You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Sean Owen (JIRA)" <ji...@apache.org> on 2015/11/22 13:52:10 UTC

[jira] [Commented] (SPARK-11909) Spark Standalone's master URL accepts URLs without port (assuming default 7077)

    [ https://issues.apache.org/jira/browse/SPARK-11909?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15020976#comment-15020976 ] 

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}



--
This message was sent by Atlassian JIRA
(v6.3.4#6332)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org