Hibernate與數據庫鎖
一、為什么要使用鎖?
要想弄清楚鎖機制存在的原因,首先要了解事務的概念。
事務是對數據庫一系列相關的操作,它必須具備ACID特征:
- A(原子性):要么全部成功,要么全部撤銷。
- C(一致性):要保持數據庫的一致性。
- I(隔離性):不同事務操作相同數據時,要有各自的數據空間。
- D(持久性):一旦事務成功結束,它對數據庫所做的更新必須永久保持。
我們常用的關系型數據庫RDBMS實現了事務的這些特性。其中,原子性、
一致性和持久性都是采用日志來保證的。而隔離性就是由今天我們關注的
鎖機制來實現的,這就是為什么我們需要鎖機制。
如果沒有鎖,對隔離性不加控制,可能會造成哪些后果呢?
- 更新丟失:事務1提交的數據被事務2覆蓋。
- 臟讀:事務2查詢到了事務1未提交的數據。
- 虛讀:事務2查詢到了事務1提交的新建數據。
- 不可重復讀:事務2查詢到了事務1提交的更新數據。
下面來看Hibernate的例子,兩個線程分別開啟兩個事務操作tb_account表中
的同一行數據col_id=1。
package com.cdai.orm.hibernate.annotation; import java.io.Serializable; import javax.persistence.Column; import javax.persistence.Entity; import javax.persistence.Id; import javax.persistence.Table; @Entity @Table(name = "tb_account") public class Account implements Serializable { private static final long serialVersionUID = 5018821760412231859L; @Id @Column(name = "col_id") private long id; @Column(name = "col_balance") private long balance; public Account() { } public Account(long id, long balance) { this.id = id; this.balance = balance; } public long getId() { return id; } public void setId(long id) { this.id = id; } public long getBalance() { return balance; } public void setBalance(long balance) { this.balance = balance; } @Override public String toString() { return "Account [id=" + id + ", balance=" + balance + "]"; } }
package com.cdai.orm.hibernate.transaction; import org.hibernate.Session; import org.hibernate.SessionFactory; import org.hibernate.Transaction; import org.hibernate.cfg.AnnotationConfiguration; import com.cdai.orm.hibernate.annotation.Account; public class DirtyRead { public static void main(String[] args) { final SessionFactory sessionFactory = new AnnotationConfiguration(). addFile("hibernate/hibernate.cfg.xml"). configure(). addPackage("com.cdai.orm.hibernate.annotation"). addAnnotatedClass(Account.class). buildSessionFactory(); Thread t1 = new Thread() { @Override public void run() { Session session1 = sessionFactory.openSession(); Transaction tx1 = null; try { tx1 = session1.beginTransaction(); System.out.println("T1 - Begin trasaction"); Thread.sleep(500); Account account = (Account) session1.get(Account.class, new Long(1)); System.out.println("T1 - balance=" + account.getBalance()); Thread.sleep(500); account.setBalance(account.getBalance() + 100); System.out.println("T1 - Change balance:" + account.getBalance()); tx1.commit(); System.out.println("T1 - Commit transaction"); Thread.sleep(500); } catch (Exception e) { e.printStackTrace(); if (tx1 != null) tx1.rollback(); } finally { session1.close(); } } }; // 3.Run transaction 2 Thread t2 = new Thread() { @Override public void run() { Session session2 = sessionFactory.openSession(); Transaction tx2 = null; try { tx2 = session2.beginTransaction(); System.out.println("T2 - Begin trasaction"); Thread.sleep(500); Account account = (Account) session2.get(Account.class, new Long(1)); System.out.println("T2 - balance=" + account.getBalance()); Thread.sleep(500); account.setBalance(account.getBalance() - 100); System.out.println("T2 - Change balance:" + account.getBalance()); tx2.commit(); System.out.println("T2 - Commit transaction"); Thread.sleep(500); } catch (Exception e) { e.printStackTrace(); if (tx2 != null) tx2.rollback(); } finally { session2.close(); } } }; t1.start(); t2.start(); while (t1.isAlive() || t2.isAlive()) { try { Thread.sleep(2000L); } catch (InterruptedException e) { } } System.out.println("Both T1 and T2 are dead."); sessionFactory.close(); } }
事務1將col_balance減小100,而事務2將其減少100,最終結果可能是0,也
可能是200,事務1或2的更新可能會丟失。log輸出也印證了這一點,事務1和2
的log交叉打印。
T1 - Begin trasaction T2 - Begin trasaction Hibernate: select account0_.col_id as col1_0_0_, account0_.col_balance as col2_0_0_ from tb_account account0_ where account0_.col_id=? Hibernate: select account0_.col_id as col1_0_0_, account0_.col_balance as col2_0_0_ from tb_account account0_ where account0_.col_id=? T1 - balance=100 T2 - balance=100 T2 - Change balance:0 T1 - Change balance:200 Hibernate: update tb_account set col_balance=? where col_id=? Hibernate: update tb_account set col_balance=? where col_id=? T1 - Commit transaction T2 - Commit transaction Both T1 and T2 are dead.
