mysql add foreign key constraint example
Posted: May 20th, 2012 | Author: admin | Filed under: Uncategorized | No Comments »VEry simple query to write
alter table jobs add constraint FK_poster_is foreign key (`posted_by_id`) references Account(id)
VEry simple query to write
alter table jobs add constraint FK_poster_is foreign key (`posted_by_id`) references Account(id)
A Simple example to explain Factory pattern in Java
/* GUIFactory example -- */
interface GUIFactory {
public Button createButton();
}
class WinFactory implements GUIFactory {
public Button createButton() {
return new WinButton();
}
}
class OSXFactory implements GUIFactory {
public Button createButton() {
return new OSXButton();
}
}
interface Button {
public void paint();
}
class WinButton implements Button {
public void paint() {
System.out.println("I'm a WinButton");
}
}
class OSXButton implements Button {
public void paint() {
System.out.println("I'm an OSXButton");
}
}
class Application {
public Application(GUIFactory factory) {
Button button = factory.createButton();
button.paint();
}
}
public class ApplicationRunner {
public static void main(String[] args) {
new Application(createOsSpecificFactory());
}
public static GUIFactory createOsSpecificFactory() {
int sys = readFromConfigFile("OS_TYPE");
if (sys == 0) {
return new WinFactory();
} else {
return new OSXFactory();
}
}
}
http://memoryanalyzer.blogspot.com/2010/01/heap-dump-analysis-with-memory-analyzer.html
http://java.dzone.com/news/how-fix-memory-leaks-java
What is Reentrant Synchronization in Java?
We know that a thread can not acquire a monitor which is owned by another thread. A thread own a monitor for the period between the time it acquires the monitor for entering a synchronized method/block and the time when it releases the monitor when the thread either returns from the method (or completes the block) OR throws an uncaught exception.
But, a thread is allowed to acquire a monitor owned by itself. Confused? Why would a thread need to acquire a monitor which it already owns? It heppens when a synchronized code either directly or indirectly invokes a synchronized method/block which requires the same monitor. For example: a recursive synchronized method. Allowing a thread to acquire the monitor it already owns is called Reentrant Synchronization and without which it’ll be very difficult to ensure that a thread in Java doesn’t block itself.
Source:http://geekexplains.blogspot.com/2008/07/what-is-reentrant-synchronization-in.html
This implementation provides constant-time performance for the basic An instance of HashMap has two parameters that affect its As a general rule, the default load factor (.75) offers a good tradeoff If many mappings are to be stored in a HashMap instance, Note that this implementation is not synchronized. 87 * The iterators returned by all of this class's "collection view methods" Note that the fail-fast behavior of an iterator cannot be guaranteed This class is a member of the More formally, if this map contains a mapping from a key A return value of {@code null} does not necessarily
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1 /*
2 * Copyright (c) 1997, 2010, Oracle and/or its affiliates. All rights reserved.
3 * DO NOT ALTER OR REMOVE COPYRIGHT NOTICES OR THIS FILE HEADER.
4 *
5 * This code is free software; you can redistribute it and/or modify it
6 * under the terms of the GNU General Public License version 2 only, as
7 * published by the Free Software Foundation. Oracle designates this
8 * particular file as subject to the "Classpath" exception as provided
9 * by Oracle in the LICENSE file that accompanied this code.
10 *
11 * This code is distributed in the hope that it will be useful, but WITHOUT
12 * ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
13 * FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License
14 * version 2 for more details (a copy is included in the LICENSE file that
15 * accompanied this code).
16 *
17 * You should have received a copy of the GNU General Public License version
18 * 2 along with this work; if not, write to the Free Software Foundation,
19 * Inc., 51 Franklin St, Fifth Floor, Boston, MA 02110-1301 USA.
20 *
21 * Please contact Oracle, 500 Oracle Parkway, Redwood Shores, CA 94065 USA
22 * or visit www.oracle.com if you need additional information or have any
23 * questions.
24 */
25
26 package java.util;
27 import java.io;
28
29 /**
30 * Hash table based implementation of the Map interface. This
31 * implementation provides all of the optional map operations, and permits
32 * null values and the null key. (The HashMap
33 * class is roughly equivalent to Hashtable, except that it is
34 * unsynchronized and permits nulls.) This class makes no guarantees as to
35 * the order of the map; in particular, it does not guarantee that the order
36 * will remain constant over time.
37 *
38 *
39 * operations (get and put), assuming the hash function
40 * disperses the elements properly among the buckets. Iteration over
41 * collection views requires time proportional to the "capacity" of the
42 * HashMap instance (the number of buckets) plus its size (the number
43 * of key-value mappings). Thus, it's very important not to set the initial
44 * capacity too high (or the load factor too low) if iteration performance is
45 * important.
