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 – $ENQ
- ARCS - A Web Service used as a Distributed Lock Manager
- Officer - A simple distributed lock manager written in Ruby
distributed lock manager (DLM)(分布式管理锁)的更多相关文章
- DLM分布式锁的实现机制
1.AST简介 DLM进程(LMON.LMD)之间的跨实例通信是使用高速互联上的IPC层实现的.为了传递锁资源的状态,DLM使用了异步陷阱(AST),它在操作系统处理程序例程中实现为中断.纯粹主义者可 ...
- 安装配置 Kafka Manager 分布式管理工具
Kafka Manager 特性,它支持以下内容(官方译解): 管理多个群集容易检查集群状态(主题,消费者,偏移量,经纪人,副本分发,分区分配)运行首选副本选举使用选项生成分区分配,以选择要使用的代理 ...
- 单机Redis实现分布式互斥锁
代码地址如下:http://www.demodashi.com/demo/12520.html 0.准备工作 0-1 运行环境 jdk1.8 gradle 一个能支持以上两者的代码编辑器,作者使用的是 ...
- .net core 下的分布式事务锁
原文:.net core 下的分布式事务锁 目录 系统分布式锁的用法 锁的实现 锁的使用 API内的范例: 引用链接 系统分布式锁的用法 公司框架新增功能分布式锁: 锁的性能之王: 缓存 > Z ...
- 【redis】基于redis实现分布式并发锁
基于redis实现分布式并发锁(注解实现) 说明 前提, 应用服务是分布式或多服务, 而这些"多"有共同的"redis"; (2017-12-04) 笑哭, 写 ...
- 基于Zookeeper实现的分布式互斥锁 - InterProcessMutex
Curator是ZooKeeper的一个客户端框架,其中封装了分布式互斥锁的实现,最为常用的是InterProcessMutex,本文将对其进行代码剖析 简介 InterProcessMutex基于Z ...
- DHT(Distributed Hash Table,分布式哈希表)
DHT(Distributed Hash Table,分布式哈希表)类似Tracker的根据种子特征码返回种子信息的网络. DHT全称叫分布式哈希表(Distributed Hash Table),是 ...
- 高并发场景系列(一) 利用redis实现分布式事务锁,解决高并发环境下减库存
原文:http://blog.csdn.net/heyewu4107/article/details/71009712 高并发场景系列(一) 利用redis实现分布式事务锁,解决高并发环境下减库存 问 ...
- Network Lock Manager Protocol (NLM)
资料来源 https://wiki.wireshark.org/Network_Lock_Manager 目的 The purpose of the NLM protocol is to provid ...
随机推荐
- angular中的ng-bind-html和$sce服务
输入的内容存储在数据库中,然后再在数据库中将这些数据读写到页面上,比如你使用了某个第三方的脚本或者库.加载了一段html等等,可能会多了一些css的样式(显示在界面上) 这个时候我们可以利用angul ...
- 关于angular.extend的用法
ng中的ng-function中会有些方法,便于我们进行js代码的编写 关于angular.extend(dst, src);通过从src对象复制所有属性到dst来扩展目标对象dst.你可以指定多个s ...
- Eclipse git插件使用
1.Eclipse git插件使用 1)配置提交用户名和邮箱 2)在eclipse中选择Show View 搜索git 3)点击clone按钮 选择代码保存路径 4)导入项目 5)git插件功能介绍 ...
- Java-Runoob:Java 日期时间
ylbtech-Java-Runoob:Java 日期时间 1.返回顶部 1. Java 日期时间 java.util 包提供了 Date 类来封装当前的日期和时间. Date 类提供两个构造函数来实 ...
- python学习(二十三) String(下) 分片和索引
分片: 记住, 是开闭区间. a = "abcdef"print(a[:])print(a[1:])print(a[:3])print(a[-2])print(a[:-2])pri ...
- web前端 ajax加载动态生成复选框demo
<!DOCTYPE html> <html> <head> <meta charset="utf-8" /> <title&g ...
- Linux 之rsyslog+LogAnalyzer 日志收集系统
一.LogAnalyzer介绍 LogAnalyzer工具提供了一个易于使用,功能强大的前端,用于搜索,查看和分析网络活动数据,包括系统日志,事件日志和其他许多日志源.由于它只是将数据展示到我们用户的 ...
- 【转】javascript 执行环境,变量对象,作用域链
这篇文章比较清晰的解释了一些作用域链相关的概念,忍不住收藏了 原文地址:http://segmentfault.com/a/1190000000533094 前言 这几天在看<javascrip ...
- zedgraph绘图(修改)
转自原文 zedgraph绘图(修改) 首先先下载 zedgraph.dll和zedgraph.web.DLL两个文件 添加项目并引用 首先添加一个用户控件 WebUserDrawGrap.ascx ...
- [转] c# 的传递参数值传递与传递引用的区别,ref与out区别
值传递 C#默认都是值传递的,就是复制变量的一个副本传递给方法,所以在退出方法后,对变量的修改无效. 但是要注意,当传递是引用类型时,因为引用类型是一个引用的地址,所以修改引用地址指向的对象时,一样会 ...