由此可見,隔離性是一個需要慎重考慮的問題,理解鎖很有必要。
二、有多少種鎖?
常見的有共享鎖、更新鎖和獨占鎖。
1.共享鎖:用于讀數據操作,允許其他事務同時讀取。當事務執行select語句時,
數據庫自動為事務分配一把共享鎖來鎖定讀取的數據。
2.獨占鎖:用于修改數據,其他事務不能讀取也不能修改。當事務執行insert、
update和delete時,數據庫會自動分配。
3.更新鎖:用于避免更新操作時共享鎖造成的死鎖,比如事務1和2同時持有
共享鎖并等待獲得獨占鎖。當執行update時,事務先獲得更新鎖,然后將
更新鎖升級成獨占鎖,這樣就避免了死鎖。
此外,這些鎖都可以施加到數據庫中不同的對象上,即這些鎖可以有不同的粒度。
如數據庫級鎖、表級鎖、頁面級鎖、鍵級鎖和行級鎖。
所以鎖是有很多種的,這么多鎖要想完全掌握靈活使用太難了,我們又不是DBA。
怎么辦?還好,鎖機制對于我們一般用戶來說是透明的,數據庫會自動添加合適的
鎖,并在適當的時機自動升級、降級各種鎖,真是太周到了!我們只需要做的就是
學會根據不同的業務需求,設置好隔離級別就可以了。
三、怎樣設置隔離級別?
一般來說,數據庫系統會提供四種事務隔離級別供用戶選擇:
1.Serializable(串行化):當兩個事務同時操縱相同數據時,事務2只能停下來等。
2.Repeatable Read(可重復讀):事務1能看到事務2新插入的數據,不能看到對
已有數據的更新。
3.Read Commited(讀已提交數據):事務1能看到事務2新插入和更新的數據。
4.Read Uncommited(讀未提交數據):事務1能看到事務2沒有提交的插入和更新
數據。
四、應用程序中的鎖
當數據庫采用Read Commited隔離級別時,可以在應用程序中采用悲觀鎖或樂觀鎖。
1.悲觀鎖:假定當前事務操作的數據肯定還會有其他事務訪問,因此悲觀地在應用
程序中顯式指定采用獨占鎖來鎖定數據資源。在MySQL、Oracle中支持以下形式:
select ... for update
顯式地讓select采用獨占鎖鎖定查詢的記錄,其他事務要查詢、更新或刪除這些被
鎖定的數據,都要等到該事務結束后才行。
在Hibernate中,可以在load時傳入LockMode.UPGRADE來采用悲觀鎖。修改前面的例子,
在事務1和2的get方法調用處,多傳入一個LockMode參數。從log中可以看出,事務1和2
不再是交叉運行,事務2等待事務1結束后才可以讀取數據,所以最終col_balance值是正確
的100。
package com.cdai.orm.hibernate.transaction; import org.hibernate.LockMode; import org.hibernate.Session; import org.hibernate.SessionFactory; import org.hibernate.Transaction; import com.cdai.orm.hibernate.annotation.Account; import com.cdai.orm.hibernate.annotation.AnnotationHibernate; public class UpgradeLock { @SuppressWarnings("deprecation") public static void main(String[] args) { final SessionFactory sessionFactory = AnnotationHibernate.createSessionFactory(); // Run transaction 1 Thread t1 = new Thread() { @Override public void run() { Session session1 = sessionFactory.openSession(); Transaction tx1 = null; try { tx1 = session1.beginTransaction(); System.out.println("T1 - Begin trasaction"); Thread.sleep(500); Account account = (Account) session1.get(Account.class, new Long(1), LockMode.UPGRADE); System.out.println("T1 - balance=" + account.getBalance()); Thread.sleep(500); account.setBalance(account.getBalance() + 100); System.out.println("T1 - Change balance:" + account.getBalance()); tx1.commit(); System.out.println("T1 - Commit transaction"); Thread.sleep(500); } catch (Exception e) { e.printStackTrace(); if (tx1 != null) tx1.rollback(); } finally { session1.close(); } } }; // Run transaction 2 Thread t2 = new Thread() { @Override public void run() { Session session2 = sessionFactory.openSession(); Transaction tx2 = null; try { tx2 = session2.beginTransaction(); System.out.println("T2 - Begin trasaction"); Thread.sleep(500); Account account = (Account) session2.get(Account.class, new Long(1), LockMode.UPGRADE); System.out.println("T2 - balance=" + account.getBalance()); Thread.sleep(500); account.setBalance(account.getBalance() - 100); System.out.println("T2 - Change balance:" + account.getBalance()); tx2.commit(); System.out.println("T2 - Commit transaction"); Thread.sleep(500); } catch (Exception e) { e.printStackTrace(); if (tx2 != null) tx2.rollback(); } finally { session2.close(); } } }; t1.start(); t2.start(); while (t1.isAlive() || t2.isAlive()) { try { Thread.sleep(2000L); } catch (InterruptedException e) { } } System.out.println("Both T1 and T2 are dead."); sessionFactory.close(); } }
T1 - Begin trasaction T2 - Begin trasaction Hibernate: select account0_.col_id as col1_0_0_, account0_.col_balance as col2_0_0_ from tb_account account0_ with (updlock, rowlock) where account0_.col_id=? Hibernate: select account0_.col_id as col1_0_0_, account0_.col_balance as col2_0_0_ from tb_account account0_ with (updlock, rowlock) where account0_.col_id=? T2 - balance=100 T2 - Change balance:0 Hibernate: update tb_account set col_balance=? where col_id=? T2 - Commit transaction T1 - balance=0 T1 - Change balance:100 Hibernate: update tb_account set col_balance=? where col_id=? T1 - Commit transaction Both T1 and T2 are dead.
