Github user galv commented on a diff in the pull request:
https://github.com/apache/spark/pull/20761#discussion_r190105917
--- Diff:
resource-managers/yarn/src/main/scala/org/apache/spark/deploy/yarn/ResourceTypeValidator.scala
---
@@ -0,0 +1,185 @@
+/*
+ * 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 scala.collection.mutable
+
+import org.apache.spark.{SparkConf, SparkException}
+import org.apache.spark.deploy.yarn.ProcessType.{am, driver, executor,
ProcessType}
+import org.apache.spark.deploy.yarn.ResourceType.{cores, memory,
ResourceType}
+import org.apache.spark.deploy.yarn.RunMode.{client, cluster, RunMode}
+import org.apache.spark.deploy.yarn.config._
+import org.apache.spark.internal.config._
+
+private[spark] object ProcessType extends Enumeration {
+ type ProcessType = Value
+ val driver, executor, am = Value
+}
+
+private[spark] object RunMode extends Enumeration {
+ type RunMode = Value
+ val client, cluster = Value
+}
+
+private[spark] object ResourceType extends Enumeration {
+ type ResourceType = Value
+ val cores, memory = Value
+}
+
+private object ResourceTypeValidator {
+ private val ERROR_PREFIX: String = "Error: "
+ private val POSSIBLE_RESOURCE_DEFINITIONS =
Seq[ResourceConfigProperties](
+ new ResourceConfigProperties(am, client, memory),
+ new ResourceConfigProperties(am, client, cores),
+ new ResourceConfigProperties(driver, cluster, memory),
+ new ResourceConfigProperties(driver, cluster, cores),
+ new ResourceConfigProperties(processType = executor, resourceType =
memory),
+ new ResourceConfigProperties(processType = executor, resourceType =
cores))
+
+ /**
+ * Validates sparkConf and throws a SparkException if a standard
resource (memory or cores)
+ * is defined with the property spark.yarn.x.resource.y<br>
+ *
+ * Example of an invalid config:<br>
+ * - spark.yarn.driver.resource.memory=2g<br>
+ *
+ * Please note that if multiple resources are defined like described
above,
+ * the error messages will be concatenated.<br>
+ * Example of such a config:<br>
+ * - spark.yarn.driver.resource.memory=2g<br>
+ * - spark.yarn.executor.resource.cores=2<br>
+ * Then the following two error messages will be printed:<br>
+ * - "memory cannot be requested with config
spark.yarn.driver.resource.memory,
+ * please use config spark.driver.memory instead!<br>
+ * - "cores cannot be requested with config
spark.yarn.executor.resource.cores,
+ * please use config spark.executor.cores instead!<br>
+ *
+ * @param sparkConf
+ */
+ def validateResources(sparkConf: SparkConf): Unit = {
+ val requestedResources = new RequestedResources(sparkConf)
+ val sb = new mutable.StringBuilder()
+ POSSIBLE_RESOURCE_DEFINITIONS.foreach { rcp =>
+ val customResources: Map[String, String] =
getCustomResourceValue(requestedResources, rcp)
+ val (standardResourceConfigKey: String, customResourceConfigKey:
String) =
+ getResourceConfigKeys(rcp)
+
+ val errorMessage =
+ if (customResources.contains(customResourceConfigKey)) {
+ s"${rcp.resourceType} cannot be requested with config
$customResourceConfigKey, " +
+ s"please use config $standardResourceConfigKey instead!"
+ } else {
+ ""
+ }
+ if (errorMessage.nonEmpty) {
+ printErrorMessageToBuffer(sb, errorMessage)
+ }
+ }
+
+ if (sb.nonEmpty) {
+ throw new SparkException(sb.toString())
+ }
+ }
+
+ /**
+ * Returns the requested map of custom resources,
+ * based on the ResourceConfigProperties argument.
+ * @return
+ */
+ private def getCustomResourceValue(
+ requestedResources: RequestedResources,
+ rcp: ResourceConfigProperties) = {
+ var customResources: Map[String, String] = null
+ (rcp.processType, rcp.runMode, rcp.resourceType) match {
+ case (ProcessType.executor, _, _) => customResources =
+ requestedResources.customExecutorResources
+ case (ProcessType.am, RunMode.client, _) => customResources =
+ requestedResources.customAMResources
+ case (ProcessType.driver, RunMode.cluster, _) => customResources =
+ requestedResources.customDriverResources
+ }
+ customResources
+ }
+
+ /**
+ * Returns a tuple of standard resource config key and custom resource
config key, based on the
+ * processType and runMode fields of the ResourceConfigProperties
argument.
+ * Standard resources are memory and cores.
+ *
+ * @param rcp
+ * @return
+ */
+ private def getResourceConfigKeys(rcp: ResourceConfigProperties):
(String, String) = {
+ val standardResourceConfigKey: String = if (rcp.processType ==
ProcessType.am) {
+ s"spark.yarn.${rcp.processType}.${rcp.resourceType}"
+ } else {
+ s"spark.${rcp.processType}.${rcp.resourceType}"
+ }
+
+ var customResourceTypeConfigKey: String = ""
+ (rcp.processType, rcp.runMode) match {
+ case (ProcessType.am, RunMode.client) =>
+ customResourceTypeConfigKey += YARN_AM_RESOURCE_TYPES_PREFIX
+ case (ProcessType.driver, RunMode.cluster) =>
+ customResourceTypeConfigKey += YARN_DRIVER_RESOURCE_TYPES_PREFIX
+ case (ProcessType.executor, _) =>
+ customResourceTypeConfigKey += YARN_EXECUTOR_RESOURCE_TYPES_PREFIX
+ }
+
+ customResourceTypeConfigKey += rcp.resourceType
+
+ (standardResourceConfigKey, customResourceTypeConfigKey)
+ }
+
+ private[spark] def printErrorMessageToBuffer(sb: StringBuilder, str:
String): Unit = {
+ sb.append(s"$ERROR_PREFIX$str\n")
+ }
+
+ private class ResourceConfigProperties(
+ val processType: ProcessType,
+ val runMode: RunMode = null,
--- End diff --
In my opinion, it's better not to use a default argument here. You
construct only 6 instances of this anyway. Also consider making the type of
runMode an Option[RunMode], so you can use None instead of null. It is my
understanding that null is very unidiomatic in scala.
By the way,this is a good candidate for a scala case class, but it doesn't
really matter.
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