Problem

How do you determine what SQL query is being executed by Hibernate? How can you see the Hibernate’ internal workings? How do you enable logging to troubleshoot complex issues related to Hibernate?

Solution

You have to enable Hibernate logging in the Hibernate configuration. Hibernate uses Simple Logging Facade for Java (SLF4J) to log various system events. SLF4J, which is distributed as a free software license, abstracts the actual logging framework that an application uses. SLF4J can direct your logging output to several logging frameworks:

  • NOP: Null logger implementation
  • Simple: A logging antiframework that is very simple to use and attempts to solve every logging problem in one package
  • Log4j version 1.2: A widely used open–source logging framework
  • JDK 1.4 logging: A logging API provided by Java
  • JCL: An open-source Commons logging framework that provides an interface with thin wrapper implementations for other logging tools
  • Logback: A serializable logger that logs after its deserialization, depending on the chosen binding

To set up logging, you need the slf4j-api.jar file in your classpath, together with the JAR file for your preferred binding: slf4j-log4j12.jar in the case of log4j. You can also enable a property called showsql to see the exact query being executed. You can configure a logging layer such as Apache log4j to enable Hibernate class- or package-level logging. And you can use the Statistics interface provided by Hibernate to obtain detailed information.

How It Works

You have to configure the Hibernate show_sql property to enable logging.

Inspecting the SQL Statements Issued by Hibernate

Hibernate generates SQL statements that enable you to access the database behind the scene. You can set the show_sql property to true in the hibernate.cfg.xml XML configuration file to print the SQL statements to stdout:

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

Enabling Live Statistics

You can enable live statistics by setting the hibernate.generate_statistics property in the configuration file:

<property name="hibernate.generate_statistics">true</property>

You can also access statistics programmatically by using the Statistics interfaces. Hibernate provides SessionStatistics and Statistics interfaces in the org.hibernate.stat package. The following code shows the use of some utility methods:

 SessionFactory sessionFactory = SessionManager.getSessionFactory();
session = sessionFactory.openSession();
SessionStatistics sessionStats = session.getStatistics();
Statistics stats = sessionFactory.getStatistics();
tx = session.beginTransaction();
Publisher publisher = new Publisher();
publisher.setCode("apress");
publisher.setName("Apress");
publisher.setAddress("233 Spring Street, New York, NY 10013");
session.persist(publisher);
tx.commit();
logger.info("getEntityCount- " + sessionStats.getEntityCount());
logger.info("openCount- " + stats.getSessionOpenCount());
logger.info("getEntityInsertCount- " + stats.getEntityInsertCount());
stats.logSummary();
session.close();

The output of this code sample is shown here (the complete log is given for clarity):

