MyBatis源码解析--基础支持层(5)

本文深入解析MyBatis的事务管理和缓存机制,包括事务接口、实现类及工厂,缓存容器接口与多种缓存实现,如永久缓存、日志缓存、阻塞缓存等,以及CacheKey的使用。

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5.事务模块

对应的是transaction包 对数据库中的事务进行了抽象,其自身提供了相应的事务接口和简单实现。很多时候是由spring框架管理事务。
Transaction事务接口

public interface Transaction {
//获得连接
  Connection getConnection() throws SQLException;
  //事务提交
  void commit() throws SQLException;
  //事务回滚
  void rollback() throws SQLException;
  //关闭连接
  void close() throws SQLException;
  //获得事务超时时间
  Integer getTimeout() throws SQLException;
  
}

JdbcTransaction

public class JdbcTransaction implements Transaction {

  private static final Log log = LogFactory.getLog(JdbcTransaction.class);
//connection对象
  protected Connection connection;
  //dataSource对象
  protected DataSource dataSource;
  //事务隔离级别
  protected TransactionIsolationLevel level;
  //是否自动提交
  protected boolean autoCommit;

  public JdbcTransaction(DataSource ds, TransactionIsolationLevel desiredLevel, boolean desiredAutoCommit) {
    dataSource = ds;
    level = desiredLevel;
    autoCommit = desiredAutoCommit;
  }

  public JdbcTransaction(Connection connection) {
    this.connection = connection;
  }

  @Override
  public Connection getConnection() throws SQLException {
    if (connection == null) {
      openConnection();
    }
    return connection;
  }

  @Override
  public void commit() throws SQLException {
    if (connection != null && !connection.getAutoCommit()) {
      if (log.isDebugEnabled()) {
        log.debug("Committing JDBC Connection [" + connection + "]");
      }
      connection.commit();
    }
  }

  @Override
  public void rollback() throws SQLException {
    if (connection != null && !connection.getAutoCommit()) {
      if (log.isDebugEnabled()) {
        log.debug("Rolling back JDBC Connection [" + connection + "]");
      }
      connection.rollback();
    }
  }

  @Override
  public void close() throws SQLException {
    if (connection != null) {
      resetAutoCommit();
      if (log.isDebugEnabled()) {
        log.debug("Closing JDBC Connection [" + connection + "]");
      }
      connection.close();
    }
  }

  protected void setDesiredAutoCommit(boolean desiredAutoCommit) {
    try {
      if (connection.getAutoCommit() != desiredAutoCommit) {
        if (log.isDebugEnabled()) {
          log.debug("Setting autocommit to " + desiredAutoCommit + " on JDBC Connection [" + connection + "]");
        }
        connection.setAutoCommit(desiredAutoCommit);
      }
    } catch (SQLException e) {
      throw new TransactionException("Error configuring AutoCommit.  "
          + "Your driver may not support getAutoCommit() or setAutoCommit(). "
          + "Requested setting: " + desiredAutoCommit + ".  Cause: " + e, e);
    }
  }
//将自动提交设置为true
  protected void resetAutoCommit() {
    try {
      if (!connection.getAutoCommit()) {
        if (log.isDebugEnabled()) {
          log.debug("Resetting autocommit to true on JDBC Connection [" + connection + "]");
        }
        connection.setAutoCommit(true);
      }
    } catch (SQLException e) {
      if (log.isDebugEnabled()) {
        log.debug("Error resetting autocommit to true "
          + "before closing the connection.  Cause: " + e);
      }
    }
  }
//开启连接,设置隔离级别和是否自动提交
  protected void openConnection() throws SQLException {
    if (log.isDebugEnabled()) {
      log.debug("Opening JDBC Connection");
    }
    connection = dataSource.getConnection();
    if (level != null) {
      connection.setTransactionIsolation(level.getLevel());
    }
    setDesiredAutoCommit(autoCommit);
  }

  @Override
  public Integer getTimeout() throws SQLException {
    return null;
  }
  
