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From vanzin <...@git.apache.org>
Subject [GitHub] spark pull request #19468: [SPARK-18278] [Scheduler] Spark on Kubernetes - B...
Date Tue, 17 Oct 2017 21:29:47 GMT
Github user vanzin commented on a diff in the pull request:

    https://github.com/apache/spark/pull/19468#discussion_r145254588
  
    --- Diff: resource-managers/kubernetes/core/src/main/scala/org/apache/spark/scheduler/cluster/k8s/ExecutorPodFactory.scala
---
    @@ -0,0 +1,228 @@
    +/*
    + * 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.scheduler.cluster.k8s
    +
    +import scala.collection.JavaConverters._
    +
    +import io.fabric8.kubernetes.api.model.{ContainerBuilder, ContainerPortBuilder, EnvVar,
EnvVarBuilder, EnvVarSourceBuilder, Pod, PodBuilder, QuantityBuilder}
    +import org.apache.commons.io.FilenameUtils
    +
    +import org.apache.spark.{SparkConf, SparkException}
    +import org.apache.spark.deploy.k8s.ConfigurationUtils
    +import org.apache.spark.deploy.k8s.config._
    +import org.apache.spark.deploy.k8s.constants._
    +import org.apache.spark.util.Utils
    +
    +// Configures executor pods. Construct one of these with a SparkConf to set up properties
that are
    +// common across all executors. Then, pass in dynamic parameters into createExecutorPod.
    +private[spark] trait ExecutorPodFactory {
    +  def createExecutorPod(
    +      executorId: String,
    +      applicationId: String,
    +      driverUrl: String,
    +      executorEnvs: Seq[(String, String)],
    +      driverPod: Pod,
    +      nodeToLocalTaskCount: Map[String, Int]): Pod
    +}
    +
    +private[spark] class ExecutorPodFactoryImpl(sparkConf: SparkConf)
    +  extends ExecutorPodFactory {
    +
    +  import ExecutorPodFactoryImpl._
    +
    +  private val executorExtraClasspath = sparkConf.get(
    +      org.apache.spark.internal.config.EXECUTOR_CLASS_PATH)
    +  private val executorJarsDownloadDir = sparkConf.get(INIT_CONTAINER_JARS_DOWNLOAD_LOCATION)
    +
    +  private val executorLabels = ConfigurationUtils.parsePrefixedKeyValuePairs (
    --- End diff --
    
    No space before parenthesis.


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