[ https://issues.apache.org/jira/browse/HADOOP-16152?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16782083#comment-16782083
]
Wei-Chiu Chuang commented on HADOOP-16152:
------------------------------------------
Initially I thought maybe we missed jetty-server in the shaded jar. But I did see SessionHandler
class in the shaded jar:
{noformat}
$ jar tf hadoop-client-modules/hadoop-client-minicluster/target/hadoop-client-minicluster-3.3.0-SNAPSHOT.jar
|grep "jetty\/server\/session"
...
org/apache/hadoop/shaded/org/eclipse/jetty/server/session/SessionHandler.class
{noformat}
So if the Jetty 9.3 jar is shaded into hadoop-client-minicluster jar, I don't see how this
can happen. Did Hadoop 3.1 fail to ship shaded Hadoop jars (shading could be disabled optionally)?
Does Spark link hadoop-common instead of hadoop-client-minicluster jars?
For information, we maintain a list of downstream consumable artifacts at [https://hadoop.apache.org/docs/r3.1.0/hadoop-project-dist/hadoop-common/DownstreamDev.html#Build_Artifacts]
* hadoop-client
* hadoop-client-api
* hadoop-client-minicluster
* hadoop-client-runtime
* hadoop-hdfs-client
* hadoop-hdfs-native-client
* hadoop-mapreduce-client-app
* hadoop-mapreduce-client-common
* hadoop-mapreduce-client-core
* hadoop-mapreduce-client-jobclient
* hadoop-mapreduce-client-nativetask
* hadoop-yarn-client
> Upgrade Eclipse Jetty version to 9.4.x
> --------------------------------------
>
> Key: HADOOP-16152
> URL: https://issues.apache.org/jira/browse/HADOOP-16152
> Project: Hadoop Common
> Issue Type: Improvement
> Affects Versions: 3.2.0
> Reporter: Yuming Wang
> Priority: Major
>
> Some big data projects have been upgraded Jetty to 9.4.x, which causes some compatibility
issues.
> Spark: [https://github.com/apache/spark/blob/5a92b5a47cdfaea96a9aeedaf80969d825a382f2/pom.xml#L141]
> Calcite: [https://github.com/apache/calcite/blob/avatica-1.13.0-rc0/pom.xml#L87]
> Hive: https://issues.apache.org/jira/browse/HIVE-21211
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