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Merge pull request #71 from aarondav/scdefaults

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Spark shell exits if it cannot create SparkContext

Mainly, this occurs if you provide a messed up MASTER url (one that doesn't match one
of our regexes). Previously, we would default to Mesos, fail, and then start the shell
anyway, except that any Spark command would fail. Simply exiting seems clearer.
This commit is contained in:
Matei Zaharia 2013-10-18 20:24:10 -07:00
parent fc26e5b832 74737264c4
commit 8d528af829
2 changed files with 14 additions and 8 deletions
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13
core/src/main/scala/org/apache/spark/SparkContext.scala
View file

@ -217,21 +217,20 @@ class SparkContext(
scheduler.initialize(backend)
scheduler
case _ =>
if (MESOS_REGEX.findFirstIn(master).isEmpty) {
logWarning("Master %s does not match expected format, parsing as Mesos URL".format(master))
}
case MESOS_REGEX(mesosUrl) =>
MesosNativeLibrary.load()
val scheduler = new ClusterScheduler(this)
val coarseGrained = System.getProperty("spark.mesos.coarse", "false").toBoolean
val masterWithoutProtocol = master.replaceFirst("^mesos://", "") // Strip initial mesos://
val backend = if (coarseGrained) {
new CoarseMesosSchedulerBackend(scheduler, this, masterWithoutProtocol, appName)
new CoarseMesosSchedulerBackend(scheduler, this, mesosUrl, appName)
} else {
new MesosSchedulerBackend(scheduler, this, masterWithoutProtocol, appName)
new MesosSchedulerBackend(scheduler, this, mesosUrl, appName)
}
scheduler.initialize(backend)
scheduler
case _ =>
throw new SparkException("Could not parse Master URL: '" + master + "'")
}
}
taskScheduler.start()

7
repl/src/main/scala/org/apache/spark/repl/SparkILoop.scala
View file

@ -845,7 +845,14 @@ class SparkILoop(in0: Option[BufferedReader], val out: PrintWriter, val master:
val jars = Option(System.getenv("ADD_JARS")).map(_.split(','))
.getOrElse(new Array[String](0))
.map(new java.io.File(_).getAbsolutePath)
try {
sparkContext = new SparkContext(master, "Spark shell", System.getenv("SPARK_HOME"), jars)
} catch {
case e: Exception =>
e.printStackTrace()
echo("Failed to create SparkContext, exiting...")
sys.exit(1)
}
sparkContext
}