先看下Mybatis中的缓存类：

image.png

一级缓存

mybatis默认自带了一级缓存，生命周期是一个sqlSession里

我们来看下源代码中实现：

@Override
  public <E> List<E> query(MappedStatement ms, Object parameter, RowBounds rowBounds, ResultHandler resultHandler, CacheKey key, BoundSql boundSql) throws SQLException {
    ErrorContext.instance().resource(ms.getResource()).activity("executing a query").object(ms.getId());
    if (closed) {
      throw new ExecutorException("Executor was closed.");
    }
    if (queryStack == 0 && ms.isFlushCacheRequired()) {
      clearLocalCache();
    }
    List<E> list;
    try {
      queryStack++;
//从本地缓存中读取
      list = resultHandler == null ? (List<E>) localCache.getObject(key) : null;
      if (list != null) {//如果缓存中存在，则处理缓存数据
        handleLocallyCachedOutputParameters(ms, key, parameter, boundSql);
      } else {//否则从数据库读取
        list = queryFromDatabase(ms, parameter, rowBounds, resultHandler, key, boundSql);
      }
    } finally {
      queryStack--;
    }
    if (queryStack == 0) {
      for (DeferredLoad deferredLoad : deferredLoads) {
        deferredLoad.load();
      }
      // issue #601
      deferredLoads.clear();
      if (configuration.getLocalCacheScope() == LocalCacheScope.STATEMENT) {
        // issue #482
        clearLocalCache();
      }
    }
    return list;
  }

//update的时候直接清空缓存，commit和rollback的时候同样，这样比较简单粗暴
@Override
  public int update(MappedStatement ms, Object parameter) throws SQLException {
    ErrorContext.instance().resource(ms.getResource()).activity("executing an update").object(ms.getId());
    if (closed) {
      throw new ExecutorException("Executor was closed.");
    }
    clearLocalCache();
    return doUpdate(ms, parameter);
  }

//生成cachekey，将查询的一些关键属性作为key
@Override
  public CacheKey createCacheKey(MappedStatement ms, Object parameterObject, RowBounds rowBounds, BoundSql boundSql) {
    if (closed) {
      throw new ExecutorException("Executor was closed.");
    }
    CacheKey cacheKey = new CacheKey();
    cacheKey.update(ms.getId());
    cacheKey.update(rowBounds.getOffset());
    cacheKey.update(rowBounds.getLimit());
    cacheKey.update(boundSql.getSql());
    List<ParameterMapping> parameterMappings = boundSql.getParameterMappings();
    TypeHandlerRegistry typeHandlerRegistry = ms.getConfiguration().getTypeHandlerRegistry();
    // mimic DefaultParameterHandler logic
    for (ParameterMapping parameterMapping : parameterMappings) {
      if (parameterMapping.getMode() != ParameterMode.OUT) {
        Object value;
        String propertyName = parameterMapping.getProperty();
        if (boundSql.hasAdditionalParameter(propertyName)) {
          value = boundSql.getAdditionalParameter(propertyName);
        } else if (parameterObject == null) {
          value = null;
        } else if (typeHandlerRegistry.hasTypeHandler(parameterObject.getClass())) {
          value = parameterObject;
        } else {
          MetaObject metaObject = configuration.newMetaObject(parameterObject);
          value = metaObject.getValue(propertyName);
        }
        cacheKey.update(value);
      }
    }
    if (configuration.getEnvironment() != null) {
      // issue #176
      cacheKey.update(configuration.getEnvironment().getId());
    }
    return cacheKey;
  }

全局变量中可以找到protected PerpetualCache localCache;
展开PerpetualCache其实就是最基本的hashmap了。

二级缓存

默认二级缓存是关闭的

Mybatis的二级缓存有2个开关：

• Configuration中的cacheEnabled是全局开关，用来判断是否要创建CachingExecutor，默认是开启的。但是...

public Executor newExecutor(Transaction transaction, ExecutorType executorType) {
    executorType = executorType == null ? defaultExecutorType : executorType;
    executorType = executorType == null ? ExecutorType.SIMPLE : executorType;
    Executor executor;
    if (ExecutorType.BATCH == executorType) {
      executor = new BatchExecutor(this, transaction);
    } else if (ExecutorType.REUSE == executorType) {
      executor = new ReuseExecutor(this, transaction);
    } else {
      executor = new SimpleExecutor(this, transaction);
    }
//当cacheEnabled=true时会用CachingExecutor代理原执行器
    if (cacheEnabled) {
      executor = new CachingExecutor(executor);
    }
    executor = (Executor) interceptorChain.pluginAll(executor);
    return executor;
  }

