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Posted to commits@flink.apache.org by dw...@apache.org on 2021/11/05 07:56:23 UTC

[flink-web] 02/02: rebuild website

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

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

commit de50d9e73a3713342381524d18f651b12261f793
Author: Yuan Mei <yu...@gmail.com>
AuthorDate: Fri Nov 5 13:16:24 2021 +0800

    rebuild website
---
 content/blog/feed.xml                       | 2 +-
 content/news/2021/09/29/release-1.14.0.html | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/content/blog/feed.xml b/content/blog/feed.xml
index 6934262..b3bbb83 100644
--- a/content/blog/feed.xml
+++ b/content/blog/feed.xml
@@ -718,7 +718,7 @@ produces a combined stream from multiple sources, by reading those sources one a
 seamlessly switching over from one source to the other.&lt;/p&gt;
 
 &lt;p&gt;The motivating use case for the Hybrid Source was to read streams from tiered storage setups as if there was one
-stream that spans all tiers. For example, new data may land in Kafa and is eventually
+stream that spans all tiers. For example, new data may land in Kafka and is eventually
 migrated to S3 (typically in compressed columnar format, for cost efficiency and performance).
 The Hybrid Source can read this as one contiguous logical stream, starting with the historic data on S3
 and transitioning over to the more recent data in Kafka.&lt;/p&gt;
diff --git a/content/news/2021/09/29/release-1.14.0.html b/content/news/2021/09/29/release-1.14.0.html
index ba241c0..1cf2e9b 100644
--- a/content/news/2021/09/29/release-1.14.0.html
+++ b/content/news/2021/09/29/release-1.14.0.html
@@ -342,7 +342,7 @@ produces a combined stream from multiple sources, by reading those sources one a
 seamlessly switching over from one source to the other.</p>
 
 <p>The motivating use case for the Hybrid Source was to read streams from tiered storage setups as if there was one
-stream that spans all tiers. For example, new data may land in Kafa and is eventually
+stream that spans all tiers. For example, new data may land in Kafka and is eventually
 migrated to S3 (typically in compressed columnar format, for cost efficiency and performance).
 The Hybrid Source can read this as one contiguous logical stream, starting with the historic data on S3
 and transitioning over to the more recent data in Kafka.</p>