[SPARK-18278] Minimal support for submitting to Kubernetes. #1

mccheah · 2016-12-09T23:15:31Z

Phase 1 for Kubernetes support in Spark. Only supports static resource allocation in cluster mode.

Some changes were made to the original fundamental approach to foxish#7, in particular how the REST server is built. Now, the REST server uses the existing submission REST server infrastructure as its base, instead of creating new Jetty-based code from scratch. Additionally, uploading local dependencies now uses a separate field in order to deduplicate from specifying jars local to the docker image via "spark.jars" vs. uploading jars from the client machine. The appropraite APIs to expose these configuration knobs are open to discussion, especially since the user's main resource is currently being uploaded indiscriminately but one could foresee the user wanting to specify their main resource as a file local to the Docker image's disk.

Also the client arguments have changed to mostly use Spark properties. Like the YARN support, common configuration points should be able to be set by arguments to spark-submit, but translated to properties in SparkConf.

ash211 · 2017-01-07T00:01:03Z

@mccheah is this PR the one meant to be the phase one implementation (without the API layer)? If so let's update the description to make that clear what this is intended to become.

- Don't hold the raw secret bytes - Add CPU limits and requests

mccheah · 2017-01-07T00:30:12Z

.../scala/org/apache/spark/scheduler/cluster/kubernetes/KubernetesClusterSchedulerBackend.scala

+            .addToRequests("memory", executorMemoryQuantity)
+            .addToLimits("memory", executorMemoryLimitQuantity)
+            .addToRequests("cpu", executorCpuQuantity)
+            .addToLimits("cpu", executorCpuQuantity)


If the container goes over this CPU limit is it forcefully killed? Or is the CPU limit merely what's provided on the hardware, and then it's impossible for the container to actually ever go over the limit?

Details are in https://github.com/kubernetes/kubernetes/blob/master/docs/design/resource-qos.md
The container wouldn't get killed, as CPU is classified as a compressible resource. It would get throttled.

If request == limit, we are making its QoS == guaranteed. It's the requested amount that is considered when making scheduling decisions. Having a higher limit would let us burst to use more CPU if it is available when overcommit is enabled in the cluster.

hmm so if I have 2 cores on a cluster and this Spark service needs 1 core minimum but would happily accept the second core if it was available, how should I set up cpu requests and limits? request=1 and limit=2 ?

I'm not sure if we're expecting CPU bursts here - executors use a fixed-size thread pool based on the provided core count for running tasks. Setting limit == requested seems sufficient, but I'm not sure if this accounts for other random threads that are in the executor process.

I wonder if we should have the QoS class of these executor pods be configurable. When we think of clusters sharing pods running serving workloads alongside Spark, the batch jobs would be lower priority, and it would make sense to make the executors be "best-effort" (no limit/request). They would get killed before the serving jobs if CPU/Memory were lacking.

I think the semantics we have here are closer to what is expected by Spark users migrating from YARN and Mesos.

Setting a slightly higher limit than request for the CPU (10-25% more) may be a good thing, but if as Matt said, we are sure that we don't expect CPU bursts, it is fine as it is for the MVP. I think in future, in order to improve utilization, we want to allow pods having different QoS classes. We probably want something similar to YARN's queueing mechanism which we can implicitly translate into QoS class. We can discuss this further after phase 1 is complete however.

ash211 · 2017-01-07T09:50:23Z

core/src/main/scala/org/apache/spark/deploy/SparkSubmit.scala

@@ -229,6 +230,7 @@ object SparkSubmit extends CommandLineUtils {
        YARN
      case m if m.startsWith("spark") => STANDALONE
      case m if m.startsWith("mesos") => MESOS
+      case m if m.startsWith("kubernetes") => KUBERNETES
      case m if m.startsWith("local") => LOCAL
      case _ =>
        printErrorAndExit("Master must either be yarn or start with spark, mesos, local")


this error message needs updating

ash211 · 2017-01-07T09:53:18Z

core/src/main/scala/org/apache/spark/deploy/SparkSubmit.scala

@@ -229,6 +230,7 @@ object SparkSubmit extends CommandLineUtils {
        YARN
      case m if m.startsWith("spark") => STANDALONE
      case m if m.startsWith("mesos") => MESOS
+      case m if m.startsWith("kubernetes") => KUBERNETES


