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https://issues.apache.org/jira/browse/SPARK-19925?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15907366#comment-15907366
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Apache Spark commented on SPARK-19925:
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User 'yanboliang' has created a pull request for this issue:
https://github.com/apache/spark/pull/17274
> 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
> 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}
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