增加文档说明
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xuwujing
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README.md
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README.md
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## java-study
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`java-study` 是本人学习过程中记录的一些代码！
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从Java基础的数据类型、修饰符、String类、IO、集合、线程等等到一些常用框架，Netty、Mina、SpringBoot、kafka、storm、zookeeper、redis、hbase、hive等等。
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[java-study](https://github.com/xuwujing/java-study) 是本人学习Java过程中记录的一些代码！从Java基础的数据类型、修饰符、String类、IO、集合、线程等等到一些常用框架，Netty、Mina、SpringBoot、kafka、storm、zookeeper、redis、hbase、hive等等。
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## 项目结构
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**项目结构:**
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com.pancm.arithmetic - 算法相关类
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com.pancm.basics - 一些Java基础相关类 主要是三大特性、io、集合、反射、克隆等等
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com.pancm.bigdata - 大数据相关的类
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com.pancm.commons - 一些第三方工具类的测试用例,主要是apache的和google
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com.pancm.design - 设计模式相关的类
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com.pancm.jdk8 - jdk1.8相关的类
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com.pancm.mq - 一些消息中间件的类，主要包含kafka、rabbitmq
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com.pancm.nio - 一些nio框架，主要是netty和mina
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com.pancm.others - 一些不知道怎么定义的测试类
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com.pancm.pojo - 实体相关类
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com.pancm.question - 一些面试可能会问的问题的类
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com.pancm.sql - 一些数据库相关的类，包括非关系型数据库
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com.pancm.thread - 一些线程相关的类 从基本的使用到各种并发的测试类
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com.pancm.utils - 一些可以用的工具类
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## 相关文章
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这里介绍的文章主要是本人写的一些博客。博客主要发布在[个人博客](http://www.panchengming.com)、[CSDN](https://blog.csdn.net/qazwsxpcm)、[博客园](https://www.cnblogs.com/xuwujing/)等，但是由于个人博客在github上，访问可能较慢，CSDN目前观感体验不好，所以以下链接主要就在博客园中了。
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**Java基础相关:**
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- [基本数据类型](https://www.cnblogs.com/xuwujing/p/8597557.html)
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- [修饰符和String](https://www.cnblogs.com/xuwujing/p/8638329.html)
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- [封装、继承和多态](https://www.cnblogs.com/xuwujing/p/8681123.html)
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- [集合List、Map和Set](https://www.cnblogs.com/xuwujing/p/8886821.html)
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- [多线程](https://www.cnblogs.com/xuwujing/p/9102870.html)
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- [IO流](https://www.cnblogs.com/xuwujing/p/9191546.html)
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- [总结篇](https://www.cnblogs.com/xuwujing/p/9236376.html)
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**设计模式:**
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- [单例模式](https://www.cnblogs.com/xuwujing/p/9277266.html)
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- [工厂模式](https://www.cnblogs.com/xuwujing/p/9363142.html)
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- [建造者模式和原型模式](https://www.cnblogs.com/xuwujing/p/9496346.html)
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- [适配器模式和桥接模式](https://www.cnblogs.com/xuwujing/p/9520851.html)
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- [外观模式和装饰器模式](https://www.cnblogs.com/xuwujing/p/9545272.html)
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- [组合模式和过滤器模式](https://www.cnblogs.com/xuwujing/p/9630850.html)
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## 其他
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在这些代码中，虽然大部分都是自己写的，但是也有不少是在学习过程中从网上或书上直接摘抄的，当时有些并未标明出处，现在由于忘了出处，有些代码并未标明，若有冒犯，忘请见谅！
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101
pom.xml
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pom.xml
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<artifactId>zkclient</artifactId>
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<version>0.10</version>
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</dependency>
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<!--hadoop 相关架包 -->
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<dependency>
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<groupId>org.apache.hadoop</groupId>
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<artifactId>hadoop-common</artifactId>
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<version>2.8.2</version>
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</dependency>
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<dependency>
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<groupId>org.apache.hadoop</groupId>
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<artifactId>hadoop-client</artifactId>
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<version>2.8.2</version>
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</dependency>
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<dependency>
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<groupId>org.apache.hadoop</groupId>
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<artifactId>hadoop-hdfs</artifactId>
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<version>2.8.2</version>
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</dependency>
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<dependency>
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<groupId>org.apache.hadoop</groupId>
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<artifactId>hadoop-mapreduce-client-core</artifactId>
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<version>2.8.2</version>
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</dependency>
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<dependency>
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<groupId>org.apache.hadoop</groupId>
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<artifactId>hadoop-yarn-common</artifactId>
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<version>2.8.2</version>
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</dependency>
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<!--HBase相关jar -->
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<dependency>
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<groupId>org.apache.hbase</groupId>
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<artifactId>hbase-hadoop-compat</artifactId>
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<version>1.3.1</version>
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</dependency>
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<dependency>
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<groupId>org.apache.hbase</groupId>
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<artifactId>hbase-server</artifactId>
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<version>1.1.2</version>
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</dependency>
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<dependency>
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<groupId>org.apache.hbase</groupId>
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<artifactId>hbase-client</artifactId>
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<version>1.1.2</version>
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</dependency>
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<dependency>
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<groupId>org.apache.hbase</groupId>
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<artifactId>hbase-common</artifactId>
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<version>1.1.2</version>
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</dependency>
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<!--Hive相关jar -->
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<dependency>
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<groupId>org.apache.hive</groupId>
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<artifactId>hive-jdbc</artifactId>
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<version>2.1.1</version>
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</dependency>
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<!--storm相关jar -->
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<dependency>
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<groupId>org.apache.storm</groupId>
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<artifactId>storm-core</artifactId>
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<version>1.1.1</version>
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</dependency>
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<dependency>
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<groupId>org.apache.storm</groupId>
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<artifactId>storm-kafka</artifactId>
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<version>1.1.1</version>
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</dependency>
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<!--Spark相关jar -->
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<dependency>
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<groupId>org.apache.spark</groupId>
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<artifactId>spark-core_2.11</artifactId>
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<version>2.2.0</version>
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</dependency>
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<dependency>
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<groupId>org.apache.spark</groupId>
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<artifactId>spark-sql_2.11</artifactId>
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<version>2.2.0</version>
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</dependency>
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<dependency>
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<groupId>org.apache.spark</groupId>
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<artifactId>spark-streaming_2.11</artifactId>
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<version>2.2.0</version>
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<scope>provided</scope>
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</dependency>
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<dependency>
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<groupId>com.sparkjava</groupId>
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<artifactId>spark-core</artifactId>
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<version>2.7.1</version>
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</dependency>
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<dependency>
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<groupId>org.apache.spark</groupId>
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<artifactId>spark-mllib_2.11</artifactId>
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<version>2.2.0</version>
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<scope>provided</scope>
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</dependency>
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<!-- 大数据相关 jar end -->
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