distributed lock manager (DLM)(分布式管理锁)
A distributed lock manager (DLM) provides distributed software applications with a means to synchronize their accesses to shared resources.
DLMs have been used as the foundation for several successful clustered file systems, in which the machines in a cluster can use each other's storage via a unified file system, with significant advantages for performance and availability. The main performance benefit comes from solving the problem of disk cache coherency between participating computers. The DLM is used not only for file locking but also for coordination of all disk access. VMScluster, the first clustering system to come into widespread use, relies on the OpenVMS DLM in just this way.
Contents
[hide]
- 1 VMS implementation
- 2 Linux clustering
- 3 Google's Chubby lock service
- 4 ZooKeeper
- 5 SSI Systems
- 6 References
VMS implementation[edit]
VMS (virtual memory system) was the first widely available operating system to implement a DLM. This became available in Version 4, although the user interface was the same as the single-processor lock manager that was first implemented in Version 3.
Resources[edit]
The DLM uses a generalized concept of a resource, which is some entity to which shared access must be controlled. This can relate to a file, a record, an area of shared memory, or anything else that the application designer chooses. A hierarchy of resources may be defined, so that a number of levels of locking can be implemented. For instance, a hypothetical database might define a resource hierarchy as follows:
- Database
- Table
- Record
- Field
A process can then acquire locks on the database as a whole, and then on particular parts of the database. A lock must be obtained on a parent resource before a subordinate resource can be locked.
Lock modes[edit]
A process running within a VMSCluster may obtain a lock on a resource. There are six lock modes that can be granted, and these determine the level of exclusivity of access to the resource. Once a lock has been granted, it is possible to convert the lock to a higher or lower level of lock mode. When all processes have unlocked a resource, the system's information about the resource is destroyed.
- Null Lock (NL). Indicates interest in the resource, but does not prevent other processes from locking it. It has the advantage that the resource and its lock value block are preserved, even when no processes are locking it.
- Concurrent Read (CR). Indicates a desire to read (but not update) the resource. It allows other processes to read or update the resource, but prevents others from having exclusive access to it. This is usually employed on high-level resources, in order that more restrictive locks can be obtained on subordinate resources.
- Concurrent Write (CW). Indicates a desire to read and update the resource. It also allows other processes to read or update the resource, but prevents others from having exclusive access to it. This is also usually employed on high-level resources, in order that more restrictive locks can be obtained on subordinate resources.
- Protected Read (PR). This is the traditional share lock, which indicates a desire to read the resource but prevents other from updating it. Others can however also read the resource.
- Protected Write (PW). This is the traditional update lock, which indicates a desire to read and update the resource and prevents others from updating it. Others with Concurrent Read access can however read the resource.
- Exclusive (EX). This is the traditional exclusive lock which allows read and update access to the resource, and prevents others from having any access to it.
The following truth table shows the compatibility of each lock mode with the others:
Mode
NL
CR
CW
PR
PW
EX
NL
Yes
Yes
Yes
Yes
Yes
Yes
CR
Yes
Yes
Yes
Yes
Yes
No
CW
Yes
Yes
Yes
No
No
No
PR
Yes
Yes
No
Yes
No
No
PW
Yes
Yes
No
No
No
No
EX
Yes
No
No
No
No
No
Obtaining a lock[edit]
A process can obtain a lock on a resource by enqueueing a lock request. This is similar to the QIO technique that is used to perform I/O. The enqueue lock request can either complete synchronously, in which case the process waits until the lock is granted, or asynchronously, in which case an AST occurs when the lock has been obtained.
It is also possible to establish a blocking AST, which is triggered when a process has obtained a lock that is preventing access to the resource by another process. The original process can then optionally take action to allow the other access (e.g. by demoting or releasing the lock).
Lock value block[edit]
A lock value block is associated with each resource. This can be read by any process that has obtained a lock on the resource (other than a null lock) and can be updated by a process that has obtained a protected update or exclusive lock on it.
It can be used to hold any information about the resource that the application designer chooses. A typical use is to hold a version number of the resource. Each time the associated entity (e.g. a database record) is updated, the holder of the lock increments the lock value block. When another process wishes to read the resource, it obtains the appropriate lock and compares the current lock value with the value it had last time the process locked the resource. If the value is the same, the process knows that the associated entity has not been updated since last time it read it, and therefore it is unnecessary to read it again. Hence, this technique can be used to implement various types of cache in a database or similar application.
