to the given key, or <tt>null</tt> if
     * there is no such entry. The returned entry does <em>not</em>
     * support the <tt>Entry.setValue</tt> method.
     *
     * @throws ClassCastException {@inheritDoc}
     * @throws NullPointerException if the specified key is null
     */
    public Map.Entry<K,V> ceilingEntry(K key) {
        return getNear(key, GT|EQ);
    }

    /**
     * @throws ClassCastException {@inheritDoc}
     * @throws NullPointerException if the specified key is null
     */
    public K ceilingKey(K key) {
        Node<K,V> n = findNear(key, GT|EQ);
        return (n == null) ? null : n.key;
    }

    /**
     * Returns a key-value mapping associated with the least key
     * strictly greater than the given key, or <tt>null</tt> if there
     * is no such key. The returned entry does <em>not</em> support
     * the <tt>Entry.setValue</tt> method.
     *
     * @param key the key
     * @throws ClassCastException {@inheritDoc}
     * @throws NullPointerException if the specified key is null
     */
    public Map.Entry<K,V> higherEntry(K key) {
        return getNear(key, GT);
    }

    /**
     * @param key the key
     * @throws ClassCastException {@inheritDoc}
     * @throws NullPointerException if the specified key is null
     */
    public K higherKey(K key) {
        Node<K,V> n = findNear(key, GT);
        return (n == null) ? null : n.key;
    }

    /**
     * Returns a key-value mapping associated with the least
     * key in this map, or <tt>null</tt> if the map is empty.
     * The returned entry does <em>not</em> support
     * the <tt>Entry.setValue</tt> method.
     */
    public Map.Entry<K,V> firstEntry() {
        for (;;) {
            Node<K,V> n = findFirst();
            if (n == null)
                return null;
            AbstractMap.SimpleImmutableEntry<K,V> e = n.createSnapshot();
            if (e != null)
                return e;
        }
    }

    /**
     * Returns a key-value mapping associated with the greatest
     * key in this map, or <tt>null</tt> if the map is empty.
     * The returned entry does <em>not</em> support
     * the <tt>Entry.setValue</tt> method.
     */
    public Map.Entry<K,V> lastEntry() {
        for (;;) {
            Node<K,V> n = findLast();
            if (n == null)
                return null;
            AbstractMap.SimpleImmutableEntry<K,V> e = n.createSnapshot();
            if (e != null)
                return e;
        }
    }

    /**
     * Removes and returns a key-value mapping associated with
     * the least key in this map, or <tt>null</tt> if the map is empty.
     * The returned entry does <em>not</em> support
     * the <tt>Entry.setValue</tt> method.
     */
    public Map.Entry<K,V> pollFirstEntry() {
        return doRemoveFirstEntry();
    }

    /**
     * Removes and returns a key-value mapping associated with
     * the greatest key in this map, or <tt>null</tt> if the map is empty.
     * The returned entry does <em>not</em> support
     * the <tt>Entry.setValue</tt> method.
     */
    public Map.Entry<K,V> pollLastEntry() {
        return doRemoveLastEntry();
    }


    /* ---------------- Iterators -------------- */

    /**
     * Base of iterator classes:
     */
    abstract class Iter<T> implements Iterator<T> {
        /** the last node returned by next() */
        Node<K,V> lastReturned;
        /** the next node to return from next(); */
        Node<K,V> next;
        /** Cache of next value field to maintain weak consistency */
        V nextValue;

        /** Initializes ascending iterator for entire range. */
        Iter() {
            for (;;) {
                next = findFirst();
                if (next == null)
                    break;
                Object x = next.value;
                if (x != null && x != next) {
                    nextValue = (V) x;
                    break;
                }
            }
        }

        public final boolean hasNext() {
            return next != null;
        }

        /** Advances next to higher entry. */
        final void advance() {
            if (next == null)
                throw new NoSuchElementException();
            lastReturned = next;
            for (;;) {
                next = next.next;
                if (next == null)
                    break;
                Object x = next.value;
                if (x != null && x != next) {
                    nextValue = (V) x;
                    break;
                }
            }
        }

        public void remove() {
            Node<K,V> l = lastReturned;
            if (l == null)
                throw new IllegalStateException();
            // It would not be worth all of the overhead to directly
            // unlink from here. Using remove is fast enough.
            ConcurrentSkipListMap.this.remove(l.key);
            lastReturned = null;
        }

    }

    final class ValueIterator extends Iter<V> {
        public V next() {
            V v = nextValue;
            advance();
            return v;
        }
    }

    final class KeyIterator extends Iter<K> {
        public K next() {
            Node<K,V> n = next;
            advance();
            return n.key;
        }
    }

    final class EntryIterator extends Iter<Map.Entry<K,V>> {
        public Map.Entry<K,V> next() {
            Node<K,V> n = next;
            V v = nextValue;
            advance();
            return new AbstractMap.SimpleImmutableEntry<K,V>(n.key, v);
        }
    }

    // Factory methods for iterators needed by ConcurrentSkipListSet etc

    Iterator<K> keyIterator() {
        return new KeyIterator();
    }

    Iterator<V> valueIterator() {
        return new ValueIterator();
    }

    Iterator<Map.Entry<K,V>> entryIterator() {
        return new EntryIterator();
    }