46 *
47 *
48 * performance: initial capacity and load factor. The
49 * capacity is the number of buckets in the hash table, and the initial
50 * capacity is simply the capacity at the time the hash table is created. The
51 * load factor is a measure of how full the hash table is allowed to
52 * get before its capacity is automatically increased. When the number of
53 * entries in the hash table exceeds the product of the load factor and the
54 * current capacity, the hash table is rehashed (that is, internal data
55 * structures are rebuilt) so that the hash table has approximately twice the
56 * number of buckets.
57 *
58 *
59 * between time and space costs. Higher values decrease the space overhead
60 * but increase the lookup cost (reflected in most of the operations of the
61 * HashMap class, including get and put). The
62 * expected number of entries in the map and its load factor should be taken
63 * into account when setting its initial capacity, so as to minimize the
64 * number of rehash operations. If the initial capacity is greater
65 * than the maximum number of entries divided by the load factor, no
66 * rehash operations will ever occur.
67 *
68 *
69 * creating it with a sufficiently large capacity will allow the mappings to
70 * be stored more efficiently than letting it perform automatic rehashing as
71 * needed to grow the table.
72 *
73 *
74 * If multiple threads access a hash map concurrently, and at least one of
75 * the threads modifies the map structurally, it must be
76 * synchronized externally. (A structural modification is any operation
77 * that adds or deletes one or more mappings; merely changing the value
78 * associated with a key that an instance already contains is not a
79 * structural modification.) This is typically accomplished by
80 * synchronizing on some object that naturally encapsulates the map.
81 *
82 * If no such object exists, the map should be "wrapped" using the
83 * {@link Collections#synchronizedMap Collections.synchronizedMap}
84 * method. This is best done at creation time, to prevent accidental
85 * unsynchronized access to the map:
86 * Map m = Collections.synchronizedMap(new HashMap(...));
88 *
89 * are fail-fast: if the map is structurally modified at any time after
90 * the iterator is created, in any way except through the iterator's own
91 * remove method, the iterator will throw a
92 * {@link ConcurrentModificationException}. Thus, in the face of concurrent
93 * modification, the iterator fails quickly and cleanly, rather than risking
94 * arbitrary, non-deterministic behavior at an undetermined time in the
95 * future.
96 *
97 *
98 * as it is, generally speaking, impossible to make any hard guarantees in the
99 * presence of unsynchronized concurrent modification. Fail-fast iterators
100 * throw ConcurrentModificationException on a best-effort basis.
101 * Therefore, it would be wrong to write a program that depended on this
102 * exception for its correctness: the fail-fast behavior of iterators
103 * should be used only to detect bugs.
104 *
105 *
106 *
107 * Java Collections Framework.
108 *
109 * @param
110 * @param
111 *
112 * @author Doug Lea
113 * @author Josh Bloch
114 * @author Arthur van Hoff
115 * @author Neal Gafter
116 * @see Object#hashCode()
117 * @see Collection
118 * @see Map
119 * @see TreeMap
120 * @see Hashtable
121 * @since 1.2
122 */
123
124 public class HashMap
125 extends AbstractMap
126 implements Map
127 {
128
129 /**
130 * The default initial capacity - MUST be a power of two.
131 */
132 static final int DEFAULT_INITIAL_CAPACITY = 16;
133
134 /**
135 * The maximum capacity, used if a higher value is implicitly specified
136 * by either of the constructors with arguments.
137 * MUST be a power of two <= 1<<30.
138 */
139 static final int MAXIMUM_CAPACITY = 1 << 30;
140
141 /**
142 * The load factor used when none specified in constructor.
143 */
144 static final float DEFAULT_LOAD_FACTOR = 0.75f;
145
146 /**
147 * The table, resized as necessary. Length MUST Always be a power of two.
148 */
149 transient Entry[] table;
150
151 /**
152 * The number of key-value mappings contained in this map.
153 */
154 transient int size;
155
156 /**
157 * The next size value at which to resize (capacity * load factor).
158 * @serial
159 */
160 int threshold;
161
162 /**
163 * The load factor for the hash table.
164 *
165 * @serial
166 */
167 final float loadFactor;
168
169 /**
170 * The number of times this HashMap has been structurally modified
171 * Structural modifications are those that change the number of mappings in
172 * the HashMap or otherwise modify its internal structure (e.g.,
173 * rehash). This field is used to make iterators on Collection-views of
174 * the HashMap fail-fast. (See ConcurrentModificationException).
175 */
176 transient int modCount;
177
178 /**
179 * Constructs an empty HashMap with the specified initial
180 * capacity and load factor.
