使用Wireshark或类似的工具:

上面提到的答案都不会正确地打印带参数的SQL，或者让它与它们一起工作是一件痛苦的事情。我通过使用WireShark实现了这一点，它可以捕获从应用程序发送到Oracle/MySQL等的所有SQL/命令。

正如我在这篇文章中所描述的，您可以使用数据源-代理来实现。

假设你的应用程序需要一个dataSource bean(例如通过@Resource)，你可以这样配置dataSource -proxy:

<bean id="actualDataSource" class="bitronix.tm.resource.jdbc.PoolingDataSource" init-method="init"
  destroy-method="close">
    <property name="className" value="bitronix.tm.resource.jdbc.lrc.LrcXADataSource"/>
    <property name="uniqueName" value="actualDataSource"/>
    <property name="minPoolSize" value="0"/>
    <property name="maxPoolSize" value="5"/>
    <property name="allowLocalTransactions" value="false" />
    <property name="driverProperties">
        <props>
            <prop key="user">${jdbc.username}</prop>
            <prop key="password">${jdbc.password}</prop>
            <prop key="url">${jdbc.url}</prop>
            <prop key="driverClassName">${jdbc.driverClassName}</prop>
        </props>
    </property>
</bean>

<bean id="proxyDataSource" class="net.ttddyy.dsproxy.support.ProxyDataSource">
    <property name="dataSource" ref="testDataSource"/>
    <property name="listener">
        <bean class="net.ttddyy.dsproxy.listener.ChainListener">
            <property name="listeners">
                <list>
                    <bean class="net.ttddyy.dsproxy.listener.CommonsQueryLoggingListener">
                        <property name="logLevel" value="INFO"/>
                    </bean>
                    <bean class="net.ttddyy.dsproxy.listener.DataSourceQueryCountListener"/>
                </list>
            </property>
        </bean>
    </property>
</bean>

<alias name="proxyDataSource" alias="dataSource"/>

现在Hibernate输出vs.数据源-代理:

INFO  [main]: n.t.d.l.CommonsQueryLoggingListener - Name:, Time:1, Num:1, Query:{[select company0_.id as id1_6_, company0_.name as name2_6_ from Company company0_][]}
INFO  [main]: n.t.d.l.CommonsQueryLoggingListener - Name:, Time:0, Num:1, Query:{[insert into WarehouseProductInfo (id, quantity) values (default, ?)][19]}
INFO  [main]: n.t.d.l.CommonsQueryLoggingListener - Name:, Time:0, Num:1, Query:{[insert into Product (id, code, company_id, importer_id, name, version) values (default, ?, ?, ?, ?, ?)][phoneCode,1,-5,Phone,0]}

数据源-代理查询包含参数值，您甚至可以添加自定义JDBC语句拦截器，以便从集成测试中捕获N+1个查询问题。

Log4Jdbc插件最适合您的需求。它显示如下-

1. Complete SQL query being hit to the db
2. Parameter values being passed to the query
3. Execution time taken by each query

参考下面的链接来配置Log4Jdbc-

https://code.google.com/p/log4jdbc/

<appender name="console" class="org.apache.log4j.ConsoleAppender">
    <layout class="org.apache.log4j.PatternLayout">
    <param name="ConversionPattern" 
      value="%d{yyyy-MM-dd HH:mm:ss} %-5p %c{1}:%L - %m%n" />
    </layout>
</appender>

<logger name="org.hibernate" additivity="false">
    <level value="INFO" />
    <appender-ref ref="console" />
</logger>

<logger name="org.hibernate.type" additivity="false">
    <level value="TRACE" />
    <appender-ref ref="console" />
</logger>

解决方案是正确的，但也记录结果对象的所有绑定。为了防止这种情况，可以创建一个单独的追加器并启用过滤。例如:

<!-- A time/date based rolling appender -->
<appender name="FILE_HIBERNATE" class="org.jboss.logging.appender.DailyRollingFileAppender">
    <errorHandler class="org.jboss.logging.util.OnlyOnceErrorHandler"/>
    <param name="File" value="${jboss.server.log.dir}/hiber.log"/>
    <param name="Append" value="false"/>
    <param name="Threshold" value="TRACE"/>
    <!-- Rollover at midnight each day -->
    <param name="DatePattern" value="'.'yyyy-MM-dd"/>

    <layout class="org.apache.log4j.PatternLayout">
        <!-- The default pattern: Date Priority [Category] Message\n -->
        <param name="ConversionPattern" value="%d %-5p [%c] %m%n"/>
    </layout>
  
    <filter class="org.apache.log4j.varia.StringMatchFilter">
        <param name="StringToMatch" value="bind" />
        <param name="AcceptOnMatch" value="true" />
    </filter>
    <filter class="org.apache.log4j.varia.StringMatchFilter">
        <param name="StringToMatch" value="select" />
        <param name="AcceptOnMatch" value="true" />
    </filter>  
    <filter class="org.apache.log4j.varia.DenyAllFilter"/>
</appender> 

<category name="org.hibernate.type">
  <priority value="TRACE"/>
</category>

<logger name="org.hibernate.type">
   <level value="TRACE"/> 
   <appender-ref ref="FILE_HIBERNATE"/>
</logger>

<logger name="org.hibernate.SQL">
   <level value="TRACE"/> 
   <appender-ref ref="FILE_HIBERNATE"/>
</logger>

<!-- A time/date based rolling appender -->
<appender name="FILE" class="org.apache.log4j.RollingFileAppender">
    <param name="File" value="logs/system.log" />
    <param name="Append" value="true" />
    <param name="ImmediateFlush" value="true" />
    <param name="MaxFileSize" value="200MB" />
    <param name="MaxBackupIndex" value="100" />

    <layout class="org.apache.log4j.PatternLayout">
        <param name="ConversionPattern" value="%d %d{Z} [%t] %-5p (%F:%L) - %m%n" />
    </layout>
</appender>

<appender name="journaldev-hibernate" class="org.apache.log4j.RollingFileAppender">
    <param name="File" value="logs/project.log" />
    <param name="Append" value="true" />
    <param name="ImmediateFlush" value="true" />
    <param name="MaxFileSize" value="200MB" />
    <param name="MaxBackupIndex" value="50" />

    <layout class="org.apache.log4j.PatternLayout">
        <param name="ConversionPattern" value="%d %d{Z} [%t] %-5p (%F:%L) - %m%n" />
    </layout>
</appender>

<logger name="com.journaldev.hibernate" additivity="false">
    <level value="DEBUG" />
    <appender-ref ref="journaldev-hibernate" />
</logger>

<logger name="org.hibernate" additivity="false">
    <level value="INFO" />
    <appender-ref ref="FILE" />
</logger>

<logger name="org.hibernate.type" additivity="false">
    <level value="TRACE" />
    <appender-ref ref="FILE" />
</logger>

<root>
    <priority value="INFO"></priority>
    <appender-ref ref="FILE" />
</root>