I think we agreed we wanted kubernetes URLs to be of the form: k8s://http://hostname:port and k8s://https://hostname:port

ash211 · 2017-01-07T10:20:32Z

kubernetes/core/pom.xml

@@ -0,0 +1,101 @@
+<?xml version="1.0" encoding="UTF-8"?>


all the kubernetes files need to be under /resource-managers/kubernetes now that upstream has put yarn and mesos into the resource-managers folder

ash211 · 2017-01-07T10:39:38Z

kubernetes/core/src/main/scala/org/apache/spark/deploy/kubernetes/Client.scala

+                .endContainer()
+              .endSpec()
+            .done()
+          submitCompletedFuture.get(30, TimeUnit.SECONDS)


I got this exception when trying to run a job and the image failed to pull:

Exception in thread "OkHttp https://10.0.23.119:6443/api/v1/namespaces/spark-test1/pods?labelSelector=driver-launcher-selector%3Ddriver-launcher-1483785139234&resourceVersion=10329&watch=true WebSocket" java.lang.NullPointerException at org.spark_project.guava.base.Preconditions.checkNotNull(Preconditions.java:191) at org.spark_project.guava.util.concurrent.AbstractFuture.setException(AbstractFuture.java:201) at org.spark_project.guava.util.concurrent.SettableFuture.setException(SettableFuture.java:68) at org.apache.spark.deploy.kubernetes.Client$$anonfun$run$5$$anon$1.onClose(Client.scala:177) at io.fabric8.kubernetes.client.dsl.internal.WatchConnectionManager$1.onClose(WatchConnectionManager.java:255) at okhttp3.internal.ws.RealWebSocket.peerClose(RealWebSocket.java:197) at okhttp3.internal.ws.RealWebSocket.access$200(RealWebSocket.java:38) at okhttp3.internal.ws.RealWebSocket$1$2.execute(RealWebSocket.java:84) at okhttp3.internal.NamedRunnable.run(NamedRunnable.java:32) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617) at java.lang.Thread.run(Thread.java:745) Exception in thread "main" java.util.concurrent.TimeoutException: Timeout waiting for task. at org.spark_project.guava.util.concurrent.AbstractFuture$Sync.get(AbstractFuture.java:276) at org.spark_project.guava.util.concurrent.AbstractFuture.get(AbstractFuture.java:96) at org.apache.spark.deploy.kubernetes.Client$$anonfun$run$5.org$apache$spark$deploy$kubernetes$Client$$anonfun$$createDriverPod$1(Client.scala:218) at org.apache.spark.deploy.kubernetes.Client$$anonfun$run$5$$anonfun$apply$2.apply(Client.scala:224) at org.apache.spark.deploy.kubernetes.Client$$anonfun$run$5$$anonfun$apply$2.apply(Client.scala:224) at org.apache.spark.util.Utils$.tryWithResource(Utils.scala:2508) at org.apache.spark.deploy.kubernetes.Client$$anonfun$run$5.apply(Client.scala:224) at org.apache.spark.deploy.kubernetes.Client$$anonfun$run$5.apply(Client.scala:102) at org.apache.spark.util.Utils$.tryWithResource(Utils.scala:2508) at org.apache.spark.deploy.kubernetes.Client.run(Client.scala:102) at org.apache.spark.deploy.kubernetes.Client$.main(Client.scala:361) at org.apache.spark.deploy.kubernetes.Client.main(Client.scala) at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62) at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) at java.lang.reflect.Method.invoke(Method.java:498) at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:753) at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:178) at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:203) at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:117) at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)

aash@aash01-mac ~$ kubectl get pods -n spark-test1 NAME READY STATUS RESTARTS AGE spark-pi 0/1 ErrImagePull 0 1m aash@aash01-mac ~$

