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int capacity = 101; int size = 0; float load = 0.75F; LinkedList[] buckets;
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HashTable() { buckets = new LinkedList[capacity]; for (int i = 0; i < capacity; i++) { buckets[i] = new LinkedList(); } } HashTable(int capacity, float load) { this(); this.capacity = capacity; this.load = load; } Object put(Object key, Object value) { int h = hash(key); LinkedList bucket=buckets[h]; Object oldValue = null; for (ListIterator it = bucket.iterator(); it.hasNext(); ) { Map.Entry entry = it.next(); if (entry.getKey().equals(key)) { break; } } if (entry.getKey().equals(key)) { oldValue = entry.setValue(value); } else { bucket.add(new Entry(key,value)); } return oldValue; } // more methods... }
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Note that put() serves two different purposes. If the table already has an entry with the given key, it only changes the value of that entry. Otherwise, it adds a new entry with that key/value pair.
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The java.util.HashMap class uses separate chaining in a way that is similar to that shown in Example 8.8. APPLICATIONS Tables are widely used in systems programming. Moreover, they are the primary building blocks of relational databases. Here is an example in applications programming. EXAMPLE 8.9 A Concordance
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A concordance is a list of words that appear in a text document along with the numbers of the lines on which the words appear. It is just like an index of a book except that it lists line numbers instead of page
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numbers. Concordances are useful for analyzing documents to find word frequencies and associations that are not evident from reading the document directly. This program builds a concordance for a text file. The run here uses this particular text taken from Shakespeare s play Julius Caesar. The first part of the resulting concordance is shown on the right. This output results from obtaining a Set view of the concordance and then iterating through the set, printing one element per line. Each element is a Map.Entry object whose Key is the word from the text (in all uppercase letters) and whose Value is the listing of line numbers where the word was found. For example, the word man was found on lines 10, 15, 22, and 27. Line 10 is
For Brutus is an honourable man;
Here is the Concordance class:
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public class Concordance { private Map<String,String> map = new HashMap<String,String>(); public Concordance(String file) { int lineNumber = 0; try { Scanner input = new Scanner(new File(file)); while (input.hasNextLine()) { String line = input.nextLine(); ++lineNumber; StringTokenizer parser = new StringTokenizer(line, ",.;:()-! ' "); while (parser.hasMoreTokens()) { String word = parser.nextToken().toUpperCase(); String listing = map.get(word); if (listing == null) { listing = "" + lineNumber; } else { listing += ", " + lineNumber; } map.put(word,listing); } } input.close(); } catch(IOException e) { System.out.println(e); } } public void write(String file) { try { PrintWriter output = new PrintWriter(file); for (Map.Entry<String,String> entry : map.entrySet()) { output.println(entry); } output.close(); } catch(IOException e) { System.out.println(e); } } }
The hash table is defined at line 2. It has type java.util.HashMap<String,String>, which means that both its key and value fields have type String. Its constructor at line 4 takes the name of the input file as its argument. It uses a java.util.Scanner object to read the file line by line. Each line is parsed by a java.util.StringTokenizer object named parser, defined at line 11. Note that the parser uses as
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