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Update Flink核心概念综述.md

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heibaiying
2019-11-05 22:08:51 +08:00
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notes/Flink核心概念综述.md
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@@ -26,14 +26,14 @@ Apache Flink 诞生于柏林工业大学的一个研究性项目，原名 Strato
Flink 有界数据流和无界数据流： Flink 有界数据流和无界数据流：
<div align="center"> <img src="https://github.com/heibaiying/BigData-Notes/blob/master/pictures/flink-bounded-unbounded.png"/> </div> <div align="center"> <img width="600px" src="https://github.com/heibaiying/BigData-Notes/blob/master/pictures/flink-bounded-unbounded.png"/> </div>
Spark Streaming 数据流的拆分： Spark Streaming 数据流的拆分：
<div align="center"> <img src="https://github.com/heibaiying/BigData-Notes/blob/master/pictures/streaming-flow.png"/> </div> <div align="center"> <img width="600px" src="https://github.com/heibaiying/BigData-Notes/blob/master/pictures/streaming-flow.png"/> </div>
@@ -42,7 +42,7 @@ Spark Streaming 数据流的拆分：
Flink 采用分层的架构设计，从而保证各层在功能和职责上的清晰。如下图所示，由上而下分别是 API & Libraries 层、Runtime 核心层以及物理部署层： Flink 采用分层的架构设计，从而保证各层在功能和职责上的清晰。如下图所示，由上而下分别是 API & Libraries 层、Runtime 核心层以及物理部署层：
<div align="center"> <img src="https://github.com/heibaiying/BigData-Notes/blob/master/pictures/flink-stack.png"/> </div> <div align="center"> <img width="600px" src="https://github.com/heibaiying/BigData-Notes/blob/master/pictures/flink-stack.png"/> </div>