Mybatis源码分析——如何执行一条sql

Mybatis源码分析——如何为dao类生成代理对象

从上面这篇文章中,我们知道,mybatis为dao类生成了一个代理对象,最终调用SqlSession的方法来执行sql。那SqlSession是如何产生的呢,当然是通过SqlSessionFactory创建的啦,那SqlSessionFactory又是如何产生的呢,当然是通过SqlSessionFactoryBuilder创建的啦。

SqlSessionFactory有2个实现类,DefaultSqlSessionFactory和SqlSessionManager。SqlSessionManager比较特殊,它同时还实现SqlSession,后面再分析它。

在分析解析mybatis-config.xml的时候,我们知道SqlSessionFactoryBuilder返回的是DefaultSqlSessionFactory实例。

SqlSession有3个实现类,分别是DefaultSqlSession、SqlSessionManager、SqlSessionTemplate,后2者其实也是通过代理的方式,最终由DefaultSqlSession实现功能。

那么,SqlSession是如何得到的呢?答案是DefaultSqlSessionFactory.openSession,如下

  @Override
  public SqlSession openSession() {
    return openSessionFromDataSource(configuration.getDefaultExecutorType(), null, false);
  }

private SqlSession openSessionFromDataSource(ExecutorType execType, TransactionIsolationLevel level, boolean autoCommit) {
    Transaction tx = null;
    try {
      final Environment environment = configuration.getEnvironment();
      final TransactionFactory transactionFactory = getTransactionFactoryFromEnvironment(environment);
      tx = transactionFactory.newTransaction(environment.getDataSource(), level, autoCommit);
      final Executor executor = configuration.newExecutor(tx, execType);
      return new DefaultSqlSession(configuration, executor, autoCommit);
    } catch (Exception e) {
      closeTransaction(tx); // may have fetched a connection so lets call close()
      throw ExceptionFactory.wrapException("Error opening session.  Cause: " + e, e);
    } finally {
      ErrorContext.instance().reset();
    }
  }
  private SqlSession openSessionFromConnection(ExecutorType execType, Connection connection) {
    try {
      boolean autoCommit;
      try {
        autoCommit = connection.getAutoCommit();
      } catch (SQLException e) {
        // Failover to true, as most poor drivers
        // or databases won't support transactions
        autoCommit = true;
      }      
      final Environment environment = configuration.getEnvironment();
      final TransactionFactory transactionFactory = getTransactionFactoryFromEnvironment(environment);
      final Transaction tx = transactionFactory.newTransaction(connection);
      final Executor executor = configuration.newExecutor(tx, execType);
      return new DefaultSqlSession(configuration, executor, autoCommit);
    } catch (Exception e) {
      throw ExceptionFactory.wrapException("Error opening session.  Cause: " + e, e);
    } finally {
      ErrorContext.instance().reset();
    }
  }

 

openSession有很多重写的方法,最根本还是openSessionFromDataSource和openSessionFromConnection,一个是通过数据源打开,另一个是通过连接打开。

从上面代码可以看到,首先通过environment获取事务管理器,在解析mybatis-config.xml的时候,已经设置了事务管理器为SpringManagedTransactionFactory,然后获取Transaction,从下面代码可以看到,通过connection获取事务的方法是不支持的,所以走的还是openSessionFromDataSource。这里返回的是SpringManagedTransaction。


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


  @Override
  public Transaction newTransaction(Connection conn) {
    throw new UnsupportedOperationException("New Spring transactions require a DataSource");
  }

接着,通过事务Transaction和ExecutorType创建Executor,如下

  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);
    }
    if (cacheEnabled) {
      executor = new CachingExecutor(executor);
    }
    executor = (Executor) interceptorChain.pluginAll(executor);
    return executor;
  }

可以看到,不同的ExecutorType对应不用的Executor,这里用的是策略模式。同时,还会把Executor绑定到拦截器的链条里。

最后 ,把Executor绑定到DefaultSqlSession,并设置是否自动提交,然后返回。

 

好了,获取到了DefaultSqlSession,那怎么执行sql呢,我们回到MapperProxy.invoke看起。如下

@Override
  public Object invoke(Object proxy, Method method, Object[] args) throws Throwable {
    try {
      if (Object.class.equals(method.getDeclaringClass())) {
        return method.invoke(this, args);
      } else if (isDefaultMethod(method)) {
        return invokeDefaultMethod(proxy, method, args);
      }
    } catch (Throwable t) {
      throw ExceptionUtil.unwrapThrowable(t);
    }
    final MapperMethod mapperMethod = cachedMapperMethod(method);
    return mapperMethod.execute(sqlSession, args);
  }

  private MapperMethod cachedMapperMethod(Method method) {
    MapperMethod mapperMethod = methodCache.get(method);
    if (mapperMethod == null) {
      mapperMethod = new MapperMethod(mapperInterface, method, sqlSession.getConfiguration());
      methodCache.put(method, mapperMethod);
    }
    return mapperMethod;
  }

重点在new MapperMethod(mapperInterface, method, sqlSession.getConfiguration());,这里的缓存也很重要,因为new MapperMethod做了很多事情,如下

  public MapperMethod(Class mapperInterface, Method method, Configuration config) {
    this.command = new SqlCommand(config, mapperInterface, method);
    this.method = new MethodSignature(config, mapperInterface, method);
  }

这里初始化SqlCommand和MethodSignature。

SqlCommand是MapperMethod的一个内部类,2个属性,name和type,如下

public static class SqlCommand {

    private final String name;
    private final SqlCommandType type;

    public SqlCommand(Configuration configuration, Class mapperInterface, Method method) {
      String statementName = mapperInterface.getName() + "." + method.getName();
      MappedStatement ms = null;
      if (configuration.hasStatement(statementName)) {
        ms = configuration.getMappedStatement(statementName);
      } else if (!mapperInterface.equals(method.getDeclaringClass())) { // issue #35
        String parentStatementName = method.getDeclaringClass().getName() + "." + method.getName();
        if (configuration.hasStatement(parentStatementName)) {
          ms = configuration.getMappedStatement(parentStatementName);
        }
      }
      if (ms == null) {
        if(method.getAnnotation(Flush.class) != null){
          name = null;
          type = SqlCommandType.FLUSH;
        } else {
          throw new BindingException("Invalid bound statement (not found): " + statementName);
        }
      } else {
        name = ms.getId();
        type = ms.getSqlCommandType();
        if (type == SqlCommandType.UNKNOWN) {
          throw new BindingException("Unknown execution method for: " + name);
        }
      }
    }

    public String getName() {
      return name;
    }

    public SqlCommandType getType() {
      return type;
    }
  }

先拼接类名+方法名,去configuration的Map mappedStatements找到对应的MappedStatement,然后得到它的id和SqlCommandType。

再来看MethodSignature,它也是一个内部类,如下

public static class MethodSignature {

    private final boolean returnsMany;
    private final boolean returnsMap;
    private final boolean returnsVoid;
    private final boolean returnsCursor;
    private final Class returnType;
    private final String mapKey;
    private final Integer resultHandlerIndex;
    private final Integer rowBoundsIndex;
    private final ParamNameResolver paramNameResolver;

    public MethodSignature(Configuration configuration, Class mapperInterface, Method method) {
      Type resolvedReturnType = TypeParameterResolver.resolveReturnType(method, mapperInterface);
      if (resolvedReturnType instanceof Class) {
        this.returnType = (Class) resolvedReturnType;
      } else if (resolvedReturnType instanceof ParameterizedType) {
        this.returnType = (Class) ((ParameterizedType) resolvedReturnType).getRawType();
      } else {
        this.returnType = method.getReturnType();
      }
      this.returnsVoid = void.class.equals(this.returnType);
      this.returnsMany = (configuration.getObjectFactory().isCollection(this.returnType) || this.returnType.isArray());
      this.returnsCursor = Cursor.class.equals(this.returnType);
      this.mapKey = getMapKey(method);
      this.returnsMap = (this.mapKey != null);
      this.rowBoundsIndex = getUniqueParamIndex(method, RowBounds.class);
      this.resultHandlerIndex = getUniqueParamIndex(method, ResultHandler.class);
      this.paramNameResolver = new ParamNameResolver(configuration, method);
    }

    //省略其它的
  }

这里主要是解析方法的返回类型,以及RowBounds和ResultHandler的下标位置,还绑定了参数解析器ParamNameResolver。

 

介绍完了MapperMethod,再来看看它的execute方法,这里面是真正执行sql的地方。我们先从SELECT类型开始吧,如下

case SELECT:
        if (method.returnsVoid() && method.hasResultHandler()) {
          executeWithResultHandler(sqlSession, args);
          result = null;
        } else if (method.returnsMany()) {
          result = executeForMany(sqlSession, args);
        } else if (method.returnsMap()) {
          result = executeForMap(sqlSession, args);
        } else if (method.returnsCursor()) {
          result = executeForCursor(sqlSession, args);
        } else {
          Object param = method.convertArgsToSqlCommandParam(args);
          result = sqlSession.selectOne(command.getName(), param);
        }
        break;

先看简单的,查询结果只有一条的,如下

Object param = method.convertArgsToSqlCommandParam(args);
result = sqlSession.selectOne(command.getName(), param);

convertArgsToSqlCommandParam是解析参数,如下

    public Object convertArgsToSqlCommandParam(Object[] args) {
      return paramNameResolver.getNamedParams(args);
    }

在看这个方法前,我们先回头看一下在MethodSignature绑定的ParamNameResolver,看它的构造方法,如下

  private final SortedMap names;

  public ParamNameResolver(Configuration config, Method method) {
    final Class[] paramTypes = method.getParameterTypes();
    final Annotation[][] paramAnnotations = method.getParameterAnnotations();
    final SortedMap map = new TreeMap();
    int paramCount = paramAnnotations.length;
    // get names from @Param annotations
    for (int paramIndex = 0; paramIndex < paramCount; paramIndex++) {
      if (isSpecialParameter(paramTypes[paramIndex])) {
        // skip special parameters
        continue;
      }
      String name = null;
      for (Annotation annotation : paramAnnotations[paramIndex]) {
        if (annotation instanceof Param) {
          hasParamAnnotation = true;
          name = ((Param) annotation).value();
          break;
        }
      }
      if (name == null) {
        // @Param was not specified.
        if (config.isUseActualParamName()) {
          name = getActualParamName(method, paramIndex);
        }
        if (name == null) {
          // use the parameter index as the name ("0", "1", ...)
          // gcode issue #71
          name = String.valueOf(map.size());
        }
      }
      map.put(paramIndex, name);
    }
    names = Collections.unmodifiableSortedMap(map);
  }

这里有个names集合,它会解析方法的参数列表,读取参数是否以@param注解修饰,并且跳过RowBounds和ResultHandler的参数,最终加入到names集合,key是参数顺序的下标,value是参数名称,如果没有指定参数名称,那就是当前实际参数的数量。

再回到getNamedParams方法,如下

public Object getNamedParams(Object[] args) {
    final int paramCount = names.size();
    if (args == null || paramCount == 0) {
      return null;
    } else if (!hasParamAnnotation && paramCount == 1) {
      return args[names.firstKey()];
    } else {
      final Map param = new ParamMap();
      int i = 0;
      for (Map.Entry entry : names.entrySet()) {
        param.put(entry.getValue(), args[entry.getKey()]);
        // add generic param names (param1, param2, ...)
        final String genericParamName = GENERIC_NAME_PREFIX + String.valueOf(i + 1);
        // ensure not to overwrite parameter named with @Param
        if (!names.containsValue(genericParamName)) {
          param.put(genericParamName, args[entry.getKey()]);
        }
        i++;
      }
      return param;
    }
  }

这里就是把我们实际传入的参数,根据上一步骤得到的names集合,组装成param的Map,key是参数名称,value就是实际传入的参数。

 

解析得到入参后,回到sqlSession.selectOne(command.getName(), param);来看看吧,如下

  @Override
  public  T selectOne(String statement, Object parameter) {
    // Popular vote was to return null on 0 results and throw exception on too many.
    List list = this.selectList(statement, parameter);
    if (list.size() == 1) {
      return list.get(0);
    } else if (list.size() > 1) {
      throw new TooManyResultsException("Expected one result (or null) to be returned by selectOne(), but found: " + list.size());
    } else {
      return null;
    }
  }
  @Override
  public  List selectList(String statement, Object parameter) {
    return this.selectList(statement, parameter, RowBounds.DEFAULT);
  }

这里使用默认的不分页的RowBounds。

  @Override
  public  List selectList(String statement, Object parameter, RowBounds rowBounds) {
    try {
      MappedStatement ms = configuration.getMappedStatement(statement);
      return executor.query(ms, wrapCollection(parameter), rowBounds, Executor.NO_RESULT_HANDLER);
    } catch (Exception e) {
      throw ExceptionFactory.wrapException("Error querying database.  Cause: " + e, e);
    } finally {
      ErrorContext.instance().reset();
    }
  }

