哈希游戏系统开发源码哈希游戏系统开发源码
哈希游戏系统开发源码哈希游戏系统开发源码,
本文目录导读:
哈希表(Hash Table)是一种高效的非线性数据结构,广泛应用于游戏开发中,本文将介绍如何基于哈希表开发一个游戏系统,并提供详细的源码实现。
系统设计
哈希表实现
哈希表的核心是哈希函数,用于将键映射到数组索引,以下是常用的哈希函数:
public class HashTable { private static final int PRIME = 7; private static final int DEFAULT_LOAD_FACTOR = 0.5; private final Map<Integer, Object> table; private int size; private int capacity; public HashTable() { this.table = new HashMap<>(); this.capacity = DEFAULT_LOAD_FACTOR * 32; } public int size() { return size; } public int capacity() { return capacity; } public boolean isEmpty() { return table.isEmpty(); } public Object get(int key) { int index = hash(key); if (index < 0) index += table.size(); return table.get(index); } public void put(int key, Object value) { int index = hash(key); if (index < 0) index += table.size(); table.put(index, value); size++; } private int hash(int key) { return Integer.hashCode(key) % capacity; } }
缓存设计
游戏缓存通常使用哈希表实现,以提高数据访问速度,以下是缓存接口:
public interface Cache { void clear(); Object get(String key); void put(String key, Object value); void remove(String key); void flush(); }
数据库接口
游戏数据库通常使用关系型数据库,以下是简单的数据库接口:
public interface Database { void createTable(); void dropTable(); void select(String query); void insert(String query); void update(String query); void delete(String query); }
通信协议
游戏通信使用简单的HTTP协议,以下是客户端和服务器端代码:
public class Client { public static void send(String message) throws IOException { try (OutputStream out = new OutputStream() { @Override public void write(String str) throws IOException { out.write(str.getBytes()); } }); } }
public class Server { public static void receive() throws IOException { try (InputStream in = new InputStreamReader(System.in)) { @Override public int read() throws IOException { return in.read(); } }); } }
配置管理
游戏配置使用XML格式存储,以下是配置类:
public class Config { private static final String CONFIG_FILE = "config.xml"; private final String[][] config; public Config(String[][] config) { this.config = config; } public String getConfig(String key, String defaultVal) { for (String[] row : config) { if (row[0].equals(key)) { return row[1] != null ? row[1] : defaultVal; } } return defaultVal; } }
实现细节
哈希表优化
哈希表的负载因子控制在50%以下,以避免性能下降,以下是优化方法:
- 使用拉链法处理冲突
- 定期检查负载因子,重新扩展哈希表
缓存管理
缓存使用LRU策略,以下是实现:
public class LRU { private final Map<String, Integer> cache = new HashMap<>(); private final int MAX_CACHE_SIZE; public LRU(int maxCacheSize) { this.MAX_CACHE_SIZE = maxCacheSize; } public void put(String key, Object value) { if (cache.containsKey(key)) { cache.put(key, cache.get(key) + 1); } else { if (cache.size() >= MAX_CACHE_SIZE) { String worstKey = cache.keySet().iterator().next(); cache.remove(worstKey); } cache.put(key, 1); } } public Object get(String key) { if (cache.containsKey(key)) { int count = cache.get(key); cache.put(key, count + 1); return Object.get(key); } return null; } public void clear() { cache.clear(); } }
数据库操作
以下是简单的数据库操作:
public class DatabaseOperations { public static void createTable() { String SQL = "CREATE TABLE IF NOT EXISTS users (" + "id INT PRIMARY KEY AUTO_INCREMENT, " + "username VARCHAR(255) UNIQUE NOT NULL, " + "password VARCHAR(255) NOT NULL)!"; execute(SQL); } public static void dropTable() { String SQL = "DROP TABLE IF EXISTS users!"; execute(SQL); } public static void insert() { String SQL = "INSERT INTO users (username, password) VALUES (?, ?)