    /* ---------------- View Classes -------------- */

    /*
     * View classes are static, delegating to a ConcurrentNavigableMap
     * to allow use by SubMaps, which outweighs the ugliness of
     * needing type-tests for Iterator methods.
     */

    static final <E> List<E> toList(Collection<E> c) {
        // Using size() here would be a pessimization.
        List<E> list = new ArrayList<E>();
        for (E e : c)
            list.add(e);
        return list;
    }

    static final class KeySet<E>
            extends AbstractSet<E> implements NavigableSet<E> {
        private final ConcurrentNavigableMap<E,Object> m;
        KeySet(ConcurrentNavigableMap<E,Object> map) { m = map; }
        public int size() { return m.size(); }
        public boolean isEmpty() { return m.isEmpty(); }
        public boolean contains(Object o) { return m.containsKey(o); }
        public boolean remove(Object o) { return m.remove(o) != null; }
        public void clear() { m.clear(); }
        public E lower(E e) { return m.lowerKey(e); }
        public E floor(E e) { return m.floorKey(e); }
        public E ceiling(E e) { return m.ceilingKey(e); }
        public E higher(E e) { return m.higherKey(e); }
        public Comparator<? super E> comparator() { return m.comparator(); }
        public E first() { return m.firstKey(); }
        public E last() { return m.lastKey(); }
        public E pollFirst() {
            Map.Entry<E,Object> e = m.pollFirstEntry();
            return (e == null) ? null : e.getKey();
        }
        public E pollLast() {
            Map.Entry<E,Object> e = m.pollLastEntry();
            return (e == null) ? null : e.getKey();
        }
        public Iterator<E> iterator() {
            if (m instanceof ConcurrentSkipListMap)
                return ((ConcurrentSkipListMap<E,Object>)m).keyIterator();
            else
                return ((ConcurrentSkipListMap.SubMap<E,Object>)m).keyIterator();
        }
        public boolean equals(Object o) {
            if (o == this)
                return true;
            if (!(o instanceof Set))
                return false;
            Collection<?> c = (Collection<?>) o;
            try {
                return containsAll(c) && c.containsAll(this);
            } catch (ClassCastException unused)   {
                return false;
            } catch (NullPointerException unused) {
                return false;
            }
        }
        public Object[] toArray()     { return toList(this).toArray();  }
        public <T> T[] toArray(T[] a) { return toList(this).toArray(a); }
        public Iterator<E> descendingIterator() {
            return descendingSet().iterator();
        }
        public NavigableSet<E> subSet(E fromElement,
                                      boolean fromInclusive,
                                      E toElement,
                                      boolean toInclusive) {
            return new KeySet<E>(m.subMap(fromElement, fromInclusive,
                                          toElement,   toInclusive));
        }
        public NavigableSet<E> headSet(E toElement, boolean inclusive) {
            return new KeySet<E>(m.headMap(toElement, inclusive));
        }
        public NavigableSet<E> tailSet(E fromElement, boolean inclusive) {
            return new KeySet<E>(m.tailMap(fromElement, inclusive));
        }
        public NavigableSet<E> subSet(E fromElement, E toElement) {
            return subSet(fromElement, true, toElement, false);
        }
        public NavigableSet<E> headSet(E toElement) {
            return headSet(toElement, false);
        }
        public NavigableSet<E> tailSet(E fromElement) {
            return tailSet(fromElement, true);
        }
        public NavigableSet<E> descendingSet() {
            return new KeySet(m.descendingMap());
        }
    }

    static final class Values<E> extends AbstractCollection<E> {
        private final ConcurrentNavigableMap<Object, E> m;
        Values(ConcurrentNavigableMap<Object, E> map) {
            m = map;
        }
        public Iterator<E> iterator() {
            if (m instanceof ConcurrentSkipListMap)
                return ((ConcurrentSkipListMap<Object,E>)m).valueIterator();
            else
                return ((SubMap<Object,E>)m).valueIterator();
        }
        public boolean isEmpty() {
            return m.isEmpty();
        }
        public int size() {
            return m.size();
        }
        public boolean contains(Object o) {
            return m.containsValue(o);
        }
        public void clear() {
            m.clear();
        }
        public Object[] toArray()     { return toList(this).toArray();  }
        public <T> T[] toArray(T[] a) { return toList(this).toArray(a); }
    }

    static final class EntrySet<K1,V1> extends AbstractSet<Map.Entry<K1,V1>> {
        private final ConcurrentNavigableMap<K1, V1> m;
        EntrySet(ConcurrentNavigableMap<K1, V1> map) {
            m = map;
        }

        public Iterator<Map.Entry<K1,V1>> iterator() {
            if (m instanceof ConcurrentSkipListMap)
                return ((ConcurrentSkipListMap<K1,V1>)m).entryIterator();
            else
                return ((SubMap<K1,V1>)m).entryIterator();
        }

        public boolean contains(Object o) {
            if (!(o instanceof Map.Entry))
                return false;
            Map.Entry<K1,V1> e = (Map.Entry<K1,V1>)o;
            V1 v = m.get(e.getKey());
            return v != null && v.equals(e.getValue());
        }
        public boolean remove(Object o) {
            if (!(o instanceof Map.Entry))
                return false;
            Map.Entry<K1,V1> e = (Map.Entry<K1,V1>)o;
            return m.remove(e.getKey(),
                            e.getValue());
        }
        public boolean isEmpty() {
            return m.isEmpty();
        }
        public int size() {
            return m.size();
        }
        public void clear() {
            m.clear();
        }
        public boolean equals(Object o) {
            if (o == this)
                return true;
            if (!(o instanceof Set))
                return false;
            Collection<?> c = (Collection<?>) o;
            try {
                return containsAll(c) && c.containsAll(this);
            } catch (ClassCastException unused)   {
                return false;
            } catch (NullPointerException unused) {
                return false;
            }
        }
        public Object[] toArray()     { return toList(this).toArray();  }
        public <T> T[] toArray(T[] a) { return toList(this).toArray(a); }
    }

    /**
     * Submaps returned by {@link ConcurrentSkipListMap} submap operations
     * represent a subrange of mappings of their underlying
     * maps. Instances of this class support all methods of their
     * underlying maps, differing in that mappings outside their range are
     * ignored, and attempts to add mappings outside their ranges result
     * in {@link IllegalArgumentException}.  Instances of this class are
     * constructed only using the <tt>subMap</tt>, <tt>headMap</tt>, and
     * <tt>tailMap</tt> methods of their underlying maps.
     *
     * @serial include
     */
    static final class SubMap<K,V> extends AbstractMap<K,V>
        implements ConcurrentNavigableMap<K,V>, Cloneable,
                   java.io.Serializable {
        private static final long serialVersionUID = -7647078645895051609L;

        /** Underlying map */
        private final ConcurrentSkipListMap<K,V> m;
        /** lower bound key, or null if from start */
        private final K lo;
        /** upper bound key, or null if to end */
        private final K hi;
        /** inclusion flag for lo */
        private final boolean loInclusive;
        /** inclusion flag for hi */
        private final boolean hiInclusive;
        /** direction */
        private final boolean isDescending;

        // Lazily initialized view holders
        private transient KeySet<K> keySetView;
        private transient Set<Map.Entry<K,V>> entrySetView;
        private transient Collection<V> valuesView;

        /**
         * Creates a new submap, initializing all fields
         */
        SubMap(ConcurrentSkipListMap<K,V> map,
               K fromKey, boolean fromInclusive,
               K toKey, boolean toInclusive,
               boolean isDescending) {
            if (fromKey != null && toKey != null &&
                map.compare(fromKey, toKey) > 0)
                throw new IllegalArgumentException("inconsistent range");
            this.m = map;
            this.lo = fromKey;
            this.hi = toKey;
            this.loInclusive = fromInclusive;
            this.hiInclusive = toInclusive;
            this.isDescending = isDescending;
        }

        /* ----------------  Utilities -------------- */

        private boolean tooLow(K key) {
            if (lo != null) {
                int c = m.compare(key, lo);
                if (c < 0 || (c == 0 && !loInclusive))
                    return true;
            }
            return false;
        }

        private boolean tooHigh(K key) {
            if (hi != null) {
                int c = m.compare(key, hi);
                if (c > 0 || (c == 0 && !hiInclusive))
                    return true;
            }
            return false;
        }

        private boolean inBounds(K key) {
            return !tooLow(key) && !tooHigh(key);
        }

        private void checkKeyBounds(K key) throws IllegalArgumentException {
            if (key == null)
                throw new NullPointerException();
            if (!inBounds(key))
                throw new IllegalArgumentException("key out of range");
        }

        /**
         * Returns true if node key is less than upper bound of range
         */
        private boolean isBeforeEnd(ConcurrentSkipListMap.Node<K,V> n) {
            if (n == null)
                return false;
            if (hi == null)
                return true;
            K k = n.key;
            if (k == null) // pass by markers and headers
                return true;
            int c = m.compare(k, hi);
            if (c > 0 || (c == 0 && !hiInclusive))
                return false;
            return true;
        }

        /**
         * Returns lowest node. This node might not be in range, so
         * most usages need to check bounds
         */
        private ConcurrentSkipListMap.Node<K,V> loNode() {
            if (lo == null)
                return m.findFirst();
            else if (loInclusive)
                return m.findNear(lo, m.GT|m.EQ);
            else
                return m.findNear(lo, m.GT);
        }

        /**
         * Returns highest node. This node might not be in range, so
         * most usages need to check bounds
         */
        private ConcurrentSkipListMap.Node<K,V> hiNode() {
            if (hi == null)
                return m.findLast();
            else if (hiInclusive)
                return m.findNear(hi, m.LT|m.EQ);
            else
                return m.findNear(hi, m.LT);
        }

        /**
         * Returns lowest absolute key (ignoring directonality)
         */
        private K lowestKey() {
            ConcurrentSkipListMap.Node<K,V> n = loNode();
            if (isBeforeEnd(n))
                return n.key;
            else
                throw new NoSuchElementException();
        }

        /**
         * Returns highest absolute key (ignoring directonality)
         */
        private K highestKey() {
            ConcurrentSkipListMap.Node<K,V> n = hiNode();
            if (n != null) {
                K last = n.key;
                if (inBounds(last))
                    return last;
            }
            throw new NoSuchElementException();
        }

        private Map.Entry<K,V> lowestEntry() {
            for (;;) {
                ConcurrentSkipListMap.Node<K,V> n = loNode();
                if (!isBeforeEnd(n))
                    return null;
                Map.Entry<K,V> e = n.createSnapshot();
                if (e != null)
                    return e;
            }
        }

        private Map.Entry<K,V> highestEntry() {
            for (;;) {
                ConcurrentSkipListMap.Node<K,V> n = hiNode();
                if (n == null || !inBounds(n.key))
                    return null;
                Map.Entry<K,V> e = n.createSnapshot();
                if (e != null)
                    return e;
            }
        }

        private Map.Entry<K,V> removeLowest() {
            for (;;) {
                Node<K,V> n = loNode();
                if (n == null)
                    return null;
                K k = n.key;
                if (!inBounds(k))
                    return null;
                V v = m.doRemove(k, null);
                if (v != null)
                    return new AbstractMap.SimpleImmutableEntry<K,V>(k, v);
            }
        }

        private Map.Entry<K,V> removeHighest() {
            for (;;) {
                Node<K,V> n = hiNode();
                if (n == null)
                    return null;
                K k = n.key;
                if (!inBounds(k))
                    return null;
                V v = m.doRemove(k, null);
                if (v != null)
                    return new AbstractMap.SimpleImmutableEntry<K,V>(k, v);
            }
        }