• 在每个MappedStatement(可以理解为每一个Mapper.xml中sql语句的映射)中单独又有一个useCache的开关

private void parseSelectKeyNode(String id, XNode nodeToHandle, Class<?> parameterTypeClass, LanguageDriver langDriver, String databaseId) {
    String resultType = nodeToHandle.getStringAttribute("resultType");
    Class<?> resultTypeClass = resolveClass(resultType);
    StatementType statementType = StatementType.valueOf(nodeToHandle.getStringAttribute("statementType", StatementType.PREPARED.toString()));
    String keyProperty = nodeToHandle.getStringAttribute("keyProperty");
    String keyColumn = nodeToHandle.getStringAttribute("keyColumn");
    boolean executeBefore = "BEFORE".equals(nodeToHandle.getStringAttribute("order", "AFTER"));

    //defaults
  // 默认是false
    boolean useCache = false;
    boolean resultOrdered = false;
    KeyGenerator keyGenerator = NoKeyGenerator.INSTANCE;
    Integer fetchSize = null;
    Integer timeout = null;
    boolean flushCache = false;
    String parameterMap = null;
    String resultMap = null;
    ResultSetType resultSetTypeEnum = null;

    SqlSource sqlSource = langDriver.createSqlSource(configuration, nodeToHandle, parameterTypeClass);
    SqlCommandType sqlCommandType = SqlCommandType.SELECT;

//
    builderAssistant.addMappedStatement(id, sqlSource, statementType, sqlCommandType,
        fetchSize, timeout, parameterMap, parameterTypeClass, resultMap, resultTypeClass,
        resultSetTypeEnum, flushCache, useCache, resultOrdered,
        keyGenerator, keyProperty, keyColumn, databaseId, langDriver, null);

    id = builderAssistant.applyCurrentNamespace(id, false);

    MappedStatement keyStatement = configuration.getMappedStatement(id, false);
    configuration.addKeyGenerator(id, new SelectKeyGenerator(keyStatement, executeBefore));
  }

public MappedStatement addMappedStatement{
...
//如果是select语句默认是要开启缓存的
boolean isSelect = sqlCommandType == SqlCommandType.SELECT;
MappedStatement.Builder statementBuilder = new MappedStatement.Builder(configuration, id, sqlSource, sqlCommandType)
        .resource(resource)
        .fetchSize(fetchSize)
        .timeout(timeout)
        .statementType(statementType)
        .keyGenerator(keyGenerator)
        .keyProperty(keyProperty)
        .keyColumn(keyColumn)
        .databaseId(databaseId)
        .lang(lang)
        .resultOrdered(resultOrdered)
        .resultSets(resultSets)
        .resultMaps(getStatementResultMaps(resultMap, resultType, id))
        .resultSetType(resultSetType)
        .flushCacheRequired(valueOrDefault(flushCache, !isSelect))
//默认是false
        .useCache(valueOrDefault(useCache, isSelect))
        .cache(currentCache);//currentCache是从哪儿来的呢
...
}

上面的代码可以看到.cache(currentCache)，缓存用的是currentCache，那么这个currentCache是怎么来的呢,
看下面的代码：
可以看到cache是在解析Mapper.xml的时候配置的，每个cache以namespace作为key分隔：
<mapper namespace="XXXXXXX.AccountInfoMapper">

private void configurationElement(XNode context) {
    try {
      String namespace = context.getStringAttribute("namespace");
      if (namespace == null || namespace.equals("")) {
        throw new BuilderException("Mapper's namespace cannot be empty");
      }
      builderAssistant.setCurrentNamespace(namespace);
      cacheRefElement(context.evalNode("cache-ref"));
      cacheElement(context.evalNode("cache"));
      parameterMapElement(context.evalNodes("/mapper/parameterMap"));
      resultMapElements(context.evalNodes("/mapper/resultMap"));
      sqlElement(context.evalNodes("/mapper/sql"));
      buildStatementFromContext(context.evalNodes("select|insert|update|delete"));
    } catch (Exception e) {
      throw new BuilderException("Error parsing Mapper XML. The XML location is '" + resource + "'. Cause: " + e, e);
    }
  }

public Cache useCacheRef(String namespace) {
    if (namespace == null) {
      throw new BuilderException("cache-ref element requires a namespace attribute.");
    }
    try {
      unresolvedCacheRef = true;
      Cache cache = configuration.getCache(namespace);
      if (cache == null) {
        throw new IncompleteElementException("No cache for namespace '" + namespace + "' could be found.");
      }
      currentCache = cache;
      unresolvedCacheRef = false;
      return cache;
    } catch (IllegalArgumentException e) {
      throw new IncompleteElementException("No cache for namespace '" + namespace + "' could be found.", e);
    }
  }

那么这样的缓存策略有什么问题呢，一般来说我们通过MybatisGenerater生成的每一个Mapper都有一个独立的namespace，乍一看没啥问题。
但是当自动生成不满足我们需求，需要手写的时候问题就出现了，
假如有2个mapper：accountMapper、accountInfoMapper，后者在自己的namespace内修改了account，而前者是感知不到的，这个时候就会出现缓存不一致的问题，所以为了避免出现这种情况，尽量少用二级缓存。

