Github user liyinan926 commented on a diff in the pull request:

    https://github.com/apache/spark/pull/21669#discussion_r223438724
  
    --- Diff: 
resource-managers/kubernetes/core/src/main/scala/org/apache/spark/deploy/k8s/features/KerberosConfExecutorFeatureStep.scala
 ---
    @@ -0,0 +1,63 @@
    +/*
    + * 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.features
    +
    +import io.fabric8.kubernetes.api.model.HasMetadata
    +
    +import org.apache.spark.deploy.k8s.{KubernetesConf, KubernetesUtils, 
SparkPod}
    +import org.apache.spark.deploy.k8s.Config._
    +import org.apache.spark.deploy.k8s.Constants._
    +import org.apache.spark.deploy.k8s.KubernetesExecutorSpecificConf
    +import org.apache.spark.deploy.k8s.features.hadooputils.HadoopBootstrapUtil
    +import org.apache.spark.internal.Logging
    +
    + /**
    +  * This step is responsible for mounting the DT secret for the executors
    +  */
    +private[spark] class KerberosConfExecutorFeatureStep(
    +  kubernetesConf: KubernetesConf[KubernetesExecutorSpecificConf])
    +  extends KubernetesFeatureConfigStep with Logging{
    +   private val sparkConf = kubernetesConf.sparkConf
    +   private val maybeKrb5File = sparkConf.get(KUBERNETES_KERBEROS_KRB5_FILE)
    +   private val maybeKrb5CMap = 
sparkConf.get(KUBERNETES_KERBEROS_KRB5_CONFIG_MAP)
    +   KubernetesUtils.requireNandDefined(
    +     maybeKrb5File,
    +     maybeKrb5CMap,
    +     "Do not specify both a Krb5 local file and the ConfigMap as the 
creation " +
    +       "of an additional ConfigMap, when one is already specified, is 
extraneous")
    +
    +  override def configurePod(pod: SparkPod): SparkPod = {
    +    logInfo(s"Mounting Kerberos DT for Kerberos")
    +    HadoopBootstrapUtil.bootstrapKerberosPod(
    +      sparkConf.get(KERBEROS_KEYTAB_SECRET_NAME),
    +      sparkConf.get(KERBEROS_KEYTAB_SECRET_KEY),
    +      sparkConf.get(KERBEROS_SPARK_USER_NAME),
    +      maybeKrb5File,
    +      kubernetesConf.kRBConfigMapName,
    +      maybeKrb5CMap,
    +      pod)
    +  }
    +
    +  override def getAdditionalPodSystemProperties(): Map[String, String] = 
Map.empty
    +
    +  override def getAdditionalKubernetesResources(): Seq[HasMetadata] = {
    +    maybeKrb5File
    +      .map(fileLocation => HadoopBootstrapUtil.buildkrb5ConfigMap(
    --- End diff --
    
    Why you build the krb5 ConfigMap for executor pods? The ConfigMap should 
only be created once for the entire application and mount into the driver and 
executor pods.


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