From 00a4f619900cc946e71c2f01cf40a1c56d69075f Mon Sep 17 00:00:00 2001 From: Vladimir Protsenko Date: Thu, 8 Feb 2024 23:40:19 +0400 Subject: [PATCH] 2024 --- L4 - ZooKeeper/L4_Zookeeper.md | 684 --------------------------------- L4 - ZooKeeper/hints.md | 56 --- L4 - ZooKeeper/images/1_.png | Bin 22938 -> 0 bytes L4 - ZooKeeper/images/2_.png | Bin 114045 -> 0 bytes L4 - ZooKeeper/images/3_.png | Bin 151824 -> 0 bytes README.md | 20 +- 6 files changed, 8 insertions(+), 752 deletions(-) delete mode 100644 L4 - ZooKeeper/L4_Zookeeper.md delete mode 100644 L4 - ZooKeeper/hints.md delete mode 100644 L4 - ZooKeeper/images/1_.png delete mode 100644 L4 - ZooKeeper/images/2_.png delete mode 100644 L4 - ZooKeeper/images/3_.png diff --git a/L4 - ZooKeeper/L4_Zookeeper.md b/L4 - ZooKeeper/L4_Zookeeper.md deleted file mode 100644 index d674a94..0000000 --- a/L4 - ZooKeeper/L4_Zookeeper.md +++ /dev/null @@ -1,684 +0,0 @@ -# Введение - -Крупномасштабным распределённым приложениям требуются различные формы синхронизации для достижения консенсуса о базовой информации окружения. Выделение примитивов синхронизации в API позволяет выделить ядро координации из логики приложения в отдельный сервис. Являясь частью критической инфраструктуры, к такому сервису предъявляются в первую очередь требования надёжности и доступности. Подобный дизайн делает разработку и поддержку распределённого приложения проще. - -ZooKeeper является проектом с открытым исходным кодом, который предоставляет отказоустойчивый распределённый сервис хранения критичных для работы кластера данных. Хранимыми данными могут быть: конфигурационная информация, иерархическое пространство имён, url ссылки, идентификаторы задач и прочее. ZooKeeper, созданный для внутренних нужд компании Yahoo!”, в настоящее время стал использоваться такими открытыми технологиями, как: Apache HBase, HDFS, Apache Storm, Apache Kafka и др. - -Сайт проекта http://zookeeper.apache.org/. -Статья: Hunt P. et al. ZooKeeper: Wait-free Coordination for Internet-scale Systems //USENIX annual technical conference. – 2010. – Т. 8. – №. 9. - - -# Цель работы - -- запустить ZooKeeper, -- изучить директорию с установкой ZooKeeper, -- запустить интерактивную сессию ZooKeeper CLI и освоить её команды, -- научиться проводить мониторинг ZooKeeper, -- разработать приложение с барьерной синхронизацией, основанной на ZooKeeper, -- запустить и проверить работу приложения. - -Данная лабораторная может выполняться на виртуальной машине создаваемой по Vagrant конфигурации в приложении А или с ZooKeeper, установленным в Windows. - -  -# Изучение ZooKeeper -## Установка - -Данный шаг может быть пропущен, если вы будете работать с Vagrant. - -Перейдите на страницу Download на официальном сайте https://zookeeper.apache.org/ и скачайте последнюю стабильную версию (на момент написания 3.4.14). - -Архив содержит скрипты как для Windows, так и для Unix операционных систем. Необходимым условием для работы Zookeeper является наличие в системе Java Runtime Environment. - -Распакуйте архив в директорию `С:\Temp` в Windows. Если вы используете Unix систему, распакуйте и переместите содержимое архива в `/opt`. Набор команд, устанавливающих ZooKeeper в CentOS 7, вы можете найти в Vagrantfile из приложения А. - -Перед первым запуском переименуйте файл `zoo_sample.cfg` в директории `conf` в `zoo.cfg`. Файл `zoo.cfg`, который на данный момент содержит базовые настройки, используется для конфигурации сервера. - -*Примечание.* В Windows системе в `Панель управления\Система и безопасность\Система -> Дополнительные параметры системы -> Переменные среды` можно установить `JAVA_HOME`, если она не была сконфигурирована вами или администратором после установки Java в систему. - -## Запуск -### Windows -В Windows запустите сервер двойным кликом по скрипту `zkServer.cmd` в папке `./bin/` или из терминала, набрав: - -``` -zkServer.cmd -``` - -### Linux - -``` -zkServer.sh -``` - -Проверьте, что zookeeper работает - -``` -systemctl status zookeeper -``` - -## Изучение директории установки ZooKeeper - -Перейдите в директорию установки ZooKeeper. - -Изучите содержимое директории. - - - -В директории находятся следующие папки: - -- bin с исполняемыми файлами для запуска, остановки и взаимодействия с ZooKeeper, -- conf с конфигурационными файлами, -- contrib с инструментами для интеграции ZooKeeper в другие системы: rest, fuse, perl и python библиотеки, -- dist-maven артефакты Maven, -- docs в которой хранится документация, -- recipes различные рецепты, помогающие решать задачи с использованием ZooKeeper (выбор лидера, блокировки, очереди), -- src с исходным кодом и тестовыми скриптами. - -## Взаимодействие с ZooKeeper через командный интерфейс CLI - -Одним из способов взаимодействия с ZooKeeper является консольный интерфейс ZooKeeper CLI. В реальных задачах вы скорее всего будете использовать ZooKeeper клиентскую библиотеку, однако взаимодействие через CLI является прекрасной возможностью изучить систему и также полезно для ряда задач. - -Прежде всего нам понадобится перейти в папку bin директории установки ZooKeeper. - -Для запуска интерактивной сессии ZooKeeper CLI используйте скрипт zkCli с расширением в зависимости от той среды, в который вы его запускаете (sh - unix, cmd - windows). - - - -Следующая команда устанавливает подключение к ZooKeeper CLI сессии: -``` -./zkCli.sh -server 127.0.0.1:2181 -``` - - -*Примечание.* При запуске zkCli.sh без параметров по умолчанию подключение производится к localhost:2181, поэтому явно указанные выше параметры вы можете опустить. - -Подключение установлено. Для вывода всех возможных команд наберите help. - -``` -[zk: localhost:2181(CONNECTED) 0] help -ZooKeeper -server host:port -client-configuration properties-file cmd args - addWatch [-m mode] path # optional mode is one of [PERSISTENT, PERSISTENT_RECURSIVE] - default is PERSISTENT_RECURSIVE - addauth scheme auth - close - config [-c] [-w] [-s] - connect host:port - create [-s] [-e] [-c] [-t ttl] path [data] [acl] - delete [-v version] path - deleteall path [-b batch size] - delquota [-n|-b|-N|-B] path - get [-s] [-w] path - getAcl [-s] path - getAllChildrenNumber path - getEphemerals path - history - listquota path - ls [-s] [-w] [-R] path - printwatches on|off - quit - reconfig [-s] [-v version] [[-file path] | [-members serverID=host:port1:port2;port3[,...]*]] | [-add serverId=host:port1:port2;port3[,...]]* [-remove serverId[,...]*] - redo cmdno - removewatches path [-c|-d|-a] [-l] - set [-s] [-v version] path data - setAcl [-s] [-v version] [-R] path acl - setquota -n|-b|-N|-B val path - stat [-w] path - sync path - version - whoami -``` - -Выйти из консоли вы можете с помощью команды quit или отправив EOF символ сочетанием Ctrl+D. - -Далее последует изучение возможностей CLI интерфейса. Вы научитесь добавлять и удалять разные типы узлов znode, считывать и записывать данные в znode из CLI, разбираться в управлении конфигурациями на базовых примерах. - -Находясь в консоли CLI введите команду `ls /`. - -``` -[zk: localhost:2181(CONNECTED) 2] ls / -[zookeeper] -``` - -В результе вы должны получить список узлов в корне иерархической структуры данных ZooKeeper. В данном случае выводится один узел. Аналогично вы можете изучать некорневые узлы. Выведите список дочерних узлов `/zookeeper`. - -*Примечание.* Используйте автоматическое дополнение при наборе, срабатываемое по нажатию клавиши TAB. - -Теперь в корне создайте свой узел `/mynode` с данными "first_version" следующей командой: -``` -create /mynode 'first_version' -``` -Проверьте, что в корне появился новый узел. - -``` -[zk: localhost:2181(CONNECTED) 4] ls / -[mynode, zookeeper] -``` - -Следующие команды возвращают данные и метаданные узла: -``` -get /mynode -stat /mynode -``` - -``` -[zk: localhost:2181(CONNECTED) 10] get /mynode -first_version - -[zk: localhost:2181(CONNECTED) 13] stat /mynode -cZxid = 0x2 -ctime = Wed Sep 01 10:51:29 SAMT 2021 -mZxid = 0x2 -mtime = Wed Sep 01 10:51:29 SAMT 2021 -pZxid = 0x2 -cversion = 0 -dataVersion = 0 -aclVersion = 0 -ephemeralOwner = 0x0 -dataLength = 13 -numChildren = 0 -``` - -Изучим структуру, хранимую в узле - -|Поле | Описание | -| ----| ----| -|'first_version'| Хранимые данные| -|cZxid| Номер транзакции создания узла в системе| -|ctime| Время создания узла| -|mZxid| Номер транзакции модификации узла| -|mtime| Время модификации узла| -|pZxid| Номер транзакции модификации дочерних узлов| -|cversion| Количество изменений дочерних узлов| -|dataVersion| Количество изменений данных узла| -|aclVersion| Количество изменений прав доступа к данному узлу| -|ephemeralOwner| Идентификатор сессии владельца узла, если узел эфимерный. Иначе значение равно нулю.| -|dataLength| Размер данных| -|numChildren| Количество дочерних узлов| - -Измените данные узла на "second_version": -``` -set /mynode 'second_version' -``` - -``` -[zk: localhost:2181(CONNECTED) 15] get /mynode -second_version - -[zk: localhost:2181(CONNECTED) 16] stat /mynode -cZxid = 0x2 -ctime = Wed Sep 01 10:51:29 SAMT 2021 -mZxid = 0x3 -mtime = Wed Sep 01 10:56:11 SAMT 2021 -pZxid = 0x2 -cversion = 0 -dataVersion = 1 -aclVersion = 0 -ephemeralOwner = 0x0 -dataLength = 14 -numChildren = 0 -``` - -В качестве результата мы получим обновлённые метаданные узла. Обратите внимание на те значения, которые изменились. - -Изменилась дата модификации `mtime` и значение поля `dataVersion` стало больше на единицу, так как мы провели одно изменение. Также изменился размер данных. - -Теперь создайте два нумерованных (sequential) узла в качестве дочерних mynode: -``` -create -s /mynode/child 'im_sequential' -create -s /mynode/child 'me_too' -``` - -``` -[zk: localhost:2181(CONNECTED) 17] create -s /mynode/child 'im_sequential' -Created /mynode/child0000000000 -[zk: localhost:2181(CONNECTED) 18] create -s /mynode/child 'me_too' -Created /mynode/child0000000001 -``` - -Передав дополнительно флаг -s, мы указали, что создаваемый узел нумерованный. Этот способ позволяет создавать узлы с уникальными именами, по которым можно узнать порядок поступления запросов на сервер. - -*Пример.* Принадлежность клиентов к группе - -Несмотря на то, что ZooKeeper используется, как правило, из программного кода, мы можем эмулировать простой сценарий мониторинга принадлежности клиентов к группе в CLI. - -В данном примере в корне zookeeper файловой системы будет создан узел под именем mygroup. Затем несколько сессий CLI будут эмулировать клиентов, добавляющих себя в эту группу. Клиент будет добавлять эфимерный узел в mygroup иерархию. При закрытии сессии узел автоматически будет удаляться. - -*Примечание.* При использовании Vagrant управляемой виртуальной машины из VisualCode создайте несколько терминалов и установите ssh соединение в каждом командой `vagrant ssh`. - -Этот сценарий может применяться для реализации сервиса разрешения имён (DNS) узлов кластера. Каждый узел регистрирует себя под своим именем и сохраняет свой url или ip адрес. Узлы, которые временно недоступны или аварийно завершили работу, в списке отсутствуют. Таким образом директория хранит актуальный список работающих узлов с их адресами. - -Внутри CLI сессии, создайте узел mygroup. - -``` -create /mygroup 'top_node' -``` - -Откройте две новых CLI консоли и в каждой создайте по дочернему узлу в mygroup: - -*Примечание.