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https://issues.apache.org/jira/browse/SPARK-1378?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13956551#comment-13956551
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Sean Owen commented on SPARK-1378:
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In that case, it seemed that it was clearly a proxy issue since adding proxy
settings resolved the problem. That much is fine but not something to put in
the general build. It also wouldn't help to add another repo... er, well, it's
better to simply configure for access to the standard repos.
Try building the examples module (that's where it fails right?) with "-X" to
output a lot more debug info. It is probably saying in there somewhere why it
can't access the repos, and there may be a clue there. For example do you have
anything that would proxy an HTTPS connection? that could break access.
Also use "-U" to make sure it is not caching lookup failures from previous runs.
If you have a home machine or can try from home that might also rule out
network issues.
> Build error: org.eclipse.paho:mqtt-client
> -----------------------------------------
>
> Key: SPARK-1378
> URL: https://issues.apache.org/jira/browse/SPARK-1378
> Project: Spark
> Issue Type: Bug
> Components: Build
> Affects Versions: 0.9.0
> Reporter: Ken Williams
>
> Using Maven, I'm unable to build the 0.9.0 distribution I just downloaded. I
> attempt like so:
> {code}
> mvn -U -Pyarn -Dhadoop.version=2.2.0 -Dyarn.version=2.2.0 -DskipTests package
> {code}
> The Maven error is:
> {code}
> [ERROR] Failed to execute goal on project spark-examples_2.10: Could not
> resolve dependencies for project
> org.apache.spark:spark-examples_2.10:jar:0.9.0-incubating: Could not find
> artifact org.eclipse.paho:mqtt-client:jar:0.4.0 in nexus
> {code}
> My Maven version is 3.2.1, running on Java 1.7.0, using Scala 2.10.4.
> Is there an additional Maven repository I should add or something?
> If I go into the {{pom.xml}} and comment out the {{external/mqtt}} and
> {{examples}} modules, the build succeeds. I'm fine without the MQTT stuff,
> but I would really like to get the examples working because I haven't played
> with Spark before.
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