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Hudson commented on MAHOUT-1597: -------------------------------- SUCCESS: Integrated in Mahout-Quality #2732 (See [https://builds.apache.org/job/Mahout-Quality/2732/]) MAHOUT-1597: A + 1.0 (fixes) (dlyubimov: rev 7a50a291b4598e9809f9acf609b92175ce7f953b) * spark/src/test/scala/org/apache/mahout/sparkbindings/drm/DrmLikeSuite.scala * spark/src/main/scala/org/apache/mahout/sparkbindings/drm/CheckpointedDrmSpark.scala * math-scala/src/main/scala/org/apache/mahout/math/drm/logical/OpAewScalar.scala > A + 1.0 (element-wise scala operation) gives wrong result if rdd is missing > rows, Spark side > -------------------------------------------------------------------------------------------- > > Key: MAHOUT-1597 > URL: https://issues.apache.org/jira/browse/MAHOUT-1597 > Project: Mahout > Issue Type: Bug > Affects Versions: 0.9 > Reporter: Dmitriy Lyubimov > Assignee: Dmitriy Lyubimov > Fix For: 1.0 > > > {code} > // Concoct an rdd with missing rows > val aRdd: DrmRdd[Int] = sc.parallelize( > 0 -> dvec(1, 2, 3) :: > 3 -> dvec(3, 4, 5) :: Nil > ).map { case (key, vec) => key -> (vec: Vector)} > val drmA = drmWrap(rdd = aRdd) > val controlB = inCoreA + 1.0 > val drmB = drmA + 1.0 > (drmB -: controlB).norm should be < 1e-10 > {code} > should not fail. > it was failing due to elementwise scalar operator only evaluates rows > actually present in dataset. > In case of Int-keyed row matrices, there are implied rows that yet may not be > present in RDD. > Our goal is to detect the condition and evaluate missing rows prior to > physical operators that don't work with missing implied rows. -- This message was sent by Atlassian JIRA (v6.2#6252)