* Удобный способ открыть CLI консоль в windows `Shift + Правая кнопка мыши -> Открыть окно PowerShell здесь` в директории zookeeper, затем выполнить `bin/zkCli.cmd`. - -Консоль 1 - grue. -``` -create -e /mygroup/grue 'iam_grue' -``` -Консоль 2 - bleen. -``` -create -e /mygroup/bleen 'iam_bleen' -``` -Эфимерный тип узла задаётся ключом `-e`. - -Проверьте в исходной консоли, что grue и bleen являются членами группы mygroup. - -![](images/1_.png) - - -Представим теперь, что одному из клиентов нужна информация о другом клиенте (к качестве клиентов могут выступать узлы кластера). Этот сценарий эмулируется получением информации командой `get`, которую мы уже запускали ранее. Выберите консоль grue и обратитесь к информации узла bleen. - -``` -get /mygroup/bleen -``` - -Информацией, которая хранится в узле клиента может быть url адрес клиента, либо любая другая информация требуемая для работы распределённого приложения. - -Теперь эмулируйте аварийное отключение любого клиента. Нажмите сочетание клавиш Ctrl+D в одной из консолей, создавшей эфимерный узел. - -Проверьте, что соответствующий узел пропал из mygroup. Изменение списка дочерних узлов может произойти не сразу — от 2 до 20 `tickTime`, значение которого вы можете посмотреть в `zoo.cfg`. - -``` -[zk: localhost:2181(CONNECTED) 53] ls /mygroup -[bleen, grue] -[zk: localhost:2181(CONNECTED) 54] ls /mygroup -[bleen, grue] -[zk: localhost:2181(CONNECTED) 55] ls /mygroup -[bleen, grue] -[zk: localhost:2181(CONNECTED) 56] ls /mygroup -[bleen, grue] -[zk: localhost:2181(CONNECTED) 57] ls /mygroup -[bleen, grue] -[zk: localhost:2181(CONNECTED) 58] ls /mygroup -[bleen, grue] -[zk: localhost:2181(CONNECTED) 59] ls /mygroup -[bleen, grue] -[zk: localhost:2181(CONNECTED) 60] ls /mygroup -[bleen] -[zk: localhost:2181(CONNECTED) 61] -``` - -Таким образом клиенты могут получать информацию о появлении и отключении других клиентов. - -В заключении удалите узел `/mygroup`. - -``` -delete /mygroup -``` - -### Пример управления конфигурацией распределённого приложения - -Хранение конфигурационной информации в ZooKeeper одно из наиболее популярных приложений. Мы будем эмулировать данную концепцию также с помощью CLI. - -Использование ZooKeeper для хранения конфигурационной информации имеет два преимущества. Первое состоит в том, что новые клиенты могут узнавать конфигурацию кластера и определять свою роль самостоятельно. Второе преимущество заключается в возможности подписки на обновление конфигурационных параметров. Это позволяет динамически реагировать на изменения в конфигурации во время выполнения, что необходимо в режиме работы 24/7. - -Создадим в корне узел "myconfig" в задачу которого будет входить хранение конфигурации. В нашем случае узел будет хранить строку `'sheep_count=1'`. - - - -Во всех случаях, когда конфигурационная информация нашего гипотетического распределённого приложения будет изменяться, мы будем обновлять znode строкой с новым значением. Другим клиентам распределённого приложения достаточно проверять хранимые в этом узле данные. - -Откройте новую консоль и подключитесь к ZooKeeper. Данная консоль будет играть роль физического сервера, который ожидает получить оповещение в случае изменения конфигурационной информации, записанной в `/myconfig` znode. - - - -Следующая команда устанавливает watch-триггер на узел: - -``` -get /myconfig -w true -``` - -Вернитесь к первому терминалу и измените значение myconfig: - -``` -set /myconfig 'sheep_count=2' -``` - -Во втором терминале должно появиться оповещение об изменении данных! - -``` -[zk: localhost:2181(CONNECTED) 87] -WATCHER:: - -WatchedEvent state:SyncConnected type:NodeDataChanged path:/myconfig -``` - -Триггер сбрасывается после одного срабатывания, а значит его придётся 'взводить' каждый раз заново. Как правило, в приложении, в логике обработчика события присутствует такая процедура. - -Удалите узел `/myconfig`. Проверьте, что эта команда выполнилась. - -Примеры приложений: -- Эфимерные узлы в сочетании возможностью быть нумерованными позволяют реализовать механизм аварийного переключения https://ru.wikipedia.org/wiki/Аварийное_переключение, производить выбор лидера, обеспечивать координацию доступа к ресурсам. -- Асинхронная передача и рассылка сообщений. - -Другие примеры использования ZooKeeper https://zookeeper.apache.org/doc/r3.4.5/recipes.html. - - -## Мониторинг ZooKeeper - -ZooKeeper позволяет проводить мониторинг его состояния с использованием 4 буквенных команд: `conf`, `cons`, `stat` и других. Полный список команд доступен по адресу https://zookeeper.apache.org/doc/r3.7.0/zookeeperAdmin.html#sc_4lw . - -**Примечание. С коммита https://github.com/apache/zookeeper/commit/5fe68506f217246c7ebd96803f9c78e13ec2f11a Zookeeper 4-буквенные команды отключены по умолчанию. Вы можете их включить при запуске сервера с параметром JVM `-Dzookeeper.4lw.commands.whitelist=*`.