From 9959f8671f6e66ccbd26cd93e746b05ee53da85b Mon Sep 17 00:00:00 2001
From: heibaiying <31504331+heibaiying@users.noreply.github.com>
Date: Tue, 5 Nov 2019 22:08:51 +0800
Subject: [PATCH] =?UTF-8?q?Update=20Flink=E6=A0=B8=E5=BF=83=E6=A6=82?=
 =?UTF-8?q?=E5=BF=B5=E7=BB=BC=E8=BF=B0.md?=
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---
 notes/Flink核心概念综述.md | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/notes/Flink核心概念综述.md b/notes/Flink核心概念综述.md
index 0f2fe77..e54e0a5 100644
--- a/notes/Flink核心概念综述.md
+++ b/notes/Flink核心概念综述.md
@@ -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：
 
-<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：
 
-<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：
 
-<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>