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Posted to commits@flink.apache.org by sj...@apache.org on 2020/07/28 13:32:55 UTC

[flink-web] 05/06: Update 1.11.0 to 1.11

This is an automated email from the ASF dual-hosted git repository.

sjwiesman pushed a commit to branch asf-site
in repository https://gitbox.apache.org/repos/asf/flink-web.git

commit 88642c1bb12d6c9cf7f3f0e56a5343c1087d314f
Author: Jark Wu <ja...@apache.org>
AuthorDate: Mon Jul 27 15:23:55 2020 +0800

    Update 1.11.0 to 1.11
---
 _posts/2020-07-28-flink-sql-demo-building-e2e-streaming-application.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/_posts/2020-07-28-flink-sql-demo-building-e2e-streaming-application.md b/_posts/2020-07-28-flink-sql-demo-building-e2e-streaming-application.md
index bc5bac0..0c935c2 100644
--- a/_posts/2020-07-28-flink-sql-demo-building-e2e-streaming-application.md
+++ b/_posts/2020-07-28-flink-sql-demo-building-e2e-streaming-application.md
@@ -9,7 +9,7 @@ authors:
 excerpt: Apache Flink 1.11 has released many exciting new features, including many developments in Flink SQL which is evolving at a fast pace. This article takes a closer look at how to quickly build streaming applications with Flink SQL from a practical point of view.
 ---
 
-Apache Flink 1.11.0 has released many exciting new features, including many developments in Flink SQL which is evolving at a fast pace. This article takes a closer look at how to quickly build streaming applications with Flink SQL from a practical point of view.
+Apache Flink 1.11 has released many exciting new features, including many developments in Flink SQL which is evolving at a fast pace. This article takes a closer look at how to quickly build streaming applications with Flink SQL from a practical point of view.
 
 In the following sections, we describe how to integrate Kafka, MySQL, Elasticsearch, and Kibana with Flink SQL to analyze e-commerce user behavior in real-time. All exercises in this blogpost are performed in the Flink SQL CLI, and the entire process uses standard SQL syntax, without a single line of Java/Scala code or IDE installation. The final result of this demo is shown in the following figure: