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https://issues.apache.org/jira/browse/SPARK-5978?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14336443#comment-14336443
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Sean Owen commented on SPARK-5978:
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Hm, not sure I can reproduce this. If you build for Hadoop 2 and look at the
dependency tree (e.g. {{mvn -Phadoop-2.4 -Dhadoop.version=2.4.0 dependency:tree
-pl examples}}) then it looks like you get Hadoop 2, HBase's Hadoop 2 flavor,
etc.:
{code}
[INFO] | +- org.apache.hadoop:hadoop-client:jar:2.4.0:compile
...
[INFO] +- org.apache.hbase:hbase-testing-util:jar:0.98.7-hadoop2:compile
{code}
Is that how you built it?
> Spark examples cannot compile with Hadoop 2
> -------------------------------------------
>
> Key: SPARK-5978
> URL: https://issues.apache.org/jira/browse/SPARK-5978
> Project: Spark
> Issue Type: Bug
> Components: Examples, PySpark
> Affects Versions: 1.2.0, 1.2.1
> Reporter: Michael Nazario
> Labels: hadoop-version
>
> This is a regression from Spark 1.1.1.
> The Spark Examples includes an example for an avro converter for PySpark.
> When I was trying to debug a problem, I discovered that even though you can
> build with Hadoop 2 for Spark 1.2.0, an hbase dependency depends on Hadoop 1
> somewhere else in the examples code.
> An easy fix would be to separate the examples into hadoop specific versions.
> Another way would be to fix the hbase dependencies so that they don't rely on
> hadoop 1 specific code.
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