- 通过spark-streaming 订阅kafka中的数据，通过对应的解析器抽取出特定的字段，得到对应的dstream
- 将每个dstream 的RDD转换成DataFrame注册成临时表，使用Spark SQL结合业务逻辑对临时表进行业务处理后到达处理后的DataFame
- 将得到的DataFrame通过druid的tranquility接口实时导入到druid中
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