<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[FSWZYC的博客]]></title><description><![CDATA[]]></description><link>https://blog.youkuaiyun.com/FSWZYC</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; FSWZYC]]></copyright><item><title><![CDATA[kafka map kafka可视化工具]]></title><link>https://blog.youkuaiyun.com/FSWZYC/article/details/135346308</link><guid>https://blog.youkuaiyun.com/FSWZYC/article/details/135346308</guid><author>FSWZYC</author><pubDate>Tue, 02 Jan 2024 17:58:03 +0800</pubDate><description><![CDATA[kafka可视化工具。]]></description><category></category></item><item><title><![CDATA[jsva json字符串 XML互转]]></title><link>https://blog.youkuaiyun.com/FSWZYC/article/details/135108749</link><guid>https://blog.youkuaiyun.com/FSWZYC/article/details/135108749</guid><author>FSWZYC</author><pubDate>Wed, 20 Dec 2023 15:09:38 +0800</pubDate><description><![CDATA[【代码】jsva json字符串 XML互转。]]></description><category></category></item><item><title><![CDATA[apisix 自定义lua插件 webservice转restful 解析返回xml数据为json字符串]]></title><link>https://blog.youkuaiyun.com/FSWZYC/article/details/134440296</link><guid>https://blog.youkuaiyun.com/FSWZYC/article/details/134440296</guid><author>FSWZYC</author><pubDate>Thu, 16 Nov 2023 14:39:17 +0800</pubDate><description><![CDATA[【代码】apisix 自定义lua插件 webservice转restful 解析返回xml数据为json字符串。]]></description><category></category></item><item><title><![CDATA[java 调用webservice 并解析xml为json字符]]></title><link>https://blog.youkuaiyun.com/FSWZYC/article/details/134203607</link><guid>https://blog.youkuaiyun.com/FSWZYC/article/details/134203607</guid><author>FSWZYC</author><pubDate>Thu, 16 Nov 2023 13:57:22 +0800</pubDate><description><![CDATA[【代码】java 调用webservice 并解析xml为json字符。]]></description><category></category></item><item><title><![CDATA[MySQL大批量快速从文件导入数据库]]></title><link>https://blog.youkuaiyun.com/FSWZYC/article/details/129123294</link><guid>https://blog.youkuaiyun.com/FSWZYC/article/details/129123294</guid><author>FSWZYC</author><pubDate>Mon, 20 Feb 2023 14:07:58 +0800</pubDate><description><![CDATA[MySQL大批量快速从文件导入数据库]]></description><category></category></item><item><title><![CDATA[springJpa Specification 时间查询范围]]></title><link>https://blog.youkuaiyun.com/FSWZYC/article/details/128643876</link><guid>https://blog.youkuaiyun.com/FSWZYC/article/details/128643876</guid><author>FSWZYC</author><pubDate>Wed, 11 Jan 2023 14:04:32 +0800</pubDate><description><![CDATA[springJpa Specification 时间查询范围]]></description><category></category></item><item><title><![CDATA[线程池 多线程处理任务]]></title><link>https://blog.youkuaiyun.com/FSWZYC/article/details/127321479</link><guid>https://blog.youkuaiyun.com/FSWZYC/article/details/127321479</guid><author>FSWZYC</author><pubDate>Fri, 14 Oct 2022 15:47:08 +0800</pubDate><description><![CDATA[【代码】线程池 多线程处理任务。]]