pan3793 commented on code in PR #4691:
URL: https://github.com/apache/zeppelin/pull/4691#discussion_r1536635158
##########
rlang/pom.xml:
##########
@@ -116,18 +116,10 @@
<dependency>
<groupId>org.apache.hadoop</groupId>
- <artifactId>hadoop-client</artifactId>
+ <artifactId>hadoop-client-runtime</artifactId>
<version>${hadoop.version}</version>
<scope>compile</scope>
</dependency>
-
- <dependency>
- <groupId>org.apache.hadoop</groupId>
- <artifactId>hadoop-common</artifactId>
- <version>${hadoop.version}</version>
- <scope>compile</scope>
- </dependency>
-
<dependency>
Review Comment:
I revised this question, the rlang interpreter can work both independently
and combine with SparkR, for independent case, Hadoop deps are not required,
for SparkR case, the Hadoop jars are handled by Spark runtime, either ship
Hadoop jars in SPARK_HOME/jars, or setup HADOOP_CLASSPATH properly, so the
rlang interpreter don't need to ship Hadoop deps
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