[SPARK-19925] SparkR spark.getSparkFiles fails on executor

• Type: Bug
• Status: Resolved
• Priority: Critical
• Resolution: Fixed
• Affects Version/s: 2.1.0
• Fix Version/s: 2.1.1, 2.2.0
• Component/s: SparkR
• Target Version/s: 2.2.0
• Assignee: Yanbo Liang
• Reporter: Yanbo Liang
• Created: 12/Mar/17 08:37
• Updated: 22/Mar/17 05:14
• Resolved: 22/Mar/17 05:14

Description

SparkR function spark.getSparkFiles fails when it was called on executors. For examples, the following R code will fail. (See error logs in attachment.)

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)

However, we can run successfully with Scala API:

import org.apache.spark.SparkFiles
sc.addFile("./README.md”)
sc.parallelize(Seq(0)).map{ _ => SparkFiles.get("README.md")}.first()

and also successfully with Python API:

from pyspark import SparkFiles
sc.addFile("./README.md")
sc.parallelize(range(1)).map(lambda x: SparkFiles.get("README.md")).first()

Issue Links

• links to: [Github] Pull Request #17274 (yanboliang)