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<!DOCTYPE html>
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<div class="row mx-auto index-card">
<article class="col-12 col-md-12 mx-auto index-info">
<h1 class="index-header">
<a href="/2022/04/11/RDS-MySQL%E6%95%B0%E6%8D%AE%E6%81%A2%E5%A4%8D/" target="_self">
RDS MySQL数据恢复
</a>
</h1>
<p class="index-excerpt">
<a href="/2022/04/11/RDS-MySQL%E6%95%B0%E6%8D%AE%E6%81%A2%E5%A4%8D/" target="_self">
确保已安装 MySQL 版本与 RDS MySQL 版本相同。 环境准备安装 Percona XtraBackup： 对于MySQL 5.7、5.6或5.5实例，安装 Percona XtraBackup 2.4 在线安装： 12345678910yum install https://repo.percona.com/yum/percona-release-latest.noarch.rp
</a>
</p>
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<time datetime="2022-04-11 17:53" pubdate>
2022-04-11
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<i class="iconfont icon-category"></i>
<a href="/categories/%E6%95%B0%E6%8D%AE%E5%BA%93/">数据库</a>
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<a href="/tags/MySQL/">MySQL</a>
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</article>
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<div class="row mx-auto index-card">
<article class="col-12 col-md-12 mx-auto index-info">
<h1 class="index-header">
<a href="/2020/09/06/ES%E4%B8%AD%E7%9A%84%E7%B4%A2%E5%BC%95%E7%94%9F%E5%91%BD%E5%91%A8%E6%9C%9F%E7%AE%A1%E7%90%86/" target="_self">
ES中的索引生命周期管理
</a>
</h1>
<p class="index-excerpt">
<a href="/2020/09/06/ES%E4%B8%AD%E7%9A%84%E7%B4%A2%E5%BC%95%E7%94%9F%E5%91%BD%E5%91%A8%E6%9C%9F%E7%AE%A1%E7%90%86/" target="_self">
ILMILM ：索引生命周期管理，即 Manage the index lifecycle 。 使用ILM应确保集群中的所有节点运行的是同一个版本，不然无法保证他们会按预期工作。 索引生命周期索引的生命周期有四个阶段： Hot：索引更新和查询很活跃。 Warm：索引不再更新，但仍然有查询 Cold：索引不再更新，只有很少的查询，而且查询速度也很慢 Delete：索引不需要了，可以安全的删除
</a>
</p>
<div class="index-btm post-metas">
<div class="post-meta mr-3">
<i class="iconfont icon-date"></i>
<time datetime="2020-09-06 17:26" pubdate>
2020-09-06
</time>
</div>
<div class="post-meta">
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<a href="/tags/Elasticsearch/">Elasticsearch</a>
</div>
</div>
</article>
</div>
<div class="row mx-auto index-card">
<article class="col-12 col-md-12 mx-auto index-info">
<h1 class="index-header">
<a href="/2020/08/16/Elasticsearch%E8%87%AA%E5%AE%9A%E4%B9%89%E6%96%87%E6%A1%A3%E5%BE%97%E5%88%86%E5%B9%B6%E6%8E%92%E5%BA%8F/" target="_self">
Elasticsearch自定义文档得分并排序
</a>
</h1>
<p class="index-excerpt">
<a href="/2020/08/16/Elasticsearch%E8%87%AA%E5%AE%9A%E4%B9%89%E6%96%87%E6%A1%A3%E5%BE%97%E5%88%86%E5%B9%B6%E6%8E%92%E5%BA%8F/" target="_self">
大多数情况下，我们需要对查询结果排序，比方说按最新时间降序、按金额降序等。我们只需要对相应的字段 sort 即可。但有时候也会出现一些复杂的情况，比方说有A、B、C、D、E类数据，他想让你给这类数据重新定义优先级，按照B、E、D、A、C的顺序展示，并且每类数据内部按时间降序。然而最近我们也提出了一个类似这样的需求，查阅相关文档后，发现Elasticsearch里的function_socre函数可
</a>
</p>
<div class="index-btm post-metas">
<div class="post-meta mr-3">
<i class="iconfont icon-date"></i>
<time datetime="2020-08-16 19:21" pubdate>
2020-08-16
</time>
</div>
<div class="post-meta">
<i class="iconfont icon-tags"></i>
<a href="/tags/Elasticsearch/">Elasticsearch</a>
</div>
