[jira] [Resolved] (TOREE-407) Improve Branding on Site
[ https://issues.apache.org/jira/browse/TOREE-407?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Luciano Resende resolved TOREE-407. --- Resolution: Fixed Fix Version/s: Not Applicable > Improve Branding on Site > > > Key: TOREE-407 > URL: https://issues.apache.org/jira/browse/TOREE-407 > Project: TOREE > Issue Type: Improvement >Reporter: Kyle Kelley >Assignee: Luciano Resende > Fix For: Not Applicable > > > I want to recommend Toree to others as a Scala kernel. The messaging on > https://toree.incubator.apache.org/ is all about "remote spark" which muddies > what it actually does, which is provide kernels that are connected to Spark. > Toree, standalone, doesn't do anything without Jupyter. > Here's what I wish it read: > ``` > Apache Toree > Spark connected kernels for Jupyter projects - Scala, Python, and R > ``` -- This message was sent by Atlassian JIRA (v6.4.14#64029)
[jira] [Assigned] (TOREE-407) Improve Branding on Site
[ https://issues.apache.org/jira/browse/TOREE-407?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Luciano Resende reassigned TOREE-407: - Assignee: Luciano Resende > Improve Branding on Site > > > Key: TOREE-407 > URL: https://issues.apache.org/jira/browse/TOREE-407 > Project: TOREE > Issue Type: Improvement >Reporter: Kyle Kelley >Assignee: Luciano Resende > > I want to recommend Toree to others as a Scala kernel. The messaging on > https://toree.incubator.apache.org/ is all about "remote spark" which muddies > what it actually does, which is provide kernels that are connected to Spark. > Toree, standalone, doesn't do anything without Jupyter. > Here's what I wish it read: > ``` > Apache Toree > Spark connected kernels for Jupyter projects - Scala, Python, and R > ``` -- This message was sent by Atlassian JIRA (v6.4.14#64029)
CI builds only enable for Master branch ?
Are there any specific reasons to enable CI builds only for master? I find it useful to be able to get a PR and try it myself or even make modifications to validate/investigate issues and then push to a forked branch and see how the test suite is performing but they won't run unless I do a local branch change to remove the branch filter. If there are no specific reasons for that, I am planning to remove that configuration from Toree Travis CI configuration. -- Luciano Resende http://twitter.com/lresende1975 http://lresende.blogspot.com/
[jira] [Assigned] (TOREE-462) %%dataframe magic fails with df containing nulls and arrays
[ https://issues.apache.org/jira/browse/TOREE-462?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Luciano Resende reassigned TOREE-462: - Assignee: Alexander Dmitriev > %%dataframe magic fails with df containing nulls and arrays > --- > > Key: TOREE-462 > URL: https://issues.apache.org/jira/browse/TOREE-462 > Project: TOREE > Issue Type: Bug > Components: Kernel >Affects Versions: 0.1.0, 0.2.0 >Reporter: Luciano Resende >Assignee: Alexander Dmitriev > Fix For: 0.2.0 > > > When a DF contains null, it breaks with server error: > [Stage 2:===> (17 + 2) / > 19]18/01/01 17:09:46 WARN TaskSetManager: Lost task 6.0 in stage 2.0 (TID 11, > 192.168.1.126, executor 1): java.lang.NullPointerException > at > org.apache.toree.utils.DataFrameConverter$$anonfun$3$$anonfun$4.apply(DataFrameConverter.scala:55) > at > org.apache.toree.utils.DataFrameConverter$$anonfun$3$$anonfun$4.apply(DataFrameConverter.scala:54) > at > scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234) > at > scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234) > at > scala.collection.IndexedSeqOptimized$class.foreach(IndexedSeqOptimized.scala:33) > at scala.collection.mutable.WrappedArray.foreach(WrappedArray.scala:35) > at scala.collection.TraversableLike$class.map(TraversableLike.scala:234) > at scala.collection.AbstractTraversable.map(Traversable.scala:104) > at > org.apache.toree.utils.DataFrameConverter$$anonfun$3.apply(DataFrameConverter.scala:54) > at > org.apache.toree.utils.DataFrameConverter$$anonfun$3.apply(DataFrameConverter.scala:53) > at scala.collection.Iterator$$anon$11.next(Iterator.scala:409) > at scala.collection.Iterator$$anon$10.next(Iterator.scala:393) > at scala.collection.Iterator$class.foreach(Iterator.scala:893) > at scala.collection.AbstractIterator.foreach(Iterator.scala:1336) > at > scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:59) > at > scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:104) > at > scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:48) > at