<!-- 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>

如果您正在使用spring-boot，您可以使用log4jdbc-spring-boot-starter依赖项，它是org.bgee的一个分支。log4jdbc-log4j2。

在pom.xml中，我使用了以下依赖项:

   <dependency>
        <groupId>com.integralblue</groupId>
        <artifactId>log4jdbc-spring-boot-starter</artifactId>
        <version>2.0.0</version>
    </dependency>

在文档中提到，如果只包含这个依赖项，SQL日志记录将不起作用，我们必须在application.properties中指定以下属性

logging.level.jdbc.sqlonly=INFO

但随着

2.0.0版本，所有日志属性默认设置为info。在撰写本文时，2.0.0的使用计数比1.0.2要少

因此，在2.0.0中，即使您不指定任何用于记录sql的属性，下面的属性也是默认设置的

logging.level.jdbc.sqlonly=INFO
logging.level.jdbc.resultset=INFO
logging.level.jdbc.connection=INFO
logging.level.jdbc.resultsettable=INFO
logging.level.jdbc.audit=INFO
logging.level.jdbc.sqltiming=INFO

如果你只想打印SQL查询?替换为实际值，避免不必要的日志从结果集这些属性显式到

logging.level.jdbc.sqlonly=INFO
logging.level.jdbc.resultset=OFF
logging.level.jdbc.connection=OFF
logging.level.jdbc.resultsettable=OFF
logging.level.jdbc.audit=OFF
logging.level.jdbc.sqltiming=OFF

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。

如果你正在使用Spring Boot，只需配置如下:

application.yml

logging:
  level:
    org.hibernate.SQL: DEBUG
    org.hibernate.type: TRACE

application.properties

logging.level.org.hibernate.SQL=DEBUG
logging.level.org.hibernate.type=TRACE

仅此而已。

你的日志会是这样的:

2020-12-07 | DEBUG | o.h.SQL:127 - insert into Employee (id, name, title, id) values (?, ?, ?, ?)
2020-12-07 | TRACE | o.h.t.d.s.BasicBinder:64 - binding parameter [1] as [VARCHAR] - [001]
2020-12-07 | TRACE | o.h.t.d.s.BasicBinder:64 - binding parameter [2] as [VARCHAR] - [John Smith]
2020-12-07 | TRACE | o.h.t.d.s.BasicBinder:52 - binding parameter [3] as [VARCHAR] - [null]
2020-12-07 | TRACE | o.h.t.d.s.BasicBinder:64 - binding parameter [4] as [BIGINT] - [1]

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

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/