unsafe/compile error

Hello there!I'm getting a compilation error when trying to run sbt mllib/test.Here're the errors: [info] Compiling 15 Java sources to /media/SB-1TB/workarea/apache-spark/unsafe/target/scala-2.10/classes...[error]

Re: unsafe/compile error

After an sbt update the tests run. But all the cluster ones fail on task size should be small in both training and prediction -- View this message in context: http://apache-spark-developers-list.1001551.n3.nabble.com/unsafe-compile-error-tp12815p12816.html Sent from the Apache Spark Developers

JIRA 2344 status (Fuzzy C-Means)

Hi guys, Does anyone know what is the status of this issue? (https://issues.apache.org/jira/browse/SPARK-2344) Beniamino was supposed to add an implementation but it seems that his code was removed from Github (https://github.com/bdelpizzo/mllib-extension/blob/master/clustering/FCM.scala) and

Re: unsafe/compile error

In addition, if you want to run a single suite, you may use: mllib/testOnly $SUITE_NAME with sbt. On Jun 21, 2015 10:32 AM, Burak Yavuz brk...@gmail.com wrote: You need to build an assembly jar for the cluster tests to pass. You may use 'sbt assembly/assembly'. Best, Burak On Jun 21, 2015

Re: unsafe/compile error

You need to build an assembly jar for the cluster tests to pass. You may use 'sbt assembly/assembly'. Best, Burak On Jun 21, 2015 3:43 AM, acidghost andreajemm...@gmail.com wrote: After an sbt update the tests run. But all the cluster ones fail on task size should be small in both training and

Re: unsafe/compile error

Put them in quotes, e.g. sbt/sbt mllib/testOnly *NaiveBayesSuite On Sun, Jun 21, 2015 at 11:15 AM, acidghost andreajemm...@gmail.com wrote: Something like mllib/testOnly NaiveBayesSuite is what I need! But it's not working, runs all mllib suites. -- View this message in context:

Re: Approximate rank-based statistics (median, 95-th percentile, etc.) for Spark

One way for this to happen is to have the intermediate data for the aggregate function be a byte array operated using Unsafe -- that plays very nicely with the binary data processing we are doing (i.e. fast serialization, no gc). The downside is that we'd need to re-implement whatever algorithm

Web UI and History Server are Inconsistent; Web UI sometimes cannot process logs

I am running a very simple program (WordCount) on Spark stand-alone mode. I find that when I examine the web UI, a couple bugs arise: 1. There is a discrepancy between the number denoting the duration of the application when I run the history server and the number given by the web UI (default

[jenkins] ERROR: Publisher 'Publish JUnit test result report' failed: No test report files were found. Configuration error?

Hi all, How do I deal with the error on the official Jenkins? https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/35412/console ``` Archiving unit tests logs... Send successful. Attempting to post to Github... Post successful. Archiving artifacts WARN: No artifacts found that

Re: [jenkins] ERROR: Publisher 'Publish JUnit test result report' failed: No test report files were found. Configuration error?

This is a side effect of the new pull request tester script interacting badly with a Jenkins plugin, not anything caused by your changes. I'm working on a fix but in the meantime I'd just trust what SparkQA says. Sent from my phone On Jun 21, 2015, at 1:54 PM, Yu Ishikawa