HCANN000001: Hibernate Commons Annotations {4.0.4.Final}
HHH000412: Hibernate Core {4.3.5.Final}
HHH000206: hibernate.properties not found HHH000021: Bytecode provider name : javassist
HHH000043: Configuring from resource: /hibernate.cfg.xml
HHH000040: Configuration resource: /hibernate.cfg.xml
HHH000221: Reading mappings from resource: com/apress/hibernaterecipes/chapter1/model/Book.hbm.xml
HHH000221: Reading mappings from resource: com/apress/hibernaterecipes/chapter1/model/Publisher.hbm.xml
HHH000041: Configured SessionFactory: null
HHH000402: Using Hibernate built-in connection pool (not for production use!)
HHH000401: using driver [org.hsqldb.jdbcDriver] at URL [jdbc:hsqldb:file:./chapter1;write_delay=false]
HHH000046: Connection properties: {}
HHH000006: Autocommit mode: false
HHH000115: Hibernate connection pool size: 20 (min=1)
HHH000400: Using dialect: org.hibernate.dialect.HSQLDialect
HHH000399: Using default transaction strategy (direct JDBC transactions)
HHH000397: Using ASTQueryTranslatorFactory
HHH000227: Running hbm2ddl schema export
HHH000230: Schema export complete Session Metrics {    
  14000 nanoseconds spent acquiring 1 JDBC connections;     0 nanoseconds spent releasing 0 JDBC connections;     2445000 nanoseconds spent preparing 2 JDBC statements;     1636000 nanoseconds spent executing 2 JDBC statements;     0 nanoseconds spent executing 0 JDBC batches;     0 nanoseconds spent performing 0 L2C puts;     0 nanoseconds spent performing 0 L2C hits;     0 nanoseconds spent performing 0 L2C misses;     0 nanoseconds spent executing 0 flushes (flushing a total of 0 entities and 0 collections);     59000 nanoseconds spent executing 2 partial-flushes (flushing a total of 0 entities and 0 collections) } getEntityCount- 1 openCount- 2 getEntityInsertCount- 1 HHH000161: Logging statistics....
HHH000251: Start time: 1408349026472 HHH000242: Sessions opened: 2
HHH000241: Sessions closed: 1 HHH000266: Transactions: 2
HHH000258: Successful transactions: 2
HHH000187: Optimistic lock failures: 0
HHH000105: Flushes: 1
HHH000048: Connections obtained: 2
HHH000253: Statements prepared: 3
HHH000252: Statements closed: 0
HHH000239: Second level cache puts: 0
HHH000237: Second level cache hits: 0
HHH000238: Second level cache misses: 0
HHH000079: Entities loaded: 0
HHH000080: Entities updated: 0
HHH000078: Entities inserted: 1
HHH000076: Entities deleted: 0
HHH000077: Entities fetched (minimize this): 0
HHH000033: Collections loaded: 0
HHH000036: Collections updated: 0
HHH000035: Collections removed: 0
HHH000034: Collections recreated: 0
HHH000032: Collections fetched (minimize this): 0
HHH000438: NaturalId cache puts: 0
HHH000439: NaturalId cache hits: 0 HHH000440: NaturalId cache misses: 0
HHH000441: Max NaturalId query time: 0ms
HHH000442: NaturalId queries executed to database: 0
HHH000210: Queries executed to database: 0
HHH000215: Query cache puts: 0 HHH000433: update timestamps cache puts: 0
HHH000434: update timestamps cache hits: 0
HHH000435: update timestamps cache misses: 0
HHH000213: Query cache hits: 0
HHH000214: Query cache misses: 0
HHH000173: Max query time: 0ms Session Metrics {     5000 nanoseconds spent acquiring 1 JDBC connections;     0 nanoseconds spent releasing 0 JDBC connections;     262000 nanoseconds spent preparing 1 JDBC statements;     828000 nanoseconds spent executing 1 JDBC statements;     0 nanoseconds spent executing 0 JDBC batches;     0 nanoseconds spent performing 0 L2C puts;     0 nanoseconds spent performing 0 L2C hits;     0 nanoseconds spent performing 0 L2C misses;     8131000 nanoseconds spent executing 1 flushes (flushing a total of 1 entities and 0 collections);     0 nanoseconds spent executing 0 partial-flushes (flushing a total of 0 entities and 0 collections) }

Hibernate中启用日志的更多相关文章

  1. Hibernate使用Log4j日志记录(使用properties文件)

    我们知道,Log4j和Logback框架可用于支持日志记录hibernate,使用log4j有两种执行日志记录的方法: 通过log4j.xml文件(或) 通过log4j.properties文件 在这 ...

  2. Hibernate使用Log4j日志记录(使用xml文件)

    日志记录使程序员能够将日志详细信息永久写入文件. Log4j和Logback框架可以在hibernate框架中使用来支持日志记录. 使用log4j执行日志记录有两种方法: 通过log4j.xml文件( ...

  3. hibernate学习(9)——日志,一对一,二级缓存

    1.Hibernate中的日志 1  slf4j 核心jar  : slf4j-api-1.6.1.jar .slf4j是日志框架,将其他优秀的日志第三方进行整合. 整合导入jar包 log4j 核心 ...

