在阅读这篇文章以前,建议先阅读一下我以前写的两篇文章,对理解这篇文章颇有帮助,特别是Mybatis新手:git
mybatis底层原理学习(一):SqlSessionFactory和SqlSession的建立过程数据库
若是你想得到更好的阅读体验,能够点击这里:Mybatis底层原理学习(二):从源码角度分析一次查询操做过程缓存
(1)在使用Mybatis操做数据库的时候,每一次的CRUD操做都会去获取一次映射配置文件(mapper xml文件)对应的sql映射。每个sql映射在内存缓存中(建立SqlSessionFactory以前就缓存在内存中了)都会有惟一ID,就是sql映射所在xml文件的命名空间加上sql映射配置节点的id值。<br/> (2)Mapper xml文件的命名空间使用的是类的全路径名,这样作的好处是能够全局惟一,又能够经过反射获取对应的Mapper类。能够理解成每个mapper xml文件对应一个Mapper类。<br/>(3)mapper xml文件每个sql映射节点的id属性值对应类的一个方法。咱们在配置sql映射的时候也必须这样作,由于Mybatis的底层就是使用反射机制来获取执行方法的全路径做为ID来获取sql的映射配置的。<br/> (4)每个和mapper xml文件关联的类,都是Mapper类,在执行过程,经过动态代理,执行对应的方法。Mybatis是如何判断哪些类是Mapper类的呢?其实只有在运行时才会知道。在加载Mybatis配置文件中,经过解析mapper xml文件缓存了全部的sql映射配置,在调用SqlSession的getMapper方法获取Mapper类的时候才会生成代理类。微信
如今,咱们来从源码角度分析Mapper代理类的建立过程,demo源码在后面给出 demo示例:mybatis
public class Main { private static final Logger LOGGER = LoggerFactory.getLogger(Main.class); public static void main(String[] args) { SqlSession sqlSession = MyBatisUtil.getSqlSession(); ArticleMapper mapper = sqlSession.getMapper(ArticleMapper.class); Article article = mapper.selectOne(1); LOGGER.info("title:" + article.getTitle() + " " + "content:" + article.getContent()); } }
咱们在这行代码处搭上断点:app
ArticleMapper mapper = sqlSession.getMapper(ArticleMapper.class);
Debug进去,执行下面代码:源码分析
public <T> T getMapper(Class<T> type) { return configuration.<T>getMapper(type, this); }
configuration持有Mybatis的基本配置信息,继续看看getMapper方法的执行:学习
public <T> T getMapper(Class<T> type, SqlSession sqlSession) { return mapperRegistry.getMapper(type, sqlSession); }
mapperRegistry缓存了全部的SQL映射配置信息,在加载解析Mybatis配置文件(例子是mybatis)和mapper xml文件的时候完成缓存的,继续看getMapper的执行:ui
public <T> T getMapper(Class<T> type, SqlSession sqlSession) { // 这里首先会获取Mapper代理类工厂,拿到代理工厂就建立代理类 final MapperProxyFactory<T> mapperProxyFactory = (MapperProxyFactory<T>) knownMappers.get(type); if (mapperProxyFactory == null) { throw new BindingException("Type " + type + " is not known to the MapperRegistry."); } try { // 建立Mapper代理类 return mapperProxyFactory.newInstance(sqlSession); } catch (Exception e) { throw new BindingException("Error getting mapper instance. Cause: " + e, e); } }
经过动态代理机制建立Mapper代理类
protected T newInstance(MapperProxy<T> mapperProxy) { return (T) Proxy.newProxyInstance(mapperInterface.getClassLoader(), new Class[] { mapperInterface }, mapperProxy); }
到这里,动态代理类建立完成。 经过分析了源码执行过程,Mapper代理类的建立过程弄清楚了,大致就是经过从缓存中获取sql映射配置的id(类全路径名+方法名)来经过动态代理机制建立代理类,实际执行的CRUD是执行动态代理类的方法。 执行CRUD操做的时候,咱们都会执行到动态代理类的invoke方法:
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); }
最后找到映射的方法,执行mapperMethod.execute(sqlSession, args)
。 经过代码咱们能够看到,会根据执行方法的操做类型(CRUD)执行不一样的逻辑处理。
public Object execute(SqlSession sqlSession, Object[] args) { Object result; switch (command.getType()) { case INSERT: { Object param = method.convertArgsToSqlCommandParam(args); result = rowCountResult(sqlSession.insert(command.getName(), param)); break; } case UPDATE: { Object param = method.convertArgsToSqlCommandParam(args); result = rowCountResult(sqlSession.update(command.getName(), param)); break; } case DELETE: { Object param = method.convertArgsToSqlCommandParam(args); result = rowCountResult(sqlSession.delete(command.getName(), param)); break; } 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; case FLUSH: result = sqlSession.flushStatements(); break; default: throw new BindingException("Unknown execution method for: " + command.getName()); } if (result == null && method.getReturnType().isPrimitive() && !method.returnsVoid()) { throw new BindingException("Mapper method '" + command.getName() + " attempted to return null from a method with a primitive return type (" + method.getReturnType() + ")."); } return result; }
咱们分析一下查询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); }
首先根据方法返回类型的不一样执行不一样的逻辑,最终会调用SqlSession的selectXXX方法,
public <T> T selectOne(String statement, Object parameter) { // Popular vote was to return null on 0 results and throw exception on too many. List<T> list = this.<T>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; } }
List<T> list = this.<T>selectList(statement, parameter);
这行代码逻辑处理:
public <E> List<E> selectList(String statement, Object parameter) { return this.selectList(statement, parameter, RowBounds.DEFAULT); }
继续进去:
public <E> List<E> 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(); } }
到这一步,是调用执行器Executor的query方法:
public <E> List<E> query(MappedStatement ms, Object parameterObject, RowBounds rowBounds, ResultHandler resultHandler) throws SQLException { BoundSql boundSql = ms.getBoundSql(parameterObject); CacheKey key = createCacheKey(ms, parameterObject, rowBounds, boundSql); return query(ms, parameterObject, rowBounds, resultHandler, key, boundSql); }
进去query方法:
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); if (ms.isUseCache() && resultHandler == null) { ensureNoOutParams(ms, parameterObject, 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); }
继续进去query方法:
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++; list = resultHandler == null ? (List<E>) 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; }
真正访问数据库的是这行代码:list = queryFromDatabase(ms, parameter, rowBounds, resultHandler, key, boundSql);
private <E> List<E> queryFromDatabase(MappedStatement ms, Object parameter, RowBounds rowBounds, ResultHandler resultHandler, CacheKey key, BoundSql boundSql) throws SQLException { List<E> 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; }
查询操做由doQuery方法处理,这段代码就接近原生JDBC操做了,首先会获取语句处理器,而后开始执行语句,执行完,还会对结果进行结果集处理,返回处理的结果集,这里就很少分析了
public <E> List<E> 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.<E>query(stmt, resultHandler); } finally { closeStatement(stmt); } }
咱们在使用Mybatis进行CRUD操做的时候,大致过程是这样:
固然,这个过程Mybatis还作了不少事情,Sql的解析,结果集的处理……等操做咱们在这篇文章不分析,后面会有文章分析。这篇文章目的是分析Mapper代理类的建立过程和简单分析一个查询操做的过程。
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