181 *
182 * @param initialCapacity the initial capacity
183 * @param loadFactor the load factor
184 * @throws IllegalArgumentException if the initial capacity is negative
185 * or the load factor is nonpositive
186 */
187 public HashMap(int initialCapacity, float loadFactor) {
188 if (initialCapacity < 0)
189 throw new IllegalArgumentException("Illegal initial capacity: " +
190 initialCapacity);
191 if (initialCapacity > MAXIMUM_CAPACITY)
192 initialCapacity = MAXIMUM_CAPACITY;
193 if (loadFactor <= 0 || Float.isNaN(loadFactor))
194 throw new IllegalArgumentException("Illegal load factor: " +
195 loadFactor);
196
197 // Find a power of 2 >= initialCapacity
198 int capacity = 1;
199 while (capacity < initialCapacity)
200 capacity <<= 1;
201
202 this.loadFactor = loadFactor;
203 threshold = (int)(capacity * loadFactor);
204 table = new Entry[capacity];
205 init();
206 }
207
208 /**
209 * Constructs an empty HashMap with the specified initial
210 * capacity and the default load factor (0.75).
211 *
212 * @param initialCapacity the initial capacity.
213 * @throws IllegalArgumentException if the initial capacity is negative.
214 */
215 public HashMap(int initialCapacity) {
216 this(initialCapacity, DEFAULT_LOAD_FACTOR);
217 }
218
219 /**
220 * Constructs an empty HashMap with the default initial capacity
221 * (16) and the default load factor (0.75).
222 */
223 public HashMap() {
224 this.loadFactor = DEFAULT_LOAD_FACTOR;
225 threshold = (int)(DEFAULT_INITIAL_CAPACITY * DEFAULT_LOAD_FACTOR);
226 table = new Entry[DEFAULT_INITIAL_CAPACITY];
227 init();
228 }
229
230 /**
231 * Constructs a new HashMap with the same mappings as the
232 * specified Map. The HashMap is created with
233 * default load factor (0.75) and an initial capacity sufficient to
234 * hold the mappings in the specified Map.
235 *
236 * @param m the map whose mappings are to be placed in this map
237 * @throws NullPointerException if the specified map is null
238 */
239 public HashMap(Map extends K, ? extends V> m) {
240 this(Math.max((int) (m.size() / DEFAULT_LOAD_FACTOR) + 1,
241 DEFAULT_INITIAL_CAPACITY), DEFAULT_LOAD_FACTOR);
242 putAllForCreate(m);
243 }
244
245 // internal utilities
246
247 /**
248 * Initialization hook for subclasses. This method is called
249 * in all constructors and pseudo-constructors (clone, readObject)
250 * after HashMap has been initialized but before any entries have
251 * been inserted. (In the absence of this method, readObject would
252 * require explicit knowledge of subclasses.)
253 */
254 void init() {
255 }
256
257 /**
258 * Applies a supplemental hash function to a given hashCode, which
259 * defends against poor quality hash functions. This is critical
260 * because HashMap uses power-of-two length hash tables, that
261 * otherwise encounter collisions for hashCodes that do not differ
262 * in lower bits. Note: Null keys always map to hash 0, thus index 0.
263 */
264 static int hash(int h) {
265 // This function ensures that hashCodes that differ only by
266 // constant multiples at each bit position have a bounded
267 // number of collisions (approximately 8 at default load factor).
268 h ^= (h >>> 20) ^ (h >>> 12);
269 return h ^ (h >>> 7) ^ (h >>> 4);
270 }
271
272 /**
273 * Returns index for hash code h.
274 */
275 static int indexFor(int h, int length) {
276 return h & (length-1);
277 }
278
279 /**
280 * Returns the number of key-value mappings in this map.
281 *
282 * @return the number of key-value mappings in this map
283 */
284 public int size() {
285 return size;
286 }
287
288 /**
289 * Returns true if this map contains no key-value mappings.
290 *
291 * @return true if this map contains no key-value mappings
292 */
293 public boolean isEmpty() {
294 return size == 0;
295 }
296
297 /**
298 * Returns the value to which the specified key is mapped,
299 * or {@code null} if this map contains no mapping for the key.
300 *
301 *
302 * {@code k} to a value {@code v} such that {@code (key==null ? k==null :
303 * key.equals(k))}, then this method returns {@code v}; otherwise
304 * it returns {@code null}. (There can be at most one such mapping.)
305 *
306 *
307 * indicate that the map contains no mapping for the key; it's also
308 * possible that the map explicitly maps the key to {@code null}.
309 * The {@link #containsKey containsKey} operation may be used to
310 * distinguish these two cases.
311 *
312 * @see #put(Object, Object)
313 */
314 public V get(Object key) {
315 if (key == null)
316 return getForNullKey();
317 int hash = hash(key.hashCode());
318 for (Entry
319 e != null;
320 e = e.next) {
321 Object k;
322 if (e.hash == hash && ((k = e.key) == key || key.equals(k)))
323 return e.value;
324 }
325 return null;
326 }
327
328 /**
329 * Offloaded version of get() to look up null keys. Null keys map
330 * to index 0. This null case is split out into separate methods
331 * for the sake of performance in the two most commonly used
332 * operations (get and put), but incorporated with conditionals in
333 * others.