从configuration的Map mappedStatements取出MappedStatement,这里传进来的statement就是类名+方法名,也就是namespace.id。

接着,就把MappedStatement交给Executor执行,Executor有2个实现类:BaseExecutor和CachingExecutor。如果开启了缓存,则交给CachingExecutor执行,CachingExecutor使用了模板方法的模式,最终还是交给BaseExecutor的实现类来执行。BaseExecutor有3个实现类,分别是BatchExecutor、ReuseExecutor和SimpleExecutor,由ExecutorType来选择。

 

我们来看BaseExecutor.query,如下

  @Override
  public  List query(MappedStatement ms, Object parameter, RowBounds rowBounds, ResultHandler resultHandler) throws SQLException {
    BoundSql boundSql = ms.getBoundSql(parameter);
    CacheKey key = createCacheKey(ms, parameter, rowBounds, boundSql);
    return query(ms, parameter, rowBounds, resultHandler, key, boundSql);
 }

首先获取BoundSql,BoundSql包含了可执行的sql及入参。那如何获取BoundSql呢,我们来看一下,MappedStatement.getBoundSql方法,如下

  public BoundSql getBoundSql(Object parameterObject) {
    BoundSql boundSql = sqlSource.getBoundSql(parameterObject);
    List parameterMappings = boundSql.getParameterMappings();
    if (parameterMappings == null || parameterMappings.isEmpty()) {
      boundSql = new BoundSql(configuration, boundSql.getSql(), parameterMap.getParameterMappings(), parameterObject);
    }

    // check for nested result maps in parameter mappings (issue #30)
    for (ParameterMapping pm : boundSql.getParameterMappings()) {
      String rmId = pm.getResultMapId();
      if (rmId != null) {
        ResultMap rm = configuration.getResultMap(rmId);
        if (rm != null) {
          hasNestedResultMaps |= rm.hasNestedResultMaps();
        }
      }
    }

    return boundSql;
  }

这里可以看到,BoundSql是通过SqlSource获取的,SqlSource是在解析mapper.xml文件的时候绑定到MappedStatement的,根据sql类型绑定不同的SqlSource实例。我们来看DynamicSqlSource.getBoundSql,如下

  @Override
  public BoundSql getBoundSql(Object parameterObject) {
    DynamicContext context = new DynamicContext(configuration, parameterObject);
    rootSqlNode.apply(context);
    SqlSourceBuilder sqlSourceParser = new SqlSourceBuilder(configuration);
    Class parameterType = parameterObject == null ? Object.class : parameterObject.getClass();
    SqlSource sqlSource = sqlSourceParser.parse(context.getSql(), parameterType, context.getBindings());
    BoundSql boundSql = sqlSource.getBoundSql(parameterObject);
    for (Map.Entry entry : context.getBindings().entrySet()) {
      boundSql.setAdditionalParameter(entry.getKey(), entry.getValue());
    }
    return boundSql;
  }

这里会使用入参组装成一个DynamicContext对象,然后使用SqlNode去解析它,由前面解析mapper.xm时可知,这里的rootSqlNode是MixedSqlNode实例。MixedSqlNode.apply如下

  @Override
  public boolean apply(DynamicContext context) {
    for (SqlNode sqlNode : contents) {
      sqlNode.apply(context);
    }
    return true;
  }

很简单,就是遍历子节点列表,分别解析。SqlNode有8个实现类,除了MixedSqlNode外,其它的对应7种子节点的类型。

这里解析完成后,就会去除等标签,得到一条只有#{}占位符的sql。接下来SqlSourceBuilder.parse就是使用入参替换#{}占位符,并返回StaticSqlSource。接着再使用StaticSqlSource构建BoundSql,并设置额外参数,然后返回。

再回到MappedStatement.getBoundSql,这里其实就是做些额外的处理,就跟着返回了。

 

回到BaseExecutor.query,得到boundSql后,再通过createCacheKey生成缓存的key,如下

@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 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;
  }

主要就是通过sql的id、分页的offset和limit、sql内容、入参、environment.id这几项来确定是不是相同的sql,然后生成一个缓存的key。

接着看query,如下

@SuppressWarnings("unchecked")
  @Override
  public  List 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 list;
    try {
      queryStack++;
      list = resultHandler == null ? (List) localCache.getObject(key) : null;
      if (list != null) {
        handleLocallyCachedOutputParameters(ms, key, parameter, boundSql);
      } else {
        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;
  }