Deadlock detection[edit]
When one or more processes have obtained locks on resources, it is possible to produce a situation where each is preventing another from obtaining a lock, and none of them can proceed. This is known as a deadlock (E. W. Dijkstra originally called it a deadly embrace).[1]
A simple example is when Process 1 has obtained an exclusive lock on Resource A, and Process 2 has obtained an exclusive lock on Resource B. If Process 1 then tries to lock Resource B, it will have to wait for Process 2 to release it. But if Process 2 then tries to lock Resource A, both processes will wait forever for each other.
The OpenVMS DLM periodically checks for deadlock situations. In the example above, the second lock enqueue request of one of the processes would return with a deadlock status. It would then be up to this process to take action to resolve the deadlock—in this case by releasing the first lock it obtained.
Linux clustering[edit]
Both Red Hat and Oracle have developed clustering software for Linux.
OCFS2, the Oracle Cluster File System was added[2] to the official Linux kernel with version 2.6.16, in January 2006. The alpha-quality code warning on OCFS2 was removed in 2.6.19.
Red Hat's cluster software, including their DLM and GFS2 was officially added to the Linux kernel [3] with version 2.6.19, in November 2006.
Both systems use a DLM modeled on the venerable VMS DLM.[4] Oracle's DLM has a simpler API. (the core function, dlmlock(), has eight parameters, whereas the VMSSYS$ENQ service and Red Hat's dlm_lock both have 11.)
Google's Chubby lock service[edit]
Google has developed Chubby, a lock service for loosely-coupled distributed systems.[5] It is designed for coarse-grained locking and also provides a limited but reliable distributed file system. Key parts of Google's infrastructure, including Google File System, BigTable, and MapReduce, use Chubby to synchronize accesses to shared resources. Though Chubby was designed as a lock service, it is now heavily used inside Google as a name server, supplanting DNS.[5]
ZooKeeper[edit]
Apache ZooKeeper, which was born out of Yahoo is open-source software and can be used to perform distributed locks[6] as well.
SSI Systems[edit]
A DLM is also a key component of more ambitious single system image projects such as OpenSSI.
References[edit]
- Jump up^ Gehani, Narain (1991). Ada: Concurrent Programming. p. 105. ISBN 9780929306087.
- Jump up^ kernel/git/torvalds/linux.git - Linux kernel source tree. Kernel.org. Retrieved on 2013-09-18.
- Jump up^ kernel/git/torvalds/linux.git - Linux kernel source tree. Git.kernel.org (2006-12-07). Retrieved on 2013-09-18.
- Jump up^ The OCFS2 filesystem. Lwn.net (2005-05-24). Retrieved on 2013-09-18.
- ^ Jump up to:a b Google Research Publication: Chubby Distributed Lock Service. Research.google.com. Retrieved on 2013-09-18.
- Jump up^ ZooKeeper Recipes and Solutions. Zookeeper.apache.org. Retrieved on 2013-09-18.
- HP OpenVMS Systems Services Reference Manual – $ENQ
- ARCS - A Web Service used as a Distributed Lock Manager
- Officer - A simple distributed lock manager written in Ruby
distributed lock manager (DLM)(分布式管理锁)的更多相关文章
- DLM分布式锁的实现机制
1.AST简介 DLM进程(LMON.LMD)之间的跨实例通信是使用高速互联上的IPC层实现的.为了传递锁资源的状态,DLM使用了异步陷阱(AST),它在操作系统处理程序例程中实现为中断.纯粹主义者可 ...
- 安装配置 Kafka Manager 分布式管理工具
Kafka Manager 特性,它支持以下内容(官方译解): 管理多个群集容易检查集群状态(主题,消费者,偏移量,经纪人,副本分发,分区分配)运行首选副本选举使用选项生成分区分配,以选择要使用的代理 ...
- 单机Redis实现分布式互斥锁
代码地址如下:http://www.demodashi.com/demo/12520.html 0.准备工作 0-1 运行环境 jdk1.8 gradle 一个能支持以上两者的代码编辑器,作者使用的是 ...
- .net core 下的分布式事务锁
原文:.net core 下的分布式事务锁 目录 系统分布式锁的用法 锁的实现 锁的使用 API内的范例: 引用链接 系统分布式锁的用法 公司框架新增功能分布式锁: 锁的性能之王: 缓存 > Z ...
- 【redis】基于redis实现分布式并发锁
基于redis实现分布式并发锁(注解实现) 说明 前提, 应用服务是分布式或多服务, 而这些"多"有共同的"redis"; (2017-12-04) 笑哭, 写 ...
- 基于Zookeeper实现的分布式互斥锁 - InterProcessMutex
Curator是ZooKeeper的一个客户端框架,其中封装了分布式互斥锁的实现,最为常用的是InterProcessMutex,本文将对其进行代码剖析 简介 InterProcessMutex基于Z ...
- DHT(Distributed Hash Table,分布式哈希表)
DHT(Distributed Hash Table,分布式哈希表)类似Tracker的根据种子特征码返回种子信息的网络. DHT全称叫分布式哈希表(Distributed Hash Table),是 ...
- 高并发场景系列(一) 利用redis实现分布式事务锁,解决高并发环境下减库存
原文:http://blog.csdn.net/heyewu4107/article/details/71009712 高并发场景系列(一) 利用redis实现分布式事务锁,解决高并发环境下减库存 问 ...
- Network Lock Manager Protocol (NLM)
资料来源 https://wiki.wireshark.org/Network_Lock_Manager 目的 The purpose of the NLM protocol is to provid ...
随机推荐
- JavaFX 之窗口跳转(一)
一.前言 笔者此处不讲JavaFX的基础API,只针对笔者工作时遇到的问题进行记录与总结. 零基础的网友可以访问 http://www.javafxchina.net/blog/docs/tutori ...
- 一篇文章学LINQ(原创)
本篇文章主要介绍linq的基本用法,采用sql和linq比较的方式由浅入深进行学习, 注意:此文章是根据真实表来进行案例说明,表结构如下: 表1: Student(学生表) ...
- 微信卡券领取页面提示签名错误,微信卡券JSAPI签名校验工具对比签名一模一样,cardExt扩展字段有问题
一.领券页面错误 二.给到前端的数据 三.根据给前端的额数据做签名校验 四.给前端的签名和校验的签名一致(这一步能判断签名没有问题,基本可以判断是前端调用微信接口时拼接的数据有问题) 五.以下是微信的 ...
- 【SQLYOG】SSH ERROR:UNABLE TO OPEN CONNECTION:GETHOSTBYNAME:UNKNOWN ERROR牵引出来的一系列问题
出现这个问题很蹊跷,SQLyog管理过一二十台的mysql服务器或者vps,连接一直没有问题,各种服务商的都没问题,也包括阿里云的.可昨天偏偏一台阿里云的服务器本地通过SQLyog去连接它的时候报这样 ...
- 初学HTML之HTML介绍
众所周知现在的H5.大数据.云计算都是热门的.其实想学好一门语言重点是多看多想多写多练. 我在博客中会从基础开始讲解HTML4.0.中间加入HTML5的新标签 在这先给大家推荐几个开发工具: note ...
- 引用 LPSTR、LPCSTR、LPTSTR、LPCTSTR、LPWSTR及LPCWSTR的意义及区别
1.ANSI(即MBCS):为多字节字符集,它是不定长表示世界文字的编码方式.ANSI表示英文字母时就和ASCII一样,但表示其他文字时就需要用多字节. 2.Unicode:用两个字节表示一个字符 ...
- laravel的auth用户认证的例子
参考http://www.cnblogs.com/yjf512/p/4042356.html 需要注意的是,生成的测试数据,password部分必须用laravel自带的hash一下 Hash::ma ...
- my.conf配置大全
[client]port = 3306socket = /tmp/mysql.sock [mysqld]port = 3306socket = /tmp/mysql.sock basedir = /u ...
- linux下 tomcat 日志乱码/中文链接404
1 日志乱码: JDK引用的设置 Java引用参数添加”-Dfile.encoding=UTF-8 -Dsun.jnu.encoding=UTF-8” 将上面参数添加到Catalina.sh中JAVA ...
- java代码---------实现布尔型的功能,是否执行下一步的关键
总结:灵活 package com.sads; import java.io.BufferedReader; import java.io.IOException; import java.io.In ...