Github user szyszy commented on a diff in the pull request:

    https://github.com/apache/spark/pull/20761#discussion_r218761991
  
    --- Diff: 
resource-managers/yarn/src/main/scala/org/apache/spark/deploy/yarn/ResourceTypeValidator.scala
 ---
    @@ -0,0 +1,107 @@
    +/*
    + * 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.config._
    +
    +private object ResourceTypeValidator {
    +  private val ERROR_PREFIX: String = "Error: "
    +  private val POSSIBLE_RESOURCE_DEFINITIONS = Seq[(String, String)](
    +    ("spark.yarn.am.memory", YARN_AM_RESOURCE_TYPES_PREFIX + "memory"),
    +    ("spark.yarn.am.cores", YARN_AM_RESOURCE_TYPES_PREFIX + "cores"),
    +    ("spark.driver.memory", YARN_DRIVER_RESOURCE_TYPES_PREFIX + "memory"),
    +    ("spark.driver.cores", YARN_DRIVER_RESOURCE_TYPES_PREFIX + "cores"),
    +    ("spark.executor.memory", YARN_EXECUTOR_RESOURCE_TYPES_PREFIX + 
"memory"),
    +    ("spark.executor.cores", YARN_EXECUTOR_RESOURCE_TYPES_PREFIX + 
"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 overallErrorMessage = new mutable.StringBuilder()
    +    POSSIBLE_RESOURCE_DEFINITIONS.foreach { resdef =>
    +      val customResources: Map[String, String] =
    +        getCustomResourceValuesForKey(sparkConf, resdef._1)
    +
    +      val errorMessage = getErrorMessage(customResources, resdef._1, 
resdef._2)
    +      if (errorMessage.nonEmpty) {
    +        overallErrorMessage.append(s"$ERROR_PREFIX$errorMessage\n")
    +      }
    +    }
    +
    +    // throw exception after loop
    +    if (overallErrorMessage.nonEmpty) {
    +      throw new SparkException(overallErrorMessage.toString())
    +    }
    +  }
    +
    +  def getCustomResourceValuesForKey(sparkConf: SparkConf, key: String): 
Map[String, String] = {
    +    if (key contains "am") {
    +      extractCustomResources(sparkConf, YARN_AM_RESOURCE_TYPES_PREFIX)
    +    } else if (key contains "driver") {
    +      extractCustomResources(sparkConf, YARN_DRIVER_RESOURCE_TYPES_PREFIX)
    +    } else if (key contains "executor") {
    +      extractCustomResources(sparkConf, 
YARN_EXECUTOR_RESOURCE_TYPES_PREFIX)
    +    } else Map.empty[String, String]
    +  }
    +
    +  def getErrorMessage(
    +      customResources: Map[String, String],
    +      standardResourceConfigKey: String,
    +      customResourceConfigKey: String): String = {
    +      if (customResources.contains(customResourceConfigKey)) {
    +        val idx = standardResourceConfigKey.lastIndexOf(".")
    +        val resourceType = standardResourceConfigKey.substring(idx + 1)
    +        s"$resourceType cannot be requested with config 
$customResourceConfigKey, " +
    +            s"please use config $standardResourceConfigKey instead!"
    +      } else {
    +        ""
    +      }
    +  }
    +
    +  private def extractCustomResources(
    +      sparkConf: SparkConf,
    +      propertyPrefix: String): Map[String, String] = {
    +    val result: collection.mutable.HashMap[String, String] =
    --- End diff --
    
    I guess you meant to remove the type declaration from 'result', so I 
removed it.


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