二级缓存的核心是CachingExecutor类

CachingExecutor：

@Override
  public <E> List<E> query(MappedStatement ms, Object parameterObject, RowBounds rowBounds, ResultHandler resultHandler, CacheKey key, BoundSql boundSql)
      throws SQLException {
    Cache cache = ms.getCache();
    if (cache != null) {
      flushCacheIfRequired(ms);
//这里不深入展开，只要是select的useCache为true
      if (ms.isUseCache() && resultHandler == null) {
        ensureNoOutParams(ms, boundSql);
        @SuppressWarnings("unchecked")
        List<E> list = (List<E>) tcm.getObject(cache, key);
        if (list == null) {
          list = delegate.<E> query(ms, parameterObject, rowBounds, resultHandler, key, boundSql);
          tcm.putObject(cache, key, list); // issue #578 and #116
        }
        return list;
      }
    }
    return delegate.<E> query(ms, parameterObject, rowBounds, resultHandler, key, boundSql);
  }

再看tmc(TransactionalCacheManager) & TransactionalCache:

/**
*事务缓存，只有提交的时候才会放到缓存中，回滚的时候清空
**/
public class TransactionalCacheManager {

  private final Map<Cache, TransactionalCache> transactionalCaches = new HashMap<Cache, TransactionalCache>();

  public void clear(Cache cache) {
    getTransactionalCache(cache).clear();
  }

  public Object getObject(Cache cache, CacheKey key) {
    return getTransactionalCache(cache).getObject(key);
  }
  
  public void putObject(Cache cache, CacheKey key, Object value) {
    getTransactionalCache(cache).putObject(key, value);
  }

  public void commit() {
    for (TransactionalCache txCache : transactionalCaches.values()) {
      txCache.commit();
    }
  }

  public void rollback() {
    for (TransactionalCache txCache : transactionalCaches.values()) {
      txCache.rollback();
    }
  }

  private TransactionalCache getTransactionalCache(Cache cache) {
    TransactionalCache txCache = transactionalCaches.get(cache);
    if (txCache == null) {
      txCache = new TransactionalCache(cache);
      transactionalCaches.put(cache, txCache);
    }
    return txCache;
  }

}

/**
 * The 2nd level cache transactional buffer.
 * 
 * This class holds all cache entries that are to be added to the 2nd level cache during a Session.
 * Entries are sent to the cache when commit is called or discarded if the Session is rolled back. 
 * Blocking cache support has been added. Therefore any get() that returns a cache miss 
 * will be followed by a put() so any lock associated with the key can be released. 
 * 
 * @author Clinton Begin
 * @author Eduardo Macarron
 */
public class TransactionalCache implements Cache {

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

  private final Cache delegate;
  private boolean clearOnCommit;
  private final Map<Object, Object> entriesToAddOnCommit;
  private final Set<Object> entriesMissedInCache;

  public TransactionalCache(Cache delegate) {
    this.delegate = delegate;
    this.clearOnCommit = false;
    this.entriesToAddOnCommit = new HashMap<Object, Object>();
    this.entriesMissedInCache = new HashSet<Object>();
  }

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

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

  @Override
  public Object getObject(Object key) {
    // issue #116
    Object object = delegate.getObject(key);
    if (object == null) {
      entriesMissedInCache.add(key);
    }
    // issue #146
    if (clearOnCommit) {
      return null;
    } else {
      return object;
    }
  }

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

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

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

  @Override
  public void clear() {
    clearOnCommit = true;
    entriesToAddOnCommit.clear();
  }

  public void commit() {
    if (clearOnCommit) {
      delegate.clear();
    }
    flushPendingEntries();
    reset();
  }

  public void rollback() {
    unlockMissedEntries();
    reset();
  }

  private void reset() {
    clearOnCommit = false;
    entriesToAddOnCommit.clear();
    entriesMissedInCache.clear();
  }

  private void flushPendingEntries() {
    for (Map.Entry<Object, Object> entry : entriesToAddOnCommit.entrySet()) {
      delegate.putObject(entry.getKey(), entry.getValue());
    }
    for (Object entry : entriesMissedInCache) {
      if (!entriesToAddOnCommit.containsKey(entry)) {
        delegate.putObject(entry, null);
      }
    }
  }

  private void unlockMissedEntries() {
    for (Object entry : entriesMissedInCache) {
      try {
        delegate.removeObject(entry);
      } catch (Exception e) {
        log.warn("Unexpected exception while notifiying a rollback to the cache adapter."
            + "Consider upgrading your cache adapter to the latest version.  Cause: " + e);
      }
    }
  }

}

可以看到，二级缓存是在原缓存的基础上加了一层代理，代理类存放临时的结果集，当事务提交后，再将临时的结果集刷到MappedStatement关联的缓存中。可以理解为每个二级缓存是按sql模板做区分的