rename file and images to 07-28
diff --git a/_posts/2020-05-03-flink-sql-demo-building-e2e-streaming-application.md b/_posts/2020-07-28-flink-sql-demo-building-e2e-streaming-application.md
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index 0950b45..bc5bac0 100644
--- a/_posts/2020-05-03-flink-sql-demo-building-e2e-streaming-application.md
+++ b/_posts/2020-07-28-flink-sql-demo-building-e2e-streaming-application.md
@@ -73,7 +73,7 @@
You should see the welcome screen of the CLI client.
<center>
-<img src="{{ site.baseurl }}/img/blog/2020-05-03-flink-sql-demo/image3.png" width="500px" alt="Flink SQL CLI welcome page"/>
+<img src="{{ site.baseurl }}/img/blog/2020-07-28-flink-sql-demo/image3.png" width="500px" alt="Flink SQL CLI welcome page"/>
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After running the previous query in the Flink SQL CLI, we can observe the submitted task on the [Flink Web UI](http://localhost:8081). This task is a streaming task and therefore runs continuously.
<center>
-<img src="{{ site.baseurl }}/img/blog/2020-05-03-flink-sql-demo/image4.jpg" width="800px" alt="Flink Dashboard"/>
+<img src="{{ site.baseurl }}/img/blog/2020-07-28-flink-sql-demo/image4.jpg" width="800px" alt="Flink Dashboard"/>
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Click "Discover" in the left-side toolbar. Kibana lists the content of the created index.
<center>
-<img src="{{ site.baseurl }}/img/blog/2020-05-03-flink-sql-demo/image5.jpg" width="800px" alt="Kibana Discover"/>
+<img src="{{ site.baseurl }}/img/blog/2020-07-28-flink-sql-demo/image5.jpg" width="800px" alt="Kibana Discover"/>
</center>
<br>
Next, create a dashboard to display various views. Click "Dashboard" on the left side of the page to create a dashboard named "User Behavior Analysis". Then, click "Create New" to create a new view. Select "Area" (area graph), then select the `buy_cnt_per_hour` index, and draw the trading volume area chart as illustrated in the configuration on the left side of the following diagram. Apply the changes by clicking the “▶” play button. Then, save it as "Hourly Trading Volume".
<center>
-<img src="{{ site.baseurl }}/img/blog/2020-05-03-flink-sql-demo/image6.jpg" width="800px" alt="Hourly Trading Volume"/>
+<img src="{{ site.baseurl }}/img/blog/2020-07-28-flink-sql-demo/image6.jpg" width="800px" alt="Hourly Trading Volume"/>
</center>
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@@ -226,7 +226,7 @@
After submitting this query, we create a `cumulative_uv` index pattern in Kibana. We then create a "Line" (line graph) on the dashboard, by selecting the `cumulative_uv` index, and drawing the cumulative UV curve according to the configuration on the left side of the following figure before finally saving the curve.
<center>
-<img src="{{ site.baseurl }}/img/blog/2020-05-03-flink-sql-demo/image7.jpg" width="800px" alt="Cumulative Unique Visitors every 10-min"/>
+<img src="{{ site.baseurl }}/img/blog/2020-07-28-flink-sql-demo/image7.jpg" width="800px" alt="Cumulative Unique Visitors every 10-min"/>
</center>
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@@ -290,7 +290,7 @@
After submitting the query, we create a `top_category` index pattern in Kibana. We then create a "Horizontal Bar" (bar graph) on the dashboard, by selecting the `top_category` index and drawing the category ranking according to the configuration on the left side of the following diagram before finally saving the list.
<center>
-<img src="{{ site.baseurl }}/img/blog/2020-05-03-flink-sql-demo/image8.jpg" width="800px" alt="Top Categories"/>
+<img src="{{ site.baseurl }}/img/blog/2020-07-28-flink-sql-demo/image8.jpg" width="800px" alt="Top Categories"/>
</center>
<br>
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