}

ManagedTransaction 基于容器管理的事务实现类

public class ManagedTransaction implements Transaction {

  private static final Log log = LogFactory.getLog(ManagedTransaction.class);

  private DataSource dataSource;
  private TransactionIsolationLevel level;
  private Connection connection;
  //是否关闭连接
  private final boolean closeConnection;

  public ManagedTransaction(Connection connection, boolean closeConnection) {
    this.connection = connection;
    this.closeConnection = closeConnection;
  }

  public ManagedTransaction(DataSource ds, TransactionIsolationLevel level, boolean closeConnection) {
    this.dataSource = ds;
    this.level = level;
    this.closeConnection = closeConnection;
  }

  @Override
  public Connection getConnection() throws SQLException {
  //连接为空就创建连接
    if (this.connection == null) {
      openConnection();
    }
    return this.connection;
  }

  @Override
  public void commit() throws SQLException {
    // Does nothing
  }

  @Override
  public void rollback() throws SQLException {
    // Does nothing
  }

  @Override
  public void close() throws SQLException {
  //只有开启关闭连接功能才会关闭连接
    if (this.closeConnection && this.connection != null) {
      if (log.isDebugEnabled()) {
        log.debug("Closing JDBC Connection [" + this.connection + "]");
      }
      this.connection.close();
    }
  }

  protected void openConnection() throws SQLException {
    if (log.isDebugEnabled()) {
      log.debug("Opening JDBC Connection");
    }
    this.connection = this.dataSource.getConnection();
    if (this.level != null) {
      this.connection.setTransactionIsolation(this.level.getLevel());
    }
  }

  @Override
  public Integer getTimeout() throws SQLException {
    return null;
  }

}

SpringManagedTransaction 现在基本使用的都是这个,属于spring范畴,暂不分析。

TransactionFactory Transaction的工厂接口

public interface TransactionFactory {

//设置工厂的属性
  void setProperties(Properties props);

//指定连接创建Transaction事务
  Transaction newTransaction(Connection conn);
  
//指定连接池.隔离级别以及是否自动提交来创建事务
  Transaction newTransaction(DataSource dataSource, TransactionIsolationLevel level, boolean autoCommit);

}

JdbcTransactionFactory 工厂实现类

public class JdbcTransactionFactory implements TransactionFactory {

  @Override
  //空实现
  public void setProperties(Properties props) {
  }

  @Override
  //创建jdbcTransaction
  public Transaction newTransaction(Connection conn) {
    return new JdbcTransaction(conn);
  }

  @Override
  public Transaction newTransaction(DataSource ds, TransactionIsolationLevel level, boolean autoCommit) {
    return new JdbcTransaction(ds, level, autoCommit);
  }
}

ManagedTransactionFactory

public class ManagedTransactionFactory implements TransactionFactory {
  private boolean closeConnection = true;

  @Override
  public void setProperties(Properties props) {
    if (props != null) {
      String closeConnectionProperty = props.getProperty("closeConnection");
      if (closeConnectionProperty != null) {
        closeConnection = Boolean.valueOf(closeConnectionProperty);
      }
    }
  }

  @Override
  public Transaction newTransaction(Connection conn) {
    return new ManagedTransaction(conn, closeConnection);
  }

  @Override
  public Transaction newTransaction(DataSource ds, TransactionIsolationLevel level, boolean autoCommit) {
    // Silently ignores autocommit and isolation level, as managed transactions are entirely
    // controlled by an external manager.  It's silently ignored so that
    // code remains portable between managed and unmanaged configurations.
    return new ManagedTransaction(ds, level, closeConnection);
  }
}

