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https://issues.apache.org/jira/browse/MAHOUT-1615?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14167625#comment-14167625
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Hudson commented on MAHOUT-1615:
--------------------------------
SUCCESS: Integrated in Mahout-Quality #2821 (See
[https://builds.apache.org/job/Mahout-Quality/2821/])
MAHOUT-1615: fix up HDFS ClassTag reading from H2O bindings. this closes
apache/mahout#58 (ap.dev: rev 61c9e1a92975de5891f082068fb708dc30cfafa1)
* h2o/src/main/scala/org/apache/mahout/common/DrmMetadata.scala
* pom.xml
* h2o/src/main/scala/org/apache/mahout/h2obindings/H2OEngine.scala
* h2o/src/main/scala/org/apache/mahout/common/Hadoop1HDFSUtil.scala
* h2o/src/main/scala/org/apache/mahout/common/HDFSUtil.scala
* CHANGELOG
> SparkEngine drmFromHDFS returning the same Key for all Key,Vec Pairs for
> Text-Keyed SequenceFiles
> -------------------------------------------------------------------------------------------------
>
> Key: MAHOUT-1615
> URL: https://issues.apache.org/jira/browse/MAHOUT-1615
> Project: Mahout
> Issue Type: Bug
> Reporter: Andrew Palumbo
> Assignee: Andrew Palumbo
> Fix For: 1.0
>
>
> When reading in seq2sparse output from HDFS in the spark-shell of form
> <Text,VectorWriteable> SparkEngine's drmFromHDFS method is creating rdds
> with the same Key for all Pairs:
> {code}
> mahout> val drmTFIDF= drmFromHDFS( path =
> "/tmp/mahout-work-andy/20news-test-vectors/part-r-00000")
> {code}
> Has keys:
> {...}
> key: /talk.religion.misc/84570
> key: /talk.religion.misc/84570
> key: /talk.religion.misc/84570
> {...}
> for the entire set. This is the last Key in the set.
> The problem can be traced to the first line of drmFromHDFS(...) in
> SparkEngine.scala:
> {code}
> val rdd = sc.sequenceFile(path, classOf[Writable], classOf[VectorWritable],
> minPartitions = parMin)
> // Get rid of VectorWritable
> .map(t => (t._1, t._2.get()))
> {code}
> which gives the same key for all t._1.
>
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