vanzin 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_r365366906
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File path: core/src/main/scala/org/apache/spark/resource/ResourceProfile.scala
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@@ -21,127 +21,160 @@ import java.util.{Map => JMap}
import java.util.concurrent.atomic.{AtomicInteger, AtomicReference}
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.
+ * 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 is meant to be immutable so user can't change it after buliding.
*/
@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
+
private lazy val nextProfileId = new AtomicInteger(0)
// The default resource profile uses the application level configs.
- // Create the default profile immediately to get ID 0, its initialized later
when fetched.
- private val defaultProfileRef: AtomicReference[ResourceProfile] =
- new AtomicReference[ResourceProfile](new ResourceProfile())
-
- assert(defaultProfileRef.get().id == DEFAULT_RESOURCE_PROFILE_ID,
- s"Default Profile must have the default profile id:
$DEFAULT_RESOURCE_PROFILE_ID")
+ // var so that it can be reset for testing purposes.
Review comment:
Couldn't you reset it using `.set(null)`?
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