334 */
335 private V getForNullKey() {
336 for (Entry
337 if (e.key == null)
338 return e.value;
339 }
340 return null;
341 }
342
343 /**
344 * Returns true if this map contains a mapping for the
345 * specified key.
346 *
347 * @param key The key whose presence in this map is to be tested
348 * @return true if this map contains a mapping for the specified
349 * key.
350 */
351 public boolean containsKey(Object key) {
352 return getEntry(key) != null;
353 }
354
355 /**
356 * Returns the entry associated with the specified key in the
357 * HashMap. Returns null if the HashMap contains no mapping
358 * for the key.
359 */
360 final Entry
361 int hash = (key == null) ? 0 : hash(key.hashCode());
362 for (Entry
363 e != null;
364 e = e.next) {
365 Object k;
366 if (e.hash == hash &&
367 ((k = e.key) == key || (key != null && key.equals(k))))
368 return e;
369 }
370 return null;
371 }
372
373
374 /**
375 * Associates the specified value with the specified key in this map.
376 * If the map previously contained a mapping for the key, the old
377 * value is replaced.
378 *
379 * @param key key with which the specified value is to be associated
380 * @param value value to be associated with the specified key
381 * @return the previous value associated with key, or
382 * null if there was no mapping for key.
383 * (A null return can also indicate that the map
384 * previously associated null with key.)
385 */
386 public V put(K key, V value) {
387 if (key == null)
388 return putForNullKey(value);
389 int hash = hash(key.hashCode());
390 int i = indexFor(hash, table.length);
391 for (Entry
392 Object k;
393 if (e.hash == hash && ((k = e.key) == key || key.equals(k))) {
394 V oldValue = e.value;
395 e.value = value;
396 e.recordAccess(this);
397 return oldValue;
398 }
399 }
400
401 modCount++;
402 addEntry(hash, key, value, i);
403 return null;
404 }
405
406 /**
407 * Offloaded version of put for null keys
408 */
409 private V putForNullKey(V value) {
410 for (Entry
411 if (e.key == null) {
412 V oldValue = e.value;
413 e.value = value;
414 e.recordAccess(this);
415 return oldValue;
416 }
417 }
418 modCount++;
419 addEntry(0, null, value, 0);
420 return null;
421 }
422
423 /**
424 * This method is used instead of put by constructors and
425 * pseudoconstructors (clone, readObject). It does not resize the table,
426 * check for comodification, etc. It calls createEntry rather than
427 * addEntry.
428 */
429 private void putForCreate(K key, V value) {
430 int hash = (key == null) ? 0 : hash(key.hashCode());
431 int i = indexFor(hash, table.length);
432
433 /**
434 * Look for preexisting entry for key. This will never happen for
435 * clone or deserialize. It will only happen for construction if the
436 * input Map is a sorted map whose ordering is inconsistent w/ equals.
437 */
438 for (Entry
439 Object k;
440 if (e.hash == hash &&
441 ((k = e.key) == key || (key != null && key.equals(k)))) {
442 e.value = value;
443 return;
444 }
445 }
446
447 createEntry(hash, key, value, i);
448 }
449
450 private void putAllForCreate(Map extends K, ? extends V> m) {
451 for (Map.Entry extends K, ? extends V> e : m.entrySet())
452 putForCreate(e.getKey(), e.getValue());
453 }
454
455 /**
456 * Rehashes the contents of this map into a new array with a
457 * larger capacity. This method is called automatically when the
458 * number of keys in this map reaches its threshold.
459 *
460 * If current capacity is MAXIMUM_CAPACITY, this method does not
461 * resize the map, but sets threshold to Integer.MAX_VALUE.
462 * This has the effect of preventing future calls.
463 *
464 * @param newCapacity the new capacity, MUST be a power of two;
465 * must be greater than current capacity unless current
466 * capacity is MAXIMUM_CAPACITY (in which case value
467 * is irrelevant).
468 */
469 void resize(int newCapacity) {
470 Entry[] oldTable = table;
471 int oldCapacity = oldTable.length;
472 if (oldCapacity == MAXIMUM_CAPACITY) {
473 threshold = Integer.MAX_VALUE;
474 return;
475 }
476
477 Entry[] newTable = new Entry[newCapacity];
478 transfer(newTable);
479 table = newTable;
480 threshold = (int)(newCapacity * loadFactor);
481 }
482
483 /**
484 * Transfers all entries from current table to newTable.
485 */
486 void transfer(Entry[] newTable) {
487 Entry[] src = table;
488 int newCapacity = newTable.length;
489 for (int j = 0; j < src.length; j++) {
490 Entry
491 if (e != null) {
492 src[j] = null;
493 do {
494 Entry
495 int i = indexFor(e.hash, newCapacity);
496 e.next = newTable[i];
497 newTable[i] = e;
498 e = next;
499 } while (e != null);
500 }
501 }
502 }
503
504 /**
505 * Copies all of the mappings from the specified map to this map.