** - -Команды можно отправлять на сервер из linux терминала с помощью утилит `echo` и `netcat`. Для некоторых linux систем `netcat` может быть вызван по сокращённому имени `nc`. Синтаксис команды: - -``` -echo <команда> | nc <имя или адрес хоста zookeeper> <порт> -``` - -В Windows вы можете установить подключение к zookeeper командой telnet - -``` -telnet <имя или адрес хоста zookeeper> <порт> -``` - -Для следующей команды сервер должен прислать ответ "imok", если он функционирует и доступен: - -``` -echo ruok | nc localhost 2181 -``` - -Узнать версию zookeeper позволяет следующая команда: - -``` -echo stat | nc localhost 2181 -``` - -Следующая команда возвращает конфигурационные параметры ZooKeeper сервера: - -``` -echo conf | nc localhost 2181 -``` - - -После выполнения распечатываются следующие параметры: -- порт клиента (`clientPort`), -- путь к директории, где хранятся данные (`dataDir`), -- путь к директории, где хранятся логи сервера (`dataLogDir`), -- интервал часов, указанный миллисекундах (`tickTime`), -- максимальное количество подключений к серверу (`maxClientCnxns`), -- минимальный и максимальный таймаут сессии (`minSessionTimeout`, `maxSessionTimeout`), -- идентификатор сервера. - -Вышеперечисленные параметры могут быть указана в конфигурационном файле в директории conf (полный путь `/opt/ibm/biginsights/zookeeper/conf/`). - -Отправьте команду `cons` для получения списка подключений всех клиентов с детальной информацией о сессиях. - -``` -echo cons | nc localhost 2181 -``` - - -Команды cons и conf дают детальную информацию. Для получения более общей информации используйте stat. - -``` -echo stat | nc localhost 2181 -``` - - -В распределённом варианте работы ZooKeeper команду dump для вывода текущих сессий и связанных с ними эфимерных узлов следует выполнять на узле-лидере. В текущей лабораторной работе все данные будут связаны с локально выполняемыми клиентскими процессами. - -``` -echo dump | nc localhost 2181 -``` - - -Для того, чтобы посмотреть информацию о watch-триггерах используйте команду wchs: - -``` -echo wchs | nc localhost 2181 -``` - - -Существуют и другие команды, найти которые вы можете в документации по администрированию ZooKeeper (Administrator's Guide). - -На этом первая часть работы завершена. -  -# Разработка распределённого приложения - -ZooKeeper поставляется с двумя клиентами для языков C и Java. В текущей лабораторной мы будем использовать Java API для реализации приложения с барьерной синхронизацией. Аналогия с животными и зоопарком позволит лучше понять концепты ZooKeeper. - -Вы создадите зоопарк, который будет представлен корневым узлом `/zoo/`. Каждое животное, ваше приложение, будет входить в зоопарк, оно будет создавать дочерний эфимерный узел в зоопарке со своим именем. После того, как все животные будут в сборе, каждое начнёт бежать и остановится через определённый период времени. В конце приложения эфимерные узлы будут явно удалены. - -## Настройка среды и проекта - -Разработка распределённого приложения будет вестись на языке Scala в IDE IntelliJ Idea. - -Создайте новый проект SBT аналогично тому, как это делалось в лабораторной работе 4. Дождитесь когда SBT инициализирует проект. Это может занять несколько минут. - -Добавьте в качестве зависимости библиотеку ZooKeeper в `build.sbt` как `provided`. Определите версию ZooKeeper. Координаты библиотеки соответствующей версии вы можете найти в https://mvnrepository.com/. - -![](images/2_.png) - -*Примечание.