Table Level Locking

The database allows multiple concurrent connections to the same database. To make sure all connections only see consistent data, table level locking is used by default. This mechanism does not allow high concurrency, but is very fast. Shared locks and exclusive locks are supported. Before reading from a table, the database tries to add a shared lock to the table (this is only possible if there is no exclusive lock on the object by another connection). If the shared lock is added successfully, the table can be read. It is allowed that other connections also have a shared lock on the same object. If a connection wants to write to a table (update or delete a row), an exclusive lock is required. To get the exclusive lock, other connection must not have any locks on the object. After the connection commits, all locks are released. This database keeps all locks in memory. When a lock is released, and multiple connections are waiting for it, one of them is picked at random.

Lock Timeout

If a connection cannot get a lock on an object, the connection waits for some amount of time (the lock timeout). During this time, hopefully the connection holding the lock commits and it is then possible to get the lock. If this is not possible because the other connection does not release the lock for some time, the unsuccessful connection will get a lock timeout exception. The lock timeout can be set individually for each connection.

Multi-Version Concurrency Control (MVCC)

The MVCC feature allows higher concurrency than using (table level or row level) locks. When using MVCC in this database, delete, insert and update operations will only issue a shared lock on the table. An exclusive lock is still used when adding or removing columns, when dropping the table, and when using SELECT ... FOR UPDATE. Connections only 'see' committed data, and own changes. That means, if connection A updates a row but doesn't commit this change yet, connection B will see the old value. Only when the change is committed, the new value is visible by other connections (read committed). If multiple connections concurrently try to update the same row, the database waits until it can apply the change, but at most until the lock timeout expires.

To use the MVCC feature, append ;MVCC=TRUE to the database URL:

jdbc:h2:~/test;MVCC=TRUE

MVCC is disabled by default. The MVCC feature is not fully tested yet. The limitations of the MVCC mode are: it can not be used at the same time as MULTI_THREADED=TRUE; the complete undo log (the list of uncommitted changes) must fit in memory when using multi-version concurrency. The setting MAX_MEMORY_UNDO has no effect. It is not possible to enable or disable this setting while the database is already open. The setting must be specified in the first connection (the one that opens the database).

If MVCC is enabled, changing the lock mode (LOCK_MODE) has no effect.

h2database源码浅析:锁与MVCC的更多相关文章

  1. h2database源码浅析:SQL语句的执行

    最近想好好了解一下数据库的原理,下载了h2database的源码,准备好好看看.此过程的一些想法,暂且记下来,权当做读码笔记吧! 为了调试准备的测试用例: @Test public void test ...

  2. h2database源码浅析:TransactionMap、MVMap、MVStore

    TransactionStore:A store that supports concurrent MVCC read-committed transactions. TransactionStore ...

  3. h2database源码浅析:集群

    Clustering / High Availability This database supports a simple clustering / high availability mechan ...

  4. h2database源码浅析:事务、两阶段提交

    Transaction Isolation Transaction isolation is provided for all data manipulation language (DML) sta ...

  5. h2database源码浅析:MVTable与MVIndex

    Database包含一个Store:MVTableEngine.Store getMvStore() MVTableEngine.Store可以获取各tables:java.util.HashMap& ...

  6. MySQL多版本并发控制机制(MVCC)-源码浅析

    MySQL多版本并发控制机制(MVCC)-源码浅析 前言 作为一个数据库爱好者,自己动手写过简单的SQL解析器以及存储引擎,但感觉还是不够过瘾.<<事务处理-概念与技术>>诚然 ...

  7. ReentrantLock和condition源码浅析(二)

    转载请注明出处... 接着上一篇的ReentrantLock和condition源码浅析(一),这篇围绕着condition 一.condition的介绍 在这里为了作对比,引入Object类的两个方 ...

  8. java并发:jdk1.8中ConcurrentHashMap源码浅析

    ConcurrentHashMap是线程安全的.可以在多线程中对ConcurrentHashMap进行操作. 在jdk1.7中,使用的是锁分段技术Segment.数据结构是数组+链表. 对比jdk1. ...

  9. String 源码浅析————终结篇

    写在前面 说说这几天看源码的感受吧,其实 jdk 中的源码设计是最值得进阶学习的地方.我们在对 api 较为熟悉之后,完全可以去尝试阅读一些 jdk 源码,打开 jdk 源码后,如果你英文能力稍微过得 ...

随机推荐

  1. 关于main()和_tmain()

    1.两者的共同点 int _tmain(int argc, _TCHAR* argv[])    和  int main(int argc, char* argv[])  ,两者都是程序的主函数,两者 ...

  2. [Objective-c 基础 - 2.1] 封装

    A.封装内部细节,根据需求暴露方法 #import <Foundation/Foundation.h> @interface Student : NSObject { int age; } ...

  3. [C语言 - 14] 进制

    进制 二进制 int number = 0B1010; 没有二进制的输出格式   八进制     int number2 = 07613;     printf("number2 = %o\ ...

  4. java类的访问控制符与其他几个特殊修饰符的总结

    1  访问控制符 1.1 字段或者方法的访问控制符   同一个类中 同一个包中 不同包中的子类 不同包中的非子类 private YES       默认(包可访问) YES YES     prot ...

  5. redis优化优秀文选

    Redis是一个单线程的内存数据库.下载地址如下:http://download.redis.io/releases/redis-2.8.11.tar.gz在Redis的src目录运行make命令,然 ...

  6. jeewx的使用_01 接入和验证

    jeewx是java语言的用于开发微信公共平台的一个框架,有人说很臃肿,但个人感觉还不错,仁者见仁智者见智吧, 下面简单介绍工作原理: 1.下载 要使用jeewx需要先下载其源码 jeewx介绍:ht ...

  7. Judge

    1. 循环list中的所有元素然后删除重复 public   static   List  removeDuplicate(List list)  { for  ( int  i  =   0 ; i ...

  8. iOS开发-分页栏和选取器的使用

    一.分页栏 创建一个新的项目,Subclass of的值选中UIViewController,然后在storyboard中删除根视图,在右下方拖出一个Tab Bar Controller 新增分页,只 ...

  9. zigbee 学习记录之一:资料搜索

    先从网络来一段资料吧,在学习过程中慢慢整理资料. <由于zigbee 以cc2530 51单片机为基础,Zstack为源头,比较成熟了,学习和摸索就从Zstack开始吧.没有师傅,就有从网络上大 ...

  10. powershell.exe直接运行命令

    powershell.exe -Command "& { ('time={0},user={1}' -f (get-date),(whoami)) | Out-File " ...