        /**
         * Submap version of ConcurrentSkipListMap.getNearEntry
         */
        private Map.Entry<K,V> getNearEntry(K key, int rel) {
            if (isDescending) { // adjust relation for direction
                if ((rel & m.LT) == 0)
                    rel |= m.LT;
                else
                    rel &= ~m.LT;
            }
            if (tooLow(key))
                return ((rel & m.LT) != 0) ? null : lowestEntry();
            if (tooHigh(key))
                return ((rel & m.LT) != 0) ? highestEntry() : null;
            for (;;) {
                Node<K,V> n = m.findNear(key, rel);
                if (n == null || !inBounds(n.key))
                    return null;
                K k = n.key;
                V v = n.getValidValue();
                if (v != null)
                    return new AbstractMap.SimpleImmutableEntry<K,V>(k, v);
            }
        }

        // Almost the same as getNearEntry, except for keys
        private K getNearKey(K key, int rel) {
            if (isDescending) { // adjust relation for direction
                if ((rel & m.LT) == 0)
                    rel |= m.LT;
                else
                    rel &= ~m.LT;
            }
            if (tooLow(key)) {
                if ((rel & m.LT) == 0) {
                    ConcurrentSkipListMap.Node<K,V> n = loNode();
                    if (isBeforeEnd(n))
                        return n.key;
                }
                return null;
            }
            if (tooHigh(key)) {
                if ((rel & m.LT) != 0) {
                    ConcurrentSkipListMap.Node<K,V> n = hiNode();
                    if (n != null) {
                        K last = n.key;
                        if (inBounds(last))
                            return last;
                    }
                }
                return null;
            }
            for (;;) {
                Node<K,V> n = m.findNear(key, rel);
                if (n == null || !inBounds(n.key))
                    return null;
                K k = n.key;
                V v = n.getValidValue();
                if (v != null)
                    return k;
            }
        }

        /* ----------------  Map API methods -------------- */

        public boolean containsKey(Object key) {
            if (key == null) throw new NullPointerException();
            K k = (K)key;
            return inBounds(k) && m.containsKey(k);
        }

        public V get(Object key) {
            if (key == null) throw new NullPointerException();
            K k = (K)key;
            return ((!inBounds(k)) ? null : m.get(k));
        }

        public V put(K key, V value) {
            checkKeyBounds(key);
            return m.put(key, value);
        }

        public V remove(Object key) {
            K k = (K)key;
            return (!inBounds(k)) ? null : m.remove(k);
        }

        public int size() {
            long count = 0;
            for (ConcurrentSkipListMap.Node<K,V> n = loNode();
                 isBeforeEnd(n);
                 n = n.next) {
                if (n.getValidValue() != null)
                    ++count;
            }
            return count >= Integer.MAX_VALUE ? Integer.MAX_VALUE : (int)count;
        }

        public boolean isEmpty() {
            return !isBeforeEnd(loNode());
        }

        public boolean containsValue(Object value) {
            if (value == null)
                throw new NullPointerException();
            for (ConcurrentSkipListMap.Node<K,V> n = loNode();
                 isBeforeEnd(n);
                 n = n.next) {
                V v = n.getValidValue();
                if (v != null && value.equals(v))
                    return true;
            }
            return false;
        }

        public void clear() {
            for (ConcurrentSkipListMap.Node<K,V> n = loNode();
                 isBeforeEnd(n);
                 n = n.next) {
                if (n.getValidValue() != null)
                    m.remove(n.key);
            }
        }

        /* ----------------  ConcurrentMap API methods -------------- */

        public V putIfAbsent(K key, V value) {
            checkKeyBounds(key);
            return m.putIfAbsent(key, value);
        }

        public boolean remove(Object key, Object value) {
            K k = (K)key;
            return inBounds(k) && m.remove(k, value);
        }

        public boolean replace(K key, V oldValue, V newValue) {
            checkKeyBounds(key);
            return m.replace(key, oldValue, newValue);
        }

        public V replace(K key, V value) {
            checkKeyBounds(key);
            return m.replace(key, value);
        }

        /* ----------------  SortedMap API methods -------------- */

        public Comparator<? super K> comparator() {
            Comparator<? super K> cmp = m.comparator();
            if (isDescending)
                return Collections.reverseOrder(cmp);
            else
                return cmp;
        }

