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https://issues.apache.org/jira/browse/MAHOUT-1615?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14165956#comment-14165956
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ASF GitHub Bot commented on MAHOUT-1615:
----------------------------------------
GitHub user avati opened a pull request:
https://github.com/apache/mahout/pull/58
MAHOUT-1615: fix up HDFS ClassTag reading from H2O bindings
Use the same approach taken by spark.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/avati/mahout MAHOUT-1615
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/mahout/pull/58.patch
To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:
This closes #58
----
commit ab3bd213fd3e325ec9163b1630fdda6265763be9
Author: Anand Avati <[email protected]>
Date: 2014-10-09T22:58:13Z
MAHOUT-1615: Fix H2O bindings to read proper ClassTag from HDFS
Signed-off-by: Anand Avati <[email protected]>
commit 7d9a3d908598e7ebfc9280171107031ceb91d04c
Author: Anand Avati <[email protected]>
Date: 2014-10-09T23:01:14Z
MAHOUT-1615: Move common helpers into math-scala from spark
Signed-off-by: Anand Avati <[email protected]>
----
> 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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