We should provide a better message instead of timing out here, something like pod spark-pi in namespace spark-test1 never reached Running status. Last observed status: ErrImagePull

ash211 · 2017-01-07T10:43:18Z

kubernetes/docker-minimal-bundle/src/main/docker/driver/Dockerfile

+FROM ubuntu:trusty
+
+# Upgrade package index
+# install a few other useful packages plus Open Jdk 7


prefer Java 8 over Java 7 in these templates

ash211 · 2017-01-07T10:59:03Z

kubernetes/docker-minimal-bundle/pom.xml

+    <groupId>org.apache.spark</groupId>
+    <artifactId>spark-parent_2.11</artifactId>
+    <version>2.1.0-SNAPSHOT</version>
+    <relativePath>../pom.xml</relativePath>


../../pom.xml

foxish · 2017-01-09T19:50:45Z

@mccheah I'm trying to build this and get compiler errors

[INFO] Spark Project Shuffle Streaming Service ............ FAILURE [  0.874 s]

My build command is

./build/mvn -U -T 4 -Pkubernetes -Dhadoop.version=2.4.0 -Dmaven.test.skip=true -DskipTests package

Do you use a different one?

mccheah · 2017-01-09T20:17:40Z

@foxish this works for me: build/mvn compile package -DskipTests -Pkubernetes -Phadoop2.4

…te-incremental

The build process fails ScalaStyle checks otherwise.

ash211 · 2017-01-09T22:59:29Z

core/src/main/scala/org/apache/spark/deploy/SparkSubmit.scala

@@ -229,6 +230,7 @@ object SparkSubmit extends CommandLineUtils {
        YARN
      case m if m.startsWith("spark") => STANDALONE
      case m if m.startsWith("mesos") => MESOS
+      case m if m.startsWith("k8s") => KUBERNETES
      case m if m.startsWith("local") => LOCAL
      case _ =>
        printErrorAndExit("Master must either be yarn or start with spark, mesos, local")


please update this error message to have "k8s" in the list

…te-incremental' into k8s-support-alternate-incremental

ash211 · 2017-01-10T00:02:02Z

I think two of my earlier comments are still remaining:

use java 8 instead of java 7 in the docker images
Good error message for ErrImagePull error state

Can you please send those in as separate PRs into this one's branch? It will be easier to review separately that way from the full PR

* Use tar and gzip to archive shipped jars. * Address comments * Move files to resolve merge

* Use alpine and java 8 for docker images. * Remove installation of vim and redundant comment

#12)

ssuchter · 2017-01-12T23:04:29Z

Hi folks -

In case anyone hasn't seen how to do this before, here's how you debug the failing Travis CI build. Click on one of the "Details" links - here's the one for the pull request:

https://travis-ci.org/apache-spark-on-k8s/spark/builds/191462919

then in that one, Travis has two separate CI builds, one for Java 7 and one for Java 8. Both failed, so I just clicked on the first one, #2.1. That gets me here:

https://travis-ci.org/apache-spark-on-k8s/spark/jobs/191462920

In the "Job log" on that page you can see the failure, it's in the Checkstyle linter:

[ERROR] src/main/java/org/apache/spark/launcher/SparkSubmitOptionParser.java:[83] (sizes) LineLength: Line is longer than 100 characters (found 102).