* При указании zookeeper зависимости может потребоваться исключения из зависимостей: `com.sun.jdmk`, `com.sun.jmx`, `javax.jms`. - -## Реализация логики приложения - -Инициализируйте пакет `zoo` в папке `src/main/scala/`. - -В пакете `zoo` создайте scala объект `Main` и поместите туда следующий код. - -```scala -package zoo - -object Main { - val sleepTime = 100 - - def main(args: Array[String]): Unit = { - println("Starting animal runner") - - val Seq(animalName, hostPort, partySize) = args.toSeq - - val animal = Animal(animalName, hostPort, "/zoo", partySize.toInt) - - try { - - } catch { - case e: Exception => println("Animal was not permitted to the zoo. " + e) - } - } -} -``` - -Этот код объявляет главный класс с методом `main`. Программа ожидает в качестве аргументов список: имя животного, адрес и порт zookeeper, размер группы животных. Далее следует создание объекта `Animal` на основе параметров: имя животного, адрес и порт zookeeper, путь к корневому узлу для узлов животных, величина группы животных. В конце метода main располагается try/catch блок, в котором будет выполняться код взаимодействующий с ZooKeeper. - -*Примечание.* Приём, с помощью которого присваиваются списку имён переменных соответствующие значения списка аргументов, называется "сопоставление по шаблону" (pattern matching). - -Нашей следующей задачей будет реализация класса `Animal` и заполнение тела try блока. - -В методе enter объект `Animal` должен связываться с ZooKeeper, создавать эфимерный узел с именем `animalName` и подписываться на обновления группы `/zoo`. - -```scala -animal.enter() -println(s"${animal.name} entered.") -``` - -Напишите цикл, в котором с интервалом sleepTime в миллисекундах печатается сообщение о работе процесса. Количество итераций может быть случайным. - -```scala -for (i <- 1 to Random.nextInt(100)) { - Thread.sleep(sleepTime) - println(s"${animal.name} is running...") -} - -animal.leave() -``` - -Перейдём к реализации класса Animal. Для удобства обращения к полям класса будем использовать case class. Инициализация Animal заключается в установлении соединения с ZooKeeper, определении переменных mutex и animalPath. - -```scala -package zoo - -import org.apache.zookeeper._ - -case class Animal(name:String, hostPort:String, root:String, partySize:Integer) extends Watcher { - val zk = new ZooKeeper(hostPort, 3000, this) - val mutex = new Object() - val animalPath = root+"/"+name - - if (zk == null) throw new Exception("ZK is NULL.") -} -``` - -Для реакции на события от ZooKeeper класс должен реализовывать метод process интерфейса Watcher. - -```scala -override def process(event: WatchedEvent): Unit = { - // код реакции на событие -} -``` - -Так как обработка событий и проверка условия барьера выполняются в разных потоках нам понадобится выполнять код методов в синхронизованном блоке. Синхронизация в Scala похожа на Java и выполняется на объекте-мьютексе. Ниже приведён пример блока синхронизации. - -```scala -mutex.synchronized { - // код -} -``` - -Реализуем простую реакцию $-$ вывод на экран события. - -```scala -override def process(event: WatchedEvent): Unit = { - mutex.synchronized { - println(s"Event from keeper: ${event.getType}") - } -} -``` - -Далее перейдём к реализации метода enter. - -```scala -def enter():Boolean = { - // код создания узла и ожидания у барьера -} -``` - -В начале метода создайте эфимерный узел. - -```scala -zk.create(animalPath, Array.emptyByteArray, ZooDefs.Ids.OPEN_ACL_UNSAFE, CreateMode.EPHEMERAL) -``` - -Затем в синхронизованном блоке в цикле напишите код, ожидающий появления в корневом узле `/zoo` всех животных. - -```scala -mutex.synchronized { - while (true) { - val party = zk.getChildren(root, this) - if (party.size() < partySize) { - println("Waiting for the others.") - mutex.wait() - println("Noticed someone.") - } else { - return true - } - } - } - return false -} -``` - -Реализуйте оставшийся метод, который вызывается в конце приложения и удаляет созданный в начале эфимерный узел с помощью метода `delete`. - -## Проверка работоспособности приложения - -Запустите несколько клиентов распределённого приложения и проверьте его работу. - -![](images/3_.png) - -*Примечание.