</div>
</article>
</div>
<div class="row mx-auto index-card">
<article class="col-12 col-md-12 mx-auto index-info">
<h1 class="index-header">
<a href="/2020/08/05/Elasticsearch%E4%B8%ADScript%E8%84%9A%E6%9C%AC%E6%89%A7%E8%A1%8C%E9%99%A4%E6%B3%95%E9%81%87%E5%88%B0%E7%9A%84%E9%97%AE%E9%A2%98/" target="_self">
Elasticsearch中Script脚本执行除法遇到的问题
</a>
</h1>
<p class="index-excerpt">
<a href="/2020/08/05/Elasticsearch%E4%B8%ADScript%E8%84%9A%E6%9C%AC%E6%89%A7%E8%A1%8C%E9%99%A4%E6%B3%95%E9%81%87%E5%88%B0%E7%9A%84%E9%97%AE%E9%A2%98/" target="_self">
最近有一个需求，需要修改ES文档中的金额，以前是以 元 为单位，现在要换算成以 万元 为单位，但并不是所有数据都需要做处理，有一个Excel存储着不需要处理的数据。我第一时间想到的就是用 Python 写一个脚本处理ES文档，噼里啪啦一顿操作之后，基本就实现了该功能。但是处理的结果并不是预期的那样。下面我简单的举一个例子来复现一下我所遇到的问题。 首先，创建一个索引 test , 12# 创建te
</a>
</p>
<div class="index-btm post-metas">
<div class="post-meta mr-3">
<i class="iconfont icon-date"></i>
<time datetime="2020-08-05 23:56" pubdate>
2020-08-05
</time>
</div>
<div class="post-meta">
<i class="iconfont icon-tags"></i>
<a href="/tags/Elasticsearch/">Elasticsearch</a>
</div>
</div>
</article>
</div>
<div class="row mx-auto index-card">
<article class="col-12 col-md-12 mx-auto index-info">
<h1 class="index-header">
<a href="/2019/01/01/%E4%BD%BF%E7%94%A8Python%E8%8E%B7%E5%8F%96%E5%BE%AE%E4%BF%A1%E5%A5%BD%E5%8F%8B%E5%B9%B6%E8%BF%9B%E8%A1%8C%E6%95%B0%E6%8D%AE%E5%88%86%E6%9E%90/" target="_self">
使用Python获取微信好友并进行数据分析
</a>
</h1>
<p class="index-excerpt">
<a href="/2019/01/01/%E4%BD%BF%E7%94%A8Python%E8%8E%B7%E5%8F%96%E5%BE%AE%E4%BF%A1%E5%A5%BD%E5%8F%8B%E5%B9%B6%E8%BF%9B%E8%A1%8C%E6%95%B0%E6%8D%AE%E5%88%86%E6%9E%90/" target="_self">
最近看到微信公众号推荐了些文章，有关于用Python爬取自己的微信好友，然后做了一些分析。其实之前我也有过这样的想法，一直没去实现。刚好今天元旦，回公司写了这么一个小项目。 其实获取微信好友很简单，有现成的模块直接使用，这是 itchat 的官网https://itchat.readthedocs.io/zh/latest/ 。首先通过 pip3 进行安装 1pip3 install itch
</a>
</p>
<div class="index-btm post-metas">
<div class="post-meta mr-3">
<i class="iconfont icon-date"></i>
<time datetime="2019-01-01 22:05" pubdate>
2019-01-01
</time>
</div>
<div class="post-meta">
<i class="iconfont icon-tags"></i>
<a href="/tags/Python/">Python</a>
</div>
</div>
</article>
</div>
<div class="row mx-auto index-card">
<article class="col-12 col-md-12 mx-auto index-info">
<h1 class="index-header">
<a href="/2018/12/25/%E8%AE%A9SQL%E9%A3%9E%E8%B5%B7%E6%9D%A5/" target="_self">
让SQL飞起来
</a>
</h1>
<p class="index-excerpt">
<a href="/2018/12/25/%E8%AE%A9SQL%E9%A3%9E%E8%B5%B7%E6%9D%A5/" target="_self">
作为一名JAVA开发者，对SQL的使用是必不可少的，当数量级别达到一定量的时候，一个好的SQL可以让程序跑的更顺畅。最近也不是很忙，就将双十一购买的这本《SQL进阶教程》阅读了前面一部分，给我的感受就是有种醍醐灌顶的感觉，也让我对SQL有了进一步的理解，里面的知识点很好的解决了在工作中经常会遇到的问题。下面是部分内容，推荐给大家。 使用高效的查询 参数是子查询时，使用EXISTS代替IN如果连接列
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<time datetime="2018-12-25 14:40" pubdate>
2018-12-25
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<a href="/categories/%E6%95%B0%E6%8D%AE%E5%BA%93/">数据库</a>
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<a href="/tags/MySQL/">MySQL</a>
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<a href="/2018/11/27/Redis%E5%AD%A6%E4%B9%A0%E7%AC%94%E8%AE%B0-%E6%8C%81%E4%B9%85%E5%8C%96/" target="_self">