同样的这些都使用较少,目前基本使用SpringManagedTransaction。

6.缓存模块

对应的是cache包,优化数据库时有效的手段,可以将一部分的数据库请求拦截在这一层。可以分为一级缓存和二级缓存,但是这些缓存都是使用的JVM来实现的。
Cache 缓存容器接口 可以组合多个Cache通过装饰者模式

public interface Cache {

  String getId();//缓存实现类的id

  void putObject(Object key, Object value);//往缓存中添加数据,key一般是CacheKey对象

  Object getObject(Object key);//根据指定的key从缓存获取数据

  Object removeObject(Object key);//根据指定的key从缓存删除数据

  void clear();//清空缓存

  int getSize();//获取缓存的个数
  
  ReadWriteLock getReadWriteLock();//获取读写锁

}

PerpetualCache 永远不过期的Cache实现类

public class PerpetualCache implements Cache {
//标识
  private final String id;
//缓存容器
  private Map<Object, Object> cache = new HashMap<>();

  public PerpetualCache(String id) {
    this.id = id;
  }

  @Override
  public String getId() {
    return id;
  }

  @Override
  public int getSize() {
    return cache.size();
  }

  @Override
  public void putObject(Object key, Object value) {
    cache.put(key, value);
  }

  @Override
  public Object getObject(Object key) {
    return cache.get(key);
  }

  @Override
  public Object removeObject(Object key) {
    return cache.remove(key);
  }

  @Override
  public void clear() {
    cache.clear();
  }

  @Override
  public ReadWriteLock getReadWriteLock() {
    return null;
  }

  @Override
  public boolean equals(Object o) {
    if (getId() == null) {
      throw new CacheException("Cache instances require an ID.");
    }
    if (this == o) {
      return true;
    }
    if (!(o instanceof Cache)) {
      return false;
    }

    Cache otherCache = (Cache) o;
    //ID相等
    return getId().equals(otherCache.getId());
  }

  @Override
  public int hashCode() {
    if (getId() == null) {
      throw new CacheException("Cache instances require an ID.");
    }
    return getId().hashCode();
  }

}

LoggingCache 支持打印日志的Cache实现类

public class LoggingCache implements Cache {
//MyBatis Log对象
  private final Log log;
  //装饰的Cache对象
  private final Cache delegate;
  //统计请求缓存的次数
  protected int requests = 0;
  //统计命中缓存的次数
  protected int hits = 0;

  public LoggingCache(Cache delegate) {
    this.delegate = delegate;
    this.log = LogFactory.getLog(getId());
  }

  @Override
  public String getId() {
    return delegate.getId();
  }

  @Override
  public int getSize() {
    return delegate.getSize();
  }

  @Override
  public void putObject(Object key, Object object) {
    delegate.putObject(key, object);
  }

  @Override
 
  public Object getObject(Object key) {
   //请求缓存的次数会加一
    requests++;
    final Object value = delegate.getObject(key);
    if (value != null) {
    //如果命中,则命中次数加一
      hits++;
    }
    if (log.isDebugEnabled()) {
      log.debug("Cache Hit Ratio [" + getId() + "]: " + getHitRatio());
    }
    return value;
  }

  @Override
  public Object removeObject(Object key) {
    return delegate.removeObject(key);
  }

  @Override
  public void clear() {
    delegate.clear();
  }

  @Override
  public ReadWriteLock getReadWriteLock() {
    return null;
  }

  @Override
  public int hashCode() {
    return delegate.hashCode();
  }

  @Override
  public boolean equals(Object obj) {
    return delegate.equals(obj);
  }
//得到命中率
  private double getHitRatio() {
    return (double) hits / (double) requests;
  }

}

decoratorsBlockingCache 阻塞的Cache实现类

public class BlockingCache implements Cache {

  //阻塞的超时时长
  private long timeout;
  //被装饰的底层对象,一般是PerpetualCache
  private final Cache delegate;
  //锁对象集,粒度到key值
  private final ConcurrentHashMap<Object, ReentrantLock> locks;

  public BlockingCache(Cache delegate) {
    this.delegate = delegate;
    this.locks = new ConcurrentHashMap<>();
  }

  @Override
  public String getId() {
    return delegate.getId();
  }

  @Override
  public int getSize() {
    return delegate.getSize();
  }

  @Override
  public void putObject(Object key, Object value) {
    try {
    //添加缓存
      delegate.putObject(key, value);
    } finally {
    //释放锁
      releaseLock(key);
    }
  }

  @Override
  public Object getObject(Object key) {
    acquireLock(key);//根据key获得锁对象,获取锁成功加锁,获取锁失败阻塞一段时间重试
    Object value = delegate.getObject(key);
    if (value != null) {//获取数据成功的,要释放锁
      releaseLock(key);
    }        
    return value;
  }