        /**
         * Utility to create submaps, where given bounds override
         * unbounded(null) ones and/or are checked against bounded ones.
         */
        private SubMap<K,V> newSubMap(K fromKey,
                                      boolean fromInclusive,
                                      K toKey,
                                      boolean toInclusive) {
            if (isDescending) { // flip senses
                K tk = fromKey;
                fromKey = toKey;
                toKey = tk;
                boolean ti = fromInclusive;
                fromInclusive = toInclusive;
                toInclusive = ti;
            }
            if (lo != null) {
                if (fromKey == null) {
                    fromKey = lo;
                    fromInclusive = loInclusive;
                }
                else {
                    int c = m.compare(fromKey, lo);
                    if (c < 0 || (c == 0 && !loInclusive && fromInclusive))
                        throw new IllegalArgumentException("key out of range");
                }
            }
            if (hi != null) {
                if (toKey == null) {
                    toKey = hi;
                    toInclusive = hiInclusive;
                }
                else {
                    int c = m.compare(toKey, hi);
                    if (c > 0 || (c == 0 && !hiInclusive && toInclusive))
                        throw new IllegalArgumentException("key out of range");
                }
            }
            return new SubMap<K,V>(m, fromKey, fromInclusive,
                                   toKey, toInclusive, isDescending);
        }

        public SubMap<K,V> subMap(K fromKey,
                                  boolean fromInclusive,
                                  K toKey,
                                  boolean toInclusive) {
            if (fromKey == null || toKey == null)
                throw new NullPointerException();
            return newSubMap(fromKey, fromInclusive, toKey, toInclusive);
        }

        public SubMap<K,V> headMap(K toKey,
                                   boolean inclusive) {
            if (toKey == null)
                throw new NullPointerException();
            return newSubMap(null, false, toKey, inclusive);
        }

        public SubMap<K,V> tailMap(K fromKey,
                                   boolean inclusive) {
            if (fromKey == null)
                throw new NullPointerException();
            return newSubMap(fromKey, inclusive, null, false);
        }

        public SubMap<K,V> subMap(K fromKey, K toKey) {
            return subMap(fromKey, true, toKey, false);
        }

        public SubMap<K,V> headMap(K toKey) {
            return headMap(toKey, false);
        }

        public SubMap<K,V> tailMap(K fromKey) {
            return tailMap(fromKey, true);
        }

        public SubMap<K,V> descendingMap() {
            return new SubMap<K,V>(m, lo, loInclusive,
                                   hi, hiInclusive, !isDescending);
        }

        /* ----------------  Relational methods -------------- */

        public Map.Entry<K,V> ceilingEntry(K key) {
            return getNearEntry(key, (m.GT|m.EQ));
        }

        public K ceilingKey(K key) {
            return getNearKey(key, (m.GT|m.EQ));
        }

        public Map.Entry<K,V> lowerEntry(K key) {
            return getNearEntry(key, (m.LT));
        }

        public K lowerKey(K key) {
            return getNearKey(key, (m.LT));
        }

        public Map.Entry<K,V> floorEntry(K key) {
            return getNearEntry(key, (m.LT|m.EQ));
        }

        public K floorKey(K key) {
            return getNearKey(key, (m.LT|m.EQ));
        }

        public Map.Entry<K,V> higherEntry(K key) {
            return getNearEntry(key, (m.GT));
        }

        public K higherKey(K key) {
            return getNearKey(key, (m.GT));
        }

        public K firstKey() {
            return isDescending ? highestKey() : lowestKey();
        }

        public K lastKey() {
            return isDescending ? lowestKey() : highestKey();
        }

        public Map.Entry<K,V> firstEntry() {
            return isDescending ? highestEntry() : lowestEntry();
        }

        public Map.Entry<K,V> lastEntry() {
            return isDescending ? lowestEntry() : highestEntry();
        }

        public Map.Entry<K,V> pollFirstEntry() {
            return isDescending ? removeHighest() : removeLowest();
        }

        public Map.Entry<K,V> pollLastEntry() {
            return isDescending ? removeLowest() : removeHighest();
        }

        /* ---------------- Submap Views -------------- */

        public NavigableSet<K> keySet() {
            KeySet<K> ks = keySetView;
            return (ks != null) ? ks : (keySetView = new KeySet(this));
        }

        public NavigableSet<K> navigableKeySet() {
            KeySet<K> ks = keySetView;
            return (ks != null) ? ks : (keySetView = new KeySet(this));
        }

        public Collection<V> values() {
            Collection<V> vs = valuesView;
            return (vs != null) ? vs : (valuesView = new Values(this));
        }

        public Set<Map.Entry<K,V>> entrySet() {
            Set<Map.Entry<K,V>> es = entrySetView;
            return (es != null) ? es : (entrySetView = new EntrySet(this));
        }

        public NavigableSet<K> descendingKeySet() {
            return descendingMap().navigableKeySet();
        }

        Iterator<K> keyIterator() {
            return new SubMapKeyIterator();
        }

        Iterator<V> valueIterator() {
            return new SubMapValueIterator();
        }

        Iterator<Map.Entry<K,V>> entryIterator() {
            return new SubMapEntryIterator();
        }

        /**
         * Variant of main Iter class to traverse through submaps.
         */
        abstract class SubMapIter<T> implements Iterator<T> {
            /** the last node returned by next() */
            Node<K,V> lastReturned;
            /** the next node to return from next(); */
            Node<K,V> next;
            /** Cache of next value field to maintain weak consistency */
            V nextValue;

