-1
I hit https://issues.apache.org/jira/browse/SPARK-18816, which prevents
executor page from showing the log links if an application does not have
executors initially.
On Mon, Dec 12, 2016 at 3:02 PM, Marcelo Vanzin <van...@cloudera.com> wrote:
> Actually this is not a simple pom change. The code in
> UDFRegistration.scala calls this method:
>
> if (returnType == null) {
> returnType =
> JavaTypeInference.inferDataType(TypeToken.of(udfReturnType))._1
> }
>
> Because we shade guava, it's generally not very safe to call methods
> in different modules that expose shaded APIs. Can this code be
> modified to call the variant that just takes a java.lang.Class instead
> of Guava's TypeToken? It seems like that would work, since that method
> basically just wraps the argument with "TypeToken.of".
>
>
>
> On Mon, Dec 12, 2016 at 2:03 PM, Marcelo Vanzin <van...@cloudera.com>
> wrote:
> > I'm running into this when building / testing on 1.7 (haven't tried 1.8):
> >
> > udf3Test(test.org.apache.spark.sql.JavaUDFSuite) Time elapsed: 0.079
> > sec <<< ERROR!
> > java.lang.NoSuchMethodError:
> > org.apache.spark.sql.catalyst.JavaTypeInference$.
> inferDataType(Lcom/google/common/reflect/TypeToken;)Lsc
> > ala/Tuple2;
> > at test.org.apache.spark.sql.JavaUDFSuite.udf3Test(
> JavaUDFSuite.java:107)
> >
> >
> > Results :
> >
> > Tests in error:
> > JavaUDFSuite.udf3Test:107 ยป NoSuchMethod
> > org.apache.spark.sql.catalyst.JavaTyp...
> >
> >
> > Given the error I'm mostly sure it's something easily fixable by
> > adding Guava explicitly in the pom, so probably shouldn't block
> > anything.
> >
> >
> > On Thu, Dec 8, 2016 at 12:39 AM, Reynold Xin <r...@databricks.com>
> wrote:
> >> Please vote on releasing the following candidate as Apache Spark version
> >> 2.1.0. The vote is open until Sun, December 11, 2016 at 1:00 PT and
> passes
> >> if a majority of at least 3 +1 PMC votes are cast.
> >>
> >> [ ] +1 Release this package as Apache Spark 2.1.0
> >> [ ] -1 Do not release this package because ...
> >>
> >>
> >> To learn more about Apache Spark, please see http://spark.apache.org/
> >>
> >> The tag to be voted on is v2.1.0-rc2
> >> (080717497365b83bc202ab16812ced93eb1ea7bd)
> >>
> >> List of JIRA tickets resolved are:
> >> https://issues.apache.org/jira/issues/?jql=project%20%
> 3D%20SPARK%20AND%20fixVersion%20%3D%202.1.0
> >>
> >> The release files, including signatures, digests, etc. can be found at:
> >> http://people.apache.org/~pwendell/spark-releases/spark-2.1.0-rc2-bin/
> >>
> >> Release artifacts are signed with the following key:
> >> https://people.apache.org/keys/committer/pwendell.asc
> >>
> >> The staging repository for this release can be found at:
> >> https://repository.apache.org/content/repositories/orgapachespark-1217
> >>
> >> The documentation corresponding to this release can be found at:
> >> http://people.apache.org/~pwendell/spark-releases/spark-2.1.0-rc2-docs/
> >>
> >>
> >> (Note that the docs and staging repo are still being uploaded and will
> be
> >> available soon)
> >>
> >>
> >> =======================================
> >> How can I help test this release?
> >> =======================================
> >> If you are a Spark user, you can help us test this release by taking an
> >> existing Spark workload and running on this release candidate, then
> >> reporting any regressions.
> >>
> >> ===============================================================
> >> What should happen to JIRA tickets still targeting 2.1.0?
> >> ===============================================================
> >> Committers should look at those and triage. Extremely important bug
> fixes,
> >> documentation, and API tweaks that impact compatibility should be
> worked on
> >> immediately. Everything else please retarget to 2.1.1 or 2.2.0.
> >
> >
> >
> > --
> > Marcelo
>
>
>
> --
> Marcelo
>
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>
