//SqlSession 最外层接口
void select(String statement, Object parameter, ResultHandler handler);
//DefaultSqlSession. 将查询交给Executor来执行
public void select(String statement, Object parameter, RowBounds rowBounds, ResultHandler handler) {
try {
// Configuration包含了Mybatis所有的配置。在tomcat启动的时候就加载了配置。每一个Mapping都会加载成一个MappedStatement。包含了增删改查的方法。
// 每一个sql执行都需要一个MappingStatement。
MappedStatement ms = configuration.getMappedStatement(statement);
executor.query(ms, wrapCollection(parameter), rowBounds, handler);
} catch (Exception e) {
throw ExceptionFactory.wrapException("Error querying database. Cause: " + e, e);
} finally {
ErrorContext.instance().reset();
}
}
// BaseExecutor 提供Executor中的基础方法。
@Override
public <E> List<E> query(MappedStatement ms, Object parameter, RowBounds rowBounds, ResultHandler resultHandler) throws SQLException {
BoundSql boundSql = ms.getBoundSql(parameter);
// CacheKey 由 MappedStatement，查询的SQL语句BoundSql，语句中的param共同构成。
CacheKey key = createCacheKey(ms, parameter, rowBounds, boundSql);
return query(ms, parameter, rowBounds, resultHandler, key, boundSql);
}
@SuppressWarnings("unchecked")
@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++;
//先查询缓存。LocalCache其实就是一个map。
list = resultHandler == null ? (List<E>) localCache.getObject(key) : null;
if (list != null) {
handleLocallyCachedOutputParameters(ms, key, parameter, boundSql);
} else {
//从数据库查
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;
}
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 {
// 具体的doQuery方法交给子类SimpleExecutor, CachingExecutor,ReuseExecutor等来具体实现。勾子方法
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;
}
// SimpleExecutor
@Override
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是具体构造sql语句，解析查询结果的类。
StatementHandler handler = configuration.newStatementHandler(wrapper, ms, parameter, rowBounds, resultHandler, boundSql);
stmt = prepareStatement(handler, ms.getStatementLog());
return handler.<E>query(stmt, resultHandler);
} finally {
closeStatement(stmt);
}
}
private Statement prepareStatement(StatementHandler handler, Log statementLog) throws SQLException {
Statement stmt;
Connection connection = getConnection(statementLog);
stmt = handler.prepare(connection, transaction.getTimeout());
// 构造查询参数。statement.setParameter();
handler.parameterize(stmt);
return stmt;
}
//PreparedStatementHandler
@Override
public <E> List<E> query(Statement statement, ResultHandler resultHandler) throws SQLException {
PreparedStatement ps = (PreparedStatement) statement;
ps.execute();
return resultSetHandler.<E> handleResultSets(ps);
}
// ResultHandler
@Override
public List<Object> handleResultSets(Statement stmt) throws SQLException {
ErrorContext.instance().activity("handling results").object(mappedStatement.getId());
final List<Object> multipleResults = new ArrayList<Object>();
int resultSetCount = 0;
ResultSetWrapper rsw = getFirstResultSet(stmt);
List<ResultMap> 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);
}
https://www.cnblogs.com/ljdblog/p/7123430.html
// SqlSession session = new SqlSessionFactoryBuilder().build(reader).openSession();
（1）获取前面我们加载配置文件的环境信息，并且获取环境信息中配置的数据源。
（2）通过数据源获取一个连接，对连接进行包装代理（通过JDK的代理来实现日志功能）。
（3）设置连接的事务信息（是否自动提交、事务级别），从配置环境中获取事务工厂，事务工厂获取一个新的事务。
（4）传入事务对象获取一个新的执行器，并传入执行器、配置信息等获取一个执行会话对象。
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();
}
}
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;
}
CacheKey设计
private void doUpdate(Object object) {
int baseHashCode = object == null ? 1 : object.hashCode();
count++;
checksum += baseHashCode;
baseHashCode *= count;
hashcode = multiplier * hashcode + baseHashCode;
updateList.add(object);
}
public boolean equals(Object object) {
if (this == object) {
return true;
}
if (!(object instanceof CacheKey)) {
return false;
}
final CacheKey cacheKey = (CacheKey) object;
if (hashcode != cacheKey.hashcode) {
return false;
}
if (checksum != cacheKey.checksum) {
return false;
}
if (count != cacheKey.count) {
return false;
}
for (int i = 0; i < updateList.size(); i++) {
Object thisObject = updateList.get(i);
Object thatObject = cacheKey.updateList.get(i);
if (thisObject == null) {
if (thatObject != null) {
return false;
}
} else {
if (!thisObject.equals(thatObject)) {
return false;
}
}
}
return true;
}
Mybatis 一级缓存只是简单的使用了HashMap。会不会导致Map太大？
a. 一般而言SqlSession的生存时间很短。一般情况下使用一个SqlSession对象执行的操作不会太多，执行完就会消亡；
b. 对于某一个SqlSession对象而言，只要执行update操作（update、insert、delete），都会将这个SqlSession对象中对应的一级缓存清空掉，所以一般情况下不会出现缓存过大，影响JVM内存空间的问题；
c. 可以手动地释放掉SqlSession对象中的缓存。
一级缓存： session级别的缓存。每个sqlSession中，有一个LocalCache，存一个map。在查询之前，先根据查询条件生成CacheKey，cacheKey包括mappingId，BoundSql语句，以及查询参数。查询的时候先在LocalCache中取数据，没取到时再到DB中查询。mybatis结合spring时，在没有事务的方法中，一级缓存失效，因为每次mapping查询用的都不是同一个sqlSession。
查询 二级缓存-> 一级缓存 -> DB
当开一个会话时，一个SqlSession对象会使用一个Executor对象来完成会话操作，MyBatis的二级缓存机制的关键就是对这个Executor对象做文章。如果用户配置了"cacheEnabled=true"，那么MyBatis在为SqlSession对象创建Executor对象时，会对Executor对象加上一个装饰者：CachingExecutor，这时SqlSession使用CachingExecutor对象来完成操作请求。CachingExecutor对于查询请求，会先判断该查询请求在Application级别的二级缓存中是否有缓存结果，如果有查询结果，则直接返回缓存结果；如果缓存中没有，再交给真正的Executor对象来完成查询操作，之后CachingExecutor会将真正Executor返回的查询结果放置到缓存中，然后在返回给用户。
<select id="selectByMinSalary" resultMap="BaseResultMap" parameterType="java.util.Map" useCache="true">
-
MyBatis支持二级缓存的总开关：全局配置变量参数 cacheEnabled=true
-
该select语句所在的Mapper，配置了<cache> 或<cached-ref>节点，并且有效
-
该select语句的参数 useCache=true
Mybatis二级缓存
MyBatis并不是简单地对整个Application就只有一个Cache缓存对象，它将缓存划分的更细，即是Mapper级别的，即每一个Mapper都可以拥有一个Cache对象，具体如下：
a.为每一个Mapper分配一个Cache缓存对象（使用<cache>节点配置）；
b.多个Mapper共用一个Cache缓存对象（使用<cache-ref>节点配置）；
查询流程 CachingExecutor(装饰者Decorator) -> Executor -> PerpetualCache(HashMap) ->DB
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