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https://issues.apache.org/jira/browse/SPARK-11909?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15020976#comment-15020976
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Sean Owen commented on SPARK-11909:
-----------------------------------
I disagree. The default is not a well-known port like 80 for HTTP. It makes
sense to avoid confusion by explicitly stating the port, as with launching the
master.
> Spark Standalone's master URL accepts URLs without port (assuming default
> 7077)
> -------------------------------------------------------------------------------
>
> Key: SPARK-11909
> URL: https://issues.apache.org/jira/browse/SPARK-11909
> Project: Spark
> Issue Type: Improvement
> Components: Spark Core
> Affects Versions: 1.6.0
> Reporter: Jacek Laskowski
> Priority: Trivial
>
> It's currently impossible to use {{spark://localhost}} URL for Spark
> Standalone's master. With the feature supported, it'd be less to know to get
> started with the mode (and hence improve user friendliness).
> I think no-port master URL should be supported and assume the default port
> {{7077}}.
> {code}
> org.apache.spark.SparkException: Invalid master URL: spark://localhost
> at
> org.apache.spark.util.Utils$.extractHostPortFromSparkUrl(Utils.scala:2088)
> at org.apache.spark.rpc.RpcAddress$.fromSparkURL(RpcAddress.scala:47)
> at
> org.apache.spark.deploy.client.AppClient$$anonfun$1.apply(AppClient.scala:48)
> at
> org.apache.spark.deploy.client.AppClient$$anonfun$1.apply(AppClient.scala:48)
> at
> scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:245)
> at
> scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:245)
> at
> scala.collection.IndexedSeqOptimized$class.foreach(IndexedSeqOptimized.scala:33)
> at scala.collection.mutable.ArrayOps$ofRef.foreach(ArrayOps.scala:186)
> at scala.collection.TraversableLike$class.map(TraversableLike.scala:245)
> at scala.collection.mutable.ArrayOps$ofRef.map(ArrayOps.scala:186)
> at org.apache.spark.deploy.client.AppClient.<init>(AppClient.scala:48)
> at
> org.apache.spark.scheduler.cluster.SparkDeploySchedulerBackend.start(SparkDeploySchedulerBackend.scala:93)
> at
> org.apache.spark.scheduler.TaskSchedulerImpl.start(TaskSchedulerImpl.scala:144)
> at org.apache.spark.SparkContext.<init>(SparkContext.scala:530)
> {code}
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