Redis学习笔记---持久化
</a>
</h1>
<p class="index-excerpt">
<a href="/2018/11/27/Redis%E5%AD%A6%E4%B9%A0%E7%AC%94%E8%AE%B0-%E6%8C%81%E4%B9%85%E5%8C%96/" target="_self">
将数据从内存中以某种形式同步到硬盘中，使得重启后可以根据硬盘中的记录恢复数据，这一过程就是持久化。 Redis支持两种方式的持久化: RDB方式：根据指定规则“定时”将内存中的数据存储在硬盘上； AOF方式：每次执行命令后将命令本身记录下来。 一、RDB方式 RDB方式的持久化是通过快照(snapshotting)完成的，当完成一定条件时Redis会自动将内存中的所有数据生成一份副本并存储在
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<time datetime="2018-11-27 16:47" pubdate>
2018-11-27
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<i class="iconfont icon-category"></i>
<a href="/categories/%E6%95%B0%E6%8D%AE%E5%BA%93/">数据库</a>
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<a href="/tags/Redis/">Redis</a>
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<a href="/2018/11/26/Redis%E5%AD%A6%E4%B9%A0%E7%AC%94%E8%AE%B0-%E8%BF%9B%E9%98%B6%E7%AF%87/" target="_self">
Redis学习笔记---进阶篇
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</h1>
<p class="index-excerpt">
<a href="/2018/11/26/Redis%E5%AD%A6%E4%B9%A0%E7%AC%94%E8%AE%B0-%E8%BF%9B%E9%98%B6%E7%AF%87/" target="_self">
一、事务1.MULTI命令Redis中的事务( transaction )是一组命令的集合。一个事务中的命令要么都执行，要么都不执行。Redis通过 MULTI 开启事务，之后的命令将被存储在等待执行的事务队列中，使用 EXEC 命令将等待执行的事务队列中的所有命令按照发送顺序依次执行。EXEC 命令的返回值就是这些命令的返回值组成的列表。返回值顺序和命令的顺序相同。 123456789101
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<time datetime="2018-11-26 00:42" pubdate>
2018-11-26
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<a href="/categories/%E6%95%B0%E6%8D%AE%E5%BA%93/">数据库</a>
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<a href="/tags/Redis/">Redis</a>
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<a href="/2018/10/29/Redis%E5%AD%A6%E4%B9%A0%E7%AC%94%E8%AE%B0-%E6%95%B0%E6%8D%AE%E7%B1%BB%E5%9E%8B/" target="_self">
Redis学习笔记---数据类型
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</h1>
<p class="index-excerpt">
<a href="/2018/10/29/Redis%E5%AD%A6%E4%B9%A0%E7%AC%94%E8%AE%B0-%E6%95%B0%E6%8D%AE%E7%B1%BB%E5%9E%8B/" target="_self">
基础命令Redis 是 REmote DIctionary Server (远程字典服务器)的缩写，它以 字典结构 存储数据。现在我们来学习它的五种键值数据类型。学习之前先来了解几个基础命令。 先开启Redis服务： 1$ redis-server 接着开启Redis客户端： 1$ redis-cli 获取所有键： 1127.0.0.1:6379> KEYS * Redis
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<time datetime="2018-10-29 00:07" pubdate>
2018-10-29
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<a href="/categories/%E6%95%B0%E6%8D%AE%E5%BA%93/">数据库</a>
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<a href="/2018/10/24/Redis%E5%AD%A6%E4%B9%A0%E7%AC%94%E8%AE%B0-%E5%9F%BA%E7%A1%80%E4%B8%80/" target="_self">
Redis学习笔记---基础一
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</h1>
<p class="index-excerpt">
<a href="/2018/10/24/Redis%E5%AD%A6%E4%B9%A0%E7%AC%94%E8%AE%B0-%E5%9F%BA%E7%A1%80%E4%B8%80/" target="_self">
Redis简介Redis是一个开源的、高性能的、基于键值对的缓存与存储系统，通过提供多种键值数据类型来适应不同场景下的缓存与存储需求。同时Redis的诸多高层级功能使其可以胜任消息队列、任务队列等不同角色。 Redis的特性1.键值数据类型 字符串类型 散列类型 列表类型 集合类型 有序集合类型 2.内存存储于持久化Redis数据库中的所有数据都是存储在内存中。由于内存的读写速度远快于硬盘，因此
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