scala.collection.TraversableOnce$class.to(TraversableOnce.scala:310) > at scala.collection.AbstractIterator.to(Iterator.scala:1336) > at > scala.collection.TraversableOnce$class.toBuffer(TraversableOnce.scala:302) > at scala.collection.AbstractIterator.toBuffer(Iterator.scala:1336) > at > scala.collection.TraversableOnce$class.toArray(TraversableOnce.scala:289) > at scala.collection.AbstractIterator.toArray(Iterator.scala:1336) > at > org.apache.spark.rdd.RDD$$anonfun$take$1$$anonfun$29.apply(RDD.scala:1354) > at > org.apache.spark.rdd.RDD$$anonfun$take$1$$anonfun$29.apply(RDD.scala:1354) > at > org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:2062) > at > org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:2062) > at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87) > at org.apache.spark.scheduler.Task.run(Task.scala:108) > at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:335) > at > java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149) > at > java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624) > at java.lang.Thread.run(Thread.java:748) -- This message was sent by Atlassian JIRA (v6.4.14#64029)
[jira] [Commented] (TOREE-462) %%dataframe magic fails with df containing nulls and arrays
[ https://issues.apache.org/jira/browse/TOREE-462?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16325097#comment-16325097 ] Alexander Dmitriev commented on TOREE-462: -- [~luciano resende] I've created jira account as you requested in [pr|https://github.com/apache/incubator-toree/pull/148] > %%dataframe magic fails with df containing nulls and arrays > --- > > Key: TOREE-462 > URL: https://issues.apache.org/jira/browse/TOREE-462 > Project: TOREE > Issue Type: Bug > Components: Kernel >Affects Versions: 0.1.0, 0.2.0 >Reporter: Luciano Resende > Fix For: 0.2.0 > > > When a DF contains null, it breaks with server error: > [Stage 2:===> (17 + 2) / > 19]18/01/01 17:09:46 WARN TaskSetManager: Lost task 6.0 in stage 2.0 (TID 11, > 192.168.1.126, executor 1): java.lang.NullPointerException > at > org.apache.toree.utils.DataFrameConverter$$anonfun$3$$anonfun$4.apply(DataFrameConverter.scala:55) > at > org.apache.toree.utils.DataFrameConverter$$anonfun$3$$anonfun$4.apply(DataFrameConverter.scala:54) > at > scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234) > at > scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234) > at > scala.collection.IndexedSeqOptimized$class.foreach(IndexedSeqOptimized.scala:33) > at scala.collection.mutable.WrappedArray.foreach(WrappedArray.scala:35) > at scala.collection.TraversableLike$class.map(TraversableLike.scala:234) > at scala.collection.AbstractTraversable.map(Traversable.scala:104) > at > org.apache.toree.utils.DataFrameConverter$$anonfun$3.apply(DataFrameConverter.scala:54) > at > org.apache.toree.utils.DataFrameConverter$$anonfun$3.apply(DataFrameConverter.scala:53) > at scala.collection.Iterator$$anon$11.next(Iterator.scala:409) > at scala.collection.Iterator$$anon$10.next(Iterator.scala:393) > at scala.collection.Iterator$class.foreach(Iterator.scala:893) > at scala.collection.AbstractIterator.foreach(Iterator.scala:1336) > at > scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:59) > at > scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:104) > at > scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:48) > at scala.collection.TraversableOnce$class.to(TraversableOnce.scala:310) > at scala.collection.AbstractIterator.to(Iterator.scala:1336) > at > scala.collection.TraversableOnce$class.toBuffer(TraversableOnce.scala:302) > at scala.collection.AbstractIterator.toBuffer(Iterator.scala:1336) > at > scala.collection.TraversableOnce$class.toArray(TraversableOnce.scala:289) > at scala.collection.AbstractIterator.toArray(Iterator.scala:1336) > at > org.apache.spark.rdd.RDD$$anonfun$take$1$$anonfun$29.apply(RDD.scala:1354) > at > org.apache.spark.rdd.RDD$$anonfun$take$1$$anonfun$29.apply(RDD.scala:1354) > at > org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:2062) > at > org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:2062) > at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87) > at org.apache.spark.scheduler.Task.run(Task.scala:108) > at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:335) > at > java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149) > at > java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624) > at java.lang.Thread.run(Thread.java:748) -- This message was sent by Atlassian JIRA (v6.4.14#64029)
