Github user vanzin commented on a diff in the pull request:
https://github.com/apache/spark/pull/2516#discussion_r18001707
--- Diff:
core/src/main/scala/org/apache/spark/deploy/SparkSubmitArguments.scala ---
@@ -17,164 +17,205 @@
package org.apache.spark.deploy
-import java.io.{File, FileInputStream, IOException}
-import java.util.Properties
+import java.io.{InputStream, File, FileInputStream}
import java.util.jar.JarFile
-
+import java.util.Properties
+import java.util.{Map=>JavaMap}
import scala.collection.JavaConversions._
-import scala.collection.mutable.{ArrayBuffer, HashMap}
-import org.apache.spark.SparkException
+import org.apache.spark.deploy.ConfigConstants._
import org.apache.spark.util.Utils
+import scala.collection._
+import scala.collection.JavaConverters._
+import scala.collection.{mutable=>m}
+
/**
- * Parses and encapsulates arguments from the spark-submit script.
- */
+ * Pulls configuration information together in order of priority
+ *
+ * Entries in the conf Map will be filled in the following priority order
+ * 1. entries specified on the command line (except from --conf entries)
+ * 2. Entries specified on the command line with --conf
+ * 3. Environment variables (including legacy variable mappings)
+ * 4. System config variables (eg by using -Dspark.var.name)
+ * 5 SPARK_DEFAULT_CONF/spark-defaults.conf or
SPARK_HOME/conf/spark-defaults.conf if either exist
+ * 6. hard coded defaults in class path at spark-submit-defaults.prop
+ *
+ * A property file specified by one of the means listed above gets read in
and the properties are
+ * considered to be at the priority of the method that specified the
files. A property specified in
+ * a property file will not override an existing config value at that same
level
+*/
private[spark] class SparkSubmitArguments(args: Seq[String]) {
- var master: String = null
- var deployMode: String = null
- var executorMemory: String = null
- var executorCores: String = null
- var totalExecutorCores: String = null
- var propertiesFile: String = null
- var driverMemory: String = null
- var driverExtraClassPath: String = null
- var driverExtraLibraryPath: String = null
- var driverExtraJavaOptions: String = null
- var driverCores: String = null
- var supervise: Boolean = false
- var queue: String = null
- var numExecutors: String = null
- var files: String = null
- var archives: String = null
- var mainClass: String = null
- var primaryResource: String = null
- var name: String = null
- var childArgs: ArrayBuffer[String] = new ArrayBuffer[String]()
- var jars: String = null
- var verbose: Boolean = false
- var isPython: Boolean = false
- var pyFiles: String = null
- val sparkProperties: HashMap[String, String] = new HashMap[String,
String]()
-
- /** Default properties present in the currently defined defaults file. */
- lazy val defaultSparkProperties: HashMap[String, String] = {
- val defaultProperties = new HashMap[String, String]()
- if (verbose) SparkSubmit.printStream.println(s"Using properties file:
$propertiesFile")
- Option(propertiesFile).foreach { filename =>
- val file = new File(filename)
- SparkSubmitArguments.getPropertiesFromFile(file).foreach { case (k,
v) =>
- if (k.startsWith("spark")) {
- defaultProperties(k) = v
- if (verbose) SparkSubmit.printStream.println(s"Adding default
property: $k=$v")
- } else {
- SparkSubmit.printWarning(s"Ignoring non-spark config property:
$k=$v")
- }
- }
- }
- defaultProperties
- }
+ /**
+ * Stores all configuration items except for child arguments,
+ * referenced by the constantsdefined in ConfigConstants.scala
+ */
+ val conf = new m.HashMap[String, String]()
+
+ def master = conf.get(SparkMaster).get
+ def master_= (value: String):Unit = conf.put(SparkMaster, value)
+
+ def deployMode = conf.get(SparkDeployMode).get
+ def deployMode_= (value: String):Unit = conf.put(SparkDeployMode, value)
+
+ def executorMemory = conf.get(SparkExecutorMemory).get
+ def executorMemory_= (value: String):Unit =
conf.put(SparkExecutorMemory, value)
+
+ def executorCores = conf.get(SparkExecutorCores).get
+ def executorCores_= (value: String):Unit = conf.put(SparkExecutorCores,
value)
+
+ def totalExecutorCores = conf.get(SparkCoresMax)
+ def totalExecutorCores_= (value: String):Unit = conf.put(SparkCoresMax,
value)
+
+ def driverMemory = conf.get(SparkDriverMemory).get
+ def driverMemory_= (value: String):Unit = conf.put(SparkDriverMemory,
value)
+
+ def driverExtraClassPath = conf.get(SparkDriverExtraClassPath)
+ def driverExtraClassPath_= (value: String):Unit =
conf.put(SparkDriverExtraClassPath, value)
+
+ def driverExtraLibraryPath = conf.get(SparkDriverExtraLibraryPath)
+ def driverExtraLibraryPath_= (value: String):Unit =
conf.put(SparkDriverExtraLibraryPath, value)
+
+ def driverExtraJavaOptions = conf.get(SparkDriverExtraJavaOptions)
+ def driverExtraJavaOptions_= (value: String):Unit =
conf.put(SparkDriverExtraJavaOptions, value)
+
+ def driverCores = conf.get(SparkDriverCores).get