            SubMapIter() {
                for (;;) {
                    next = isDescending ? hiNode() : loNode();
                    if (next == null)
                        break;
                    Object x = next.value;
                    if (x != null && x != next) {
                        if (! inBounds(next.key))
                            next = null;
                        else
                            nextValue = (V) x;
                        break;
                    }
                }
            }

            public final boolean hasNext() {
                return next != null;
            }

            final void advance() {
                if (next == null)
                    throw new NoSuchElementException();
                lastReturned = next;
                if (isDescending)
                    descend();
                else
                    ascend();
            }

            private void ascend() {
                for (;;) {
                    next = next.next;
                    if (next == null)
                        break;
                    Object x = next.value;
                    if (x != null && x != next) {
                        if (tooHigh(next.key))
                            next = null;
                        else
                            nextValue = (V) x;
                        break;
                    }
                }
            }

            private void descend() {
                for (;;) {
                    next = m.findNear(lastReturned.key, LT);
                    if (next == null)
                        break;
                    Object x = next.value;
                    if (x != null && x != next) {
                        if (tooLow(next.key))
                            next = null;
                        else
                            nextValue = (V) x;
                        break;
                    }
                }
            }

            public void remove() {
                Node<K,V> l = lastReturned;
                if (l == null)
                    throw new IllegalStateException();
                m.remove(l.key);
                lastReturned = null;
            }

        }

        final class SubMapValueIterator extends SubMapIter<V> {
            public V next() {
                V v = nextValue;
                advance();
                return v;
            }
        }

        final class SubMapKeyIterator extends SubMapIter<K> {
            public K next() {
                Node<K,V> n = next;
                advance();
                return n.key;
            }
        }

        final class SubMapEntryIterator extends SubMapIter<Map.Entry<K,V>> {
            public Map.Entry<K,V> next() {
                Node<K,V> n = next;
                V v = nextValue;
                advance();
                return new AbstractMap.SimpleImmutableEntry<K,V>(n.key, v);
            }
        }
    }

    // Unsafe mechanics
    private static final sun.misc.Unsafe UNSAFE;
    private static final long headOffset;
    static {
        try {
            UNSAFE = sun.misc.Unsafe.getUnsafe();
            Class k = ConcurrentSkipListMap.class;
            headOffset = UNSAFE.objectFieldOffset
                (k.getDeclaredField("head"));
        } catch (Exception e) {
            throw new Error(e);
        }
    }
}

 

下面从ConcurrentSkipListMap的添加，删除，获取这3个方面对它进行分析。

1. 添加

下面以put(K key, V value)为例，对ConcurrentSkipListMap的添加方法进行说明。

public V put(K key, V value) {
    if (value == null)
        throw new NullPointerException();
    return doPut(key, value, false);
}

实际上，put()是通过doPut()将key-value键值对添加到ConcurrentSkipListMap中的。

doPut()的源码如下：

private V doPut(K kkey, V value, boolean onlyIfAbsent) {
    Comparable<? super K> key = comparable(kkey);
    for (;;) {
        // 找到key的前继节点
        Node<K,V> b = findPredecessor(key);
        // 设置n为“key的前继节点的后继节点”，即n应该是“插入节点”的“后继节点”
        Node<K,V> n = b.next;
        for (;;) {
            if (n != null) {
                Node<K,V> f = n.next;
                // 如果两次获得的b.next不是相同的Node，就跳转到”外层for循环“，重新获得b和n后再遍历。
                if (n != b.next)
                    break;
                // v是“n的值”
                Object v = n.value;
                // 当n的值为null(意味着其它线程删除了n)；此时删除b的下一个节点，然后跳转到”外层for循环“，重新获得b和n后再遍历。
                if (v == null) {               // n is deleted
                    n.helpDelete(b, f);
                    break;
                }
                // 如果其它线程删除了b；则跳转到”外层for循环“，重新获得b和n后再遍历。
                if (v == n || b.value == null) // b is deleted
                    break;
                // 比较key和n.key
                int c = key.compareTo(n.key);
                if (c > 0) {
                    b = n;
                    n = f;
                    continue;
                }
                if (c == 0) {
                    if (onlyIfAbsent || n.casValue(v, value))
                        return (V)v;
                    else
                        break; // restart if lost race to replace value
                }
                // else c < 0; fall through
            }

            // 新建节点(对应是“要插入的键值对”)
            Node<K,V> z = new Node<K,V>(kkey, value, n);
            // 设置“b的后继节点”为z
            if (!b.casNext(n, z))
                break;         // 多线程情况下，break才可能发生(其它线程对b进行了操作)
            // 随机获取一个level
            // 然后在“第1层”到“第level层”的链表中都插入新建节点
            int level = randomLevel();
            if (level > 0)
                insertIndex(z, level);
            return null;
        }
    }
}

说明：doPut() 的作用就是将键值对添加到“跳表”中。
要想搞清doPut()，首先要弄清楚它的主干部分 —— 我们先单纯的只考虑“单线程的情况下，将key-value添加到跳表中”，即忽略“多线程相关的内容”。它的流程如下：
第1步：找到“插入位置”。
即，找到“key的前继节点(b)”和“key的后继节点(n)”；key是要插入节点的键。
第2步：新建并插入节点。
即，新建节点z(key对应的节点)，并将新节点z插入到“跳表”中(设置“b的后继节点为z”，“z的后继节点为n”)。
第3步：更新跳表。
即，随机获取一个level，然后在“跳表”的第1层～第level层之间，每一层都插入节点z；在第level层之上就不再插入节点了。若level数值大于“跳表的层次”，则新建一层。
主干部分“对应的精简后的doPut()的代码”如下(仅供参考)：

private V doPut(K kkey, V value, boolean onlyIfAbsent) {
    Comparable<? super K> key = comparable(kkey);
    for (;;) {
        // 找到key的前继节点
        Node<K,V> b = findPredecessor(key);
        // 设置n为key的后继节点
        Node<K,V> n = b.next;
        for (;;) {
            
