Github user mccheah commented on a diff in the pull request:
https://github.com/apache/spark/pull/21669#discussion_r221755588
--- Diff:
resource-managers/kubernetes/core/src/main/scala/org/apache/spark/deploy/k8s/features/HadoopGlobalFeatureDriverStep.scala
---
@@ -0,0 +1,151 @@
+/*
+ * 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 java.io.File
+
+import scala.collection.JavaConverters._
+
+import com.google.common.base.Charsets
+import com.google.common.io.Files
+import io.fabric8.kubernetes.api.model.{ConfigMapBuilder, 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.KubernetesDriverSpecificConf
+import org.apache.spark.deploy.k8s.features.hadoopsteps._
+import org.apache.spark.internal.Logging
+
+ /**
+ * Runs the necessary Hadoop-based logic based on Kerberos configs and
the presence of the
+ * HADOOP_CONF_DIR. This runs various bootstrap methods defined in
HadoopBootstrapUtil.
+ */
+private[spark] class HadoopGlobalFeatureDriverStep(
+ kubernetesConf: KubernetesConf[KubernetesDriverSpecificConf])
+ extends KubernetesFeatureConfigStep with Logging {
+
+ private val conf = kubernetesConf.sparkConf
+ private val maybePrincipal =
conf.get(org.apache.spark.internal.config.PRINCIPAL)
+ private val maybeKeytab =
conf.get(org.apache.spark.internal.config.KEYTAB)
+ private val maybeExistingSecretName =
conf.get(KUBERNETES_KERBEROS_DT_SECRET_NAME)
+ private val maybeExistingSecretItemKey =
+ conf.get(KUBERNETES_KERBEROS_DT_SECRET_ITEM_KEY)
+ private val kubeTokenManager = kubernetesConf.tokenManager
+ private val isKerberosEnabled = kubeTokenManager.isSecurityEnabled
+
+ require(maybeKeytab.forall( _ => isKerberosEnabled ),
+ "You must enable Kerberos support if you are specifying a Kerberos
Keytab")
+
+ require(maybeExistingSecretName.forall( _ => isKerberosEnabled ),
+ "You must enable Kerberos support if you are specifying a Kerberos
Secret")
+
+ KubernetesUtils.requireBothOrNeitherDefined(
+ maybeKeytab,
+ maybePrincipal,
+ "If a Kerberos principal is specified you must also specify a
Kerberos keytab",
+ "If a Kerberos keytab is specified you must also specify a Kerberos
principal")
+
+ KubernetesUtils.requireBothOrNeitherDefined(
+ maybeExistingSecretName,
+ maybeExistingSecretItemKey,
+ "If a secret data item-key where the data of the Kerberos Delegation
Token is specified" +
+ " you must also specify the name of the secret",
+ "If a secret storing a Kerberos Delegation Token is specified you
must also" +
+ " specify the item-key where the data is stored")
+
+ require(kubernetesConf.hadoopConfDir.isDefined, "Ensure that
HADOOP_CONF_DIR is defined")
+ private val hadoopConfDir = kubernetesConf.hadoopConfDir.get
+ private val hadoopConfigurationFiles =
kubeTokenManager.getHadoopConfFiles(hadoopConfDir)
+
+ // Either use pre-existing secret or login to create new Secret with
DT stored within
+ private val hadoopSpec: Option[KerberosConfigSpec] = (for {
--- End diff --
Can bundle secret name and secret key in a case class so that for... yield
isn't necessary.
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