[
https://issues.apache.org/jira/browse/SPARK-19925?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Yanbo Liang updated SPARK-19925:
--------------------------------
Description:
{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}
We can successfully get the result 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 Python API:
{code}
from pyspark import SparkFiles
sc.addFile("./README.md")
sc.parallelize(range(1)).map(lambda x: SparkFiles.get("README.md")).first()
{code}
was:
{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}
We can successfully get the result with Scala API:
{code}
sc.addFile("./README.md”)
sc.parallelize(Seq(0)).map { _ =>
scala.io.Source.fromFile(SparkFiles.get("README.md")).mkString
}.first()
{code}
and Python API:
{code}
from pyspark import SparkFiles
sc.addFile("./README.md")
sc.parallelize(range(1)).map(lambda x: SparkFiles.get("README.md")).first()
{code}
> 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
>
> {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}
> We can successfully get the result 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 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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