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The following commit(s) were added to refs/heads/master by this push:
     new 05df703  [BEAM-10154] Remove stray version number.
     new 3ebc397  Merge pull request #11865 from ibzib/BEAM-10154
05df703 is described below

commit 05df70322217db17c03e00eca97b330fb9b1eef1
Author: Kyle Weaver <[email protected]>
AuthorDate: Fri May 29 14:19:00 2020 -0400

    [BEAM-10154] Remove stray version number.
---
 website/www/site/content/en/documentation/dsls/sql/overview.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/website/www/site/content/en/documentation/dsls/sql/overview.md 
b/website/www/site/content/en/documentation/dsls/sql/overview.md
index fc89197..f91037b 100644
--- a/website/www/site/content/en/documentation/dsls/sql/overview.md
+++ b/website/www/site/content/en/documentation/dsls/sql/overview.md
@@ -38,7 +38,7 @@ There are two additional concepts you need to know to use SQL 
in your pipeline:
  - [SqlTransform](https://beam.apache.org/releases/javadoc/{{< param 
release_latest 
>}}/index.html?org/apache/beam/sdk/extensions/sql/SqlTransform.html): the 
interface for creating `PTransforms` from SQL queries.
  - [Row](https://beam.apache.org/releases/javadoc/{{< param release_latest 
>}}/index.html?org/apache/beam/sdk/values/Row.html):
    the type of elements that Beam SQL operates on. A `PCollection<Row>` plays 
the role of a table.
-{{< param release_latest >}}
+
 ## Walkthrough
 The [SQL pipeline walkthrough](/documentation/dsls/sql/walkthrough) works 
through how to use Beam SQL with example code.
 

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