  @Override
  public Object removeObject(Object key) {
    // despite of its name, this method is called only to release locks
    //释放锁
    releaseLock(key);
    return null;
  }

  @Override
  public void clear() {
    delegate.clear();
  }

  @Override
  public ReadWriteLock getReadWriteLock() {
    return null;
  }
  //获得 ReentrantLock 对象。如果不存在,进行添加
  private ReentrantLock getLockForKey(Object key) {
    ReentrantLock lock = new ReentrantLock();//创建锁
    ReentrantLock previous = locks.putIfAbsent(key, lock);//把新锁添加到locks集合中,如果添加成功使用新锁,如果添加失败则使用locks集合中的锁
    return previous == null ? lock : previous;
  }
  
//根据key获得锁对象,获取锁成功加锁,获取锁失败阻塞一段时间重试
  private void acquireLock(Object key) {
	//获得锁对象
    Lock lock = getLockForKey(key);
    if (timeout > 0) {//使用带超时时间的锁
      try {
        boolean acquired = lock.tryLock(timeout, TimeUnit.MILLISECONDS);
        if (!acquired) {//如果超时抛出异常
          throw new CacheException("Couldn't get a lock in " + timeout + " for the key " +  key + " at the cache " + delegate.getId());  
        }
      } catch (InterruptedException e) {
        throw new CacheException("Got interrupted while trying to acquire lock for key " + key, e);
      }
    } else {//使用不带超时时间的锁
      lock.lock();
    }
  }
  
  private void releaseLock(Object key) {
  //获得锁
    ReentrantLock lock = locks.get(key);
    //如果当前线程持有则进行释放
    if (lock.isHeldByCurrentThread()) {
      lock.unlock();
    }
  }

  public long getTimeout() {
    return timeout;
  }

  public void setTimeout(long timeout) {
    this.timeout = timeout;
  }  
}

SynchronizedCache 同步的Cache实现类,所有的方法都加了synchronized修饰符

public class SynchronizedCache implements Cache {

  private final Cache delegate;
  
  public SynchronizedCache(Cache delegate) {
    this.delegate = delegate;
  }

  @Override
  public String getId() {
    return delegate.getId();
  }

  @Override
  public synchronized int getSize() {
    return delegate.getSize();
  }

  @Override
  public synchronized void putObject(Object key, Object object) {
    delegate.putObject(key, object);
  }

  @Override
  public synchronized Object getObject(Object key) {
    return delegate.getObject(key);
  }

  @Override
  public synchronized Object removeObject(Object key) {
    return delegate.removeObject(key);
  }

  @Override
  public synchronized void clear() {
    delegate.clear();
  }

  @Override
  public int hashCode() {
    return delegate.hashCode();
  }

  @Override
  public boolean equals(Object obj) {
    return delegate.equals(obj);
  }

  @Override
  public ReadWriteLock getReadWriteLock() {
    return null;
  }

}

SerializedCache 支持序列化的Cache实现

public class SerializedCache implements Cache {

  private final Cache delegate;

  public SerializedCache(Cache delegate) {
    this.delegate = delegate;
  }

  @Override
  public String getId() {
    return delegate.getId();
  }

  @Override
  public int getSize() {
    return delegate.getSize();
  }

  @Override
  public void putObject(Object key, Object object) {
    if (object == null || object instanceof Serializable) {
    //序列化
      delegate.putObject(key, serialize((Serializable) object));
    } else {
      throw new CacheException("SharedCache failed to make a copy of a non-serializable object: " + object);
    }
  }

  @Override
  public Object getObject(Object key) {
    Object object = delegate.getObject(key);
    //反序列化
    return object == null ? null : deserialize((byte[]) object);
  }

  @Override
  public Object removeObject(Object key) {
    return delegate.removeObject(key);
  }

