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Altshuler's Projects

dataetl icon dataetl

1）使用mapreduce清洗数据 2）再将输入导入数据仓库（hive+hadoop）3)编写hql进行查询 需求较为复杂 注意使用开窗 行列转换 子查询等技术点

hdfs icon hdfs

采用JavaAPI 在客户端操作hdfs

intellij-idea-tutorial icon intellij-idea-tutorial

🌻 This is a tutorial of IntelliJ IDEA, you can know how to use IntelliJ IDEA better and better.

kafkapractice icon kafkapractice

kafka：1)使用kafka完成生产和消费 2）生产者消费者分别使用高阶API 和低阶API操作 3）使用kafka自定义分区

log-analysis icon log-analysis

练习使用checkPoint 保存SparkStreaming的StreamingContext

mapreduceprac icon mapreduceprac

使用Hadoop的mapreduce做以下工作：1）简单单词统计 2）使用不同的InputFormat(TextInputFormat,NLine,KeyValue,CombineTextInputFormat),以及自定义输入格式组件3）自定义输出格式组件 4）练习在map端join 和在reduce端join 5)使用辅助排序 6）完成在mapreduce模型下的topN

movierecommendsystem icon movierecommendsystem

机器学习：1）离线统计（统计数据即可），离线推荐（基于LFM隐语义模型 采用ALS算法 ，并根据最小方差计算RMSE），2）实时推荐，实时根据用户最近看过的一部电影，找到相似的电影（相似矩阵由上一个需求得出）作为候选电影，再结合最近评分的电影，推出优先级别 3）基于内容（电影）的推荐，TF-IDF算法 4） 针对冷启动问题建议打上专家标签

myseckill icon myseckill

使用redis测试商品秒杀时线程安全问题 ，采用乐观锁解决后，出现商品富余问题（抢购次数一定范围内大于商品件数时）以及秒杀不公平问题；最后采用lua脚本解决，注意：最后的打印顺序不代表lua脚本的执行顺序，回到Java之后多个线程执行时的乱序性又会出现

zookeepermine icon zookeepermine

使用Java AP客户端对Zookeeper集群进行基本操作；对Zookeeper的数据，目录进行监听；模拟 使用zookeeper完成多台服务器加路由的后台架构

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