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‎deploy.sh‎

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#!/usr/bin/env sh
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# 确保脚本抛出遇到的错误
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set -e
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# 生成静态文件
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npm run docs:build
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# 进入生成的文件夹
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cd docs/.vuepress/dist
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# 如果是发布到自定义域名
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echo 'www.starfish.ink' > CNAME
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git init
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git add -A
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git commit -m 'deploy'
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# 如果发布到 https://<USERNAME>.github.io
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git push -f git@github.com:Jstarfish/Jstarfish.github.io.git master
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# 如果发布到 https://<USERNAME>.github.io/<REPO>
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#git push -f git@github.com:Jstarfish/JavaKeeper.git master:gh-pages
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cd -

‎docs/.vuepress/config.js‎

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{
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title: " Zookeeper",
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collapsable: true,
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// children: [
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// "JUC/Java-Memory-Model",
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// "JUC/CountDownLatch、CyclicBarrier、Semaphore"
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// ]
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children: [
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['ZooKeeper/Consistency-Protocol','分布式一致性协议'],
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['ZooKeeper/Hello-Zookeeper','Hello Zookeeper'],
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['ZooKeeper/Zookeeper-Use','Zookeeper 实战'],
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]
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},
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{
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title: "RPC",

‎docs/.vuepress/dist‎

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Subproject commit 26a1ebf31074e1abc50d6f36c12e2a5930ad8463
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Subproject commit ff5f441fa08043d7f8e7297172cac10416fea6cd

‎docs/distribution/ZooKeeper/Consistency-Protocol.md‎

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## 「分布式一致性协议」从2PC、3PC、Paxos到 ZAB
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# 「分布式一致性协议」从2PC、3PC、Paxos到 ZAB
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设计一个分布式系统必定会遇到一个问题—— **因为分区容忍性（partition tolerance）的存在，就必定要求我们需要在系统可用性（availability）和数据一致性（consistency）中做出权衡** 。这就是著名的 `CAP` 定理。
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‎docs/distribution/ZooKeeper/Hello-Zookeeper.md‎

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不懂 ZooKeeper？没关系，这一篇给你讲的明明白白
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# 不懂 ZooKeeper？没关系，这一篇给你讲的明明白白
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> 本来想系统回顾下 ZooKeeper的，可是网上没找到一篇合自己胃口的文章，写的差不多的，感觉大部分都是基于《从Paxos到ZooKeeper 分布式一致性原理与实践》写的，所以自己读了一遍，加上项目中的使用，做个整理。加油，奥利给！
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‎docs/distribution/ZooKeeper/Zookeeper-FAQ.md‎

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