<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[不会心跳的博客]]></title><description><![CDATA[]]></description><link>https://blog.youkuaiyun.com/haixing1994</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; haixing1994]]></copyright><item><title><![CDATA[windows下安装claude code并接入deepseek]]></title><link>https://blog.youkuaiyun.com/haixing1994/article/details/161447364</link><guid>https://blog.youkuaiyun.com/haixing1994/article/details/161447364</guid><author>haixing1994</author><pubDate>Wed, 27 May 2026 11:15:15 +0800</pubDate><description><![CDATA[本文介绍了在Windows平台部署Claude Code CLI工具并整合Deepseek模型的方法。首先需要安装Node.js环境，然后通过npm全局安装Claude Code。安装完成后，需在用户目录下的.claude文件夹中创建settings.json配置文件，替换API密钥并设置Deepseek模型参数（包括v4-pro和v4-flash版本）。配置完成后即可在命令行或PyCharm等开发环境中直接调用Claude Code工具。文中还提供了解决连接服务器失败的方案，即在.claude.json文]]></description><category></category></item><item><title><![CDATA[pikachu靶场安装部署]]></title><link>https://blog.youkuaiyun.com/haixing1994/article/details/146010164</link><guid>https://blog.youkuaiyun.com/haixing1994/article/details/146010164</guid><author>haixing1994</author><pubDate>Tue, 04 Mar 2025 11:30:07 +0800</pubDate><description><![CDATA[pikachu靶场安装部署]]></description><category></category></item><item><title><![CDATA[使用beeline连接hive]]></title><link>https://blog.youkuaiyun.com/haixing1994/article/details/139471021</link><guid>https://blog.youkuaiyun.com/haixing1994/article/details/139471021</guid><author>haixing1994</author><pubDate>Wed, 05 Jun 2024 14:15:24 +0800</pubDate><description><![CDATA[使用beeline连接hive的前提是hive已经部署完毕，Hive单机部署可以看：http://t.csdnimg.cn/54WMQ。]]></description><category></category></item><item><title><![CDATA[Hive单机版安装部署]]></title><link>https://blog.youkuaiyun.com/haixing1994/article/details/139470626</link><guid>https://blog.youkuaiyun.com/haixing1994/article/details/139470626</guid><author>haixing1994</author><pubDate>Wed, 05 Jun 2024 14:09:10 +0800</pubDate><description><![CDATA[在根目录下建立software文件夹：mkdir software。进入/software/hadoop/etc/hadoop文件夹。保存退出，使文件生效：source /etc/profile。保存退出，生效：source /etc/profile。进入配置文件夹：/software/hive/conf。打开配置文件：vi /etc/profile。打开配置文件：vi /etc/profile。文件夹改名：mv 源文件夹名 目标文件夹名。输入show databases;]]></description><category></category></item><item><title><![CDATA[实验4：路由器配置2]]></title><link>https://blog.youkuaiyun.com/haixing1994/article/details/138612371</link><guid>https://blog.youkuaiyun.com/haixing1994/article/details/138612371</guid><author>haixing1994</author><pubDate>Thu, 09 May 2024 14:11:43 +0800</pubDate><description><![CDATA[练习：在上一个网络拓扑图中，加入一台新的路由器R4，请修改相关IP地址，并增加路由规则，使PC1能够ping通PC3.]]></description><category></category></item><item><title><![CDATA[实验三：路由器配置]]></title><link>https://blog.youkuaiyun.com/haixing1994/article/details/135323317</link><guid>https://blog.youkuaiyun.com/haixing1994/article/details/135323317</guid><author>haixing1994</author><pubDate>Mon, 01 Jan 2024 11:36:33 +0800</pubDate><description><![CDATA[不要弄错路由器接口，注意路由器连接交换机和另一个路由器的接口分别是哪个，如果把接口的IP配错了是无法成功连通的。是去往子网地址的下一跳路由器的地址（因为在当前路由器的视角下，下一跳路由器的地址为连接当前路由器的接口的地址）另一个路由器配置方法相同。是目的子网地址的子网掩码，左边PC ping右边PC。右边PC ping左边PC。]]></description><category></category></item><item><title><![CDATA[实验二：多交换机配置VLAN]]></title><link>https://blog.youkuaiyun.com/haixing1994/article/details/135322700</link><guid>https://blog.youkuaiyun.com/haixing1994/article/details/135322700</guid><author>haixing1994</author><pubDate>Mon, 01 Jan 2024 10:28:03 +0800</pubDate><description><![CDATA[第一个接口连接到192.168.1.1，将其分配到VLAN100，另2个接口配置同第一个接口。192.168.1.1能否ping通1.4？创建VLAN后会进入VLAN配置模式，需退出到配置模式再创建其他VLAN。首先进入配置模式，然后创建VLAN。另一个交换机的配置操作相同。]]></description><category></category></item><item><title><![CDATA[实验一：交换机配置VLAN]]></title><link>https://blog.youkuaiyun.com/haixing1994/article/details/135265954</link><guid>https://blog.youkuaiyun.com/haixing1994/article/details/135265954</guid><author>haixing1994</author><pubDate>Thu, 28 Dec 2023 12:18:08 +0800</pubDate><description><![CDATA[【代码】实验一：交换机配置VLAN。]]></description><category></category></item><item><title><![CDATA[mybatis-plus示例(mysql)]]></title><link>https://blog.youkuaiyun.com/haixing1994/article/details/123393755</link><guid>https://blog.youkuaiyun.com/haixing1994/article/details/123393755</guid><author>haixing1994</author><pubDate>Thu, 10 Mar 2022 10:16:25 +0800</pubDate><description><![CDATA[一、准备工作
1. mysql 安装
下载地址:https://downloads.mysql.com/archives/community/
我选择的版本是5.7.8rc
2. 数据库准备
-- 创建数据库
CREATE TABLE user
(
    id BIGINT(20) NOT NULL COMMENT '主键ID',
    name VARCHAR(30) NULL DEFAULT NULL COMMENT '姓名',
    age INT(11) NULL DEFAULT NULL C]]></description><category></category></item><item><title><![CDATA[Set(List)与String互转]]></title><link>https://blog.youkuaiyun.com/haixing1994/article/details/122622724</link><guid>https://blog.youkuaiyun.com/haixing1994/article/details/122622724</guid><author>haixing1994</author><pubDate>Fri, 21 Jan 2022 15:56:47 +0800</pubDate><description><![CDATA[一、Set与String互转
在处理JSON数据时，我发现想把数据取出来用set去重，然后toString后放回JSON，但是再取出来要转成Set时就出问题了。
这是一个用例：
JSONObject jsonObject = new JSONObject();
jsonObject.put("姓名", "张三,李四");
HashSet&lt;Object&gt; names = Sets.newHashSet(jsonObject.getString("姓名").split(","));
names.ad]]></description><category></category></item><item><title><![CDATA[Flink的容错重启和恢复]]></title><link>https://blog.youkuaiyun.com/haixing1994/article/details/122255732</link><guid>https://blog.youkuaiyun.com/haixing1994/article/details/122255732</guid><author>haixing1994</author><pubDate>Fri, 31 Dec 2021 16:21:30 +0800</pubDate><description><![CDATA[一、重启机制
Flink的重启机制在代码中的设置：
1. NoRestart
表示发生错误不会重启
env.setRestartStrategy(RestartStrategies.noRestart());