  @Override
  public void clear() {
    delegate.clear();
  }

  @Override
  public ReadWriteLock getReadWriteLock() {
    return null;
  }

  @Override
  public int hashCode() {
    return delegate.hashCode();
  }

  @Override
  public boolean equals(Object obj) {
    return delegate.equals(obj);
  }
//序列化
  private byte[] serialize(Serializable value) {
    try (ByteArrayOutputStream bos = new ByteArrayOutputStream();
         ObjectOutputStream oos = new ObjectOutputStream(bos)) {
      oos.writeObject(value);
      oos.flush();
      return bos.toByteArray();
    } catch (Exception e) {
      throw new CacheException("Error serializing object.  Cause: " + e, e);
    }
  }
//反序列化
  private Serializable deserialize(byte[] value) {
    Serializable result;
    try (ByteArrayInputStream bis = new ByteArrayInputStream(value);
         ObjectInputStream ois = new CustomObjectInputStream(bis)) {
      result = (Serializable) ois.readObject();
    } catch (Exception e) {
      throw new CacheException("Error deserializing object.  Cause: " + e, e);
    }
    return result;
  }

  public static class CustomObjectInputStream extends ObjectInputStream {

    public CustomObjectInputStream(InputStream in) throws IOException {
      super(in);
    }

    @Override
    protected Class<?> resolveClass(ObjectStreamClass desc) throws IOException, ClassNotFoundException {
      return Resources.classForName(desc.getName());
    }
    
  }

}

ScheduledCache 定时清空整个容器的Cache实现

public class ScheduledCache implements Cache {

  private final Cache delegate;
  protected long clearInterval;
  protected long lastClear;

  public ScheduledCache(Cache delegate) {
    this.delegate = delegate;
    //清空频率,默认1小时
    this.clearInterval = 60 * 60 * 1000; // 1 hour
    //最后的清空时间
    this.lastClear = System.currentTimeMillis();
  }

  public void setClearInterval(long clearInterval) {
    this.clearInterval = clearInterval;
  }

  @Override
  public String getId() {
    return delegate.getId();
  }

  @Override
  public int getSize() {
  //判断是否要清空
    clearWhenStale();
    return delegate.getSize();
  }

  @Override
  //存缓存的时候也要判断是否要全部清空
  public void putObject(Object key, Object object) {
    clearWhenStale();
    delegate.putObject(key, object);
  }
//取缓存的时候也要判断是否要全部清空
  @Override
  public Object getObject(Object key) {
    return clearWhenStale() ? null : delegate.getObject(key);
  }
//移除缓存的时候也要判断是否清空
  @Override
  public Object removeObject(Object key) {
    clearWhenStale();
    return delegate.removeObject(key);
  }

  @Override
  public void clear() {
    lastClear = System.currentTimeMillis();
    delegate.clear();
  }

  @Override
  public ReadWriteLock getReadWriteLock() {
    return null;
  }

  @Override
  public int hashCode() {
    return delegate.hashCode();
  }

  @Override
  public boolean equals(Object obj) {
    return delegate.equals(obj);
  }
//判断是否超时,超时就需要清空缓存
  private boolean clearWhenStale() {
    if (System.currentTimeMillis() - lastClear > clearInterval) {
      clear();
      return true;
    }
    return false;
  }

}

FifoCache 基于先进先出淘汰机制的Cache实现类

public class FifoCache implements Cache {

  private final Cache delegate;
  private final Deque<Object> keyList;
  private int size;

  public FifoCache(Cache delegate) {
    this.delegate = delegate;
    this.keyList = new LinkedList<>();
    //默认为1024
    this.size = 1024;
  }

  @Override
  public String getId() {
    return delegate.getId();
  }

  @Override
  public int getSize() {
    return delegate.getSize();
  }

  public void setSize(int size) {
    this.size = size;
  }

  @Override
  public void putObject(Object key, Object value) {
  //循环keyList
    cycleKeyList(key);
    delegate.putObject(key, value);
  }

  @Override
  public Object getObject(Object key) {
    return delegate.getObject(key);
  }

  @Override
  public Object removeObject(Object key) {
    return delegate.removeObject(key);
  }

