日志可以工作，但并不是您想要的，但P6Spy可以完美地工作。

这里有一个简单的教程来实现以及。对我来说，这就像魅力。

下载P6Spy库:获取P6Spy -install.jar 解压:解压p6spy-install.jar文件，查找p6spy.jar和spy.properties 添加库依赖项:将p6spy.jar添加到项目库依赖项中 Modify P6Spy properties file:修改数据库配置文件。您需要用P6Spy JDBC驱动程序替换现有的JDBC驱动程序。

原来是MySQL JDBC驱动程序- (com.mysql.jdbc.Driver)

<session-factory>
  <property name="hibernate.bytecode.use_reflection_optimizer">false</property>
  <property name="hibernate.connection.driver_class">com.mysql.jdbc.Driver</property>  <!-- note the difference -->
  <property name="hibernate.connection.password">password</property>
  <property name="hibernate.connection.url">jdbc:mysql://localhost:3306/myuser</property>
  <property name="hibernate.connection.username">root</property>
  <property name="hibernate.dialect">org.hibernate.dialect.MySQLDialect</property>
  <property name="show_sql">true</property>
</session-factory>

更改为P6Spy JDBC驱动程序(com.p6spy.engine.spy.P6SpyDriver)

<session-factory>
  <property name="hibernate.bytecode.use_reflection_optimizer">false</property>
  <property name="hibernate.connection.driver_class">com.p6spy.engine.spy.P6SpyDriver</property>  <!-- note the difference -->
  <property name="hibernate.connection.password">password</property>
  <property name="hibernate.connection.url">jdbc:mysql://localhost:3306/myuser</property>
  <property name="hibernate.connection.username">root</property>
  <property name="hibernate.dialect">org.hibernate.dialect.MySQLDialect</property>
  <property name="show_sql">true</property>
</session-factory>

修改P6Spy属性文件:spy.properties

用现有的MySQL JDBC驱动程序替换realdriver

realdriver=com.mysql.jdbc.Driver

# specifies another driver to use
realdriver2=
# specifies a third driver to use
realdriver3=

在logfile属性中更改日志文件的位置。所有SQL语句都将被记录到这个文件中。

窗口:

logfile=c:/spy.log

UNIX:

logfile=/srv/log/spy.log

复制的间谍。属性到项目类路径:复制间谍。属性添加到项目根文件夹。确保你的项目可以定位间谍。财产，否则就是间谍。属性文件未找到异常将被抛出。

您需要配置如下:

# Hibernate logging options (INFO only shows startup messages)
log4j.logger.org.hibernate=INFO

# Log JDBC bind parameter runtime arguments
log4j.logger.org.hibernate.type=trace

使用YAML属性:

logging.level.org.hibernate:
    SQL: DEBUG
    type.descriptor.sql.BasicBinder: TRACE

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。

为了方便起见，下面是Logback (SLF4J)的相同配置示例

<appender name="SQLROLLINGFILE">
 <File>/tmp/sql.log</File>
 <rollingPolicy>
  <FileNamePattern>logFile.%d{yyyy-MM-dd}.log</FileNamePattern>
 </rollingPolicy>
 <layout>
  <Pattern>%-4date | %msg %n</Pattern>
 </layout>
</appender>

<logger name="org.hibernate.SQL" additivity="false" >   
 <level value="DEBUG" />    
 <appender-ref ref="SQLROLLINGFILE" />
</logger>

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

sql.log(示例)中的输出如下所示:

2013-08-30 18:01:15,083 | update stepprovider set created_at=?, lastupdated_at=?, version=?, bundlelocation=?, category_id=?, customer_id=?, description=?, icon_file_id=?, name=?, shareStatus=?, spversion=?, status=?, title=?, type=?, num_used=? where id=?
2013-08-30 18:01:15,084 | binding parameter [1] as [TIMESTAMP] - 2012-07-11 09:57:32.0
2013-08-30 18:01:15,085 | binding parameter [2] as [TIMESTAMP] - Fri Aug 30 18:01:15 CEST 2013
2013-08-30 18:01:15,086 | binding parameter [3] as [INTEGER] -
2013-08-30 18:01:15,086 | binding parameter [4] as [VARCHAR] - com.mypackage.foo
2013-08-30 18:01:15,087 | binding parameter [5] as [VARCHAR] -
2013-08-30 18:01:15,087 | binding parameter [6] as [VARCHAR] -
2013-08-30 18:01:15,087 | binding parameter [7] as [VARCHAR] - TODO
2013-08-30 18:01:15,087 | binding parameter [8] as [VARCHAR] -
2013-08-30 18:01:15,088 | binding parameter [9] as [VARCHAR] - MatchingStep@com.mypackage.foo
2013-08-30 18:01:15,088 | binding parameter [10] as [VARCHAR] - PRIVATE
2013-08-30 18:01:15,088 | binding parameter [11] as [VARCHAR] - 1.0
2013-08-30 18:01:15,088 | binding parameter [12] as [VARCHAR] - 32
2013-08-30 18:01:15,088 | binding parameter [13] as [VARCHAR] - MatchingStep
2013-08-30 18:01:15,089 | binding parameter [14] as [VARCHAR] -
2013-08-30 18:01:15,089 | binding parameter [15] as [INTEGER] - 0
2013-08-30 18:01:15,089 | binding parameter [16] as [VARCHAR] - 053c2e65-5d51-4c09-85f3-2281a1024f64

<!-- 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>