(1)首先是如何构建sqlSessionFactory的?
public SqlSessionFactory build(InputStream inputStream, String environment, Properties properties) {
try {
//构建一个configuration
XMLConfigBuilder parser = new XMLConfigBuilder(inputStream, environment, properties);
//返回一个DefaultSqlSessionFactory
return build(parser.parse());
} catch (Exception e) {
throw ExceptionFactory.wrapException("Error building SqlSession.", e);
} finally {
ErrorContext.instance().reset();
try {
inputStream.close();
} catch (IOException e) {
// Intentionally ignore. Prefer previous error.
}
}
}
public SqlSessionFactory build(Configuration config) {
return new DefaultSqlSessionFactory(config);
}
(2)获取sqlSession对象
//最终是进入了这个方法之中的
private SqlSession openSessionFromDataSource(ExecutorType execType, TransactionIsolationLevel level, boolean autoCommit) {
//事务先不管
Transaction tx = null;
try {
//得到mybatisConfig.xml中的environment
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();
}
}
public class DefaultSqlSession implements SqlSession {
//configuration核心
private final Configuration configuration;
//真正执行sql的类
private final Executor executor;
}
(3)通过sqlSession的getMapper(Class)获得Mapper的代理对象。
@Override
public <T> T getMapper(Class<T> type) {
//交给configuration去做(委派模式)
return configuration.<T>getMapper(type, this);
}
//交给mapperRegistry去做
public boolean hasMapper(Class<?> type) {
return mapperRegistry.hasMapper(type);
}
@SuppressWarnings("unchecked")
public <T> T getMapper(Class<T> type, SqlSession sqlSession) {
//knownMappers是一个map,里面装的是:以class为key,factory为value
final MapperProxyFactory<T> mapperProxyFactory = (MapperProxyFactory<T>) knownMappers.get(type);
if (mapperProxyFactory == null) {
throw new BindingException("Type " + type + " is not known to the MapperRegistry.");
}
try {
//关键代码:创建mapper的代理类
return mapperProxyFactory.newInstance(sqlSession);
} catch (Exception e) {
throw new BindingException("Error getting mapper instance. Cause: " + e, e);
}
}
@SuppressWarnings("unchecked")
protected T newInstance(MapperProxy<T> mapperProxy) {
//生成代理子类
return (T) Proxy.newProxyInstance(mapperInterface.getClassLoader(), new Class[] { mapperInterface }, mapperProxy);
}
public T newInstance(SqlSession sqlSession) {
final MapperProxy<T> mapperProxy = new MapperProxy<T>(sqlSession, mapperInterface, methodCache);
return newInstance(mapperProxy);
}
(4)获得了mapperProxy对象了,如何调用mapper的方法
//显然,获得是mapperProxy对象,那么就会调用invoke方法。
public Object invoke(Object proxy, Method method, Object[] args) throws Throwable {
try {
//其实不会走到这里
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);
}
//从缓存当中取出MapperMethod
//存放了接口当前的方法,属于哪种类型,返回类型属于哪种
final MapperMethod mapperMethod = cachedMapperMethod(method);
//关键点开始了
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;
}
public Object execute(SqlSession sqlSession, Object[] args) {
Object result;
//判断是增删改查的哪一种
if (SqlCommandType.INSERT == command.getType()) {
Object param = method.convertArgsToSqlCommandParam(args);
result = rowCountResult(sqlSession.insert(command.getName(), param));
} else if (SqlCommandType.UPDATE == command.getType()) {
Object param = method.convertArgsToSqlCommandParam(args);
result = rowCountResult(sqlSession.update(command.getName(), param));