506 * These mappings will replace any mappings that this map had for
507 * any of the keys currently in the specified map.
508 *
509 * @param m mappings to be stored in this map
510 * @throws NullPointerException if the specified map is null
511 */
512 public void putAll(Map extends K, ? extends V> m) {
513 int numKeysToBeAdded = m.size();
514 if (numKeysToBeAdded == 0)
515 return;
516
517 /*
518 * Expand the map if the map if the number of mappings to be added
519 * is greater than or equal to threshold. This is conservative; the
520 * obvious condition is (m.size() + size) >= threshold, but this
521 * condition could result in a map with twice the appropriate capacity,
522 * if the keys to be added overlap with the keys already in this map.
523 * By using the conservative calculation, we subject ourself
524 * to at most one extra resize.
525 */
526 if (numKeysToBeAdded > threshold) {
527 int targetCapacity = (int)(numKeysToBeAdded / loadFactor + 1);
528 if (targetCapacity > MAXIMUM_CAPACITY)
529 targetCapacity = MAXIMUM_CAPACITY;
530 int newCapacity = table.length;
531 while (newCapacity < targetCapacity)
532 newCapacity <<= 1;
533 if (newCapacity > table.length)
534 resize(newCapacity);
535 }
536
537 for (Map.Entry extends K, ? extends V> e : m.entrySet())
538 put(e.getKey(), e.getValue());
539 }
540
541 /**
542 * Removes the mapping for the specified key from this map if present.
543 *
544 * @param key key whose mapping is to be removed from the map
545 * @return the previous value associated with key, or
546 * null if there was no mapping for key.
547 * (A null return can also indicate that the map
548 * previously associated null with key.)
549 */
550 public V remove(Object key) {
551 Entry
552 return (e == null ? null : e.value);
553 }
554
555 /**
556 * Removes and returns the entry associated with the specified key
557 * in the HashMap. Returns null if the HashMap contains no mapping
558 * for this key.
559 */
560 final Entry
561 int hash = (key == null) ? 0 : hash(key.hashCode());
562 int i = indexFor(hash, table.length);
563 Entry
564 Entry
565
566 while (e != null) {
567 Entry
568 Object k;
569 if (e.hash == hash &&
570 ((k = e.key) == key || (key != null && key.equals(k)))) {
571 modCount++;
572 size--;
573 if (prev == e)
574 table[i] = next;
575 else
576 prev.next = next;
577 e.recordRemoval(this);
578 return e;
579 }
580 prev = e;
581 e = next;
582 }
583
584 return e;
585 }
586
587 /**
588 * Special version of remove for EntrySet.
589 */
590 final Entry
591 if (!(o instanceof Map.Entry))
592 return null;
593
594 Map.Entry
595 Object key = entry.getKey();
596 int hash = (key == null) ? 0 : hash(key.hashCode());
597 int i = indexFor(hash, table.length);
598 Entry
599 Entry
600
601 while (e != null) {
602 Entry
603 if (e.hash == hash && e.equals(entry)) {
604 modCount++;
605 size--;
606 if (prev == e)
607 table[i] = next;
608 else
609 prev.next = next;
610 e.recordRemoval(this);
611 return e;
612 }
613 prev = e;
614 e = next;
615 }
616
617 return e;
618 }
619
620 /**
621 * Removes all of the mappings from this map.
622 * The map will be empty after this call returns.
623 */
624 public void clear() {
625 modCount++;
626 Entry[] tab = table;
627 for (int i = 0; i < tab.length; i++)
628 tab[i] = null;
629 size = 0;
630 }
631
632 /**
633 * Returns true if this map maps one or more keys to the
634 * specified value.
635 *
636 * @param value value whose presence in this map is to be tested
637 * @return true if this map maps one or more keys to the
638 * specified value
639 */
640 public boolean containsValue(Object value) {
641 if (value == null)
642 return containsNullValue();
643
644 Entry[] tab = table;
645 for (int i = 0; i < tab.length ; i++)
646 for (Entry e = tab[i] ; e != null ; e = e.next)
647 if (value.equals(e.value))
648 return true;
649 return false;
650 }
651
652 /**
653 * Special-case code for containsValue with null argument
654 */
655 private boolean containsNullValue() {
656 Entry[] tab = table;
657 for (int i = 0; i < tab.length ; i++)
658 for (Entry e = tab[i] ; e != null ; e = e.next)
659 if (e.value == null)
660 return true;
661 return false;
662 }
663
664 /**
665 * Returns a shallow copy of this HashMap instance: the keys and
666 * values themselves are not cloned.
667 *
668 * @return a shallow copy of this map
669 */
670 public Object clone() {
671 HashMap
672 try {
673 result = (HashMap
674 } catch (CloneNotSupportedException e) {
675 // assert false;
676 }
677 result.table = new Entry[table.length];
678 result.entrySet = null;
679 result.modCount = 0;
680 result.size = 0;
681 result.init();
682 result.putAllForCreate(this);
683
684 return result;
685 }
686
687 static class Entry
688 final K key;
689 V value;
690 Entry
691 final int hash;
692
693 /**
694 * Creates new entry.
695 */
696 Entry(int h, K k, V v, Entry
697 value = v;
698 next = n;
699 key = k;
700 hash = h;
701 }
702
703 public final K getKey() {
704 return key;
705 }
706
707 public final V getValue() {
708 return value;
709 }
710
711 public final V setValue(V newValue) {
712 V oldValue = value;
713 value = newValue;
714 return oldValue;
715 }
716
717 public final boolean equals(Object o) {
718 if (!(o instanceof Map.Entry))
719 return false;
720 Map.Entry e = (Map.Entry)o;
721 Object k1 = getKey();
722 Object k2 = e.getKey();
723 if (k1 == k2 || (k1 != null && k1.equals(k2))) {
724 Object v1 = getValue();
725 Object v2 = e.getValue();
726 if (v1 == v2 || (v1 != null && v1.equals(v2)))
727 return true;
728 }
729 return false;
730 }
731
732 public final int hashCode() {
733 return (key==null ? 0 : key.hashCode()) ^
734 (value==null ? 0 : value.hashCode());
735 }
736
737 public final String toString() {
738 return getKey() + "=" + getValue();
739 }
740
741 /**
742 * This method is invoked whenever the value in an entry is
743 * overwritten by an invocation of put(k,v) for a key k that's already
744 * in the HashMap.
745 */
746 void recordAccess(HashMap
747 }
748
749 /**
750 * This method is invoked whenever the entry is
751 * removed from the table.
752 */
753 void recordRemoval(HashMap
754 }
755 }
756
757 /**
758 * Adds a new entry with the specified key, value and hash code to
759 * the specified bucket. It is the responsibility of this
760 * method to resize the table if appropriate.
761 *
762 * Subclass overrides this to alter the behavior of put method.
763 */
764 void addEntry(int hash, K key, V value, int bucketIndex) {
765 Entry
766 table[bucketIndex] = new Entry<>(hash, key, value, e);
767 if (size++ >= threshold)
768 resize(2 * table.length);
769 }
770
771 /**
772 * Like addEntry except that this version is used when creating entries
773 * as part of Map construction or "pseudo-construction" (cloning,
774 * deserialization). This version needn't worry about resizing the table.
775 *
776 * Subclass overrides this to alter the behavior of HashMap(Map),
777 * clone, and readObject.
778 */
779 void createEntry(int hash, K key, V value, int bucketIndex) {
780 Entry
781 table[bucketIndex] = new Entry<>(hash, key, value, e);
782 size++;
783 }
784
785 private abstract class HashIterator
786 Entry
787 int expectedModCount; // For fast-fail
788 int index; // current slot
789 Entry
790
791 HashIterator() {
792 expectedModCount = modCount;
793 if (size > 0) { // advance to first entry
794 Entry[] t = table;
795 while (index < t.length && (next = t[index++]) == null)
796 ;
797 }
798 }
799
800 public final boolean hasNext() {
801 return next != null;
802 }
803
804 final Entry
805 if (modCount != expectedModCount)
806 throw new ConcurrentModificationException();
807 Entry
808 if (e == null)
809 throw new NoSuchElementException();
810
811 if ((next = e.next) == null) {
812 Entry[] t = table;
813 while (index < t.length && (next = t[index++]) == null)
814 ;
815 }
816 current = e;
817 return e;
818 }
819
820 public void remove() {
821 if (current == null)
822 throw new IllegalStateException();
823 if (modCount != expectedModCount)
824 throw new ConcurrentModificationException();
825 Object k = current.key;
826 current = null;
827 HashMap.this.removeEntryForKey(k);
828 expectedModCount = modCount;
829 }
830
831 }
832
833 private final class ValueIterator extends HashIterator
834 public V next() {
835 return nextEntry().value;
836 }
837 }
838
839 private final class KeyIterator extends HashIterator
840 public K next() {
841 return nextEntry().getKey();
842 }
843 }
844
845 private final class EntryIterator extends HashIterator
846 public Map.Entry
847 return nextEntry();
848 }
849 }
850
851 // Subclass overrides these to alter behavior of views' iterator() method
852 Iterator
853 return new KeyIterator();
854 }
855 Iterator
856 return new ValueIterator();
857 }
858 Iterator
859 return new EntryIterator();
860 }
861
862
863 // Views
864
865 private transient Set
866
867 /**
868 * Returns a {@link Set} view of the keys contained in this map.