首先,会判断是否清除缓存。接着,从缓存里取,如果有值,设置参数缓存,然后返回结果list。如果缓存没有的话,就去数据库查,queryFromDatabase如下

private  List queryFromDatabase(MappedStatement ms, Object parameter, RowBounds rowBounds, ResultHandler resultHandler, CacheKey key, BoundSql boundSql) throws SQLException {
    List list;
    localCache.putObject(key, EXECUTION_PLACEHOLDER);
    try {
      list = doQuery(ms, parameter, rowBounds, resultHandler, boundSql);
    } finally {
      localCache.removeObject(key);
    }
    localCache.putObject(key, list);
    if (ms.getStatementType() == StatementType.CALLABLE) {
      localOutputParameterCache.putObject(key, parameter);
    }
    return list;
  }

这里的doQuery就是真正交给BaseExecutor的实现类去实现的,来看SimpleExecutor.doQuery,如下

  @Override
  public  List doQuery(MappedStatement ms, Object parameter, RowBounds rowBounds, ResultHandler resultHandler, BoundSql boundSql) throws SQLException {
    Statement stmt = null;
    try {
      Configuration configuration = ms.getConfiguration();
      StatementHandler handler = configuration.newStatementHandler(wrapper, ms, parameter, rowBounds, resultHandler, boundSql);
      stmt = prepareStatement(handler, ms.getStatementLog());
      return handler.query(stmt, resultHandler);
    } finally {
      closeStatement(stmt);
    }
  }

好了,到这里,会继续交给StatementHandler去执行。StatementHandler有2个实现类,BaseStatementHandler和RoutingStatementHandler,而BaseStatementHandler又有3个实现类,分别是CallableStatementHandler、PreparedStatementHandler、SimpleStatementHandler。

看看configuration.newStatementHandler吧,如下

public StatementHandler newStatementHandler(Executor executor, MappedStatement mappedStatement, Object parameterObject, RowBounds rowBounds, ResultHandler resultHandler, BoundSql boundSql) {
    StatementHandler statementHandler = new RoutingStatementHandler(executor, mappedStatement, parameterObject, rowBounds, resultHandler, boundSql);
    statementHandler = (StatementHandler) interceptorChain.pluginAll(statementHandler);
    return statementHandler;
  }

这里返回RoutingStatementHandler,并且加入到拦截器链条。RoutingStatementHandler其实就是一个策略模式的实现,如下

ublic RoutingStatementHandler(Executor executor, MappedStatement ms, Object parameter, RowBounds rowBounds, ResultHandler resultHandler, BoundSql boundSql) {

    switch (ms.getStatementType()) {
      case STATEMENT:
        delegate = new SimpleStatementHandler(executor, ms, parameter, rowBounds, resultHandler, boundSql);
        break;
      case PREPARED:
        delegate = new PreparedStatementHandler(executor, ms, parameter, rowBounds, resultHandler, boundSql);
        break;
      case CALLABLE:
        delegate = new CallableStatementHandler(executor, ms, parameter, rowBounds, resultHandler, boundSql);
        break;
      default:
        throw new ExecutorException("Unknown statement type: " + ms.getStatementType());
    }

  }

再来看看prepareStatement,如下

  private Statement prepareStatement(StatementHandler handler, Log statementLog) throws SQLException {
    Statement stmt;
    Connection connection = getConnection(statementLog);
    stmt = handler.prepare(connection, transaction.getTimeout());
    handler.parameterize(stmt);
    return stmt;
  }

在这里开始获取数据库连接了,是通过SpringManagedTransaction获取的,这个后面再详细展开讲。

再看handler.prepare是如何获取Statement的,调用的是BaseStatementHandler.prepare,如下

  @Override
  public Statement prepare(Connection connection, Integer transactionTimeout) throws SQLException {
    ErrorContext.instance().sql(boundSql.getSql());
    Statement statement = null;
    try {
      statement = instantiateStatement(connection);
      setStatementTimeout(statement, transactionTimeout);
      setFetchSize(statement);
      return statement;
    } catch (SQLException e) {
      closeStatement(statement);
      throw e;
    } catch (Exception e) {
      closeStatement(statement);
      throw new ExecutorException("Error preparing statement.  Cause: " + e, e);
    }
  }

instantiateStatement(connection),看它的实现类PreparedStatementHandler.instantiateStatement(connection),如下