} else if (SqlCommandType.DELETE == command.getType()) {
Object param = method.convertArgsToSqlCommandParam(args);
result = rowCountResult(sqlSession.delete(command.getName(), param));
} else if (SqlCommandType.SELECT == command.getType()) {
//判断select语句的返回类型:就先看个最简单的,selectOne
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 {
Object param = method.convertArgsToSqlCommandParam(args);
//关键地方:继续进入
result = sqlSession.selectOne(command.getName(), param);
}
} else {
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;
}
//最终是进入了这个selectList里面,然后通过get(0)来作为selectOne
public <E> List<E> selectList(String statement, Object parameter, RowBounds rowBounds) {
try {
MappedStatement ms = configuration.getMappedStatement(statement);
//又在此利用executor去作为真正的数据库操作
List<E> result = executor.query(ms, wrapCollection(parameter), rowBounds, Executor.NO_RESULT_HANDLER);
return result;
} catch (Exception e) {
throw ExceptionFactory.wrapException("Error querying database. Cause: " + e, e);
} finally {
ErrorContext.instance().reset();
}
}
//最后是进入这里
public <E> List<E> query(MappedStatement ms, Object parameterObject, RowBounds rowBounds, ResultHandler resultHandler, CacheKey key, BoundSql boundSql)
throws SQLException {
//二级缓存
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. Query must be not synchronized to prevent deadlocks
}
return list;
}
}
//没有二级缓存时,是进入这里
return delegate.<E> query(ms, parameterObject, rowBounds, resultHandler, key, boundSql);
}
//这里开始就是重点了
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++;
//这里是一个缓存,一级缓存也就是sqlSession的缓存,满足的条件是:sql语句必须一模一样,参数也必须一样,
//localcache是一个hashMap,是以sql和参数作为key
list = resultHandler == null ? (List<E>) localCache.getObject(key) : null;
if (list != null) {
handleLocallyCachedOutputParameters(ms, key, parameter, boundSql);
} else {
//首次查询就是进入这里
list = queryFromDatabase(ms, parameter, rowBounds, resultHandler, key, boundSql);
}
} finally {
queryStack--;
}
if (queryStack == 0) {
for (DeferredLoad deferredLoad : deferredLoads) {
deferredLoad.load();
}
deferredLoads.clear(); // issue #601
if (configuration.getLocalCacheScope() == LocalCacheScope.STATEMENT) {
clearLocalCache(); // issue #482
}
}
return list;
}
private <E> List<E> queryFromDatabase(MappedStatement ms, Object parameter, RowBounds rowBounds, ResultHandler resultHandler, CacheKey key, BoundSql boundSql) throws SQLException {
List<E> list;
//这里有一个非常重要的思想,我想了很久都不知道为什么需要先put一次常量进入缓存,在查询之后又删除缓存的常量,又放入真正的缓存
//这是为什么喃?
//其实就是一个缓存击穿的一种解决思路
/**
* 假设一种场景,1000个线程同时使用一个sqlSession,那么假设并发访问一个sql,那么这样大量的线程就会进行数据库访问
* 数据库效率就会低下甚至是崩溃
* 这样的做法非常值得借鉴,不管有没有缓存,先放一个假的缓存进去,那么这样能够阻挡其他大部分的相同访问,然后再放入真正的缓存
* 顺带跳过一下,再仔细研究一下mybatis是如何看待缓存和数据库一致的问题喃?
* public void clearLocalCache() {
if (!closed) {
localCache.clear();
localOutputParameterCache.clear();
}
}
* 就是清空了缓存(二级缓存也是清空了的,但是没放出来),这样的思想也行,但是容易产生缓存过时的问题
* (删了缓存,还在写的时候,另外的线程访问了,写入了过时的缓存)
* 这个地方就可以采取双删策略
*/
localCache.putObject(key, EXECUTION_PLACEHOLDER);
try {
list = doQuery(ms, parameter, rowBounds, resultHandler, boundSql);
} finally {
localCache.removeObject(key);
}
//真正的缓存
localCache.putObject(key, list);
if (ms.getStatementType() == StatementType.CALLABLE) {
localOutputParameterCache.putObject(key, parameter);
}
return list;
}