1.maxIdle,maxActive,minIdle参数解读,引用官方,https://github.com/alibaba/druid/wiki/%E5%B8%B8%E8%A7%81%E9%97%AE%E9%A2%98
maxIdle是Druid为了方便DBCP用户迁移而增加的,maxIdle是一个混乱的概念。连接池只应该有maxPoolSize和minPoolSize,druid只保留了maxActive和minIdle,分别相当于maxPoolSize和minPoolSize。
2.testWhileIdle和testOnBorrow的作用都是一样的,都是去检查连接有效性,而testWhileIdle多了个闲置时间的判断,判断闲置时间是否大于timeBetweenEvictionRunsMillis,如果大于才会进行连接有效性的校验,这个参数是可配置的;两者都是在获取连接的时候去检查
public DruidPooledConnection getConnectionDirect(long maxWaitMillis) throws SQLException { int notFullTimeoutRetryCnt = 0; for (;;) { // handle notFullTimeoutRetry DruidPooledConnection poolableConnection; try { poolableConnection = getConnectionInternal(maxWaitMillis); } catch (GetConnectionTimeoutException ex) { if (notFullTimeoutRetryCnt <= this.notFullTimeoutRetryCount && !isFull()) { notFullTimeoutRetryCnt++; if (LOG.isWarnEnabled()) { LOG.warn("get connection timeout retry : " + notFullTimeoutRetryCnt); } continue; } throw ex; } if (testOnBorrow) { boolean validate = testConnectionInternal(poolableConnection.holder, poolableConnection.conn); if (!validate) { if (LOG.isDebugEnabled()) { LOG.debug("skip not validate connection."); } discardConnection(poolableConnection.holder); continue; } } else { if (poolableConnection.conn.isClosed()) { discardConnection(poolableConnection.holder); // 传入null,避免重复关闭 continue; } if (testWhileIdle) { final DruidConnectionHolder holder = poolableConnection.holder; long currentTimeMillis = System.currentTimeMillis(); long lastActiveTimeMillis = holder.lastActiveTimeMillis; long lastExecTimeMillis = holder.lastExecTimeMillis; long lastKeepTimeMillis = holder.lastKeepTimeMillis; if (checkExecuteTime && lastExecTimeMillis != lastActiveTimeMillis) { lastActiveTimeMillis = lastExecTimeMillis; } if (lastKeepTimeMillis > lastActiveTimeMillis) { lastActiveTimeMillis = lastKeepTimeMillis; } long idleMillis = currentTimeMillis - lastActiveTimeMillis; long timeBetweenEvictionRunsMillis = this.timeBetweenEvictionRunsMillis; if (timeBetweenEvictionRunsMillis <= 0) { timeBetweenEvictionRunsMillis = DEFAULT_TIME_BETWEEN_EVICTION_RUNS_MILLIS; } if (idleMillis >= timeBetweenEvictionRunsMillis || idleMillis < 0 // unexcepted branch ) { boolean validate = testConnectionInternal(poolableConnection.holder, poolableConnection.conn); if (!validate) { if (LOG.isDebugEnabled()) { LOG.debug("skip not validate connection."); } discardConnection(poolableConnection.holder); continue; } } } } if (removeAbandoned) { StackTraceElement[] stackTrace = Thread.currentThread().getStackTrace(); poolableConnection.connectStackTrace = stackTrace; poolableConnection.setConnectedTimeNano(); poolableConnection.traceEnable = true; activeConnectionLock.lock(); try { activeConnections.put(poolableConnection, PRESENT); } finally { activeConnectionLock.unlock(); } } if (!this.defaultAutoCommit) { poolableConnection.setAutoCommit(false); } return poolableConnection; } }
3.Druid的filter的调用也是在获取连接的时候进行调用
public DruidPooledConnection getConnection(long maxWaitMillis) throws SQLException { init(); if (filters.size() > 0) { FilterChainImpl filterChain = new FilterChainImpl(this); return filterChain.dataSource_connect(this, maxWaitMillis); } else { return getConnectionDirect(maxWaitMillis); } }