 @Override
  protected Statement instantiateStatement(Connection connection) throws SQLException {
    String sql = boundSql.getSql();
    if (mappedStatement.getKeyGenerator() instanceof Jdbc3KeyGenerator) {
      String[] keyColumnNames = mappedStatement.getKeyColumns();
      if (keyColumnNames == null) {
        return connection.prepareStatement(sql, PreparedStatement.RETURN_GENERATED_KEYS);
      } else {
        return connection.prepareStatement(sql, keyColumnNames);
      }
    } else if (mappedStatement.getResultSetType() != null) {
      return connection.prepareStatement(sql, mappedStatement.getResultSetType().getValue(), ResultSet.CONCUR_READ_ONLY);
    } else {
      return connection.prepareStatement(sql);
    }
  }

最终是调用JDBC的connection.prepareStatement方法绑定执行sql并得到Statement。

setStatementTimeout设置超时时间。setFetchSize设置拉取的大小。

再回来看handler.parameterize(stmt);主要是把入参绑定到Statement里,如下

  @Override
  public void parameterize(Statement statement) throws SQLException {
    parameterHandler.setParameters((PreparedStatement) statement);
  }

 在这里其实是交给ParameterHandler的唯一实现类DefaultParameterHandler来做绑定参数的工作,DefaultParameterHandler.setParameters方法如下

@Override
  public void setParameters(PreparedStatement ps) {
    ErrorContext.instance().activity("setting parameters").object(mappedStatement.getParameterMap().getId());
    List parameterMappings = boundSql.getParameterMappings();
    if (parameterMappings != null) {
      for (int i = 0; i < parameterMappings.size(); i++) {
        ParameterMapping parameterMapping = parameterMappings.get(i);
        if (parameterMapping.getMode() != ParameterMode.OUT) {
          Object value;
          String propertyName = parameterMapping.getProperty();
          if (boundSql.hasAdditionalParameter(propertyName)) { // issue #448 ask first for additional params
            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);
          }
          TypeHandler typeHandler = parameterMapping.getTypeHandler();
          JdbcType jdbcType = parameterMapping.getJdbcType();
          if (value == null && jdbcType == null) {
            jdbcType = configuration.getJdbcTypeForNull();
          }
          try {
            typeHandler.setParameter(ps, i + 1, value, jdbcType);
          } catch (TypeException e) {
            throw new TypeException("Could not set parameters for mapping: " + parameterMapping + ". Cause: " + e, e);
          } catch (SQLException e) {
            throw new TypeException("Could not set parameters for mapping: " + parameterMapping + ". Cause: " + e, e);
          }
        }
      }
    }
  }

在这里,通过boundSql获取到参数集合,然后循环集合,获取到TypeHandler,在通过对应的TypeHandler绑定入参。

 

回到SimpleExecutor.doQuery,看一下StatementHandler.query,看实现类PreparedStatementHandler.query,如下

  @Override
  public  List query(Statement statement, ResultHandler resultHandler) throws SQLException {
    PreparedStatement ps = (PreparedStatement) statement;
    ps.execute();
    return resultSetHandler. handleResultSets(ps);
  }

这里直接就执行了!!!然后由ResultHandler.handleResultSets处理执行结果,调用的是DefaultResultSetHandler,如下

@Override
  public List handleResultSets(Statement stmt) throws SQLException {
    ErrorContext.instance().activity("handling results").object(mappedStatement.getId());

    final List multipleResults = new ArrayList();

    int resultSetCount = 0;
    ResultSetWrapper rsw = getFirstResultSet(stmt);

    List resultMaps = mappedStatement.getResultMaps();
    int resultMapCount = resultMaps.size();
    validateResultMapsCount(rsw, resultMapCount);
    while (rsw != null && resultMapCount > resultSetCount) {
      ResultMap resultMap = resultMaps.get(resultSetCount);
      handleResultSet(rsw, resultMap, multipleResults, null);
      rsw = getNextResultSet(stmt);
      cleanUpAfterHandlingResultSet();
      resultSetCount++;
    }

    String[] resultSets = mappedStatement.getResultSets();
    if (resultSets != null) {
      while (rsw != null && resultSetCount < resultSets.length) {
        ResultMapping parentMapping = nextResultMaps.get(resultSets[resultSetCount]);
        if (parentMapping != null) {
          String nestedResultMapId = parentMapping.getNestedResultMapId();
          ResultMap resultMap = configuration.getResultMap(nestedResultMapId);
          handleResultSet(rsw, resultMap, null, parentMapping);
        }
        rsw = getNextResultSet(stmt);
        cleanUpAfterHandlingResultSet();
        resultSetCount++;
      }
    }

    return collapseSingleResultList(multipleResults);
  }

这里的复杂主要在于要处理多结果集,但我们一般使用都是只有一个ResultMap。首先从Statement取出第一个ResultSet包装成ResultSetWrapper,然后交给handleResultSet处理,处理完后再取下一个ResultSet,循环处理。看一下handleResultSet吧,它是处理单个ResultSetWrapper的,如下

  private void handleResultSet(ResultSetWrapper rsw, ResultMap resultMap, List multipleResults, ResultMapping parentMapping) throws SQLException {
    try {
      if (parentMapping != null) {
        handleRowValues(rsw, resultMap, null, RowBounds.DEFAULT, parentMapping);
      } else {
        if (resultHandler == null) {
          DefaultResultHandler defaultResultHandler = new DefaultResultHandler(objectFactory);
          handleRowValues(rsw, resultMap, defaultResultHandler, rowBounds, null);
          multipleResults.add(defaultResultHandler.getResultList());
        } else {
          handleRowValues(rsw, resultMap, resultHandler, rowBounds, null);
        }
      }
    } finally {
      // issue #228 (close resultsets)
      closeResultSet(rsw.getResultSet());
    }
  }

看第二if分支,这里如果没有自定义的ResultHandler则使用默认的DefaultResultHandler来处理。处理完成后将结果列表添加到multipleResults返回。下面看看handleRowValues,如下

  public void handleRowValues(ResultSetWrapper rsw, ResultMap resultMap, ResultHandler resultHandler, RowBounds rowBounds, ResultMapping parentMapping) throws SQLException {
    if (resultMap.hasNestedResultMaps()) {
      ensureNoRowBounds();
      checkResultHandler();
      handleRowValuesForNestedResultMap(rsw, resultMap, resultHandler, rowBounds, parentMapping);
    } else {
      handleRowValuesForSimpleResultMap(rsw, resultMap, resultHandler, rowBounds, parentMapping);
    }
  }
private void handleRowValuesForSimpleResultMap(ResultSetWrapper rsw, ResultMap resultMap, ResultHandler resultHandler, RowBounds rowBounds, ResultMapping parentMapping)
      throws SQLException {
    DefaultResultContext resultContext = new DefaultResultContext();
    skipRows(rsw.getResultSet(), rowBounds);
    while (shouldProcessMoreRows(resultContext, rowBounds) && rsw.getResultSet().next()) {
      ResultMap discriminatedResultMap = resolveDiscriminatedResultMap(rsw.getResultSet(), resultMap, null);
      Object rowValue = getRowValue(rsw, discriminatedResultMap);
      storeObject(resultHandler, resultContext, rowValue, parentMapping, rsw.getResultSet());
    }
  }

这里都是做一些映射,最后调用storeObject将映射结果保存,如下

  private void storeObject(ResultHandler resultHandler, DefaultResultContext resultContext, Object rowValue, ResultMapping parentMapping, ResultSet rs) throws SQLException {
    if (parentMapping != null) {
      linkToParents(rs, parentMapping, rowValue);
    } else {
      callResultHandler(resultHandler, resultContext, rowValue);
    }
  }

  @SuppressWarnings("unchecked" /* because ResultHandler is always ResultHandler*/)
  private void callResultHandler(ResultHandler resultHandler, DefaultResultContext resultContext, Object rowValue) {
    resultContext.nextResultObject(rowValue);
    ((ResultHandler)resultHandler).handleResult(resultContext);
  }

最后就调用DefaultResultHandler,添加到它的list里,如下

  private final List list;

  @SuppressWarnings("unchecked")
  public DefaultResultHandler(ObjectFactory objectFactory) {
    list = objectFactory.create(List.class);
  }

  @Override
  public void handleResult(ResultContext context) {
    list.add(context.getResultObject());
  }

好了,到这里就已经把查询结果解析并返回了。具体的解析过程就不展开讲了。

代码撸完了,其实还是有点蒙B的,下一篇重新梳理一下类图,看看整体的流程,然后再回头来看吧,这样会比较清晰点。源码的东西,不可能看一次就懂的,如果是,那你就是写框架的那个人了。赞!!!


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