* Error messages when the driver container fails to start. * Fix messages a bit * Use timeout constant * Delete the pod if it fails for any reason (not just timeout) * Actually set submit succeeded * Fix typo

* Documentation for the current state of the world. * Adding navigation links from other pages * Address comments, add TODO for things that should be fixed * Address comments, mostly making images section clearer * Virtual runtime -> container runtime

…122) * Refactor the cleaning up of Kubernetes components. Create a KubernetesComponentsCleaner which can register arbitrary pods, services, secrets, and ingresses. When an exception is thrown or the JVM shuts down, the cleaner automatically purges any of its registered components from Kubernetes. The components can be unregistered when the driver successfully begins running, so that the application persists beyond the lifetime of the spark-submit process. * Fix spacing * Address comments * Fix compiler error * Pull KubernetesComponentCleaner into instance variable * Remove a parameter * Remove redundant registerOrUpdateSecret for SSL * Remove Ingresses from component cleaner * Clear resources generically as opposed to specifying each type * Remove incorrect test assertion * Rename variable

* Configure unit test build while banning flaky tests * Clean up comment

* Extract SSL configuration to a separate class * KubernetesSsl -> Ssl, container -> local

* Exclude SparkSubmitSuite from Travis unit test build * Remove SortShuffleSuite * Exclude Java tests

* pod-watch progress around watch events * Simplify return * comments

* Document blocking submit calls #53 added these config but didn't document them * Update running-on-kubernetes.md

* Update client version * Upgrade minikube * Update pom.xml

…a annotations (#147) * Listen for annotations that provide external URIs. * FIx scalstyle * Address comments * Fix doc style * Docs updates * Clearly explain path rewrites

* Allow setting memory on the driver submission server. * Address comments * Address comments

* Adding prerequisites * address comments

* Logging for resource deletion Remove dangling colon and replace with an ellipses and a second log statement * Update KubernetesResourceCleaner.scala

* Adding official alpha docker image to docs * Reorder sections and create a specific one for "advanced" * Provide limitations and instructions about running on GKE * Fix title of advanced section: submission * Improved section on running in the cloud * Update versioning * Address comments * Address comments

* Add Apache license to a few files * Ignore license check on META-INF service

* Allow providing an OAuth token for authenticating against k8s * Organize imports * Fix style * Remove extra newline * Use OAuth token data instead of a file.

mccheah · 2017-03-22T19:12:05Z

Closing this in favor of diffing from branch-2.1-kubernetes. Probably will need to set the base branch to 2.1 also.

mccheah · 2017-03-22T19:21:15Z

See #200

…te temporary path in local staging directory ## What changes were proposed in this pull request? Th environment of my cluster as follows: ``` OS:Linux version 2.6.32-220.7.1.el6.x86_64 (mockbuildc6b18n3.bsys.dev.centos.org) (gcc version 4.4.6 20110731 (Red Hat 4.4.6-3) (GCC) ) apache-spark-on-k8s#1 SMP Wed Mar 7 00:52:02 GMT 2012 Hadoop: 2.7.2 Spark: 2.3.0 or 3.0.0(master branch) Hive: 1.2.1 ``` My spark run on deploy mode yarn-client. If I execute the SQL `insert overwrite local directory '/home/test/call_center/' select * from call_center`, a HiveException will appear as follows: `Caused by: org.apache.hadoop.hive.ql.metadata.HiveException: java.io.IOException: Mkdirs failed to create file:/home/xitong/hive/stagingdir_hive_2019-02-19_17-31-00_678_1816816774691551856-1/-ext-10000/_temporary/0/_temporary/attempt_20190219173233_0002_m_000000_3 (exists=false, cwd=file:/data10/yarn/nm-local-dir/usercache/xitong/appcache/application_1543893582405_6126857/container_e124_1543893582405_6126857_01_000011) at org.apache.hadoop.hive.ql.io.HiveFileFormatUtils.getHiveRecordWriter(HiveFileFormatUtils.java:249)` Current spark sql generate a local temporary path in local staging directory.The schema of local temporary path start with `file`, so the HiveException appears. This PR change the local temporary path to HDFS temporary path, and use DistributedFileSystem instance copy the data from HDFS temporary path to local directory. If Spark run on local deploy mode, 'insert overwrite local directory' works fine. ## How was this patch tested? UT cannot support yarn-client mode.The test is in my product environment. Closes apache#23841 from beliefer/fix-bug-of-insert-overwrite-local-dir. Authored-by: gengjiaan <gengjiaan@360.cn> Signed-off-by: Sean Owen <sean.owen@databricks.com>

