pan3793 commented on code in PR #41178:
URL: https://github.com/apache/spark/pull/41178#discussion_r1197947249


##########
docs/sql-data-sources-parquet.md:
##########
@@ -350,7 +350,7 @@ Dataset<Row> df2 = 
spark.read().parquet("/path/to/table.parquet.encrypted");
 
 #### KMS Client
 
-The InMemoryKMS class is provided only for illustration and simple 
demonstration of Parquet encryption functionality. **It should not be used in a 
real deployment**. The master encryption keys must be kept and managed in a 
production-grade KMS system, deployed in user's organization. Rollout of Spark 
with Parquet encryption requires implementation of a client class for the KMS 
server. Parquet provides a plug-in 
[interface](https://github.com/apache/parquet-mr/blob/1.13.0/parquet-hadoop/src/main/java/org/apache/parquet/crypto/keytools/KmsClient.java)
 for development of such classes,
+The InMemoryKMS class is provided only for illustration and simple 
demonstration of Parquet encryption functionality. **It should not be used in a 
real deployment**. The master encryption keys must be kept and managed in a 
production-grade KMS system, deployed in user's organization. Rollout of Spark 
with Parquet encryption requires implementation of a client class for the KMS 
server. Parquet provides a plug-in 
[interface](https://github.com/apache/parquet-mr/blob/1.13.1/parquet-hadoop/src/main/java/org/apache/parquet/crypto/keytools/KmsClient.java)
 for development of such classes,

Review Comment:
   Thanks for checking, fixed.



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