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

    https://github.com/apache/spark/pull/19717#discussion_r153408574
  
    --- Diff: 
resource-managers/kubernetes/core/src/main/scala/org/apache/spark/deploy/k8s/Config.scala
 ---
    @@ -0,0 +1,160 @@
    +/*
    + * 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.k8s
    +
    +import java.util.concurrent.TimeUnit
    +
    +import org.apache.spark.{SPARK_VERSION => sparkVersion}
    +import org.apache.spark.internal.Logging
    +import org.apache.spark.internal.config.ConfigBuilder
    +import org.apache.spark.network.util.ByteUnit
    +
    +private[spark] object Config extends Logging {
    +
    +  val KUBERNETES_NAMESPACE =
    +    ConfigBuilder("spark.kubernetes.namespace")
    +      .doc("The namespace that will be used for running the driver and 
executor pods. When using " +
    +        "spark-submit in cluster mode, this can also be passed to 
spark-submit via the " +
    +        "--kubernetes-namespace command line argument.")
    +      .stringConf
    +      .createWithDefault("default")
    +
    +  val DRIVER_DOCKER_IMAGE =
    +    ConfigBuilder("spark.kubernetes.driver.docker.image")
    +      .doc("Docker image to use for the driver. Specify this using the 
standard Docker tag format.")
    +      .stringConf
    +      .createWithDefault(s"spark-driver:$sparkVersion")
    +
    +  val EXECUTOR_DOCKER_IMAGE =
    +    ConfigBuilder("spark.kubernetes.executor.docker.image")
    +      .doc("Docker image to use for the executors. Specify this using the 
standard Docker tag " +
    +        "format.")
    +      .stringConf
    +      .createWithDefault(s"spark-executor:$sparkVersion")
    +
    +  val DOCKER_IMAGE_PULL_POLICY =
    +    ConfigBuilder("spark.kubernetes.docker.image.pullPolicy")
    +      .doc("Docker image pull policy when pulling any docker image in 
Kubernetes integration")
    +      .stringConf
    +      .createWithDefault("IfNotPresent")
    +
    +
    +  val KUBERNETES_AUTH_DRIVER_CONF_PREFIX =
    +      "spark.kubernetes.authenticate.driver"
    +  val KUBERNETES_AUTH_DRIVER_MOUNTED_CONF_PREFIX =
    +      "spark.kubernetes.authenticate.driver.mounted"
    +  val OAUTH_TOKEN_CONF_SUFFIX = "oauthToken"
    +  val OAUTH_TOKEN_FILE_CONF_SUFFIX = "oauthTokenFile"
    +  val CLIENT_KEY_FILE_CONF_SUFFIX = "clientKeyFile"
    +  val CLIENT_CERT_FILE_CONF_SUFFIX = "clientCertFile"
    +  val CA_CERT_FILE_CONF_SUFFIX = "caCertFile"
    +
    +  val KUBERNETES_SERVICE_ACCOUNT_NAME =
    +    
ConfigBuilder(s"$KUBERNETES_AUTH_DRIVER_CONF_PREFIX.serviceAccountName")
    +      .doc("Service account that is used when running the driver pod. The 
driver pod uses " +
    +        "this service account when requesting executor pods from the API 
server. If specific " +
    +        "credentials are given for the driver pod to use, the driver will 
favor " +
    +        "using those credentials instead.")
    +      .stringConf
    +      .createOptional
    +
    +  val KUBERNETES_DRIVER_LIMIT_CORES =
    +    ConfigBuilder("spark.kubernetes.driver.limit.cores")
    +      .doc("Specify the hard cpu limit for the driver pod")
    +      .stringConf
    +      .createOptional
    +
    +  val KUBERNETES_EXECUTOR_LIMIT_CORES =
    +    ConfigBuilder("spark.kubernetes.executor.limit.cores")
    +      .doc("Specify the hard cpu limit for a single executor pod")
    +      .stringConf
    +      .createOptional
    +
    +  val KUBERNETES_DRIVER_MEMORY_OVERHEAD =
    +    ConfigBuilder("spark.kubernetes.driver.memoryOverhead")
    +      .doc("The amount of off-heap memory (in megabytes) to be allocated 
for the driver and the " +
    +        "driver submission server. This is memory that accounts for things 
like VM overheads, " +
    +        "interned strings, other native overheads, etc. This tends to grow 
with the driver's " +
    +        "memory size (typically 6-10%).")
    +      .bytesConf(ByteUnit.MiB)
    +      .createOptional
    +
    +  // Note that while we set a default for this when we start up the
    +  // scheduler, the specific default value is dynamically determined
    +  // based on the executor memory.
    +  val KUBERNETES_EXECUTOR_MEMORY_OVERHEAD =
    +    ConfigBuilder("spark.kubernetes.executor.memoryOverhead")
    +      .doc("The amount of off-heap memory (in megabytes) to be allocated 
per executor. This " +
    +        "is memory that accounts for things like VM overheads, interned 
strings, other native " +
    +        "overheads, etc. This tends to grow with the executor size. 
(typically 6-10%).")
    +      .bytesConf(ByteUnit.MiB)
    +      .createOptional
    +
    +  val KUBERNETES_DRIVER_POD_NAME =
    +    ConfigBuilder("spark.kubernetes.driver.pod.name")
    +      .doc("Name of the driver pod.")
    +      .stringConf
    +      .createOptional
    +
    +  val KUBERNETES_EXECUTOR_POD_NAME_PREFIX =
    +    ConfigBuilder("spark.kubernetes.executor.podNamePrefix")
    +      .doc("Prefix to use in front of the executor pod names.")
    +      .internal()
    +      .stringConf
    +      .createWithDefault("spark")
    +
    +  val WAIT_FOR_APP_COMPLETION =
    +    ConfigBuilder("spark.kubernetes.submission.waitAppCompletion")
    +      .doc("In cluster mode, whether to wait for the application to finish 
before exiting the " +
    +        "launcher process.")
    +      .booleanConf
    +      .createWithDefault(true)
    +
    +  val REPORT_INTERVAL =
    +    ConfigBuilder("spark.kubernetes.report.interval")
    +      .doc("Interval between reports of the current app status in cluster 
mode.")
    +      .timeConf(TimeUnit.MILLISECONDS)
    +      .createWithDefaultString("1s")
    +
    +  val KUBERNETES_AUTH_SUBMISSION_CONF_PREFIX =
    +    "spark.kubernetes.authenticate.submission"
    +
    +  val KUBERNETES_NODE_SELECTOR_PREFIX = "spark.kubernetes.node.selector."
    +
    +  val KUBERNETES_DRIVER_LABEL_PREFIX = "spark.kubernetes.driver.label."
    +  val KUBERNETES_DRIVER_ANNOTATION_PREFIX = 
"spark.kubernetes.driver.annotation."
    +
    +  val KUBERNETES_EXECUTOR_LABEL_PREFIX = "spark.kubernetes.executor.label."
    +  val KUBERNETES_EXECUTOR_ANNOTATION_PREFIX = 
"spark.kubernetes.executor.annotation."
    +
    +  val KUBERNETES_DRIVER_ENV_KEY = "spark.kubernetes.driverEnv."
    +
    +  def getK8sMasterUrl(rawMasterString: String): String = {
    +    require(rawMasterString.startsWith("k8s://"),
    --- End diff --
    
    Shall we add some checks in `SparkSubmitArguments` for k8s master?


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