I don't know exactly. That current more or less recent version is broken (with spark 1.6.0) it seems.
On Sun, Feb 12, 2017 at 5:28 PM, Andrew Palumbo (JIRA) <j...@apache.org> wrote: > > [ https://issues.apache.org/jira/browse/MAHOUT-1939?page= > com.atlassian.jira.plugin.system.issuetabpanels:comment- > tabpanel&focusedCommentId=15863101#comment-15863101 ] > > Andrew Palumbo commented on MAHOUT-1939: > ---------------------------------------- > > [~dlyubimov] How many CDH Spark versions does this break? Is this a > blocker for the upcoming release? Seems so. > > > > fastutil version clash with spark distributions > > ----------------------------------------------- > > > > Key: MAHOUT-1939 > > URL: https://issues.apache.org/jira/browse/MAHOUT-1939 > > Project: Mahout > > Issue Type: Bug > > Reporter: Dmitriy Lyubimov > > Priority: Critical > > > > Version difference in fast util breaks sparse algebra (specifically, > RandomAccessSparseVector in assign, e.g., vec *= 5). > > observed version in CDH: > > file:/opt/cloudera/parcels/CDH-5.9.0-1.cdh5.9.0.p0.21/ > jars/fastutil-6.3.jar > > mahout uses 7.0.12 > > java.lang.UnsupportedOperationException > > at it.unimi.dsi.fastutil.ints.AbstractInt2DoubleMap$ > BasicEntry.setValue(AbstractInt2DoubleMap.java:146) > > at org.apache.mahout.math.RandomAccessSparseVector$ > RandomAccessElement.set(RandomAccessSparseVector.java:235) > > at org.apache.mahout.math.VectorView$DecoratorElement. > set(VectorView.java:181) > > at org.apache.mahout.math.AbstractVector.assign( > AbstractVector.java:536) > > at org.apache.mahout.math.scalabindings.RLikeVectorOps.$ > div$eq(RLikeVectorOps.scala:45) > > ... > > > > -- > This message was sent by Atlassian JIRA > (v6.3.15#6346) >