2. EnableCheckpointRestart
默认重启策略，固定频率
env.enableCheckpointing(2000);

3. FailureRateRestart
设置失败次数，启动间隔，当重启次数达到设置的失败次数，结束重启终止作业。
// 失败次数5次，时间段为5分钟内，重]]></description><category></category></item><item><title><![CDATA[MapReduce程序样例]]></title><link>https://blog.youkuaiyun.com/haixing1994/article/details/121357217</link><guid>https://blog.youkuaiyun.com/haixing1994/article/details/121357217</guid><author>haixing1994</author><pubDate>Tue, 16 Nov 2021 15:30:38 +0800</pubDate><description><![CDATA[public class MovieClass {
	public class MovieMapper extends Mapper&lt;LongWritable, Text, LongWritable, DoubleWritable&gt; {

		@Override
		protected void map(LongWritable key, Text value, Mapper&lt;LongWritable, Text, LongWritable, DoubleWritable&gt;.Cont]]></description><category></category></item><item><title><![CDATA[贷款Hive分析]]></title><link>https://blog.youkuaiyun.com/haixing1994/article/details/121357166</link><guid>https://blog.youkuaiyun.com/haixing1994/article/details/121357166</guid><author>haixing1994</author><pubDate>Tue, 16 Nov 2021 15:28:02 +0800</pubDate><description><![CDATA[create database hive;
use hive;

create table loan(
    LoanStatus STRING,
    BorrowerRate FLOAT,
    ProsperScore FLOAT,
    Occupation STRING,
    EmploymentStatus  STRING,
    IsBorrowerHomeowner BOOLEAN,
    CreditScorerangeLower INT,
    CreditScorer]]></description><category></category></item><item><title><![CDATA[eclipse配置hadoop]]></title><link>https://blog.youkuaiyun.com/haixing1994/article/details/121357084</link><guid>https://blog.youkuaiyun.com/haixing1994/article/details/121357084</guid><author>haixing1994</author><pubDate>Tue, 16 Nov 2021 15:26:40 +0800</pubDate><description><![CDATA[因此对应的插件为 hadoop-eclipse-plugin-2.7.7.jar ,放在
eclipse安装包下的plugins⽬录下，也可以直接放在dropins⽬录下（较为便捷）。
2）解压Hadoop安装包
在eclipse的Windows-&gt;Preferences的Hadoop
Map/Reduce中设置对应的安装⽬录
3）打开Windows-&gt;Perspective-&gt;Open Perspective-&gt; Other 中的Map/Reduce，在此perspective下
]]></description><category></category></item><item><title><![CDATA[大数据集群搭建操作]]></title><link>https://blog.youkuaiyun.com/haixing1994/article/details/120826564</link><guid>https://blog.youkuaiyun.com/haixing1994/article/details/120826564</guid><author>haixing1994</author><pubDate>Mon, 18 Oct 2021 16:29:05 +0800</pubDate><description><![CDATA[1.安装ntp
rpm -qa|grep ntp
yum install ntp -y

