数据库死锁
- 网络dead lock
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分布式数据库死锁检测协议
On Protocols for Deadlock Detection in Distributed Database Systems
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分布式数据库死锁检测算法主要分为集中式、层次式和分布式。
Deadlock detection algorithms of distributed database can be classified into centralized , layered and distributed .
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面向对象数据库死锁检测方法研究以实例描述分布式事务处理、分布查询等。此外本文还详细介绍了分布式死锁检测算法和假死锁以及解决方法。
RESEARCH OF AN ALGORITHM FOR DETECTING DEADLOCK IN OODBMS BASED ON NESTED TRANSACTION MODEL And then describe distributed Transaction Process and distributed query , etc.
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同时,现有的分布式数据库死锁检测算法通常假设系统采用排它锁模式或共享/排它锁模式,而忽略了分布式数据库系统中普遍应用的多锁模式,使得算法无法有效应用于分布式数据库系统。
Moreover , because existing deadlock detection algorithms of distributed database commonly adopt X lock mode or S / X lock mode , and lose sight of multiple lock mode which is applied widely in distributed database systems , these algorithms can not be applied availably in distributed database systems .
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收集整个数据库的死锁事件数据
Collecting deadlock event data for the whole database
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数据库的死锁现象及解除方法
The Deadlock and Its Removing Method of Database
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上面列出的所有资源均参与数据库引擎死锁检测方案。
All of the resources listed in the section above participate in the Database Engine deadlock detection scheme .
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本例中,将看一看如何配置锁事件监控器以让其收集整个数据库的死锁事件。
In this example , see how to configure the lock event monitor so that it collects information about deadlock events for the whole database .
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本文对分布式数据库中死锁的检测与预防进行了充分的研究,并给出了相应的状态转换图以及有关的封锁/开锁协议与算法。
In this paper , the problem of detection and prevention of deadlock in DDBMS is studied in detail . And a locking / unlocking protocol and its algorithm using the state transiting diagram are presented .
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ORACLE数据库应用中死锁的分析及改进
Analysis and Improvement of Deadlock in ORACLE Database Application
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数据库识别出死锁事件。
The database recognizes a deadlock event .
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基于时戳的分布式数据库系统中的死锁预防策略
Based-on Timestamp A Strategy of Deadlock Prevention for Distributed Database System
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分布式数据库并发控制的死锁检测算法
The Deadlock Detection Algorithm for Distributed Database Concurrency Control
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分布式数据库系统中的死锁问题
Deadlocks in distributed database system
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数据库系统中事务死锁的检测和预防,对提高系统并发性和整体性能具有重要意义。
Deadlock detection and prevention of transaction are very important to concurrency and integrity in database systems .
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在应用程序中进行资源控制,解决了多用户并发访问数据库时出现的死锁问题;
Furthermore , the source control actualized in the application program gives a solution to the deadlock problem that tend appeared in the transaction commitment .
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运行多个DB2MOVE命令将模式从一个数据库复制到另一个数据库会导致死锁。
Running multiple DB2MOVE commands to copy schemas from one database to another results in deadlocks .
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从数据库信息分层优化、快速数据库恢复、解决死锁等方面进行阐述,对数据库进行优化设计,并将此数据库优化方法应用到电能采集与分析系统。
In this paper , the optimized designs are focused on the aspects of database information slice optimization , reinstating database rapidly , solving dead lock etc.
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根据分布式数据库中事务发出不同的资源请求方式,现有的分布式数据库死锁检测算法通常针对某种资源请求模型而提出。
According to different resource request that issued by transactions , existing deadlock detection algorithms of distributed database are commonly presented for certain resource request model .