I don’t know what the cause is yet.
The test should be skipped because of this check
https://github.com/apache/spark/blob/branch-2.4/R/pkg/inst/tests/testthat/test_basic.R#L21
And this
https://github.com/apache/spark/blob/branch-2.4/R/pkg/inst/tests/testthat/test_basic.R#L57
But it ran:
I'm wondering if we should change the order of publishing next time.
Although it's not announced, we already have uploaded artifacts for (1),
(2), (3).
1. Download: https://www-us.apache.org/dist/spark/spark-2.4.0/
2. Maven:
What can we do to get the release through? is there any way to
circumvent these tests or otherwise hack it? or does it need a
maintenance release?
On Mon, Nov 5, 2018 at 8:53 PM Felix Cheung wrote:
>
> FYI. SparkR submission failed. It seems to detect Java 11 correctly with
> vignettes but not
FYI. SparkR submission failed. It seems to detect Java 11 correctly with
vignettes but not skipping tests as would be expected.
Error: processing vignette ‘sparkr-vignettes.Rmd’ failed with diagnostics:
Java version 8 is required for this package; found version: 11.0.1
Execution halted
*
the maven build is quite happy:
https://amplab.cs.berkeley.edu/jenkins/job/spark-master-test-maven-hadoop-2.7-ubuntu-testing/
i've wiped all the cached deps from .ivy2 on one ubuntu worker, pinned the
build to that (research-jenkins-worker-08) and re-launched the sbt build.
let's see if it fails
Have you tried Maven instead of SBT? This looks like a Java dependency
problem, e.g. a wrong version of Avro is picked.
On Tue, Nov 6, 2018 at 8:30 AM shane knapp wrote:
> i'm really close (for real: really close!) on the ubuntu port... but one
> build has been a thorn in my side and i was
i'm really close (for real: really close!) on the ubuntu port... but one
build has been a thorn in my side and i was wondering if i could get some
extra eyes on this as i grind through the remaining few pieces of my own
personal system dependency hell. :)
the job in question is:
Hi spark devs,
Who are the main committers/reviewers for the [ML] and [MLLib] namespace
currently? Could someone please review & merge this simple PR which I reviewed:
https://github.com/apache/spark/pull/22087
I also have two PRs for review, one of which was approved by one reviewer back
in
Hello,
Has there been any discussion of integrating the spark project with the
updated YARN timeline service?
I had seen https://issues.apache.org/jira/browse/SPARK-1537 for the
original Timeline Server integration but activity seems to have stalled.
Would that be the place to track any new
I also looked into the MemoryStream as a workaround but I do see that it is
not recommended for production use. But then, since I am converting this to
a DS immediately, I couldn't see a problem with mutation.
Could you let me know if this is a better idea than to drop in an empty
file (which is
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