2.删除mariadb
rpm -aq | grep mariadb
rpm -e --nodeps mariadb-libs- 版本

3.安装mysql
rpm -ivh mysql-community-common
...		libs
...		libs-compat
...		client
...		server

4.修改主机名
hostnamectl set-hostname xxx
bash

5.关闭防]]></description><category></category></item><item><title><![CDATA[Flink自定义实现ElasticSearch Table Source]]></title><link>https://blog.youkuaiyun.com/haixing1994/article/details/120223870</link><guid>https://blog.youkuaiyun.com/haixing1994/article/details/120223870</guid><author>haixing1994</author><pubDate>Fri, 10 Sep 2021 15:53:39 +0800</pubDate><description><![CDATA[Flink版本：1.12.1
ES Maven版本：elasticsearch-rest-client:6.3.1
FLINK TableSource官方文档：https://ci.apache.org/projects/flink/flink-docs-release-1.12/zh/dev/table/sourceSinks.html

Flink自定义Table Source需要实现3个类，DynamicTableSourceFactory -&gt; DynamicTableSource -&gt.]]></description><category></category></item><item><title><![CDATA[Flink自定义Table Source]]></title><link>https://blog.youkuaiyun.com/haixing1994/article/details/120043422</link><guid>https://blog.youkuaiyun.com/haixing1994/article/details/120043422</guid><author>haixing1994</author><pubDate>Thu, 02 Sep 2021 17:51:10 +0800</pubDate><description><![CDATA[基于官方文档 User-defined Sources &amp; Sinks 实现，该实现完成了一个自定义Socket Table Source来将Socket传入的数据转为Table。
Flink版本:1.12.1
maven依赖在最后，出现问题首先排查依赖版本是否正确。


一、TableSource实现
Dynamic Table Factory
在使用Table source时，首先需要建表：
CREATE TABLE UserScores (name STRING, score INT)
WI.]]></description><category></category></item><item><title><![CDATA[Flink连接WSL中的kafka遇到的问题]]></title><link>https://blog.youkuaiyun.com/haixing1994/article/details/119785502</link><guid>https://blog.youkuaiyun.com/haixing1994/article/details/119785502</guid><author>haixing1994</author><pubDate>Wed, 18 Aug 2021 17:43:27 +0800</pubDate><description><![CDATA[按照官方文档Apache Kafka 连接器建立一个类
public class FlinkDataStream {
    public static void main(String[] args) throws Exception {
        final StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
        DataStream&lt;String&gt; s]]></description><category></category></item><item><title><![CDATA[WSL中kafka安装和启动]]></title><link>https://blog.youkuaiyun.com/haixing1994/article/details/119772277</link><guid>https://blog.youkuaiyun.com/haixing1994/article/details/119772277</guid><author>haixing1994</author><pubDate>Wed, 18 Aug 2021 09:10:07 +0800</pubDate><description><![CDATA[下载安装

打开网站找到版本https://mirrors.tuna.tsinghua.edu.cn/apache/kafka，然后下载
wget http://mirrors.tuna.tsinghua.edu.cn/apache/kafka/2.7.0/kafka_2.13-2.7.0.tgz
tar -zxvf kafka_2.13-2.7.0.tgz
cd kafka_2.13-2.7.0/

修改配置文件
cd config 
vi server.properties

修改参数
log.dir.]]></description><category></category></item><item><title><![CDATA[Java枚举类]]></title><link>https://blog.youkuaiyun.com/haixing1994/article/details/119647452</link><guid>https://blog.youkuaiyun.com/haixing1994/article/details/119647452</guid><author>haixing1994</author><pubDate>Thu, 12 Aug 2021 16:26:07 +0800</pubDate><description><![CDATA[在JAVA基础的学习中学到的枚举类一般是这样的：
enum Weekday {
    SUN, MON, TUE, WED, THU, FRI, SAT;
}

而我在实际中碰到的枚举类是这样的：
import lombok.AllArgsConstructor;

@AllArgsConstructor
public enum Test {

    SAT("sat"),
    SUB("sub");
    
    private String test;
}


public class Te]]></description><category></category></item></channel></rss>