!"; Statement stmt = getStatement(); try { Integer username = Integer.parseInt(input()); String password = input(); int rowsInserted = execute(sql, username, password); if (rowsInserted > 0) { System.out.println("User " + username + " created successfully!"); } else { System.out.println("Error: " + getError()); } } catch (SQLException e) { System.out.println("Error: " + e.getMessage()); } } public static void update() { String SQL = "UPDATE users SET username = ? WHERE id = ?!"; Statement stmt = getStatement(); try { Integer id = Integer.parseInt(input()); String newUsername = input(); int rowsUpdated = execute(sql, newUsername, id); if (rowsUpdated > 0) { System.out.println("User updated successfully!"); } else { System.out.println("Error: " + getError()); } } catch (SQLException e) { System.out.println("Error: " + e.getMessage()); } } public static void delete() { String SQL = "DELETE FROM users WHERE username = ?!"; Statement stmt = getStatement(); try { String username = input(); int rowsDeleted = execute(sql, username); if (rowsDeleted > 0) { System.out.println("User deleted successfully!"); } else { System.out.println("Error: " + getError()); } } catch (SQLException e) { System.out.println("Error: " + e.getMessage()); } } private static Statement getStatement() throws SQLException { return connection.createStatement(); } private static void close() throws SQLException { if (connection != null) { try { connection.close(); } catch (SQLException e) { System.out.println("Error closing connection: " + e.getMessage()); } } } }
性能优化
内存管理
使用弱引用和标记-清除算法,防止内存泄漏,以下是实现:
public class WeakHashMap { private final Map<String, WeakReference<String>> map; private final Set<String> roots = new HashSet<>(); public WeakHashMap() { this.map = new HashMap<>(); } public void put(String key, String value) { map.put(key, new WeakReference<>(value)); roots.add(key); } public String get(String key) { return map.get(key) != null ? map.get(key).get() : null; } public void remove(String key) { map.put(key, null); roots.remove(key); if (roots.isEmpty()) { roots.clear(); map.clear(); } } public boolean containsKey(String key) { return map.containsKey(key); } public boolean containsValue(String value) { return map.values().contains(value); } }
并发安全
使用ConcurrentHashMap实现高并发安全,以下是使用示例:
public class Game { private final ConcurrentHashMap<String, Object> cache = new ConcurrentHashMap<>(); public void setConfig(String key, String value) { cache.put(key, value); } public Object getConfig(String key) { return cache.get(key); } public void clear() { cache.clear(); } }
测试
单元测试
使用JUnit框架进行单元测试,以下是示例:
import org.junit.jupiter.api.Test; import static org.junit.jupiter.api.Assertions.*; public class HashTableTest { @Test void testGet() { HashTable table = new HashTable(); table.put(1, "one"); assertEquals("one", table.get(1)); } @Test void testSize() { HashTable table = new HashTable(); assertEquals(0, table.size()); table.put(1, "one"); assertEquals(1, table.size()); } @Test void testLoadFactor() { HashTable table = new HashTable(); assertEquals(0.5, table.DEFAULT_LOAD_FACTOR); } }
集成测试
使用JMeter进行集成测试,配置请求模式,模拟多线程访问。
哈希表是游戏系统开发的核心数据结构,提供了高效的键-值映射,通过合理设计,可以实现高并发、低延迟的游戏系统,以下是源码的完整实现:
// 哈希表实现 public class HashTable { private static final int PRIME = 7; private static final int DEFAULT_LOAD_FACTOR = 0.5; private final Map<Integer, Object> table; private int size; private int capacity; public HashTable() { this.table = new HashMap<>(); this.capacity = DEFAULT_LOAD_FACTOR * 32; } public int size() { return size; } public int capacity() { return capacity; } public boolean isEmpty() { return table.isEmpty(); } public Object get(int key) { int index = hash(key); if (index < 0) index += table.size(); return table.get(index); } public void put(int key, Object value) { int index = hash(key); if (index < 0) index += table.size(); table.put(index, value); size++; } private int hash(int key) { return Integer.hashCode(key) % capacity; } } // 缓存接口 public interface Cache { void clear(); Object get(String key); void put(String key, Object value); void remove(String key); void flush(); } // LRU 缓存实现 public class LRU { private final Map<String, Integer> cache = new HashMap<>(); private final int MAX_CACHE_SIZE; public LRU(int maxCacheSize) { this.MAX_CACHE_SIZE = maxCacheSize; } public void put(String key, Object value) { if (cache.containsKey(key)) { cache.put(key, cache.get(key) + 1); } else { if (cache.size() >= MAX_CACHE_SIZE) { String worstKey = cache.keySet().iterator().next(); cache.remove(worstKey); } cache.put(key, 1); } } public Object get(String key) { if (cache.containsKey(key)) { int count = cache.get(key); cache.put(key, count + 1); return Object.get(key); } return null; } public void clear() { cache.clear(); } } // 数据库接口 public interface Database { void createTable(); void dropTable(); void select(String query); void insert(String query); void update(String query); void delete(String query); } // 数据库操作 public class DatabaseOperations { public static void createTable() { String SQL = "CREATE TABLE IF NOT EXISTS users (" + "id INT PRIMARY KEY AUTO_INCREMENT, " + "username VARCHAR(255) UNIQUE NOT NULL, " + "password VARCHAR(255) NOT NULL)!"; execute(SQL); } public static void dropTable() { String SQL = "DROP TABLE IF EXISTS users!"; execute(SQL); } public static void insert() { String SQL = "INSERT INTO users (username, password) VALUES (?, ?)!"; Statement stmt = getStatement(); try { Integer username = Integer.parseInt(input()); String password = input(); int rowsInserted = execute(sql, username, password); if (rowsInserted > 0) { System.out.println("User " + username + " created successfully!"); } else { System.out.println("Error: " + getError()); } } catch (SQLException e) { System.out.println("Error: " + e.getMessage()); } } public static void update() { String SQL = "UPDATE users SET username = ? WHERE id = ?!"; Statement stmt = getStatement(); try { Integer id = Integer.parseInt(input()); String newUsername = input(); int rowsUpdated = execute(sql, newUsername, id); if (rowsUpdated > 0) { System.out.println("User updated successfully!"); } else { System.out.println("Error: " + getError()); } } catch (SQLException e) { System.out.println("Error: " + e.getMessage()); } } public static void delete() { String SQL = "DELETE FROM users WHERE username = ?!"; Statement stmt = getStatement(); try { String username = input(); int rowsDeleted = execute(sql, username); if (rowsDeleted > 0) { System.out.println("User deleted successfully!"); } else { System.out.println("Error: " + getError()); } } catch (SQLException e) { System.out.println("Error: " + e.getMessage()); } } private static Statement getStatement() throws SQLException { return connection.createStatement(); } private static void close() throws SQLException { if (connection != null) { try { connection.close(); } catch (SQLException e) { System.out.println("Error closing connection: " + e.getMessage()); } } } } // 弱哈希表实现 public class WeakHashMap { private final Map<String, WeakReference<String>> map; private final Set<String> roots = new HashSet<>(); public WeakHashMap() { this.map = new HashMap<>(); } public void put(String key, String value) { map.put(key, new WeakReference<>(value)); roots.add(key); } public String get(String key) { return map.get(key) != null ? map.get(key).get() : null; } public void remove(String key) { map.put(key, null); roots.remove(key); if (roots.isEmpty()) { roots.clear(); map.clear(); } } public boolean containsKey(String key) { return map.containsKey(key); } public boolean containsValue(String value) { return map.values().contains(value); } } // 游戏配置类 public class Config { private static final String CONFIG_FILE = "config.xml"; private final String[][] config; public Config(String[][] config) { this.config = config; } public String getConfig(String key, String defaultVal) { for (String[] row : config) { if (row[0].equals(key)) { return row[1] != null ? row[1] : defaultVal; } } return defaultVal; } }
代码实现了哈希表、缓存、数据库操作、弱哈希表和配置管理,可以作为游戏系统开发的基础。
哈希游戏系统开发源码哈希游戏系统开发源码,
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