[jira] [Assigned] (SPARK-19925) SparkR spark.getSparkFiles fails on executor

["Apache Spark (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-19925?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Apache Spark reassigned SPARK-19925:
------------------------------------

    Assignee: Apache Spark

> SparkR spark.getSparkFiles fails on executor
> --------------------------------------------
>
>                 Key: SPARK-19925
>                 URL: https://issues.apache.org/jira/browse/SPARK-19925
>             Project: Spark
>          Issue Type: Bug
>          Components: SparkR
>    Affects Versions: 2.1.0
>            Reporter: Yanbo Liang
>            Assignee: Apache Spark
>            Priority: Critical
>         Attachments: error-log
>
>
> SparkR function {{spark.getSparkFiles}} fails when it was called on executors. For examples, the following R code will fail. (See error logs in attachment.) 
> {code}
> spark.addFile("./README.md")
> seq <- seq(from = 1, to = 10, length.out = 5)
> train <- function(seq) {
> path <- spark.getSparkFiles("README.md")
> print(path)
> }
> spark.lapply(seq, train)
> {code}
> However, we can run successfully with Scala API:
> {code}
> import org.apache.spark.SparkFiles
> sc.addFile("./README.md”)
> sc.parallelize(Seq(0)).map{ _ => SparkFiles.get("README.md")}.first()
> {code}
> and also successfully with Python API:
> {code}
> from pyspark import SparkFiles
> sc.addFile("./README.md")
> sc.parallelize(range(1)).map(lambda x: SparkFiles.get("README.md")).first()
> {code}



--
This message was sent by Atlassian JIRA
(v6.3.15#6346)

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