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The following commit(s) were added to refs/heads/release-1.17 by this push:
new a8d7ec97ed0 [FLINK-31227][docs] Remove Scala suffix for ORC and
Parquet format download links on the the FileSystem documentation. This closes
#22039
a8d7ec97ed0 is described below
commit a8d7ec97ed02799882da2ca0416a811efef7f7b2
Author: K.I. (Dennis) Jung <[email protected]>
AuthorDate: Mon Mar 13 17:03:16 2023 +0900
[FLINK-31227][docs] Remove Scala suffix for ORC and Parquet format download
links on the the FileSystem documentation. This closes #22039
Remove Scala suffix for ORC and Parquet format download links on the the
FileSystem documentation
(cherry picked from commit a8848f8d6aa700e0325e79a8f7b44f611d287cb3)
---
docs/content.zh/docs/connectors/datastream/filesystem.md | 4 ++--
docs/content/docs/connectors/datastream/filesystem.md | 4 ++--
2 files changed, 4 insertions(+), 4 deletions(-)
diff --git a/docs/content.zh/docs/connectors/datastream/filesystem.md
b/docs/content.zh/docs/connectors/datastream/filesystem.md
index 2cd0bc6bead..6bdb30f0795 100644
--- a/docs/content.zh/docs/connectors/datastream/filesystem.md
+++ b/docs/content.zh/docs/connectors/datastream/filesystem.md
@@ -421,7 +421,7 @@ Flink 内置了为 Avro Format 数据创建 Parquet 写入工厂的快捷方法
如果在程序中使用 Parquet 的 Bulk-encoded Format,需要添加如下依赖到项目中:
-{{< artifact flink-parquet withScalaVersion >}}
+{{< artifact flink-parquet >}}
{{< py_download_link "parquet" >}}
@@ -722,7 +722,7 @@ class PersonVectorizer(schema: String) extends
Vectorizer[Person](schema) {
如果在程序中使用 ORC 的 Bulk-encoded Format,需要添加如下依赖到项目中:
-{{< artifact flink-orc withScalaVersion >}}
+{{< artifact flink-orc >}}
然后,类似这样使用 `FileSink` 以 ORC Format 输出数据:
diff --git a/docs/content/docs/connectors/datastream/filesystem.md
b/docs/content/docs/connectors/datastream/filesystem.md
index b4c6a643f53..c4a8debf7a6 100644
--- a/docs/content/docs/connectors/datastream/filesystem.md
+++ b/docs/content/docs/connectors/datastream/filesystem.md
@@ -418,7 +418,7 @@ For writing to other Parquet compatible data formats, users
need to create the P
To use the Parquet bulk encoder in your application you need to add the
following dependency:
-{{< artifact flink-parquet withScalaVersion >}}
+{{< artifact flink-parquet >}}
{{< py_download_link "parquet" >}}
@@ -725,7 +725,7 @@ class PersonVectorizer(schema: String) extends
Vectorizer[Person](schema) {
To use the ORC bulk encoder in an application, users need to add the following
dependency:
-{{< artifact flink-orc withScalaVersion >}}
+{{< artifact flink-orc >}}
And then a `FileSink` that writes data in ORC format can be created like this: