在使用Wildfly (standalone.xml)进行开发时，添加以下记录器:

<logger category="org.hibernate.SQL">
   <level name="DEBUG"/>
</logger>
<logger category="org.hibernate.type.descriptor.sql">
   <level name="TRACE"/>
</logger>

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

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>

将以下内容添加到log4j或logback配置中:

org.hibernate.sql=DEBUG
org.hibernate.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。

如果您使用Spring Boot 3和/或Hibernate 6，以下配置将显示参数值:

# basic log level for all messages
logging.level.org.hibernate=info
# SQL statements and parameters
logging.level.org.hibernate.SQL=debug
logging.level.org.hibernate.orm.jdbc.bind=trace
# Statistics and slow queries
logging.level.org.hibernate.stat=debug
logging.level.org.hibernate.SQL_SLOW=info
# 2nd Level Cache
logging.level.org.hibernate.cache=debug