* Перед запуском создайте корневой узел животных `/zoo`, если он ещё не создан. - -*Примечание.* Убедитесь, что библиотеки, которые используются проектом (zookeeper, log4j и другие) находятся в области видимости `CLASSPATH`. Окружения этапов компиляции, тестирования и исполнения как правило различны. - -## Упражнения - -С использованием Zookeeper сервиса: - -1. Решите проблему обедающих философов (каждый философ - отдельный процесс в системе) -2. Реализуйте двуфазный коммит протокол для high-available регистра (каждый регистр - отдельный процесс в системе) - - -# Приложение А. Инициализация виртуальной машины с помощью Vagrant - -Для работы Vagrant необходим гипервизор Oracle VM VirtualBox. Для инициализации виртуальной машины поместите следующие файлы в пустую папку, находясь в ней откройте терминал и запустите команду `vagrant up`. - -Vagrantfile -```Vagrantfile -# -*- mode: ruby -*- -# vi: set ft=ruby : - - -# All Vagrant configuration is done below. The "2" in Vagrant.configure -# configures the configuration version (we support older styles for -# backwards compatibility). Please don't change it unless you know what -# you're doing. -Vagrant.configure("2") do |config| -# The most common configuration options are documented and commented below. -# For a complete reference, please see the online documentation at -# https://docs.vagrantup.com. - - -# Every Vagrant development environment requires a box. You can search for -# boxes at https://vagrantcloud.com/search. -config.vm.box = "centos/7" -# config.vm.provider "virtualbox" do |vb| -# # Display the VirtualBox GUI when booting the machine -# vb.gui = true -# -# # Customize the amount of memory on the VM: -# vb.memory = "1024" -# end -# -# View the documentation for the provider you are using for more -# information on available options. - - -# Enable provisioning with a shell script. Additional provisioners such as -# Puppet, Chef, Ansible, Salt, and Docker are also available. Please see the -# documentation for more information about their specific syntax and use. -config.vm.provision "file", source: "zookeeper.service", destination: "zookeeper.service" -config.vm.provision "shell", inline: <<-SHELL -yum install nc -y -yum install java-11-openjdk -y -yum install wget -y -wget http://apache-mirror.rbc.ru/pub/apache/zookeeper/zookeeper-3.4.14/zookeeper-3.4.14.tar.gz -tar zxf zookeeper-3.4.14.tar.gz -mv zookeeper-3.4.14 /opt/ -cp /opt/zookeeper-3.4.14/conf/zoo_sample.cfg /opt/zookeeper-3.4.14/conf/zoo.cfg -mv zookeeper.service /etc/systemd/system/zookeeper.service -chmod 664 /etc/systemd/system/zookeeper.service -systemctl start zookeeper -SHELL -end - -zookeeper.service - -[Unit] -Description=Zookeeper -After=syslog.target - -[Service] -SyslogIdentifier=zookeeper -TimeoutStartSec=10min -Type=forking -ExecStart=/opt/zookeeper-3.4.14/bin/zkServer.sh start -ExecStop=/opt/zookeeper-3.4.14/bin/zkServer.sh stop - -[Install] -WantedBy=multi-user.target -``` - -# Дополнительные ссылки - -1. https://www.youtube.com/c/DistributedSystemsCourse -2. https://www.youtube.com/c/lindseykuperwithasharpie -3. https://lamport.azurewebsites.net/video/videos.html (recent talk: https://www.youtube.com/watch?v=Ocxczi-CvRQ) -4. https://hydraconf.com/ (free talks: https://www.youtube.com/channel/UCcwI0q9tsGZYZDvz5mLsXZA) -5. Lynch, Nancy A. Distributed Algorithms. 1996. https://dl.acm.org/doi/book/10.5555/2821576 -6. Martin Kleppmann. Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems -7. Alex Petrov. Database Internals: A Deep Dive Into How Distributed Data Systems Work. diff --git a/L4 - ZooKeeper/hints.md b/L4 - ZooKeeper/hints.md deleted file mode 100644 index df5b830..0000000 --- a/L4 - ZooKeeper/hints.md +++ /dev/null @@ -1,56 +0,0 @@ -# Подсказки к упражениям - -## Двухфазный коммит протокол на основе ZooKeeper -На основе материалов: https://zookeeper.apache.org/doc/r3.4.2/recipes.html#sc_recipes_twoPhasedCommit и https://stackoverflow.com/questions/24635777/how-to-implement-2pc-in-zookeeper-cluster - -[![IMAGE_ALT](https://img.youtube.com/vi/yu2TZF7S1Mg/3.jpg)](https://youtu.be/yu2TZF7S1Mg?t=964) - -Протокол двухфазной коммита — это алгоритм, позволяющий всем клиентам в распределенной системе договориться либо о коммите транзакции, либо о ее откате. - -Взаимодействующие компоненты: -- создатель транзакции, -- координатор транзакции, -- исполнители транзакции, -- zookeeper, -- (опционально) прямой канал связи создателя транзакции и координатора, -- (опционально) прямые каналы связи между координатором и исполнителями. - -### Вариант 1. - -В ZooKeeper вы можете реализовать двухфазный коммит протокол, если координатор создаст узел транзакции, скажем "/app/Tx", и один дочерний узел для каждого исполнителя транзакции, скажем "/app/Tx/node_i". Когда *координатор* создает дочерний узел, он оставляет его содержимое неопределенным. - -Первая фаза: - -Как только каждый исполнитель, участвующий в транзакции, получает транзакцию от координатора, исполнитель читает каждый дочерний узел "node_i" и подписывается на события изменения транзакционного узла. Затем каждый исполнитель обрабатывает запрос и принимает решение "commit" или "abort", записывая данные в свой узел. - -Вторая фаза: - -Как только запись завершается, другие исполнители получают уведомление, и как только все исполнители получат все голоса, они могут принять решение либо "commit", либо "abort". Обратите внимание, что узел может принять решение абортировать транзакцию раньше, если какой-либо исполнитель проголосует за "abort". - -Интересным аспектом этой реализации является то, что единственная роль координатора заключается в определении группы исполнителей, создании узлов ZooKeeper и распространении транзакции на соответствующим исполнителям. Фактически, даже распространение транзакции может быть сделано через ZooKeeper путем записи в узле транзакции. - -У описанного выше подхода есть два важных недостатка: -— это сложность сообщений, которая составляет O(n²). -— невозможность обнаружения аварийного завершения исполнителей. - -Для решения первой проблемы можно сделать так, чтобы об изменениях в узлах транзакций уведомлялся только координатор, а затем уведомлять исполнителей, как только координатор примет решение. Обратите внимание, что этот подход остаётся масштабируемым, но он медленнее, поскольку требует, чтобы все коммуникации проходили через координатора. - -Для решения второй проблемы можно сделать так, чтобы координатор распространял транзакцию исполнителям, а каждый исполнитель создавал свой собственный эфемерный узел. - -### Вариант 2. - -1. Координатор C регистрирует транзакционный узел /app/tx - -Первая фаза: - -2. Координатор уведомляет исполнителей о транзакции -3. Координатор подписывается на изменения транзакционного узла (устанавливает WATCH на /app/tx) -4. Каждый исполнитель создает эфемерных узел /app/tx/node_i с решением commit/abort -5. Исполнитель подписывается на события своего узла для получения решения от координатора ( вторая фаза ) - -Вторая фаза: - -6. Координатор принимает решение о commit/abort после ожидания таймаута или после создания всех узлов исполнителей с решением commit -7. Координатор изменяет значение эфемерных узлов для каждого исполнителя на commit / abort -8. Исполнители применяют / прерывают транзакцию -9. 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