tgravescs commented on a change in pull request #26682: [SPARK-29306][CORE]
Stage Level Sched: Executors need to track what ResourceProfile they are
created with
URL: https://github.com/apache/spark/pull/26682#discussion_r367450873
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File path: core/src/main/scala/org/apache/spark/resource/ResourceProfile.scala
##########
@@ -18,130 +18,164 @@
package org.apache.spark.resource
import java.util.{Map => JMap}
-import java.util.concurrent.atomic.{AtomicInteger, AtomicReference}
+import java.util.concurrent.atomic.AtomicInteger
+import javax.annotation.concurrent.GuardedBy
import scala.collection.JavaConverters._
-import scala.collection.mutable
import org.apache.spark.SparkConf
import org.apache.spark.annotation.Evolving
import org.apache.spark.internal.Logging
import org.apache.spark.internal.config._
-import org.apache.spark.resource.ResourceUtils.RESOURCE_PREFIX
+import org.apache.spark.internal.config.Python.PYSPARK_EXECUTOR_MEMORY
/**
* Resource profile to associate with an RDD. A ResourceProfile allows the
user to
* specify executor and task requirements for an RDD that will get applied
during a
* stage. This allows the user to change the resource requirements between
stages.
- *
- * This class is private now for initial development, once we have the feature
in place
- * this will become public.
+ * This is meant to be immutable so user can't change it after building.
*/
@Evolving
-private[spark] class ResourceProfile() extends Serializable {
+class ResourceProfile(
+ val executorResources: Map[String, ExecutorResourceRequest],
+ val taskResources: Map[String, TaskResourceRequest]) extends Serializable
with Logging {
- private val _id = ResourceProfile.getNextProfileId
- private val _taskResources = new mutable.HashMap[String,
TaskResourceRequest]()
- private val _executorResources = new mutable.HashMap[String,
ExecutorResourceRequest]()
+ // _id is only a var for testing purposes
+ private var _id = ResourceProfile.getNextProfileId
def id: Int = _id
- def taskResources: Map[String, TaskResourceRequest] = _taskResources.toMap
- def executorResources: Map[String, ExecutorResourceRequest] =
_executorResources.toMap
/**
* (Java-specific) gets a Java Map of resources to TaskResourceRequest
*/
- def taskResourcesJMap: JMap[String, TaskResourceRequest] =
_taskResources.asJava
+ def taskResourcesJMap: JMap[String, TaskResourceRequest] =
taskResources.asJava
/**
* (Java-specific) gets a Java Map of resources to ExecutorResourceRequest
*/
- def executorResourcesJMap: JMap[String, ExecutorResourceRequest] =
_executorResources.asJava
+ def executorResourcesJMap: JMap[String, ExecutorResourceRequest] = {
+ executorResources.asJava
+ }
+
+ // Note that some cluster managers don't set the executor cores explicitly so
+ // be sure to check the Option as required
+ private[spark] def getExecutorCores: Option[Int] = {
+ executorResources.get(ResourceProfile.CORES).map(_.amount.toInt)
+ }
- def reset(): Unit = {
- _taskResources.clear()
- _executorResources.clear()
+ private[spark] def getTaskCpus: Option[Int] = {
+ taskResources.get(ResourceProfile.CPUS).map(_.amount.toInt)
}
- def require(requests: ExecutorResourceRequests): this.type = {
- _executorResources ++= requests.requests
- this
+ // testing only
+ private[spark] def setToDefaultProfile(): Unit = {
+ _id = ResourceProfile.DEFAULT_RESOURCE_PROFILE_ID
}
- def require(requests: TaskResourceRequests): this.type = {
- _taskResources ++= requests.requests
- this
+ override def equals(obj: Any): Boolean = {
+ obj match {
+ case that: ResourceProfile =>
+ that.getClass == this.getClass && that.id == _id &&
+ that.taskResources == taskResources && that.executorResources ==
executorResources
+ case _ =>
+ false
+ }
}
+ override def hashCode(): Int = Seq(taskResources,
executorResources).hashCode()
+
override def toString(): String = {
- s"Profile: id = ${_id}, executor resources: ${_executorResources}, " +
- s"task resources: ${_taskResources}"
+ s"Profile: id = ${_id}, executor resources:
${executorResources.mkString(",")}, " +
+ s"task resources: ${taskResources.mkString(",")}"
}
}
-private[spark] object ResourceProfile extends Logging {
- val UNKNOWN_RESOURCE_PROFILE_ID = -1
- val DEFAULT_RESOURCE_PROFILE_ID = 0
-
+object ResourceProfile extends Logging {
+ // task resources
val CPUS = "cpus"
+ // Executor resources
val CORES = "cores"
val MEMORY = "memory"
val OVERHEAD_MEM = "memoryOverhead"
val PYSPARK_MEM = "pyspark.memory"
+ // all supported spark executor resources (minus the custom resources like
GPUs/FPGAs)
+ val allSupportedExecutorResources = Seq(CORES, MEMORY, OVERHEAD_MEM,
PYSPARK_MEM)
+
+ val UNKNOWN_RESOURCE_PROFILE_ID = -1
+ val DEFAULT_RESOURCE_PROFILE_ID = 0
Review comment:
so the DEFAULT profile is the one created from the application level
configs. UNKNOWN means it wasn't specified. Actually in the
CoarseGrainedExecutorBackend its not used anymore. before the changes to send
the ResourceProfile via the RetrieveSparkAppConfig it was being used to tell
which configs to read from. Before that change we had separtate configs for the
resource profiles. if it was unknown it would read the application level
configs, and then set to the DEFAULT.
Now we can simply have it set to the DEFAULT so I'll update that
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