+ def driverCores_= (value: String):Unit = conf.put(SparkDriverCores,
value)
+
+ def supervise = conf.get(SparkDriverSupervise).get == true.toString
+ def supervise_= (value: String):Unit = conf.put(SparkDriverSupervise,
value)
+
+ def queue = conf.get(SparkYarnQueue).get
+ def queue_= (value: String):Unit = conf.put(SparkYarnQueue, value)
+
+ def numExecutors = conf.get(SparkExecutorInstances).get
+ def numExecutors_= (value: String):Unit =
conf.put(SparkExecutorInstances, value)
- // Respect SPARK_*_MEMORY for cluster mode
- driverMemory = sys.env.get("SPARK_DRIVER_MEMORY").orNull
- executorMemory = sys.env.get("SPARK_EXECUTOR_MEMORY").orNull
+ def files = conf.get(SparkFiles)
+ def files_= (value: String):Unit = conf.put(SparkFiles, value)
- parseOpts(args.toList)
- mergeSparkProperties()
- checkRequiredArguments()
+ def archives = conf.get(SparkYarnDistArchives)
+ def archives_= (value: String):Unit = conf.put(SparkYarnDistArchives,
value)
+ def mainClass = conf.get(SparkAppClass)
+ def mainClass_= (value: String):Unit = conf.put(SparkAppClass, value)
+
+ def primaryResource = conf.get(SparkAppPrimaryResource)
+ def primaryResource_= (value: String):Unit =
conf.put(SparkAppPrimaryResource, value)
+
+ def name = conf.get(SparkAppName)
+ def name_= (value: String):Unit = conf.put(SparkAppName, value)
+
+ def jars = conf.get(SparkJars)
+ def jars_= (value: String):Unit = conf.put(SparkJars, value)
+
+ def pyFiles = conf.get(SparkSubmitPyFiles)
+ def pyFiles_= (value: String):Unit = conf.put(SparkSubmitPyFiles, value)
+
+ lazy val verbose: Boolean = SparkVerbose == true.toString
+ lazy val isPython: Boolean = primaryResource.isDefined &&
+ SparkSubmit.isPython(primaryResource.get)
+
+ var childArgs: m.ArrayBuffer[String] = new m.ArrayBuffer[String]()
+
/**
- * Fill in any undefined values based on the default properties file or
options passed in through
- * the '--conf' flag.
+ * Used to store parameters parsed from command line (except for --conf
and child arguments)
*/
- private def mergeSparkProperties(): Unit = {
- // Use common defaults file, if not specified by user
- if (propertiesFile == null) {
- sys.env.get("SPARK_CONF_DIR").foreach { sparkConfDir =>
- val sep = File.separator
- val defaultPath = s"${sparkConfDir}${sep}spark-defaults.conf"
- val file = new File(defaultPath)
- if (file.exists()) {
- propertiesFile = file.getAbsolutePath
- }
- }
- }
+ private val cmdLineConfig = new m.HashMap[String, String]()
- if (propertiesFile == null) {
- sys.env.get("SPARK_HOME").foreach { sparkHome =>
- val sep = File.separator
- val defaultPath =
s"${sparkHome}${sep}conf${sep}spark-defaults.conf"
- val file = new File(defaultPath)
- if (file.exists()) {
- propertiesFile = file.getAbsolutePath
- }
- }
- }
+ /**
+ * arguments passed via --conf command line options
+ */
+ private val cmdLineConfConfig = new m.HashMap[String, String]()
- val properties = HashMap[String, String]()
- properties.putAll(defaultSparkProperties)
- properties.putAll(sparkProperties)
-
- // Use properties file as fallback for values which have a direct
analog to
- // arguments in this script.
- master =
Option(master).getOrElse(properties.get("spark.master").orNull)
- executorMemory = Option(executorMemory)
- .getOrElse(properties.get("spark.executor.memory").orNull)
- executorCores = Option(executorCores)
- .getOrElse(properties.get("spark.executor.cores").orNull)
- totalExecutorCores = Option(totalExecutorCores)
- .getOrElse(properties.get("spark.cores.max").orNull)
- name = Option(name).getOrElse(properties.get("spark.app.name").orNull)
- jars = Option(jars).getOrElse(properties.get("spark.jars").orNull)
-
- // This supports env vars in older versions of Spark
- master = Option(master).getOrElse(System.getenv("MASTER"))
- deployMode = Option(deployMode).getOrElse(System.getenv("DEPLOY_MODE"))
+ try
+ {
+ parseOpts(args.toList)
+
+ // see comments at start of file detailing the location and priority
of configuration sources
+ conf ++=
SparkSubmitArguments.mergeSparkProperties(Vector(cmdLineConfig,
cmdLineConfConfig))
+
+ // some configuration items can be derived if there are not present
+ deriveConfigurations()
+
+ checkRequiredArguments()
+ } catch {
+ case e: SparkSubmit.ApplicationExitException =>
+ ; // should only get here during test running
+ }
+
+
+ private def deriveConfigurations() = {
+
+ // These config items point to file paths, but may need to be
converted to absolute file uris
+ val configFileUris = List(SparkFiles, SparkSubmitPyFiles,
SparkYarnDistArchives,
+ SparkJars, SparkAppPrimaryResource)
+
+ val resolvedFileUris = for{
--- End diff --
Ok, this looks super convoluted. Let me take a stab at something cleaner:
val resolvedUris = configFileUris.
.filter { key =>
conf.contains(key) &&
((key != SparkAppPrimaryResource) ||
(!SparkSubmit.isInternalOrShell(conf(key)))
}
.map { key =>
Utils.resolveURIs(conf(key), testWindows=false)
}
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