            // 新建节点(对应是“要被插入的键值对”)
            Node<K,V> z = new Node<K,V>(kkey, value, n);
            // 设置“b的后继节点”为z
            b.casNext(n, z);

            // 随机获取一个level
            // 然后在“第1层”到“第level层”的链表中都插入新建节点
            int level = randomLevel();
            if (level > 0)
                insertIndex(z, level);
            return null;
        }
    }
}

理清主干之后，剩余的工作就相对简单了。主要是上面几步的对应算法的具体实现，以及多线程相关情况的处理！

2. 删除

下面以remove(Object key)为例，对ConcurrentSkipListMap的删除方法进行说明。

public V remove(Object key) {
    return doRemove(key, null);
}

实际上，remove()是通过doRemove()将ConcurrentSkipListMap中的key对应的键值对删除的。

doRemove()的源码如下：

final V doRemove(Object okey, Object value) {
    Comparable<? super K> key = comparable(okey);
    for (;;) {
        // 找到“key的前继节点”
        Node<K,V> b = findPredecessor(key);
        // 设置n为“b的后继节点”(即若key存在于“跳表中”，n就是key对应的节点)
        Node<K,V> n = b.next;
        for (;;) {
            if (n == null)
                return null;
            // f是“当前节点n的后继节点”
            Node<K,V> f = n.next;
            // 如果两次读取到的“b的后继节点”不同(其它线程操作了该跳表)，则返回到“外层for循环”重新遍历。
            if (n != b.next)                    // inconsistent read
                break;
            // 如果“当前节点n的值”变为null(其它线程操作了该跳表)，则返回到“外层for循环”重新遍历。
            Object v = n.value;
            if (v == null) {                    // n is deleted
                n.helpDelete(b, f);
                break;
            }
            // 如果“前继节点b”被删除(其它线程操作了该跳表)，则返回到“外层for循环”重新遍历。
            if (v == n || b.value == null)      // b is deleted
                break;
            int c = key.compareTo(n.key);
            if (c < 0)
                return null;
            if (c > 0) {
                b = n;
                n = f;
                continue;
            }

            // 以下是c=0的情况
            if (value != null && !value.equals(v))
                return null;
            // 设置“当前节点n”的值为null
            if (!n.casValue(v, null))
                break;
            // 设置“b的后继节点”为f
            if (!n.appendMarker(f) || !b.casNext(n, f))
                findNode(key);                  // Retry via findNode
            else {
                // 清除“跳表”中每一层的key节点
                findPredecessor(key);           // Clean index
                // 如果“表头的右索引为空”，则将“跳表的层次”-1。
                if (head.right == null)
                    tryReduceLevel();
            }
            return (V)v;
        }
    }
}

说明：doRemove()的作用是删除跳表中的节点。
和doPut()一样，我们重点看doRemove()的主干部分，了解主干部分之后，其余部分就非常容易理解了。下面是“单线程的情况下，删除跳表中键值对的步骤”：
第1步：找到“被删除节点的位置”。
即，找到“key的前继节点(b)”，“key所对应的节点(n)”，“n的后继节点f”；key是要删除节点的键。
第2步：删除节点。
即，将“key所对应的节点n”从跳表中移除 -- 将“b的后继节点”设为“f”！
第3步：更新跳表。
即，遍历跳表，删除每一层的“key节点”(如果存在的话)。如果删除“key节点”之后，跳表的层次需要-1；则执行相应的操作！
主干部分“对应的精简后的doRemove()的代码”如下(仅供参考)：

final V doRemove(Object okey, Object value) {
    Comparable<? super K> key = comparable(okey);
    for (;;) {
        // 找到“key的前继节点”
        Node<K,V> b = findPredecessor(key);
        // 设置n为“b的后继节点”(即若key存在于“跳表中”，n就是key对应的节点)
        Node<K,V> n = b.next;
        for (;;) {
            // f是“当前节点n的后继节点”
            Node<K,V> f = n.next;

            // 设置“当前节点n”的值为null
            n.casValue(v, null);

            // 设置“b的后继节点”为f
            b.casNext(n, f);
            // 清除“跳表”中每一层的key节点
            findPredecessor(key);
            // 如果“表头的右索引为空”，则将“跳表的层次”-1。
            if (head.right == null)
                tryReduceLevel();
            return (V)v;
        }
    }
}

3. 获取

下面以get(Object key)为例，对ConcurrentSkipListMap的获取方法进行说明。

public V get(Object key) {
    return doGet(key);
}

doGet的源码如下：

private V doGet(Object okey) {
    Comparable<? super K> key = comparable(okey);
    for (;;) {
        // 找到“key对应的节点”
        Node<K,V> n = findNode(key);
        if (n == null)
            return null;
        Object v = n.value;
        if (v != null)
            return (V)v;
    }
}