## What changes were proposed in this pull request? This PR supports `OpenJ9` in addition to `IBM JDK` and `OpenJDK` in Spark by handling `System.getProperty("java.vendor") = "Eclipse OpenJ9"`. In `inferDefaultMemory()` and `getKrb5LoginModuleName()`, this PR uses non `IBM` way. ``` $ ~/jdk-11.0.2+9_openj9-0.12.1/bin/jshell | Welcome to JShell -- Version 11.0.2 | For an introduction type: /help intro jshell> System.out.println(System.getProperty("java.vendor")) Eclipse OpenJ9 jshell> System.out.println(System.getProperty("java.vm.info")) JRE 11 Linux amd64-64-Bit Compressed References 20190204_127 (JIT enabled, AOT enabled) OpenJ9 - 90dd8cb40 OMR - d2f4534b JCL - 289c70b6844 based on jdk-11.0.2+9 jshell> System.out.println(Class.forName("com.ibm.lang.management.OperatingSystemMXBean").getDeclaredMethod("getTotalPhysicalMemory")) public abstract long com.ibm.lang.management.OperatingSystemMXBean.getTotalPhysicalMemory() jshell> System.out.println(Class.forName("com.sun.management.OperatingSystemMXBean").getDeclaredMethod("getTotalPhysicalMemorySize")) public abstract long com.sun.management.OperatingSystemMXBean.getTotalPhysicalMemorySize() jshell> System.out.println(Class.forName("com.ibm.security.auth.module.Krb5LoginModule")) | Exception java.lang.ClassNotFoundException: com.ibm.security.auth.module.Krb5LoginModule | at Class.forNameImpl (Native Method) | at Class.forName (Class.java:339) | at (apache-spark-on-k8s#1:1) jshell> System.out.println(Class.forName("com.sun.security.auth.module.Krb5LoginModule")) class com.sun.security.auth.module.Krb5LoginModule ``` ## How was this patch tested? Existing test suites Manual testing with OpenJ9. Closes apache#24308 from kiszk/SPARK-27397. Authored-by: Kazuaki Ishizaki <ishizaki@jp.ibm.com> Signed-off-by: Sean Owen <sean.owen@databricks.com>

mccheah added 4 commits December 6, 2016 14:31

[SPARK-18278] Minimal support for submitting to Kubernetes.

d36d223

Fix style

d379a3a

Make naming more consistent

8ce7f78

Fix building assembly with Kubernetes.

c9d0039

mccheah changed the title ~~K8s support alternate incremental~~ [SPARK-18278] Minimal support for submitting to Kubernetes. Dec 9, 2016

mccheah mentioned this pull request Dec 9, 2016

Use tar and gzip to compress+archive shipped jars #2

Merged

Service account support, use constants from fabric8 library.

08f4421

ash211 mentioned this pull request Jan 7, 2017

Spark on k8s to beta #4

Closed

22 tasks

Some small changes

2683894

- Don't hold the raw secret bytes - Add CPU limits and requests

mccheah commented Jan 7, 2017

View reviewed changes

ash211 mentioned this pull request Jan 7, 2017

Brief build and usage docs for PR #1 #3

Closed

ash211 previously requested changes Jan 7, 2017

View reviewed changes

mccheah and others added 3 commits January 9, 2017 14:25

Use k8s:// formatted URL instead of separate setting.

6ffa5b2

Merge remote-tracking branch 'apache/master' into k8s-support-alterna…

8d217c5

…te-incremental

Reindent comment to conforn to JavaDoc style

7de958b

The build process fails ScalaStyle checks otherwise.

ash211 reviewed Jan 9, 2017

View reviewed changes

mccheah added 2 commits January 9, 2017 15:30

Move kubernetes under resource-managers folder.

