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[SPARK-18278] [Scheduler] Spark on Kubernetes - Basic Scheduler Backend #19468

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foxish wants to merge 29 commits into from
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[SPARK-18278] [Scheduler] Spark on Kubernetes - Basic Scheduler Backend #19468

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f6fdd6a
Spark on Kubernetes - basic scheduler backend
foxish Sep 15, 2017
75e31a9
Adding to modules.py and SparkBuild.scala
foxish Oct 17, 2017
cf82b21
Exclude from unidoc, update travis
foxish Oct 17, 2017
488c535
Address a bunch of style and other comments
foxish Oct 17, 2017
82b79a7
Fix some style concerns
foxish Oct 18, 2017
c052212
Clean up YARN constants, unit test updates
foxish Oct 20, 2017
c565c9f
Couple of more style comments
foxish Oct 20, 2017
2fb596d
Address CR comments.
mccheah Oct 25, 2017
992acbe
Extract initial executor count to utils class
mccheah Oct 25, 2017
b0a5839
Fix scalastyle
mccheah Oct 25, 2017
a4f9797
Fix more scalastyle
mccheah Oct 25, 2017
2b5dcac
Pin down app ID in tests. Fix test style.
mccheah Oct 26, 2017
018f4d8
Address comments.
mccheah Nov 1, 2017
4b32134
Various fixes to the scheduler
mccheah Nov 1, 2017
6cf4ed7
Address comments
mccheah Nov 4, 2017
1f271be
Update fabric8 client version to 3.0.0
foxish Nov 13, 2017
71a971f
Addressed more comments
liyinan926 Nov 13, 2017
0ab9ca7
One more round of comments
liyinan926 Nov 14, 2017
7f14b71
Added a comment regarding how failed executor pods are handled
liyinan926 Nov 15, 2017
7afce3f
Addressed more comments
liyinan926 Nov 21, 2017
b75b413
Fixed Scala style error
liyinan926 Nov 21, 2017
3b587b4
Removed unused parameter in parsePrefixedKeyValuePairs
liyinan926 Nov 22, 2017
cb12fec
Another round of comments
liyinan926 Nov 22, 2017
ae396cf
Addressed latest comments
liyinan926 Nov 27, 2017
f8e3249
Addressed comments around licensing on new dependencies
liyinan926 Nov 27, 2017
a44c29e
Fixed unit tests and made maximum executor lost reason checks configu…
liyinan926 Nov 27, 2017
4bed817
Removed default value for executor Docker image
liyinan926 Nov 27, 2017
c386186
Close the executor pod watcher before deleting the executor pods
liyinan926 Nov 27, 2017
b85cfc4
Addressed more comments
liyinan926 Nov 28, 2017
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Removed default value for executor Docker image
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@liyinan926
liyinan926 committed Nov 27, 2017
commit 4bed817e5ab1a26e70050254fec453e839af4c8c
3 changes: 1 addition & 2 deletions resource-managers/kubernetes/core/src/main/scala/org/apache/spark/deploy/k8s/Config.scala
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Expand Up @@ -16,7 +16,6 @@
*/
package org.apache.spark.deploy.k8s

import org.apache.spark.SPARK_VERSION
import org.apache.spark.internal.Logging
import org.apache.spark.internal.config.ConfigBuilder
import org.apache.spark.network.util.ByteUnit
Expand All @@ -36,7 +35,7 @@ private[spark] object Config extends Logging {
.doc("Docker image to use for the executors. Specify this using the standard Docker tag" +
" format.")
.stringConf
.createWithDefault(s"spark-executor:$SPARK_VERSION")
.createOptional

val DOCKER_IMAGE_PULL_POLICY =
ConfigBuilder("spark.kubernetes.docker.image.pullPolicy")
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6 changes: 4 additions & 2 deletions ...netes/core/src/main/scala/org/apache/spark/scheduler/cluster/k8s/ExecutorPodFactory.scala
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Expand Up @@ -20,7 +20,7 @@ import scala.collection.JavaConverters._

import io.fabric8.kubernetes.api.model._

import org.apache.spark.SparkConf
import org.apache.spark.{SparkConf, SparkException}
import org.apache.spark.deploy.k8s.Config._
import org.apache.spark.deploy.k8s.ConfigurationUtils
import org.apache.spark.deploy.k8s.Constants._
Expand Down Expand Up @@ -72,7 +72,9 @@ private[spark] class ExecutorPodFactoryImpl(sparkConf: SparkConf)
sparkConf,
KUBERNETES_NODE_SELECTOR_PREFIX)

private val executorDockerImage = sparkConf.get(EXECUTOR_DOCKER_IMAGE)
private val executorDockerImage = sparkConf
.get(EXECUTOR_DOCKER_IMAGE)
.getOrElse(throw new SparkException("Must specify the executor Docker image"))
private val dockerImagePullPolicy = sparkConf.get(DOCKER_IMAGE_PULL_POLICY)
private val blockManagerPort = sparkConf
.getInt("spark.blockmanager.port", DEFAULT_BLOCKMANAGER_PORT)
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@mridulm mridulm Oct 25, 2017

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Are we assuming the port's will always be available (for executor and driver) to bind to ?

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@mccheah mccheah Oct 25, 2017

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Yes - because we're deploying the driver and executors in a containerized setting, we're a lot more free to make looser assumptions about available ports. The exception will be if Spark applications are running sidecar containers along with the main driver/executor containers, but support for that is further out in the future when/if we expect Pod Presets to interact with our code.

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@mridulm mridulm Oct 25, 2017

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Sounds good, I wanted to make sure I understood it right that we are making the assumption about port being unbound and available for spark.

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