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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2017/04/27 21:36:04 UTC
[jira] [Assigned] (SPARK-20514) Upgrade Jetty to 9.3.13.v20161014
[ https://issues.apache.org/jira/browse/SPARK-20514?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Apache Spark reassigned SPARK-20514:
------------------------------------
Assignee: (was: Apache Spark)
> Upgrade Jetty to 9.3.13.v20161014
> ---------------------------------
>
> Key: SPARK-20514
> URL: https://issues.apache.org/jira/browse/SPARK-20514
> Project: Spark
> Issue Type: Bug
> Components: Spark Core
> Affects Versions: 2.2.0
> Reporter: Mark Grover
>
> Currently, we are using Jetty version 9.2.16.v20160414.
> However, Hadoop 3, uses [9.3.11.v20160721|https://github.com/apache/hadoop/blob/release-3.0.0-alpha2-RC0/hadoop-project/pom.xml#L38] (Jetty upgrade was brought in by HADOOP-10075).
> Currently, when you try to build Spark with Hadoop 3, due to this incompatibilities in jetty versions used by Hadoop and Spark, compilation fails with:
> {code}
> [ERROR] source/core/src/main/scala/org/apache/spark/ui/JettyUtils.scala:31: error: object gzip is not a member of package org.eclipse.jetty.servlets
> [ERROR] import org.eclipse.jetty.servlets.gzip.GzipHandler
> [ERROR] ^
> [ERROR] source/core/src/main/scala/org/apache/spark/ui/JettyUtils.scala:238: error: not found: type GzipHandler
> [ERROR] val gzipHandler = new GzipHandler
> [ERROR] ^
> [ERROR] two errors found
> {code}
> So, it'd be good to upgrade Jetty to get us closer to working with Hadoop 3.
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