diff --git a/notes/Flink_Data_Source.md b/notes/Flink_Data_Source.md
index 7686cad..e7f2b54 100644
--- a/notes/Flink_Data_Source.md
+++ b/notes/Flink_Data_Source.md
@@ -151,6 +151,7 @@ Exception in thread "main" java.lang.IllegalArgumentException: Source: 1 is not
 如果你想要实现具有并行度的输入流，则需要实现 ParallelSourceFunction 或 RichParallelSourceFunction 接口，其与 SourceFunction 的关系如下图： 
 
 <div align="center"> <img src="https://github.com/heibaiying/BigData-Notes/blob/master/pictures/flink-RichParallelSourceFunction.png"/> </div>
+
 ParallelSourceFunction 直接继承自 ParallelSourceFunction，具有并行度的功能。RichParallelSourceFunction 则继承自 AbstractRichFunction，同时实现了 ParallelSourceFunction 接口，所以其除了具有并行度的功能外，还提供了额外的与生命周期相关的方法，如 open() ，closen() 。
 
 ## 三、Streaming Connectors
@@ -266,9 +267,11 @@ bin/kafka-console-producer.sh --broker-list hadoop001:9092 --topic flink-stream-
 在 Producer 上输入任意测试数据，之后观察程序控制台的输出：
 
 <div align="center"> <img src="https://github.com/heibaiying/BigData-Notes/blob/master/pictures/flink-kafka-datasource-producer.png"/> </div>
+
 程序控制台的输出如下：
 
 <div align="center"> <img src="https://github.com/heibaiying/BigData-Notes/blob/master/pictures/flink-kafka-datasource-console.png"/> </div>
+
 可以看到已经成功接收并打印出相关的数据。
 
 
@@ -277,4 +280,4 @@ bin/kafka-console-producer.sh --broker-list hadoop001:9092 --topic flink-stream-
 
 1. data-sources：https://ci.apache.org/projects/flink/flink-docs-release-1.9/dev/datastream_api.html#data-sources 
 2. Streaming Connectors：https://ci.apache.org/projects/flink/flink-docs-release-1.9/dev/connectors/index.html
-3. Apache Kafka Connector： https://ci.apache.org/projects/flink/flink-docs-release-1.9/dev/connectors/kafka.html 
\ No newline at end of file
+3. Apache Kafka Connector： https://ci.apache.org/projects/flink/flink-docs-release-1.9/dev/connectors/kafka.html