></description><category></category></item><item><title><![CDATA[字符转二进制流]]></title><link>https://blog.youkuaiyun.com/FSWZYC/article/details/127243133</link><guid>https://blog.youkuaiyun.com/FSWZYC/article/details/127243133</guid><author>FSWZYC</author><pubDate>Mon, 10 Oct 2022 13:47:30 +0800</pubDate><description><![CDATA[字符转二进制流]]></description><category></category></item><item><title><![CDATA[SQL中EXPLAIN命令详解]]></title><link>https://blog.youkuaiyun.com/FSWZYC/article/details/126655438</link><guid>https://blog.youkuaiyun.com/FSWZYC/article/details/126655438</guid><author>FSWZYC</author><pubDate>Fri, 02 Sep 2022 09:31:47 +0800</pubDate><description><![CDATA[SQL中EXPLAIN命令详解]]></description><category></category></item><item><title><![CDATA[oracle、mysql、sqlserver、POSTGRESQL分页方式]]></title><link>https://blog.youkuaiyun.com/FSWZYC/article/details/125897053</link><guid>https://blog.youkuaiyun.com/FSWZYC/article/details/125897053</guid><author>FSWZYC</author><pubDate>Wed, 20 Jul 2022 18:26:35 +0800</pubDate><description><![CDATA[oracle、mysql、sqlserver、POSTGRESQL分页方式]]></description><category></category></item><item><title><![CDATA[发送文件请求head头]]></title><link>https://blog.youkuaiyun.com/FSWZYC/article/details/125896679</link><guid>https://blog.youkuaiyun.com/FSWZYC/article/details/125896679</guid><author>FSWZYC</author><pubDate>Wed, 20 Jul 2022 17:20:39 +0800</pubDate><description><![CDATA[发送文件请求head头]]></description><category></category></item><item><title><![CDATA[excel格式，csv格式文件解析]]></title><link>https://blog.youkuaiyun.com/FSWZYC/article/details/125896484</link><guid>https://blog.youkuaiyun.com/FSWZYC/article/details/125896484</guid><author>FSWZYC</author><pubDate>Wed, 20 Jul 2022 17:16:01 +0800</pubDate><description><![CDATA[excel格式，csv格式文件解析]]></description><category></category></item><item><title><![CDATA[sql查询List通过反射转实体类 使用Json格式化工具类]]></title><link>https://blog.youkuaiyun.com/FSWZYC/article/details/125878167</link><guid>https://blog.youkuaiyun.com/FSWZYC/article/details/125878167</guid><author>FSWZYC</author><pubDate>Tue, 19 Jul 2022 18:29:47 +0800</pubDate><description><![CDATA[sql查询List通过反射转实体类使用Json格式化工具类。]]></description><category></category></item><item><title><![CDATA[索引失效原因]]></title><link>https://blog.youkuaiyun.com/FSWZYC/article/details/119891080</link><guid>https://blog.youkuaiyun.com/FSWZYC/article/details/119891080</guid><author>FSWZYC</author><pubDate>Tue, 24 Aug 2021 15:29:18 +0800</pubDate><description><![CDATA[索引失效原因]]></description><category></category></item><item><title><![CDATA[volatile]]></title><link>https://blog.youkuaiyun.com/FSWZYC/article/details/119885630</link><guid>https://blog.youkuaiyun.com/FSWZYC/article/details/119885630</guid><author>FSWZYC</author><pubDate>Tue, 24 Aug 2021 11:13:22 +0800</pubDate><description><![CDATA[volatile关键字如何保证内存可见性
volatile保证可见性的原理是在每次访问变量时都会进行一次刷新，因此每次访问都是主内存中最新的版本。
所以volatile关键字的作用之一就是保证变量修改的实时可见性。
volatile内存语义
volatile在并发编程中很常见，但也容易被滥用，现在我们就进一步分析volatile关键字的语义。volatile是Java虚拟机提供的轻量级的同步机制。volatile关键字有如下两个作用
1、保证被volatile修饰的共享变量对所有线程总数可见的，也就是当一个]]></description><category></category></item><item><title><![CDATA[分库分表详解]]></title><link>https://blog.youkuaiyun.com/FSWZYC/article/details/119885143</link><guid>https://blog.youkuaiyun.com/FSWZYC/article/details/119885143</guid><author>FSWZYC</author><pubDate>Tue, 24 Aug 2021 10:59:49 +0800</pubDate><description><![CDATA[垂直分库，垂直分表，水平分库，水平分表
随着公司业务快速发展，数据库中的数据量猛增，访问性能也变慢了，优化迫在眉睫。分析一下问题出现在哪儿呢？ 关系型数据库本身比较容易成为系统瓶颈，单机存储容量、连接数、处理能力都有限。当单表的数据量达到1000W或100G以后，由于查询维度较多，即使添加从库、优化索引，做很多操作时性能仍下降严重。
方案1：
通过提升服务器硬件能力来提高数据处理能力，比如增加存储容量 、CPU等，这种方案成本很高，并且如果瓶颈在MySQL本身那么提高硬件也是有很的。
方案2：
把数据分散在]]></description><category></category></item></channel></rss>