Hibernate對于SQLServer 2005會執行SQL:
select account0_.col_id as col1_0_0_, account0_.col_balance as col2_0_0_ from tb_account account0_ with (updlock, rowlock) where account0_.col_id=?
2.樂觀鎖:假定當前事務操作的數據不會有其他事務同時訪問,因此完全依靠數據庫
的隔離級別來自動管理鎖的工作。在應用程序中采用版本控制來避免可能低概率出現
的并發問題。
在Hibernate中,使用Version注解來定義版本號字段。
將DirtyLock中的Account對象替換成AccountVersion,其他代碼不變,執行出現異常。
package com.cdai.orm.hibernate.transaction; import javax.persistence.Column; import javax.persistence.Entity; import javax.persistence.Id; import javax.persistence.Table; import javax.persistence.Version; @Entity @Table(name = "tb_account_version") public class AccountVersion { @Id @Column(name = "col_id") private long id; @Column(name = "col_balance") private long balance; @Version @Column(name = "col_version") private int version; public AccountVersion() { } public AccountVersion(long id, long balance) { this.id = id; this.balance = balance; } public long getId() { return id; } public void setId(long id) { this.id = id; } public long getBalance() { return balance; } public void setBalance(long balance) { this.balance = balance; } public int getVersion() { return version; } public void setVersion(int version) { this.version = version; } }
log如下:
T1 - Begin trasaction T2 - Begin trasaction Hibernate: select accountver0_.col_id as col1_0_0_, accountver0_.col_balance as col2_0_0_, accountver0_.col_version as col3_0_0_ from tb_account_version accountver0_ where accountver0_.col_id=? Hibernate: select accountver0_.col_id as col1_0_0_, accountver0_.col_balance as col2_0_0_, accountver0_.col_version as col3_0_0_ from tb_account_version accountver0_ where accountver0_.col_id=? T1 - balance=1000 T2 - balance=1000 T1 - Change balance:900 T2 - Change balance:1100 Hibernate: update tb_account_version set col_balance=?, col_version=? where col_id=? and col_version=? Hibernate: update tb_account_version set col_balance=?, col_version=? where col_id=? and col_version=? T1 - Commit transaction 2264 [Thread-2] ERROR org.hibernate.event.def.AbstractFlushingEventListener - Could not synchronize database state with session org.hibernate.StaleObjectStateException: Row was updated or deleted by another transaction (or unsaved-value mapping was incorrect): [com.cdai.orm.hibernate.transaction.AccountVersion#1] at org.hibernate.persister.entity.AbstractEntityPersister.check(AbstractEntityPersister.java:1934) at org.hibernate.persister.entity.AbstractEntityPersister.update(AbstractEntityPersister.java:2578) at org.hibernate.persister.entity.AbstractEntityPersister.updateOrInsert(AbstractEntityPersister.java:2478) at org.hibernate.persister.entity.AbstractEntityPersister.update(AbstractEntityPersister.java:2805) at org.hibernate.action.EntityUpdateAction.execute(EntityUpdateAction.java:114) at org.hibernate.engine.ActionQueue.execute(ActionQueue.java:268) at org.hibernate.engine.ActionQueue.executeActions(ActionQueue.java:260) at org.hibernate.engine.ActionQueue.executeActions(ActionQueue.java:180) at org.hibernate.event.def.AbstractFlushingEventListener.performExecutions(AbstractFlushingEventListener.java:321) at org.hibernate.event.def.DefaultFlushEventListener.onFlush(DefaultFlushEventListener.java:51) at org.hibernate.impl.SessionImpl.flush(SessionImpl.java:1206) at org.hibernate.impl.SessionImpl.managedFlush(SessionImpl.java:375) at org.hibernate.transaction.JDBCTransaction.commit(JDBCTransaction.java:137) at com.cdai.orm.hibernate.transaction.VersionLock$2.run(VersionLock.java:93) Both T1 and T2 are dead.
由于樂觀鎖完全將事務隔離交給數據庫來控制,所以事務1和2交叉運行了,事務1提交
成功并將col_version改為1,然而事務2提交時已經找不到col_version為0的數據了,所以
拋出了異常。
Hibernate查詢方法比較
Hibernate主要有三種查詢方法:
1.HQL (Hibernate Query Language)
和SQL很類似,支持分頁、連接、分組、聚集函數和子查詢等特性,
但HQL是面向對象的,而不是面向關系數據庫中的表。正因查詢語句
是面向Domain對象的,所以使用HQL可以獲得跨平臺的好處,Hibernate
會自動幫我們根據不同的數據庫翻譯成不同的SQL語句。這在需要支持
多種數據庫或者數據庫遷移的應用中是十分方便的。
但得到方便的同時,由于SQL語句是由Hibernate自動生成的,所以這不
利于SQL語句的效率優化和調試,當數據量很大時可能會有效率問題,
出了問題也不便于排查解決。
2.QBC/QBE (Query by Criteria/Example)
QBC/QBE是通過組裝查詢條件或者模板對象來執行查詢的。這在需要
靈活地支持許多查詢條件自由組合的應用中是比較方便的。同樣的問題
是由于查詢語句是自由組裝的,創建一條語句的代碼可能很長,并且
包含許多分支條件,很不便于優化和調試。
3.SQL
Hibernate也支持直接執行SQL的查詢方式。這種方式犧牲了Hibernate跨
數據庫的優點,手工地編寫底層SQL語句,從而獲得最好的執行效率,
相對前兩種方法,優化和調試方便了一些。
下面來看一組簡單的例子。
package com.cdai.orm.hibernate.query; import java.util.Arrays; import java.util.List; import org.hibernate.Criteria; import org.hibernate.Query; import org.hibernate.Session; import org.hibernate.SessionFactory; import org.hibernate.cfg.AnnotationConfiguration; import org.hibernate.criterion.Criterion; import org.hibernate.criterion.Example; import org.hibernate.criterion.Expression; import com.cdai.orm.hibernate.annotation.Account; public class BasicQuery { public static void main(String[] args) { SessionFactory sessionFactory = new AnnotationConfiguration(). addFile("hibernate/hibernate.cfg.xml"). configure(). addPackage("com.cdai.orm.hibernate.annotation"). addAnnotatedClass(Account.class). buildSessionFactory(); Session session = sessionFactory.openSession(); // 1.HQL Query query = session.createQuery("from Account as a where a.id=:id"); query.setLong("id", 1); List result = query.list(); for (Object row : result) { System.out.println(row); } // 2.QBC Criteria criteria = session.createCriteria(Account.class); criteria.add(Expression.eq("id", new Long(2))); result = criteria.list(); for (Object row : result) { System.out.println(row); } // 3.QBE Account example= new Account(); example.setBalance(100); result = session.createCriteria(Account.class). add(Example.create(example)). list(); for (Object row : result) { System.out.println(row); } // 4.SQL query = session.createSQLQuery( " select top 10 * from tb_account order by col_id desc "); result = query.list(); for (Object row : result) { System.out.println(Arrays.toString((Object[]) row)); } session.close(); } }
Hibernate: select account0_.col_id as col1_0_, account0_.col_balance as col2_0_ from tb_account account0_ where account0_.col_id=? Account [id=1, balance=100] Hibernate: select this_.col_id as col1_0_0_, this_.col_balance as col2_0_0_ from tb_account this_ where this_.col_id=? Account [id=2, balance=100] Hibernate: select this_.col_id as col1_0_0_, this_.col_balance as col2_0_0_ from tb_account this_ where (this_.col_balance=?) Account [id=1, balance=100] Account [id=2, balance=100] Hibernate: select top 10 * from tb_account order by col_id desc [2, 100] [1, 100]
從log中可以清楚的看到Hibernate對于生成的SQL語句的控制,具體選擇
哪種查詢方式就要看具體應用了。