Log4JDBC是一种很好的解决方案，它打印带有适当参数的精确SQL到数据库，而不是这里最流行的答案，它不这样做。这样做的一个主要便利之处在于，您可以直接将SQL复制到您的DB前端并原样执行它。

http://log4jdbc.sourceforge.net/ https://code.google.com/p/log4jdbc-remix/

后者还输出查询结果的表格表示。

示例输出显示生成的SQL与参数一起到位的结果集表从查询:

5. insert into ENQUIRY_APPLICANT_DETAILS (ID, INCLUDED_IN_QUOTE, APPLICANT_ID, TERRITORY_ID, ENQUIRY_ID, ELIGIBLE_FOR_COVER) values (7, 1, 11, 1, 2, 0) 

10 Oct 2013 16:21:22 4953 [main] INFO  jdbc.resultsettable  - |---|--------|--------|-----------|----------|---------|-------|
10 Oct 2013 16:21:22 4953 [main] INFO  jdbc.resultsettable  - |ID |CREATED |DELETED |CODESET_ID |NAME      |POSITION |PREFIX |
10 Oct 2013 16:21:22 4953 [main] INFO  jdbc.resultsettable  - |---|--------|--------|-----------|----------|---------|-------|
10 Oct 2013 16:21:22 4953 [main] INFO  jdbc.resultsettable  - |2  |null    |null    |1          |Country 2 |1        |60     |
10 Oct 2013 16:21:22 4953 [main] INFO  jdbc.resultsettable  - |---|--------|--------|-----------|----------|---------|-------|

更新2016

最近我一直在使用log4jdbc-log4j2 (https://code.google.com/archive/p/log4jdbc-log4j2/)和SLF4j和logback。我的设置所需的Maven依赖项如下:

<dependency>
    <groupId>org.bgee.log4jdbc-log4j2</groupId>
    <artifactId>log4jdbc-log4j2-jdbc4.1</artifactId>
    <version>1.16</version>
</dependency>
<dependency>
    <groupId>org.slf4j</groupId>
    <artifactId>slf4j-api</artifactId>
    <version>${slf4j.version}</version>
</dependency>
<dependency>
    <groupId>ch.qos.logback</groupId>
    <artifactId>logback-core</artifactId>
    <version>${logback.version}</version>
</dependency>
<dependency>
    <groupId>ch.qos.logback</groupId>
    <artifactId>logback-classic</artifactId>
    <version>$logback.version}</version>
</dependency>

驱动程序和DB url如下所示:

database.driver.class=net.sf.log4jdbc.sql.jdbcapi.DriverSpy
database.url=jdbc:log4jdbc:hsqldb:mem:db_name #Hsql
#database.url=jdbc:log4jdbc:mysql://localhost:3306/db_name 

我的logback.xml配置文件如下所示:输出所有带有参数的SQL语句以及所有查询的结果集表。

<?xml version="1.0" encoding="UTF-8"?>
<configuration>

    <appender name="STDOUT" class="ch.qos.logback.core.ConsoleAppender">
        <encoder>
            <pattern>%d{HH:mm:ss.SSS} [%thread] %-5level %logger{36} - %msg%n
            </pattern>
        </encoder>
    </appender>

    <logger name="jdbc.audit" level="ERROR" />
    <logger name="jdbc.connection" level="ERROR" />
    <logger name="jdbc.sqltiming" level="ERROR" />
    <logger name="jdbc.resultset" level="ERROR" />
    
    <!-- UNCOMMENT THE BELOW TO HIDE THE RESULT SET TABLE OUTPUT -->
    <!--<logger name="jdbc.resultsettable" level="ERROR" /> -->

    <root level="debug">
        <appender-ref ref="STDOUT" />
    </root>
</configuration>

最后，我必须创建一个名为log4jdbc.log4j2的文件。例如，Maven项目中的src/test/resources或src/main/resources。这个文件只有一行:

log4jdbc.spylogdelegator.name=net.sf.log4jdbc.log.slf4j.Slf4jSpyLogDelegator

以上将取决于您的日志库。更多信息请参见https://code.google.com/archive/p/log4jdbc-log4j2上的文档。

样例输出:

10:44:29.400 [main] DEBUG jdbc.sqlonly -  org.hibernate.engine.jdbc.internal.ResultSetReturnImpl.extract(ResultSetReturnImpl.java:70)
5. select memberrole0_.member_id as member_i2_12_0_, memberrole0_.id as id1_12_0_, memberrole0_.id 
as id1_12_1_, memberrole0_.member_id as member_i2_12_1_, memberrole0_.role_id as role_id3_12_1_, 
role1_.id as id1_17_2_, role1_.name as name2_17_2_ from member_roles memberrole0_ left outer 
join roles role1_ on memberrole0_.role_id=role1_.id where memberrole0_.member_id=104 

10:44:29.402 [main] INFO  jdbc.resultsettable - 
|----------|---|---|----------|--------|---|-----|
|member_id |id |id |member_id |role_id |id |name |
|----------|---|---|----------|--------|---|-----|
|----------|---|---|----------|--------|---|-----|

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/

打开org.hibernate.type记录器，查看实际参数是如何绑定到问号的。

在Java中:

如果查询是CriteriaQuery (javax.persistence)，则转换TypedQuery中的查询。

然后:

query.unwrap (org.hibernate.Query.class) .getQueryString ();

您可以在log4j.xml中添加类别行:

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

并添加hibernate属性:

<property name="show_sql">true</property>
<property name="format_sql">true</property>
<property name="use_sql_comments">true</property>

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