  @Override
  public void clear() {
    delegate.clear();
    keyList.clear();
  }

  @Override
  public ReadWriteLock getReadWriteLock() {
    return null;
  }

  private void cycleKeyList(Object key) {
    keyList.addLast(key);
    //检测容量,如果满了就移除最先放入的那个
    if (keyList.size() > size) {
      Object oldestKey = keyList.removeFirst();
      delegate.removeObject(oldestKey);
    }
  }

}

LruCache 基于最少使用的淘汰机制的Cache实现

public class LruCache implements Cache {

  private final Cache delegate;
  private Map<Object, Object> keyMap;
  private Object eldestKey;

  public LruCache(Cache delegate) {
    this.delegate = delegate;
    setSize(1024);
  }

  @Override
  public String getId() {
    return delegate.getId();
  }

  @Override
  public int getSize() {
    return delegate.getSize();
  }

  public void setSize(final int size) {
  //LinkedHashMap的构造函数,当参数为true的时候会按照访问顺序排序,最近访问的放在最前,最后访问的放在后面
    keyMap = new LinkedHashMap<Object, Object>(size, .75F, true) {
      private static final long serialVersionUID = 4267176411845948333L;
//自带的删除最老的元素方法,默认返回false,即不删除老数据
      @Override
      protected boolean removeEldestEntry(Map.Entry<Object, Object> eldest) {
        boolean tooBig = size() > size;
        if (tooBig) {
          eldestKey = eldest.getKey();
        }
        return tooBig;
      }
    };
  }

  @Override
  public void putObject(Object key, Object value) {
    delegate.putObject(key, value);
    cycleKeyList(key);
  }

  @Override
  public Object getObject(Object key) {
    keyMap.get(key); //touch
    return delegate.getObject(key);
  }

  @Override
  public Object removeObject(Object key) {
    return delegate.removeObject(key);
  }

  @Override
  public void clear() {
    delegate.clear();
    keyMap.clear();
  }

  @Override
  public ReadWriteLock getReadWriteLock() {
    return null;
  }

  private void cycleKeyList(Object key) {
    keyMap.put(key, key);
    if (eldestKey != null) {
    //如果超过上限,则从delegate中移除最少使用的那个
      delegate.removeObject(eldestKey);
      eldestKey = null;
    }
  }

}

WeakCache 基于java.lang.ref.WeakReference 的 Cache 实现类,存缓存的时候如果后来一次也没被调用将优先被GC,如果调用过那么将加入强引用队列,只有强引用队列满了才会移除最先添加的那个

public class WeakCache implements Cache {
//强引用的键的队列
  private final Deque<Object> hardLinksToAvoidGarbageCollection;
  //被GC回收的WeakEntry集合
  private final ReferenceQueue<Object> queueOfGarbageCollectedEntries;
  private final Cache delegate;
  //强引用的键的队列
  private int numberOfHardLinks;

  public WeakCache(Cache delegate) {
    this.delegate = delegate;
    //默认强引用的个数
    this.numberOfHardLinks = 256;
    this.hardLinksToAvoidGarbageCollection = new LinkedList<>();
    this.queueOfGarbageCollectedEntries = new ReferenceQueue<>();
  }

  @Override
  public String getId() {
    return delegate.getId();
  }

  @Override
  public int getSize() {
  //移除已经被GC回收的WeakEntry
    removeGarbageCollectedItems();
    return delegate.getSize();
  }

  public void setSize(int size) {
    this.numberOfHardLinks = size;
  }

  @Override
  public void putObject(Object key, Object value) {
    removeGarbageCollectedItems();
    delegate.putObject(key, new WeakEntry(key, value, queueOfGarbageCollectedEntries));
  }

  @Override
  public Object getObject(Object key) {
    Object result = null;
    @SuppressWarnings("unchecked") // assumed delegate cache is totally managed by this cache
    //获得值的WeakReference对象
    WeakReference<Object> weakReference = (WeakReference<Object>) delegate.getObject(key);
    if (weakReference != null) {
    //获得值
      result = weakReference.get();
      if (result == null) {
      //为空则从delegate移除,意味着已经被GC回收
        delegate.removeObject(key);
      } else {
      //不为空就添加到强引用列表
        hardLinksToAvoidGarbageCollection.addFirst(result);
        //超过上限就移除队尾
        if (hardLinksToAvoidGarbageCollection.size() > numberOfHardLinks) {
          hardLinksToAvoidGarbageCollection.removeLast();
        }
      }
    }
    return result;
  }

  @Override
  public Object removeObject(Object key) {
  //移除已经被GC回收的WeakEntry
    removeGarbageCollectedItems();
    //移除delegate
    return delegate.removeObject(key);
  }

  @Override
  public void clear() {
  //清空强引用队列
    hardLinksToAvoidGarbageCollection.clear();
    //移除已经被GC回收的WeakEntry
    removeGarbageCollectedItems();
    delegate.clear();
  }

  @Override
  public ReadWriteLock getReadWriteLock() {
    return null;
  }
//移除已经被GC回收的键
  private void removeGarbageCollectedItems() {
    WeakEntry sv;
    while ((sv = (WeakEntry) queueOfGarbageCollectedEntries.poll()) != null) {
      delegate.removeObject(sv.key);
    }
  }

  private static class WeakEntry extends WeakReference<Object> {
    private final Object key;

    private WeakEntry(Object key, Object value, ReferenceQueue<Object> garbageCollectionQueue) {
      super(value, garbageCollectionQueue);
      this.key = key;
    }
  }

}

SoftCache 基于java.lang.ref.SoftReference 的 Cache 实现类,实现逻辑与WeakReference相似,差异在于SoftEntry代替了WeakEntry类

public class SoftCache implements Cache {
//强引用键的队列
  private final Deque<Object> hardLinksToAvoidGarbageCollection;
  //被GC回收的WeakEntry集合,避免被GC
  private final ReferenceQueue<Object> queueOfGarbageCollectedEntries;
  private final Cache delegate;
  private int numberOfHardLinks;

  public SoftCache(Cache delegate) {
    this.delegate = delegate;
    this.numberOfHardLinks = 256;
    this.hardLinksToAvoidGarbageCollection = new LinkedList<>();
    this.queueOfGarbageCollectedEntries = new ReferenceQueue<>();
  }

  @Override
  public String getId() {
    return delegate.getId();
  }

  @Override
  public int getSize() {
    removeGarbageCollectedItems();
    return delegate.getSize();
  }


  public void setSize(int size) {
    this.numberOfHardLinks = size;
  }

  @Override
  public void putObject(Object key, Object value) {
    removeGarbageCollectedItems();
    delegate.putObject(key, new SoftEntry(key, value, queueOfGarbageCollectedEntries));
  }

  @Override
  public Object getObject(Object key) {
    Object result = null;
    @SuppressWarnings("unchecked") // assumed delegate cache is totally managed by this cache
    //从delegate中获取key
    SoftReference<Object> softReference = (SoftReference<Object>) delegate.getObject(key);
    if (softReference != null) {
    //不为空就得到值
      result = softReference.get();
      if (result == null) {
      //值为空说明已经被GC 就移除队列
        delegate.removeObject(key);
      } else {
        //上锁地将结果添加到强引用队列
        synchronized (hardLinksToAvoidGarbageCollection) {
          hardLinksToAvoidGarbageCollection.addFirst(result);
          if (hardLinksToAvoidGarbageCollection.size() > numberOfHardLinks) {
            hardLinksToAvoidGarbageCollection.removeLast();
          }
        }
      }
    }
    return result;
  }

  @Override
  public Object removeObject(Object key) {
    removeGarbageCollectedItems();
    return delegate.removeObject(key);
  }

  @Override
  public void clear() {
    synchronized (hardLinksToAvoidGarbageCollection) {
      hardLinksToAvoidGarbageCollection.clear();
    }
    removeGarbageCollectedItems();
    delegate.clear();
  }

  @Override
  public ReadWriteLock getReadWriteLock() {
    return null;
  }

  private void removeGarbageCollectedItems() {
    SoftEntry sv;
    while ((sv = (SoftEntry) queueOfGarbageCollectedEntries.poll()) != null) {
      delegate.removeObject(sv.key);
    }
  }

  private static class SoftEntry extends SoftReference<Object> {
    private final Object key;

