diff --git a/docs/integrations/data-ingestion/apache-spark/spark-native-connector.md b/docs/integrations/data-ingestion/apache-spark/spark-native-connector.md
index 56b23326d12..b5506ee0ead 100644
--- a/docs/integrations/data-ingestion/apache-spark/spark-native-connector.md
+++ b/docs/integrations/data-ingestion/apache-spark/spark-native-connector.md
@@ -137,7 +137,7 @@ If you want to avoid copying the JAR files to your Spark client node, you can us
 
 ```text
   --repositories https://{maven-central-mirror or private-nexus-repo} \
-  --packages com.clickhouse.spark:clickhouse-spark-runtime-{{ spark_binary_version }}_{{ scala_binary_version }}:{{ stable_version }},com.clickhouse:clickhouse-jdbc:{{ clickhouse_jdbc_version }}:all
+  --packages com.clickhouse.spark:clickhouse-spark-runtime-{{ spark_binary_version }}_{{ scala_binary_version }}:{{ stable_version }},com.clickhouse:clickhouse-jdbc:{{ clickhouse_jdbc_version }}
 ```
 
 Note: For SQL-only use cases, [Apache Kyuubi](https://github.com/apache/kyuubi) is recommended
@@ -476,7 +476,7 @@ ClickHouse.
 Spark SQL allows you to write queries exactly as you would in ClickHouse,
 so you can directly execute commands such as CREATE TABLE, TRUNCATE, and more - without modification, for instance:
 
-note:::
+:::note
 When using Spark SQL, only one statement can be executed at a time.
 :::