869 * The set is backed by the map, so changes to the map are
870 * reflected in the set, and vice-versa. If the map is modified
871 * while an iteration over the set is in progress (except through
872 * the iterator's own remove operation), the results of
873 * the iteration are undefined. The set supports element removal,
874 * which removes the corresponding mapping from the map, via the
875 * Iterator.remove, Set.remove,
876 * removeAll, retainAll, and clear
877 * operations. It does not support the add or addAll
878 * operations.
879 */
880 public Set
881 Set
882 return (ks != null ? ks : (keySet = new KeySet()));
883 }
884
885 private final class KeySet extends AbstractSet
886 public Iterator
887 return newKeyIterator();
888 }
889 public int size() {
890 return size;
891 }
892 public boolean contains(Object o) {
893 return containsKey(o);
894 }
895 public boolean remove(Object o) {
896 return HashMap.this.removeEntryForKey(o) != null;
897 }
898 public void clear() {
899 HashMap.this.clear();
900 }
901 }
902
903 /**
904 * Returns a {@link Collection} view of the values contained in this map.
905 * The collection is backed by the map, so changes to the map are
906 * reflected in the collection, and vice-versa. If the map is
907 * modified while an iteration over the collection is in progress
908 * (except through the iterator's own remove operation),
909 * the results of the iteration are undefined. The collection
910 * supports element removal, which removes the corresponding
911 * mapping from the map, via the Iterator.remove,
912 * Collection.remove, removeAll,
913 * retainAll and clear operations. It does not
914 * support the add or addAll operations.
915 */
916 public Collection
917 Collection
918 return (vs != null ? vs : (values = new Values()));
919 }
920
921 private final class Values extends AbstractCollection
922 public Iterator
923 return newValueIterator();
924 }
925 public int size() {
926 return size;
927 }
928 public boolean contains(Object o) {
929 return containsValue(o);
930 }
931 public void clear() {
932 HashMap.this.clear();
933 }
934 }
935
936 /**
937 * Returns a {@link Set} view of the mappings contained in this map.
938 * The set is backed by the map, so changes to the map are
939 * reflected in the set, and vice-versa. If the map is modified
940 * while an iteration over the set is in progress (except through
941 * the iterator's own remove operation, or through the
942 * setValue operation on a map entry returned by the
943 * iterator) the results of the iteration are undefined. The set
944 * supports element removal, which removes the corresponding
945 * mapping from the map, via the Iterator.remove,
946 * Set.remove, removeAll, retainAll and
947 * clear operations. It does not support the
948 * add or addAll operations.
949 *
950 * @return a set view of the mappings contained in this map
951 */
952 public Set
953 return entrySet0();
954 }
955
956 private Set
957 Set
958 return es != null ? es : (entrySet = new EntrySet());
959 }
960
961 private final class EntrySet extends AbstractSet
962 public Iterator
963 return newEntryIterator();
964 }
965 public boolean contains(Object o) {
966 if (!(o instanceof Map.Entry))
967 return false;
968 Map.Entry
969 Entry
970 return candidate != null && candidate.equals(e);
971 }
972 public boolean remove(Object o) {
973 return removeMapping(o) != null;
974 }
975 public int size() {
976 return size;
977 }
978 public void clear() {
979 HashMap.this.clear();
980 }
981 }
982
983 /**
984 * Save the state of the HashMap instance to a stream (i.e.,
985 * serialize it).
986 *
987 * @serialData The capacity of the HashMap (the length of the
988 * bucket array) is emitted (int), followed by the
989 * size (an int, the number of key-value
990 * mappings), followed by the key (Object) and value (Object)
991 * for each key-value mapping. The key-value mappings are
992 * emitted in no particular order.
993 */
994 private void writeObject(java.io.ObjectOutputStream s)
995 throws IOException
996 {
997 Iterator
998 (size > 0) ? entrySet0().iterator() : null;
999
1000 // Write out the threshold, loadfactor, and any hidden stuff
1001 s.defaultWriteObject();
1002
1003 // Write out number of buckets
1004 s.writeInt(table.length);
1005
1006 // Write out size (number of Mappings)
1007 s.writeInt(size);
1008
1009 // Write out keys and values (alternating)
1010 if (i != null) {
1011 while (i.hasNext()) {
1012 Map.Entry
1013 s.writeObject(e.getKey());
1014 s.writeObject(e.getValue());
1015 }
1016 }
1017 }
1018
1019 private static final long serialVersionUID = 362498820763181265L;
1020
1021 /**
1022 * Reconstitute the HashMap instance from a stream (i.e.,
1023 * deserialize it).
1024 */
1025 private void readObject(java.io.ObjectInputStream s)
1026 throws IOException, ClassNotFoundException
1027 {
1028 // Read in the threshold, loadfactor, and any hidden stuff
1029 s.defaultReadObject();
1030
1031 // Read in number of buckets and allocate the bucket array;
1032 int numBuckets = s.readInt();
1033 table = new Entry[numBuckets];
1034
1035 init(); // Give subclass a chance to do its thing.