  4. hibernate中的缓存机制

    一.为什么要用Hibernate缓存? Hibernate是一个持久层框架,经常访问物理数据库. 为了降低应用程序对物理数据源访问的频次,从而提高应用程序的运行性能. 缓存内的数据是对物理数据源中的数 ...

  5. 【Azure Application Insights】在Azure Function中启用Application Insights后,如何配置不输出某些日志到AI 的Trace中

    问题描述 基于.NET Core的Function App如果配置了Application Insights之后,每有一个函数被执行,则在Application Insights中的Logs中的tra ...

  6. 【Hibernate】解析hibernate中的缓存

    Hibernate中的缓存一共有三种,一级缓存.二级缓存.查询缓存.缓存除了使用Hibernate自带的缓存,还可以使用redis进行缓存,或是MongoDB进行缓存. 所使用的Demo: User. ...

  7. Java三大框架之——Hibernate中的三种数据持久状态和缓存机制

    Hibernate中的三种状态   瞬时状态:刚创建的对象还没有被Session持久化.缓存中不存在这个对象的数据并且数据库中没有这个对象对应的数据为瞬时状态这个时候是没有OID. 持久状态:对象经过 ...

  8. mysql的innodb中事务日志ib_logfile

    mysql的innodb中事务日志ib_logfile事务日志或称redo日志,在mysql中默认以ib_logfile0,ib_logfile1名称存在,可以手工修改参数,调节开启几组日志来服务于当 ...

  9. ns3 Tutorial 中的日志模块(翻译)

      转载地址:http://blog.sina.com.cn/s/blog_8ecca79b0101d7fe.html     1  日志模块的使用   在运行 first.cc 脚本时,我们已经简单 ...

随机推荐

  1. IOS 支付功能的实现

    支付宝是第三方支付平台,简单来说就是协调客户,商户,银行三者关系的方便平台 使用支付宝进行一个完整的支付功能,大致有以下步骤: a 与支付宝进行签约,获得商户ID(partner)和账号ID(sell ...

  2. aspx页面中用Input 标签实现上传图片功能

    实现上传图片功能需单独的建立一个aspx页面, 其中前台页面需要注意两点: a)实现上传功能的input的type="file" b)设置请求报文头为 enctype=" ...

  3. tomcat 配置文件下载目录

    tomcat可提供文件的直接下载.有两种方式. 第1种 放到ROOT 目录下 然后在网址中访问: http://ip:8080/download.zip 便可下载 第2种 希望使用自己的文件路径. 在 ...

  4. LotusPhp起步:经典的HelloWorld

    写了几篇LotusPhp,一直没有跑个程序,感觉好像步骤有点错,所以先上个经典的Demo,HelloWorld吧 先按推荐目录建好文件夹,如果懒的建,下面有下载的Demo包,解压就可以用,因为简单,也 ...

  5. mybatis使用笔记

    关于动态SQL里的条件查询(if test): 1.lombok插件和mybatis插件在有些变量名下会冲突,比如一个变量为rType的字段,lombok插件认为应该是getRType,但是mybat ...

  6. Android Material Design:NavigationView抽屉导航菜单

    需要添加的包: 测试代码: package com.zzw.navigationview; import android.app.Activity; import android.os.Bundle; ...

  7. 02-线性结构3 Pop Sequence

    Given a stack which can keep M numbers at most. Push N numbers in the order of 1, 2, 3, ..., N and p ...

  8. 浅谈HAL

    参考:http://blog.csdn.net/mr_raptor/article/details/8074549 代码实现:http://blog.csdn.net/mr_raptor/articl ...

  9. hdu 2544 最短路

    题目连接 http://acm.hdu.edu.cn/showproblem.php?pid=2544 最短路 Description 在每年的校赛里,所有进入决赛的同学都会获得一件很漂亮的t-shi ...

  10. Tutorial: Analyzing sales data from Excel and an OData feed

    With Power BI Desktop, you can connect to all sorts of different data sources, then combine and shap ...