Github user vanzin commented on a diff in the pull request:
https://github.com/apache/spark/pull/20761#discussion_r190430639
--- Diff:
resource-managers/yarn/src/main/scala/org/apache/spark/deploy/yarn/ResourceTypeHelper.scala
---
@@ -0,0 +1,180 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements. See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.spark.deploy.yarn
+
+import java.lang.reflect.InvocationTargetException
+
+import scala.util.control.NonFatal
+
+import org.apache.hadoop.yarn.api.records.Resource
+
+import org.apache.spark.internal.Logging
+import org.apache.spark.util.Utils
+
+/**
+ * This helper class uses some of Hadoop 3 methods from the yarn API,
+ * so we need to use reflection to avoid compile error when building
against Hadoop 2.x
+ */
+object ResourceTypeHelper extends Logging {
+ private val AMOUNT_AND_UNIT_REGEX = "([0-9]+)([A-Za-z]*)".r
+ private val resourceTypesNotAvailableErrorMessage =
+ "Ignoring updating resource with resource types because " +
+ "the version of YARN does not support it!"
+
+ def setResourceInfoFromResourceTypes(
+ resourceTypesParam: Map[String, String],
+ resource: Resource): Resource = {
+ if (resource == null) {
+ throw new IllegalArgumentException("Resource parameter should not be
null!")
+ }
+
+ if (!ResourceTypeHelper.isYarnResourceTypesAvailable()) {
+ logWarning(resourceTypesNotAvailableErrorMessage)
+ return resource
+ }
+
+ val resourceTypes = resourceTypesParam.map { case (k, v) => (
+ if (k.equals("memory")) {
+ logWarning("Trying to use 'memory' as a custom resource, converted
it to 'memory-mb'")
+ "memory-mb"
+ } else k, v)
+ }
+
+ logDebug(s"Custom resource types: $resourceTypes")
+ resourceTypes.foreach { rt =>
+ val resourceName: String = rt._1
+ val (amount, unit) = getAmountAndUnit(rt._2)
+ logDebug(s"Registering resource with name: $resourceName, amount:
$amount, unit: $unit")
+
+ try {
+ val resInfoClass = Utils.classForName(
+ "org.apache.hadoop.yarn.api.records.ResourceInformation")
+ val setResourceInformationMethod =
+ resource.getClass.getMethod("setResourceInformation",
classOf[String],
+ resInfoClass)
+
+ val resourceInformation =
+ createResourceInformation(resourceName, amount, unit,
resInfoClass)
+ setResourceInformationMethod.invoke(resource, resourceName,
resourceInformation)
+ } catch {
+ case e: InvocationTargetException =>
+ if (e.getCause != null) {
+ throw e.getCause
+ } else {
+ throw e
+ }
+ case NonFatal(e) =>
+ logWarning(resourceTypesNotAvailableErrorMessage, e)
+ }
+ }
+ resource
+ }
+
+ def getCustomResourcesAsStrings(resource: Resource): String = {
+ if (resource == null) {
+ throw new IllegalArgumentException("Resource parameter should not be
null!")
+ }
+
+ if (!ResourceTypeHelper.isYarnResourceTypesAvailable()) {
+ logWarning(resourceTypesNotAvailableErrorMessage)
+ return ""
+ }
+
+ var res: String = ""
+ try {
+ val resUtilsClass = Utils.classForName(
+ "org.apache.hadoop.yarn.util.resource.ResourceUtils")
+ val getNumberOfResourceTypesMethod =
resUtilsClass.getMethod("getNumberOfKnownResourceTypes")
+ val numberOfResourceTypes: Int =
getNumberOfResourceTypesMethod.invoke(null).asInstanceOf[Int]
+ val resourceClass = Utils.classForName(
+ "org.apache.hadoop.yarn.api.records.Resource")
+
+ // skip memory and vcores (index 0 and 1)
+ for (i <- 2 until numberOfResourceTypes) {
--- End diff --
Can you just print the `amResources` map from the user instead of having
this hacky code? I'm not sure the YARN view of this is that interesting for
Spark users, who are more interested in what they requested when debugging.
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