> tar (child): Error is not recoverable: exiting now
> tar: Child returned status 2
> tar: Error is not recoverable: exiting now
> scripts/setup-integration-test-env.sh: line 85:
> /home/srowen/spark-2.4.0/resource-managers/kubernetes/
> integration-tests/target/spark-dist-unpacked/bin/docker-image-tool.sh:


It seems you are missing the distro file... here is how I run it locally:

DOCKER_USERNAME=...
SPARK_K8S_IMAGE_TAG=...

./dev/make-distribution.sh --name test --tgz -Phadoop-2.7 -Pkubernetes
-Phive
tar -zxvf spark-2.4.0-SNAPSHOT-bin-test.tgz
cd spark-2.4.0-SNAPSHOT-bin-test
./bin/docker-image-tool.sh -r $DOCKER_USERNAME -t $SPARK_K8S_IMAGE_TAG build
cd ..
TGZ_PATH=$(pwd)/spark-2.4.0-SNAPSHOT-bin-test.tgz
cd resource-managers/kubernetes/integration-tests
./dev/dev-run-integration-tests.sh --image-tag $SPARK_K8S_IMAGE_TAG
--spark-tgz $TGZ_PATH --image-repo $DOCKER_USERNAME

Stavros

On Tue, Oct 23, 2018 at 1:54 AM, Sean Owen <sro...@gmail.com> wrote:

> Provisionally looking good to me, but I had a few questions.
>
> We have these open for 2.4, but I presume they aren't actually going
> to be in 2.4 and should be untargeted:
>
> SPARK-25507 Update documents for the new features in 2.4 release
> SPARK-25179 Document the features that require Pyarrow 0.10
> SPARK-25783 Spark shell fails because of jline incompatibility
> SPARK-25347 Document image data source in doc site
> SPARK-25584 Document libsvm data source in doc site
> SPARK-25346 Document Spark builtin data sources
> SPARK-24464 Unit tests for MLlib's Instrumentation
> SPARK-23197 Flaky test: spark.streaming.ReceiverSuite.
> "receiver_life_cycle"
> SPARK-22809 pyspark is sensitive to imports with dots
> SPARK-21030 extend hint syntax to support any expression for Python and R
>
> Comments in several of the doc issues suggest they are needed for 2.4
> though. How essential?
>
> (Brief digression: SPARK-21030 is an example of a pattern I see
> sometimes. Parent Epic A is targeted for version X. Children B and C
> are not. Epic A's description is basically "do X and Y". Is the parent
> helping? And now that Y is done, is there a point in tracking X with
> two JIRAs? can I just close the Epic?)
>
> I am not sure I've tried running K8S in my test runs before, but I get
> this on my Linux machine:
>
> [INFO] --- exec-maven-plugin:1.4.0:exec (setup-integration-test-env) @
> spark-kubernetes-integration-tests_2.12 ---
> fatal: not a git repository (or any of the parent directories): .git
> tar (child): --strip-components=1: Cannot open: No such file or directory
> tar (child): Error is not recoverable: exiting now
> tar: Child returned status 2
> tar: Error is not recoverable: exiting now
> scripts/setup-integration-test-env.sh: line 85:
> /home/srowen/spark-2.4.0/resource-managers/kubernetes/
> integration-tests/target/spark-dist-unpacked/bin/docker-image-tool.sh:
> No such file or directory
> /home/srowen/spark-2.4.0/resource-managers/kubernetes/integration-tests
> [INFO]
> [INFO] --- scalatest-maven-plugin:1.0:test (integration-test) @
> spark-kubernetes-integration-tests_2.12 ---
> Discovery starting.
> Discovery completed in 289 milliseconds.
> Run starting. Expected test count is: 14
> KubernetesSuite:
> org.apache.spark.deploy.k8s.integrationtest.KubernetesSuite *** ABORTED
> ***
>   java.lang.NullPointerException:
>   at org.apache.spark.deploy.k8s.integrationtest.
> KubernetesSuite.beforeAll(KubernetesSuite.scala:92)
>   at org.scalatest.BeforeAndAfterAll.liftedTree1$
> 1(BeforeAndAfterAll.scala:212)
>   at org.scalatest.BeforeAndAfterAll.run(BeforeAndAfterAll.scala:210)
>   at org.scalatest.BeforeAndAfterAll.run$(BeforeAndAfterAll.scala:208)
>   at org.apache.spark.deploy.k8s.integrationtest.KubernetesSuite.org
> $scalatest$BeforeAndAfter$$super$run(KubernetesSuite.scala:39)
>   at org.scalatest.BeforeAndAfter.run(BeforeAndAfter.scala:258)
>   at org.scalatest.BeforeAndAfter.run$(BeforeAndAfter.scala:256)
>   at org.apache.spark.deploy.k8s.integrationtest.KubernetesSuite.run(
> KubernetesSuite.scala:39)
>   at org.scalatest.Suite.callExecuteOnSuite$1(Suite.scala:1210)
>   at org.scalatest.Suite.$anonfun$runNestedSuites$1(Suite.scala:1257)
>   ...
>
> Clearly it's expecting something about the env that isn't true, but I
> don't know if it's a problem with those expectations versus what is in
> the source release, or, just something to do with my env. This is with
> Scala 2.12.
>
>
>
> On Mon, Oct 22, 2018 at 12:42 PM Wenchen Fan <cloud0...@gmail.com> wrote:
> >
> > Please vote on releasing the following candidate as Apache Spark version
> 2.4.0.
> >
> > The vote is open until October 26 PST and passes if a majority +1 PMC
> votes are cast, with
> > a minimum of 3 +1 votes.
> >
> > [ ] +1 Release this package as Apache Spark 2.4.0
> > [ ] -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 v2.4.0-rc4 (commit
> e69e2bfa486d8d3b9d203b96ca9c0f37c2b6cabe):
> > https://github.com/apache/spark/tree/v2.4.0-rc4
> >
> > The release files, including signatures, digests, etc. can be found at:
> > https://dist.apache.org/repos/dist/dev/spark/v2.4.0-rc4-bin/
> >
> > Signatures used for Spark RCs can be found in this file:
> > https://dist.apache.org/repos/dist/dev/spark/KEYS
> >
> > The staging repository for this release can be found at:
> > https://repository.apache.org/content/repositories/orgapachespark-1290
> >
> > The documentation corresponding to this release can be found at:
> > https://dist.apache.org/repos/dist/dev/spark/v2.4.0-rc4-docs/
> >
> > The list of bug fixes going into 2.4.0 can be found at the following URL:
> > https://issues.apache.org/jira/projects/SPARK/versions/12342385
> >
> > FAQ
> >
> > =========================
> > 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.
> >
> > If you're working in PySpark you can set up a virtual env and install
> > the current RC and see if anything important breaks, in the Java/Scala
> > you can add the staging repository to your projects resolvers and test
> > with the RC (make sure to clean up the artifact cache before/after so
> > you don't end up building with a out of date RC going forward).
> >
> > ===========================================
> > What should happen to JIRA tickets still targeting 2.4.0?
> > ===========================================
> >
> > The current list of open tickets targeted at 2.4.0 can be found at:
> > https://issues.apache.org/jira/projects/SPARK and search for "Target
> Version/s" = 2.4.0
> >
> > 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 an
> > appropriate release.
> >
> > ==================
> > But my bug isn't fixed?
> > ==================
> >
> > In order to make timely releases, we will typically not hold the
> > release unless the bug in question is a regression from the previous
> > release. That being said, if there is something which is a regression
> > that has not been correctly targeted please ping me or a committer to
> > help target the issue.
>
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