martin-g commented on a change in pull request #35436:
URL: https://github.com/apache/spark/pull/35436#discussion_r801402311
##########
File path:
resource-managers/kubernetes/core/src/main/scala/org/apache/spark/deploy/k8s/Config.scala
##########
@@ -675,6 +676,42 @@ private[spark] object Config extends Logging {
.checkValue(value => value > 0, "Maximum number of pending pods should
be a positive integer")
.createWithDefault(Int.MaxValue)
+ val KUBERNETES_JOB_QUEUE = ConfigBuilder("spark.kubernetes.job.queue")
+ .doc(s"The name of the queue to which the job is submitted. This info " +
+ "will be stored in configuration and passed to specified feature step.")
+ .version("3.3.0")
+ .stringConf
+ .createWithDefault("default")
+
+ val KUBERNETES_JOB_MIN_CPU = ConfigBuilder("spark.kubernetes.job.minCPU")
+ .doc(s"The minimum CPU for running the job. This info " +
Review comment:
same
##########
File path:
resource-managers/kubernetes/core/src/main/scala/org/apache/spark/deploy/k8s/Config.scala
##########
@@ -675,6 +676,42 @@ private[spark] object Config extends Logging {
.checkValue(value => value > 0, "Maximum number of pending pods should
be a positive integer")
.createWithDefault(Int.MaxValue)
+ val KUBERNETES_JOB_QUEUE = ConfigBuilder("spark.kubernetes.job.queue")
+ .doc(s"The name of the queue to which the job is submitted. This info " +
Review comment:
no need of String interpolation - there is nothing to interpolate
##########
File path:
resource-managers/kubernetes/core/src/main/scala/org/apache/spark/deploy/k8s/Config.scala
##########
@@ -675,6 +676,42 @@ private[spark] object Config extends Logging {
.checkValue(value => value > 0, "Maximum number of pending pods should
be a positive integer")
.createWithDefault(Int.MaxValue)
+ val KUBERNETES_JOB_QUEUE = ConfigBuilder("spark.kubernetes.job.queue")
+ .doc(s"The name of the queue to which the job is submitted. This info " +
+ "will be stored in configuration and passed to specified feature step.")
+ .version("3.3.0")
+ .stringConf
+ .createWithDefault("default")
+
+ val KUBERNETES_JOB_MIN_CPU = ConfigBuilder("spark.kubernetes.job.minCPU")
+ .doc(s"The minimum CPU for running the job. This info " +
+ "will be stored in configuration and passed to specified feature step.")
+ .version("3.3.0")
+ .doubleConf
+ .createWithDefault(2.0)
+
+ val KUBERNETES_JOB_MIN_MEMORY =
ConfigBuilder("spark.kubernetes.job.minMemory")
+ .doc("The minimum memory for running the job, in MiB unless otherwise
specified. This info " +
+ "will be stored in configuration and passed to specified feature step.")
+ .version("3.3.0")
+ .bytesConf(ByteUnit.MiB)
+ .createWithDefaultString("3g")
+
+ val KUBERNETES_JOB_MIN_MEMBER =
ConfigBuilder("spark.kubernetes.job.minMember")
+ .doc(s"The minimum number of pods running in a job. This info " +
+ "will be stored in configuration and passed to specified feature step.")
+ .version("3.3.0")
+ .intConf
+ .checkValue(value => value > 0, "The minimum number should be a positive
integer")
+ .createWithDefault(1)
+
+ val KUBERNETES_JOB_PRIORITY_CLASS_NAME =
ConfigBuilder("spark.kubernetes.job.priorityClassName")
+ .doc(s"The priority of the running job. This info " +
Review comment:
same
##########
File path:
resource-managers/kubernetes/core/src/main/scala/org/apache/spark/deploy/k8s/Config.scala
##########
@@ -675,6 +676,42 @@ private[spark] object Config extends Logging {
.checkValue(value => value > 0, "Maximum number of pending pods should
be a positive integer")
.createWithDefault(Int.MaxValue)
+ val KUBERNETES_JOB_QUEUE = ConfigBuilder("spark.kubernetes.job.queue")
+ .doc(s"The name of the queue to which the job is submitted. This info " +
+ "will be stored in configuration and passed to specified feature step.")
+ .version("3.3.0")
+ .stringConf
+ .createWithDefault("default")
+
+ val KUBERNETES_JOB_MIN_CPU = ConfigBuilder("spark.kubernetes.job.minCPU")
+ .doc(s"The minimum CPU for running the job. This info " +
+ "will be stored in configuration and passed to specified feature step.")
+ .version("3.3.0")
+ .doubleConf
+ .createWithDefault(2.0)
+
+ val KUBERNETES_JOB_MIN_MEMORY =
ConfigBuilder("spark.kubernetes.job.minMemory")
+ .doc("The minimum memory for running the job, in MiB unless otherwise
specified. This info " +
+ "will be stored in configuration and passed to specified feature step.")
+ .version("3.3.0")
+ .bytesConf(ByteUnit.MiB)
+ .createWithDefaultString("3g")
+
+ val KUBERNETES_JOB_MIN_MEMBER =
ConfigBuilder("spark.kubernetes.job.minMember")
+ .doc(s"The minimum number of pods running in a job. This info " +
Review comment:
same
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