1036
1037 // Read in size (number of Mappings)
1038 int size = s.readInt();
1039
1040 // Read the keys and values, and put the mappings in the HashMap
1041 for (int i=0; i
1043 V value = (V) s.readObject();
1044 putForCreate(key, value);
1045 }
1046 }
1047
1048 // These methods are used when serializing HashSets
1049 int capacity() { return table.length; }
1050 float loadFactor() { return loadFactor; }
1051 }
Simple solution to get around this error is to make sure that you have following entry in the web.xml
org.springframework.orm.hibernate3.support.OpenSessionInViewFilter
import java.util.ArrayList;
import java.util.HashSet;
import java.util.LinkedHashSet;
import java.util.Set;
public class RemoveDuplicatesFromArrayList {
public static void main(String[] args) {
ArrayList i = new ArrayList();
i.add(1);
i.add(3);
i.add(1);
i.add(3);
i.add(2);
Set s = removeDups(i);
for (Object object : s) {
System.out.println(object.toString()
);
}
System.out.println("end");
System.out.println();
}
public static Set removeDups(ArrayList al)
{
Set hs = new LinkedHashSet();
hs.addAll(al);
al.clear();
al.addAll(hs);
return hs;
}
}
Output:
1
3
2
end
ArrayList al = new ArrayList();
// add elements to al, including duplicates
HashSet hs = new HashSet();
hs.addAll(al);
al.clear();
al.addAll(hs);
We can use LinkedHashSet to retain the order.
First, you have to understand a little something about the Java memory model. I’ve struggled a bit over the years to explain it briefly and well. As of today, the best way I can think of to describe it is if you imagine it this way:
Each thread in Java takes place in a separate memory space (this is clearly untrue, so bear with me on this one).
You need to use special mechanisms to guarantee that communication happens between these threads, as you would on a message passing system.
Memory writes that happen in one thread can “leak through” and be seen by another thread, but this is by no means guaranteed. Without explicit communication, you can’t guarantee which writes get seen by other threads, or even the order in which they get seen.
The Java volatile modifier is an example of a special mechanism to guarantee that communication happens between threads. When one thread writes to a volatile variable, and another thread sees that write, the first thread is telling the second about all of the contents of memory up until it performed the write to that volatile variable.
Reference: http://jeremymanson.blogspot.com/2008/11/what-volatile-means-in-java.html
At this point, I usually rely on a visual aid, which we call the “two cones” diagram, but which my officemate insists on calling the “two trapezoids” diagram, because he is picky. ready is a volatile boolean variable initialized to false, and answer is a non-volatile int variable initialized to 0.
The first thread writes to ready, which is going to be the sender side of the communications. The second thread reads from ready and sees the value the first thread wrote to it. It therefore becomes a receiver. Because this communication occurs, all of the memory contents seen by Thread 1, before it wrote to ready, must be visible to Thread 2, after it reads the value true for ready.
This guarantees that Thread 2 will print “42″, if it prints anything at all.
If ready were not volatile, what would happen? Well, there wouldn’t be anything explicitly communicating the values known by Thread 1 to Thread 2. As I pointed out before, the value written to the (now non-volatile) ready could “leak through” to Thread 2, so Thread 2 might see ready as true. However, the value for answer might not leak through. If the value for ready does leak through, and the value for answer doesn’t leak through, then this execution will print out 0.
We call the communications points “happens-before” relationships, in the language of the Java memory model.
(Minor niggle: The read of ready doesn’t just ensure that Thread 2 sees the contents of memory of Thread 1 up until it wrote to ready, it also ensures that Thread 2 sees the contents of memory of any other thread that wrote to ready up until that point.)
With this in mind, let’s look at the Double-Checked Locking example again. To refresh your memory, it goes like this:
class Foo {
private volatile Helper helper = null;
public Helper getHelper() {
if (helper == null) {
synchronized(this) {
if (helper == null) {
helper = new Helper();
}
}
}
return helper;
}
The object of the double-checked locking pattern is to avoid synchronization when reading a lazily constructed singleton that is shared between threads. If you have already constructed the object, the helper field will not be null, so you won’t have to perform the synchronization.
However, this is only part of the solution. If one thread creates the object, it has to communicate the contents of its memory to another thread. Otherwise, the object will just sit in the first thread’s memory. How do we communicate the contents of memory to another thread? Well, we can use volatile variables. That’s why helper has to be volatile — so that other threads see the fully constructed object.
Locking in Java also forms these “happens-before” communication points. An unlock is the sender side, and a lock on the same variable is the receiver side. The reason that doesn’t work for (non-volatile) double-checked locking is that only the writing thread ever performs the locking. The whole point of the idiom is that the reader side doesn’t do the locking. Without the explicit communication in the form of the volatile variable, the reading thread will never see the update performed by the writer thread.
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