0d89026

Merge remote-tracking branch 'apache-spark-on-k8s/k8s-support-alterna…

4b158bb

…te-incremental' into k8s-support-alternate-incremental

mccheah and others added 4 commits January 11, 2017 14:36

Use tar and gzip to compress+archive shipped jars (#2)

697a35a

* Use tar and gzip to archive shipped jars. * Address comments * Move files to resolve merge

Use alpine and java 8 for docker images. (#10)

40cf4ea

* Use alpine and java 8 for docker images. * Remove installation of vim and redundant comment

Copy the Dockerfiles from docker-minimal-bundle into the distribution. (

ad9adde

#12)

inherit IO (#13)

c155909

mccheah and others added 3 commits January 12, 2017 17:59

Error messages when the driver container fails to start. (#11)

015d2c8

* Error messages when the driver container fails to start. * Fix messages a bit * Use timeout constant * Delete the pod if it fails for any reason (not just timeout) * Actually set submit succeeded * Fix typo

Fix linter error to make CI happy (#18)

6a939e2

mccheah and others added 11 commits February 23, 2017 14:44

Enable unit tests in Travis CI build (#132)

0a22b35

* Configure unit test build while banning flaky tests * Clean up comment

Change driver pod's restart policy from OnFailure to Never (#145)

622bfdb

Extract SSL configuration handling to a separate class (#123)

1f8fca0

* Extract SSL configuration to a separate class * KubernetesSsl -> Ssl, container -> local

Exclude known flaky tests (#156)

fb9a26e

* Exclude SparkSubmitSuite from Travis unit test build * Remove SortShuffleSuite * Exclude Java tests

Richer logging and better error handling in driver pod watch (#154)

d81c084

* pod-watch progress around watch events * Simplify return * comments

Document blocking submit calls (#152)

82275ae

* Document blocking submit calls #53 added these config but didn't document them * Update running-on-kubernetes.md

Allow custom annotations on the driver pod. (#163)

21fb9b7

Update client version & minikube version (#142)

4f12335

* Update client version * Upgrade minikube * Update pom.xml

Allow customizing external URI provision + External URI can be set vi…

f0a40b8

…a annotations (#147) * Listen for annotations that provide external URIs. * FIx scalstyle * Address comments * Fix doc style * Docs updates * Clearly explain path rewrites

Remove okhttp from top-level pom (#166)

8336465

mccheah mentioned this pull request Mar 3, 2017

[SPARK-18278] [Scheduler] Support native submission of spark jobs to a kubernetes cluster apache/spark#16061

Closed

mccheah and others added 9 commits March 3, 2017 13:45

Allow setting memory on the driver submission server. (#161)

f6823f3

* Allow setting memory on the driver submission server. * Address comments * Address comments

Add a section for prerequisites (#171)

6556451

* Adding prerequisites * address comments

Add instructions to find master URL (#169)

4e72392

Propagate exceptions (#172)

f27885a

Logging for resource deletion (#170)

c118f47

* Logging for resource deletion Remove dangling colon and replace with an ellipses and a second log statement * Update KubernetesResourceCleaner.scala

Add Apache license to a few files (#175)

2a61438

* Add Apache license to a few files * Ignore license check on META-INF service

Adding clarification pre-alpha (#181)

be109ab

Allow providing an OAuth token for authenticating against k8s (#180)

1aba361

* Allow providing an OAuth token for authenticating against k8s * Organize imports * Fix style * Remove extra newline * Use OAuth token data instead of a file.

mccheah closed this Mar 22, 2017

kimoonkim mentioned this pull request Apr 7, 2017

Dispatch tasks to right executors that have tasks' input HDFS data #216

Merged

mccheah mentioned this pull request May 13, 2017

Download remotely-located resources on driver and executor startup via init-container #251

Merged

This was referenced Jun 9, 2017

Discuss naming schemes for pods, config maps, and secrets that are created for the job #335

Open

V0.2 dev #341

Closed

[SPARK-18278] Minimal support for submitting to Kubernetes. #1

[SPARK-18278] Minimal support for submitting to Kubernetes. #1

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