
- Hibernate 教程
- Hibernate - 首頁
- ORM - 概述
- Hibernate - 概述
- Hibernate - 架構
- Hibernate - 環境
- Hibernate - 配置
- Hibernate - 會話
- Hibernate - 持久化類
- Hibernate - 對映檔案
- Hibernate - 對映型別
- Hibernate - 示例
- Hibernate - O/R 對映
- Hibernate - 級聯型別
- Hibernate - 註解
- Hibernate - 查詢語言
- Hibernate - Criteria 查詢
- Hibernate - 原生 SQL
- Hibernate - 快取
- Hibernate - 實體生命週期
- Hibernate - 批次處理
- Hibernate - 攔截器
- Hibernate - ID 生成器
- Hibernate - 儲存圖片
- Hibernate - log4j 整合
- Hibernate - Spring 整合
- Hibernate - Struts 2 整合
- Hibernate - Web 應用
- 對映表示例
- Hibernate - 表繼承策略(每個層次結構一張表)
- Hibernate - 表繼承策略(每個具體類一張表)
- Hibernate - 表繼承策略(每個子類一張表)
- Hibernate 有用資源
- Hibernate - 問題與解答
- Hibernate - 快速指南
- Hibernate - 有用資源
- Hibernate - 討論
Hibernate - 批次處理
考慮這樣一種情況:您需要使用 Hibernate 將大量記錄上傳到資料庫。以下是使用 Hibernate 實現此目的的程式碼片段:
Session session = SessionFactory.openSession(); Transaction tx = session.beginTransaction(); for ( int i=0; i<100000; i++ ) { Employee employee = new Employee(.....); session.save(employee); } tx.commit(); session.close();
預設情況下,Hibernate 會將所有持久化物件快取在會話級快取中,最終您的應用程式會在大約第 50,000 行出現 OutOfMemoryException 錯誤。如果您使用 Hibernate 的批次處理功能,可以解決此問題。
要使用批次處理功能,首先將hibernate.jdbc.batch_size屬性設定為批處理大小,例如 20 或 50(具體取決於物件大小)。這將告訴 Hibernate 容器每 X 行作為一個批次進行插入。為了在程式碼中實現這一點,我們需要進行一些修改,如下所示:
Session session = SessionFactory.openSession(); Transaction tx = session.beginTransaction(); for ( int i=0; i<100000; i++ ) { Employee employee = new Employee(.....); session.save(employee); if( i % 50 == 0 ) { // Same as the JDBC batch size //flush a batch of inserts and release memory: session.flush(); session.clear(); } } tx.commit(); session.close();
上面的程式碼對於 INSERT 操作可以正常工作,但如果您想要執行 UPDATE 操作,則可以使用以下程式碼:
Session session = sessionFactory.openSession(); Transaction tx = session.beginTransaction(); ScrollableResults employeeCursor = session.createQuery("FROM EMPLOYEE").scroll(); int count = 0; while ( employeeCursor.next() ) { Employee employee = (Employee) employeeCursor.get(0); employee.updateEmployee(); seession.update(employee); if ( ++count % 50 == 0 ) { session.flush(); session.clear(); } } tx.commit(); session.close();
批次處理示例
讓我們修改配置檔案以新增hibernate.jdbc.batch_size屬性:
<?xml version = "1.0" encoding = "utf-8"?> <!DOCTYPE hibernate-configuration SYSTEM "http://www.hibernate.org/dtd/hibernate-configuration-3.0.dtd"> <hibernate-configuration> <session-factory> <property name = "hibernate.dialect"> org.hibernate.dialect.MySQLDialect </property> <property name = "hibernate.connection.driver_class"> com.mysql.jdbc.Driver </property> <!-- Assume students is the database name --> <property name = "hibernate.connection.url"> jdbc:mysql:///test </property> <property name = "hibernate.connection.username"> root </property> <property name = "hibernate.connection.password"> root123 </property> <property name = "hibernate.jdbc.batch_size"> 50 </property> <!-- List of XML mapping files --> <mapping resource = "Employee.hbm.xml"/> </session-factory> </hibernate-configuration>
考慮以下 POJO Employee 類:
public class Employee { private int id; private String firstName; private String lastName; private int salary; public Employee() {} public Employee(String fname, String lname, int salary) { this.firstName = fname; this.lastName = lname; this.salary = salary; } public int getId() { return id; } public void setId( int id ) { this.id = id; } public String getFirstName() { return firstName; } public void setFirstName( String first_name ) { this.firstName = first_name; } public String getLastName() { return lastName; } public void setLastName( String last_name ) { this.lastName = last_name; } public int getSalary() { return salary; } public void setSalary( int salary ) { this.salary = salary; } }
讓我們建立以下 EMPLOYEE 表來儲存 Employee 物件:
create table EMPLOYEE ( id INT NOT NULL auto_increment, first_name VARCHAR(20) default NULL, last_name VARCHAR(20) default NULL, salary INT default NULL, PRIMARY KEY (id) );
以下將是將 Employee 物件與 EMPLOYEE 表對映的對映檔案:
<?xml version = "1.0" encoding = "utf-8"?> <!DOCTYPE hibernate-mapping PUBLIC "-//Hibernate/Hibernate Mapping DTD//EN" "http://www.hibernate.org/dtd/hibernate-mapping-3.0.dtd"> <hibernate-mapping> <class name = "Employee" table = "EMPLOYEE"> <meta attribute = "class-description"> This class contains the employee detail. </meta> <id name = "id" type = "int" column = "id"> <generator class="native"/> </id> <property name = "firstName" column = "first_name" type = "string"/> <property name = "lastName" column = "last_name" type = "string"/> <property name = "salary" column = "salary" type = "int"/> </class> </hibernate-mapping>
最後,我們將建立包含 main() 方法的應用程式類來執行應用程式,在其中我們將使用 Session 物件提供的flush()和clear()方法,以便 Hibernate 將這些記錄寫入資料庫,而不是將它們快取在記憶體中。
import java.util.*; import org.hibernate.HibernateException; import org.hibernate.Session; import org.hibernate.Transaction; import org.hibernate.SessionFactory; import org.hibernate.cfg.Configuration; public class ManageEmployee { private static SessionFactory factory; public static void main(String[] args) { try { factory = new Configuration().configure().buildSessionFactory(); } catch (Throwable ex) { System.err.println("Failed to create sessionFactory object." + ex); throw new ExceptionInInitializerError(ex); } ManageEmployee ME = new ManageEmployee(); /* Add employee records in batches */ ME.addEmployees( ); } /* Method to create employee records in batches */ public void addEmployees( ){ Session session = factory.openSession(); Transaction tx = null; Integer employeeID = null; try { tx = session.beginTransaction(); for ( int i=0; i<100000; i++ ) { String fname = "First Name " + i; String lname = "Last Name " + i; Integer salary = i; Employee employee = new Employee(fname, lname, salary); session.save(employee); if( i % 50 == 0 ) { session.flush(); session.clear(); } } tx.commit(); } catch (HibernateException e) { if (tx!=null) tx.rollback(); e.printStackTrace(); } finally { session.close(); } return ; } }
編譯和執行
以下是編譯和執行上述應用程式的步驟。在進行編譯和執行之前,請確保已正確設定了 PATH 和 CLASSPATH。
建立如上所述的 hibernate.cfg.xml 配置檔案。
建立如上所示的 Employee.hbm.xml 對映檔案。
建立如上所示的 Employee.java 原始檔並編譯它。
建立如上所示的 ManageEmployee.java 原始檔並編譯它。
執行 ManageEmployee 二進位制檔案以執行程式,該程式將在 EMPLOYEE 表中建立 100000 條記錄。