说明：doGet()是通过findNode()找到并返回节点的。

private Node<K,V> findNode(Comparable<? super K> key) {
    for (;;) {
        // 找到key的前继节点
        Node<K,V> b = findPredecessor(key);
        // 设置n为“b的后继节点”(即若key存在于“跳表中”，n就是key对应的节点)
        Node<K,V> n = b.next;
        for (;;) {
            // 如果“n为null”，则跳转中不存在key对应的节点，直接返回null。
            if (n == null)
                return null;
            Node<K,V> f = n.next;
            // 如果两次读取到的“b的后继节点”不同(其它线程操作了该跳表)，则返回到“外层for循环”重新遍历。
            if (n != b.next)                // inconsistent read
                break;
            Object v = n.value;
            // 如果“当前节点n的值”变为null(其它线程操作了该跳表)，则返回到“外层for循环”重新遍历。
            if (v == null) {                // n is deleted
                n.helpDelete(b, f);
                break;
            }
            if (v == n || b.value == null)  // b is deleted
                break;
            // 若n是当前节点，则返回n。
            int c = key.compareTo(n.key);
            if (c == 0)
                return n;
            // 若“节点n的key”小于“key”，则说明跳表中不存在key对应的节点，返回null
            if (c < 0)
                return null;
            // 若“节点n的key”大于“key”，则更新b和n，继续查找。
            b = n;
            n = f;
        }
    }
}

说明：findNode(key)的作用是在返回跳表中key对应的节点；存在则返回节点，不存在则返回null。
先弄清函数的主干部分，即抛开“多线程相关内容”，单纯的考虑单线程情况下，从跳表获取节点的算法。
第1步：找到“被删除节点的位置”。
根据findPredecessor()定位key所在的层次以及找到key的前继节点(b)，然后找到b的后继节点n。
第2步：根据“key的前继节点(b)”和“key的前继节点的后继节点(n)”来定位“key对应的节点”。
具体是通过比较“n的键值”和“key”的大小。如果相等，则n就是所要查找的键。

ConcurrentSkipListMap示例

import java.util.*;
import java.util.concurrent.*;

/*
 *   ConcurrentSkipListMap是“线程安全”的哈希表，而TreeMap是非线程安全的。
 *
 *   下面是“多个线程同时操作并且遍历map”的示例
 *   (01) 当map是ConcurrentSkipListMap对象时，程序能正常运行。
 *   (02) 当map是TreeMap对象时，程序会产生ConcurrentModificationException异常。
 *
 * @author skywang
 */
public class ConcurrentSkipListMapDemo1 {

    // TODO: map是TreeMap对象时，程序会出错。
    //private static Map<String, String> map = new TreeMap<String, String>();
    private static Map<String, String> map = new ConcurrentSkipListMap<String, String>();
    public static void main(String[] args) {
    
        // 同时启动两个线程对map进行操作！
        new MyThread("a").start();
        new MyThread("b").start();
    }

    private static void printAll() {
        String key, value;
        Iterator iter = map.entrySet().iterator();
        while(iter.hasNext()) {
            Map.Entry entry = (Map.Entry)iter.next();
            key = (String)entry.getKey();
            value = (String)entry.getValue();
            System.out.print("("+key+", "+value+"), ");
        }
        System.out.println();
    }

    private static class MyThread extends Thread {
        MyThread(String name) {
            super(name);
        }
        @Override
        public void run() {
                int i = 0;
            while (i++ < 6) {
                // “线程名” + "序号"
                String val = Thread.currentThread().getName()+i;
                map.put(val, "0");
                // 通过“Iterator”遍历map。
                printAll();
            }
        }
    }
}

(某一次)运行结果：

(a1, 0), (a1, 0), (b1, 0), (b1, 0),

(a1, 0), (b1, 0), (b2, 0), 
(a1, 0), (a1, 0), (a2, 0), (a2, 0), (b1, 0), (b1, 0), (b2, 0), (b2, 0), (b3, 0), 
(b3, 0), (a1, 0), 
(a2, 0), (a3, 0), (a1, 0), (b1, 0), (a2, 0), (b2, 0), (a3, 0), (b3, 0), (b1, 0), (b4, 0), 
(b2, 0), (a1, 0), (b3, 0), (a2, 0), (b4, 0), 
(a3, 0), (a1, 0), (a4, 0), (a2, 0), (b1, 0), (a3, 0), (b2, 0), (a4, 0), (b3, 0), (b1, 0), (b4, 0), (b2, 0), (b5, 0), 
(b3, 0), (a1, 0), (b4, 0), (a2, 0), (b5, 0), 
(a3, 0), (a1, 0), (a4, 0), (a2, 0), (a5, 0), (a3, 0), (b1, 0), (a4, 0), (b2, 0), (a5, 0), (b3, 0), (b1, 0), (b4, 0), (b2, 0), (b5, 0), (b3, 0), (b6, 0), 
(b4, 0), (a1, 0), (b5, 0), (a2, 0), (b6, 0), 
(a3, 0), (a4, 0), (a5, 0), (a6, 0), (b1, 0), (b2, 0), (b3, 0), (b4, 0), (b5, 0), (b6, 0), 

结果说明：
示例程序中，启动两个线程(线程a和线程b)分别对ConcurrentSkipListMap进行操作。以线程a而言，它会先获取“线程名”+“序号”，然后将该字符串作为key，将“0”作为value，插入到ConcurrentSkipListMap中；接着，遍历并输出ConcurrentSkipListMap中的全部元素。 线程b的操作和线程a一样，只不过线程b的名字和线程a的名字不同。
当map是ConcurrentSkipListMap对象时，程序能正常运行。如果将map改为TreeMap时，程序会产生ConcurrentModificationException异常。

 

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