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[SPARK-25815][k8s] Support kerberos in client mode, keytab-based token renewal. #22911
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@@ -144,6 +144,10 @@ private[spark] class BasicExecutorFeatureStep( | |
.addToLimits("memory", executorMemoryQuantity) | ||
.addToRequests("cpu", executorCpuQuantity) | ||
.endResources() | ||
.addNewEnv() | ||
.withName(ENV_SPARK_USER) | ||
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. I see that you noted that this is always done across resource managers. What is the reason for that, just wondering? as I introduced it exclusively in the HadoopSteps There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. If you don't do this, whatever is the OS user in the container will become the identity used to talk to Hadoop services (when kerberos is not on). In YARN, for example, that would be the "yarn" user. In k8s, with the current image, that would be "root". You probably don't want that by default. We're talking about non-secured Hadoop here, so users can easily override this stuff, but by default let's at least try to identify the user correctly. |
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.withValue(Utils.getCurrentUserName()) | ||
.endEnv() | ||
.addAllToEnv(executorEnv.asJava) | ||
.withPorts(requiredPorts.asJava) | ||
.addToArgs("executor") | ||
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@@ -0,0 +1,114 @@ | ||
/* | ||
* 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 | ||
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import io.fabric8.kubernetes.api.model.{ContainerBuilder, HasMetadata, PodBuilder, SecretBuilder} | ||
import org.apache.commons.codec.binary.Base64 | ||
import org.apache.hadoop.security.UserGroupInformation | ||
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import org.apache.spark.deploy.SparkHadoopUtil | ||
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.security.HadoopDelegationTokenManager | ||
import org.apache.spark.internal.config._ | ||
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/** | ||
* Delegation token support for Spark apps on kubernetes. | ||
* | ||
* When preparing driver resources, this step will generate delegation tokens for the app if | ||
* they're needed. | ||
* | ||
* When preparing pods, this step will mount the delegation token secret (either pre-defined, | ||
* or generated by this step when preparing the driver). | ||
*/ | ||
private[spark] class DelegationTokenFeatureStep(conf: KubernetesConf[_], isDriver: Boolean) | ||
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. During the recent discussion in the sig meeting I was thinking about this guy. I think it may not be necessary to mount this secret in executors, and let the driver propagate the tokens to executors through its normal means. e.g. later if/when adding code to monitor delegation tokens for updates, that would mean only the driver has to do it. I'll git this a try; if it works, it might be feasible to re-merge this code with the kerberos step. There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. This is what I meant above when I said that the There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. I think you're missing one use case there. There are 3 use cases:
The third use case is actually the most common. In your reply above you're only covering the other two. My code covers all three. I'm just saying that this code actually doesn't need to do anything on the executor side, because the driver takes care of everything when the credentials are provided. |
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extends KubernetesFeatureConfigStep { | ||
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private val existingSecret = conf.get(KUBERNETES_KERBEROS_DT_SECRET_NAME) | ||
private val existingItemKey = conf.get(KUBERNETES_KERBEROS_DT_SECRET_ITEM_KEY) | ||
private val shouldCreateTokens = isDriver && !conf.sparkConf.contains(KEYTAB) && | ||
existingSecret.isEmpty && isSecurityEnabled | ||
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KubernetesUtils.requireBothOrNeitherDefined( | ||
existingSecret, | ||
existingItemKey, | ||
"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") | ||
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private def dtSecretName: String = s"${conf.appResourceNamePrefix}-delegation-tokens" | ||
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override def configurePod(pod: SparkPod): SparkPod = { | ||
pod.transform { case pod if shouldCreateTokens | existingSecret.isDefined => | ||
val secretName = existingSecret.getOrElse(dtSecretName) | ||
val itemKey = existingItemKey.getOrElse(KERBEROS_SECRET_KEY) | ||
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val podWithTokens = new PodBuilder(pod.pod) | ||
.editOrNewSpec() | ||
.addNewVolume() | ||
.withName(SPARK_APP_HADOOP_SECRET_VOLUME_NAME) | ||
.withNewSecret() | ||
.withSecretName(secretName) | ||
.endSecret() | ||
.endVolume() | ||
.endSpec() | ||
.build() | ||
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val containerWithTokens = new ContainerBuilder(pod.container) | ||
.addNewVolumeMount() | ||
.withName(SPARK_APP_HADOOP_SECRET_VOLUME_NAME) | ||
.withMountPath(SPARK_APP_HADOOP_CREDENTIALS_BASE_DIR) | ||
.endVolumeMount() | ||
.addNewEnv() | ||
.withName(ENV_HADOOP_TOKEN_FILE_LOCATION) | ||
.withValue(s"$SPARK_APP_HADOOP_CREDENTIALS_BASE_DIR/$itemKey") | ||
.endEnv() | ||
.build() | ||
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SparkPod(podWithTokens, containerWithTokens) | ||
} | ||
} | ||
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override def getAdditionalKubernetesResources(): Seq[HasMetadata] = { | ||
if (shouldCreateTokens) { | ||
val tokenData = createDelegationTokens() | ||
Seq(new SecretBuilder() | ||
.withNewMetadata() | ||
.withName(dtSecretName) | ||
.endMetadata() | ||
.addToData(KERBEROS_SECRET_KEY, Base64.encodeBase64String(tokenData)) | ||
.build()) | ||
} else { | ||
Nil | ||
} | ||
} | ||
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// Visible for testing. | ||
def isSecurityEnabled: Boolean = UserGroupInformation.isSecurityEnabled() | ||
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// Visible for testing. | ||
def createDelegationTokens(): Array[Byte] = { | ||
val tokenManager = new HadoopDelegationTokenManager(conf.sparkConf, | ||
SparkHadoopUtil.get.newConfiguration(conf.sparkConf)) | ||
val creds = UserGroupInformation.getCurrentUser().getCredentials() | ||
tokenManager.obtainDelegationTokens(creds) | ||
SparkHadoopUtil.get.serialize(creds) | ||
} | ||
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} |
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I added this because I started to get tired of code like the following:
To me that's hard to follow and brittle, and this pattern makes things clearer IMO.
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I would think that this change is out of the scope of this PR, but I do love the use of a PartialFunction here. Thanks for this!