rmetzger commented on code in PR #25769:
URL: https://github.com/apache/flink/pull/25769#discussion_r1884416619


##########
docs/content.zh/docs/connectors/datastream/formats/parquet.md:
##########
@@ -198,14 +198,14 @@ ds = env.from_source(source, 
WatermarkStrategy.no_watermarks(), "file-source")
 
 Flink 支持三种方式来读取 Parquet 文件并创建 Avro records (PyFlink 只支持 Generic record):
 
-- [Generic record](https://avro.apache.org/docs/1.10.0/api/java/index.html)
-- [Specific record](https://avro.apache.org/docs/1.10.0/api/java/index.html)
-- [Reflect 
record](https://avro.apache.org/docs/1.10.0/api/java/org/apache/avro/reflect/package-summary.html)
+- [Generic 
record](https://avro.apache.org/docs/++version++/api/java/index.html)
+- [Specific 
record](https://avro.apache.org/docs/++version++/api/java/index.html)
+- [Reflect 
record](https://avro.apache.org/docs/++version++/api/java/org/apache/avro/reflect/package-summary.html)
 
 ### Generic record
 
-使用 JSON 定义 Avro schemas。你可以从 [Avro 
specification](https://avro.apache.org/docs/1.10.0/spec.html) 获取更多关于 Avro 
schemas 和类型的信息。
-此示例使用了一个在 [official Avro 
tutorial](https://avro.apache.org/docs/1.10.0/gettingstartedjava.html) 
中描述的示例相似的 Avro schema:
+使用 JSON 定义 Avro schemas。你可以从 [Avro 
specification](https://avro.apache.org/docs/++version++/spec.html) 获取更多关于 Avro 
schemas 和类型的信息。
+此示例使用了一个在 [official Avro 
tutorial](https://avro.apache.org/docs/++version++/gettingstartedjava.html) 
中描述的示例相似的 Avro schema:

Review Comment:
   This link seems broken



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