开发环境：
系统：Win10
开发工具：IntelliJ IDEA 2017.1.6 x64
项目管理工具：Apache Maven 3.5.0
JDK 1.8
Scala 2.11.12
Spark 2.1.0
HBase 1.1.5
Spark单机环境安装(cdh) https://blog.csdn.net/qq_35885488/article/details/103162749
spark在Idea中设置日志打印级别https://blog.csdn.net/qq_35885488/article/details/103201704
Spark Streaming处理Socket流简单实例 https://blog.csdn.net/qq_35885488/article/details/102667468
Spark Streaming处理文件(本地文件以及hdfs上面的文件) https://blog.csdn.net/qq_35885488/article/details/102681368
SparkStreaming 整合kafka实例 https://blog.csdn.net/qq_35885488/article/details/102695485
SparkStream整合hbase https://blog.csdn.net/qq_35885488/article/details/102717092
spark转换算子和行动算子介绍 https://blog.csdn.net/qq_35885488/article/details/102745211
spark rdd介绍 https://blog.csdn.net/qq_35885488/article/details/102723021
Spark中的匿名函数介绍 https://blog.csdn.net/qq_35885488/article/details/102617622
spark函数传递 https://blog.csdn.net/qq_35885488/article/details/102799923
sparkrdd连接mysql https://blog.csdn.net/qq_35885488/article/details/102813737
Spark无状态和有状态转化操作介绍 https://blog.csdn.net/qq_35885488/article/details/103185724
SparkStream连接mysql数据库 https://blog.csdn.net/qq_35885488/article/details/103197657
SparkStream窗口函数 https://blog.csdn.net/qq_35885488/article/details/103199008
sparkStream之黑名单过滤 https://blog.csdn.net/qq_35885488/article/details/103201803
sparkStreaming整合Flume的两种方式 https://blog.csdn.net/qq_35885488/article/details/103252180
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