[SPARK-8302] Support heterogeneous cluster install paths on YARN.

Some users have Hadoop installations on different paths across
their cluster. Currently, that makes it hard to set up some
configuration in Spark since that requires hardcoding paths to
jar files or native libraries, which wouldn't work on such a cluster.

This change introduces a couple of YARN-specific configurations
that instruct the backend to replace certain paths when launching
remote processes. That way, if the configuration says the Spark
jar is in "/spark/spark.jar", and also says that "/spark" should be
replaced with "{{SPARK_INSTALL_DIR}}", YARN will start containers
in the NMs with "{{SPARK_INSTALL_DIR}}/spark.jar" as the location
of the jar.

Coupled with YARN's environment whitelist (which allows certain
env variables to be exposed to containers), this allows users to
support such heterogeneous environments, as long as a single
replacement is enough. (Otherwise, this feature would need to be
extended to support multiple path replacements.)

Author: Marcelo Vanzin <vanzin@cloudera.com>

Closes apache#6752 from vanzin/SPARK-8302 and squashes the following commits:

4bff8d4 [Marcelo Vanzin] Add docs, rename configs.
0aa2a02 [Marcelo Vanzin] Only do replacement for paths that need it.
2e9cc9d [Marcelo Vanzin] Style.
a5e1f68 [Marcelo Vanzin] [SPARK-8302] Support heterogeneous cluster install paths on YARN.

docs/running-on-yarn.md

@@ -258,6 +258,32 @@ Most of the configs are the same for Spark on YARN as for other deployment modes
   Principal to be used to login to KDC, while running on secure HDFS.
   </td>
 </tr>
+<tr>
+  <td><code>spark.yarn.config.gatewayPath</code></td>
+  <td>(none)</td>
+  <td>
+  A path that is valid on the gateway host (the host where a Spark application is started) but may
+  differ for paths for the same resource in other nodes in the cluster. Coupled with
+  <code>spark.yarn.config.replacementPath</code>, this is used to support clusters with
+  heterogeneous configurations, so that Spark can correctly launch remote processes.
+  <p/>
+  The replacement path normally will contain a reference to some environment variable exported by
+  YARN (and, thus, visible to Spark containers).
+  <p/>
+  For example, if the gateway node has Hadoop libraries installed on <code>/disk1/hadoop</code>, and
+  the location of the Hadoop install is exported by YARN as the  <code>HADOOP_HOME</code>
+  environment variable, setting this value to <code>/disk1/hadoop</code> and the replacement path to
+  <code>$HADOOP_HOME</code> will make sure that paths used to launch remote processes properly
+  reference the local YARN configuration.
+  </td>
+</tr>
+<tr>
+  <td><code>spark.yarn.config.replacementPath</code></td>
+  <td>(none)</td>
+  <td>
+  See <code>spark.yarn.config.gatewayPath</code>.
+  </td>
+</tr>
 </table>
 
 # Launching Spark on YARN

yarn/src/main/scala/org/apache/spark/deploy/yarn/Client.scala

@@ -676,7 +676,7 @@ private[spark] class Client(
       val libraryPaths = Seq(sys.props.get("spark.driver.extraLibraryPath"),
         sys.props.get("spark.driver.libraryPath")).flatten
       if (libraryPaths.nonEmpty) {
-        prefixEnv = Some(Utils.libraryPathEnvPrefix(libraryPaths))
+        prefixEnv = Some(getClusterPath(sparkConf, Utils.libraryPathEnvPrefix(libraryPaths)))
       }
       if (sparkConf.getOption("spark.yarn.am.extraJavaOptions").isDefined) {
         logWarning("spark.yarn.am.extraJavaOptions will not take effect in cluster mode")
@@ -698,7 +698,7 @@ private[spark] class Client(
       }
 
       sparkConf.getOption("spark.yarn.am.extraLibraryPath").foreach { paths =>
-        prefixEnv = Some(Utils.libraryPathEnvPrefix(Seq(paths)))
+        prefixEnv = Some(getClusterPath(sparkConf, Utils.libraryPathEnvPrefix(Seq(paths))))
       }
     }
 
@@ -1106,10 +1106,10 @@ object Client extends Logging {
       env: HashMap[String, String],
       isAM: Boolean,
       extraClassPath: Option[String] = None): Unit = {
-    extraClassPath.foreach(addClasspathEntry(_, env))
-    addClasspathEntry(
-      YarnSparkHadoopUtil.expandEnvironment(Environment.PWD), env
-    )
+    extraClassPath.foreach { cp =>
+      addClasspathEntry(getClusterPath(sparkConf, cp), env)
+    }
+    addClasspathEntry(YarnSparkHadoopUtil.expandEnvironment(Environment.PWD), env)
 
     if (isAM) {
       addClasspathEntry(
@@ -1125,12 +1125,14 @@ object Client extends Logging {
           getUserClasspath(sparkConf)
         }
       userClassPath.foreach { x =>
-        addFileToClasspath(x, null, env)
+        addFileToClasspath(sparkConf, x, null, env)
       }
     }
-    addFileToClasspath(new URI(sparkJar(sparkConf)), SPARK_JAR, env)
+    addFileToClasspath(sparkConf, new URI(sparkJar(sparkConf)), SPARK_JAR, env)
     populateHadoopClasspath(conf, env)
-    sys.env.get(ENV_DIST_CLASSPATH).foreach(addClasspathEntry(_, env))
+    sys.env.get(ENV_DIST_CLASSPATH).foreach { cp =>
+      addClasspathEntry(getClusterPath(sparkConf, cp), env)
+    }
   }
 
   /**
@@ -1159,16 +1161,18 @@ object Client extends Logging {
    *
    * If not a "local:" file and no alternate name, the environment is not modified.
    *
+   * @parma conf      Spark configuration.
    * @param uri       URI to add to classpath (optional).
    * @param fileName  Alternate name for the file (optional).
    * @param env       Map holding the environment variables.
    */
   private def addFileToClasspath(
+      conf: SparkConf,
       uri: URI,
       fileName: String,
       env: HashMap[String, String]): Unit = {
     if (uri != null && uri.getScheme == LOCAL_SCHEME) {
-      addClasspathEntry(uri.getPath, env)
+      addClasspathEntry(getClusterPath(conf, uri.getPath), env)
     } else if (fileName != null) {
       addClasspathEntry(buildPath(
         YarnSparkHadoopUtil.expandEnvironment(Environment.PWD), fileName), env)
@@ -1182,6 +1186,29 @@ object Client extends Logging {
   private def addClasspathEntry(path: String, env: HashMap[String, String]): Unit =
     YarnSparkHadoopUtil.addPathToEnvironment(env, Environment.CLASSPATH.name, path)
 
+  /**
+   * Returns the path to be sent to the NM for a path that is valid on the gateway.
+   *
+   * This method uses two configuration values:
+   *
+   * - spark.yarn.config.gatewayPath: a string that identifies a portion of the input path that may
+   *   only be valid in the gateway node.
+   * - spark.yarn.config.replacementPath: a string with which to replace the gateway path. This may
+   *   contain, for example, env variable references, which will be expanded by the NMs when
+   *   starting containers.
+   *
+   * If either config is not available, the input path is returned.
+   */
+  def getClusterPath(conf: SparkConf, path: String): String = {
+    val localPath = conf.get("spark.yarn.config.gatewayPath", null)
+    val clusterPath = conf.get("spark.yarn.config.replacementPath", null)
+    if (localPath != null && clusterPath != null) {
+      path.replace(localPath, clusterPath)
+    } else {
+      path
+    }
+  }
+
   /**
    * Obtains token for the Hive metastore and adds them to the credentials.
    */

yarn/src/main/scala/org/apache/spark/deploy/yarn/ExecutorRunnable.scala

@@ -146,7 +146,7 @@ class ExecutorRunnable(
       javaOpts ++= Utils.splitCommandString(opts).map(YarnSparkHadoopUtil.escapeForShell)
     }
     sys.props.get("spark.executor.extraLibraryPath").foreach { p =>
-      prefixEnv = Some(Utils.libraryPathEnvPrefix(Seq(p)))
+      prefixEnv = Some(Client.getClusterPath(sparkConf, Utils.libraryPathEnvPrefix(Seq(p))))
     }
 
     javaOpts += "-Djava.io.tmpdir=" +
@@ -195,7 +195,7 @@ class ExecutorRunnable(
     val userClassPath = Client.getUserClasspath(sparkConf).flatMap { uri =>
       val absPath =
         if (new File(uri.getPath()).isAbsolute()) {
-          uri.getPath()
+          Client.getClusterPath(sparkConf, uri.getPath())
         } else {
           Client.buildPath(Environment.PWD.$(), uri.getPath())
         }

yarn/src/test/scala/org/apache/spark/deploy/yarn/ClientSuite.scala

@@ -151,6 +151,25 @@ class ClientSuite extends SparkFunSuite with Matchers with BeforeAndAfterAll {
     }
   }
 
+  test("Cluster path translation") {
+    val conf = new Configuration()
+    val sparkConf = new SparkConf()
+      .set(Client.CONF_SPARK_JAR, "local:/localPath/spark.jar")
+      .set("spark.yarn.config.gatewayPath", "/localPath")
+      .set("spark.yarn.config.replacementPath", "/remotePath")
+
+    Client.getClusterPath(sparkConf, "/localPath") should be ("/remotePath")
+    Client.getClusterPath(sparkConf, "/localPath/1:/localPath/2") should be (
+      "/remotePath/1:/remotePath/2")
+
+    val env = new MutableHashMap[String, String]()
+    Client.populateClasspath(null, conf, sparkConf, env, false,
+      extraClassPath = Some("/localPath/my1.jar"))
+    val cp = classpath(env)
+    cp should contain ("/remotePath/spark.jar")
+    cp should contain ("/remotePath/my1.jar")
+  }
+
   object Fixtures {
 
     val knownDefYarnAppCP: Seq[String] =