    SoftEntry(Object key, Object value, ReferenceQueue<Object> garbageCollectionQueue) {
      super(value, garbageCollectionQueue);
      this.key = key;
    }
  }

}

CacheKey MyBatis的缓存键并不是一个简单的String,是由多个对象组成,而CacheKey就是用来将多个对象放在一起计算其缓存键。

//实现了 Cloneable、Serializable 接口
public class CacheKey implements Cloneable, Serializable {

  private static final long serialVersionUID = 1146682552656046210L;
//单例,空缓存键
  public static final CacheKey NULL_CACHE_KEY = new NullCacheKey();
//默认的multiplier
  private static final int DEFAULT_MULTIPLYER = 37;
  //默认的hashcode值
  private static final int DEFAULT_HASHCODE = 17;

  private final int multiplier;//参与hash计算的乘数
  private int hashcode;//CacheKey的hash值,在update函数中实时运算出来的
  private long checksum;//校验和,hash值的和
  private int count;//updateList的中元素个数
  //该集合中的元素觉得两个CacheKey是否相等
  private List<Object> updateList;

  public CacheKey() {
    this.hashcode = DEFAULT_HASHCODE;
    this.multiplier = DEFAULT_MULTIPLYER;
    this.count = 0;
    this.updateList = new ArrayList<>();
  }

  public CacheKey(Object[] objects) {
    this();
    //基于objects更新相关属性
    updateAll(objects);
  }

  public int getUpdateCount() {
    return updateList.size();
  }

  public void update(Object object) {
	//获取object的hash值
    int baseHashCode = object == null ? 1 : ArrayUtil.hashCode(object); 
    //更新count、checksum以及hashcode的值
    count++;
    checksum += baseHashCode;
    baseHashCode *= count;
    hashcode = multiplier * hashcode + baseHashCode;
    //将对象添加到updateList中
    updateList.add(object);
  }

  public void updateAll(Object[] objects) {
    for (Object o : objects) {
      update(o);
    }
  }

  @Override
  public boolean equals(Object object) {
    if (this == object) {//比较是不是同一个对象
      return true;
    }
    if (!(object instanceof CacheKey)) {//是否类型相同
      return false;
    }

    final CacheKey cacheKey = (CacheKey) object;

    if (hashcode != cacheKey.hashcode) {//hashcode是否相同
      return false;
    }
    if (checksum != cacheKey.checksum) {//checksum是否相同
      return false;
    }
    if (count != cacheKey.count) {//count是否相同
      return false;
    }

    //以上都不相同,才按顺序比较updateList中元素的hash值是否一致
    for (int i = 0; i < updateList.size(); i++) {
      Object thisObject = updateList.get(i);
      Object thatObject = cacheKey.updateList.get(i);
      if (!ArrayUtil.equals(thisObject, thatObject)) {
        return false;
      }
    }
    return true;
  }

  @Override
  public int hashCode() {
    return hashcode;
  }

  @Override
  public String toString() {
    StringBuilder returnValue = new StringBuilder().append(hashcode).append(':').append(checksum);
    for (Object object : updateList) {
      returnValue.append(':').append(ArrayUtil.toString(object));
    }
    return returnValue.toString();
  }

  @Override
  public CacheKey clone() throws CloneNotSupportedException {
  //克隆CacheKey对象
    CacheKey clonedCacheKey = (CacheKey) super.clone();
    //深克隆,重新生成一个list
    clonedCacheKey.updateList = new ArrayList<>(updateList);
    return clonedCacheKey;
  }

}

NullCacheKey 继承 CacheKey 类,空缓存键

public final class NullCacheKey extends CacheKey {

  private static final long serialVersionUID = 3704229911977019465L;

  public NullCacheKey() {
    super();
  }

  @Override
  public void update(Object object) {
    throw new CacheException("Not allowed to update a NullCacheKey instance.");
  }

  @Override
  public void updateAll(Object[] objects) {
    throw new CacheException("Not allowed to update a NullCacheKey instance.");
  }
}

二级缓存跟核心处理层一起看。

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