Have you tried
flightsDF <- read.df(sqlContext, "/home/myuser/test_data/sparkR/flights.csv",
source = "com.databricks.spark.csv", header = "true")
_____________________________
From: Boyu Zhang <boyuzhan...@gmail.com>
Sent: Tuesday, December 8, 2015 8:47 AM
Subject: SparkR read.df failed to read file from local directory
To: <user@spark.apache.org>
Hello everyone,
I tried to run the example data--manipulation.R, and can't get it to
read the flights.csv file that is stored in my local fs. I don't want to store
big files in my hdfs, so reading from a local fs (lustre fs) is the desired
behavior for me.
I tried the following:
flightsDF <- read.df(sqlContext,
"file:///home/myuser/test_data/sparkR/flights.csv", source =
"com.databricks.spark.csv", header = "true")
I got the message and eventually failed:
15/12/08 11:42:41 INFO storage.BlockManagerInfo: Added
broadcast_6_piece0 in memory on hathi-a003.rcac.purdue.edu:33894 (size:
14.4 KB, free: 530.2 MB) 15/12/08 11:42:41 WARN
scheduler.TaskSetManager: Lost task 0.0 in stage 3.0 (TID 9,
hathi-a003.rcac.purdue.edu): java.io.FileNotFoundException: File
file:/home/myuser/test_data/sparkR/flights.csv does not exist at
org.apache.hadoop.fs.RawLocalFileSystem.getFileStatus(RawLocalFileSystem.java:520)
at
org.apache.hadoop.fs.FilterFileSystem.getFileStatus(FilterFileSystem.java:398)
at
org.apache.hadoop.fs.ChecksumFileSystem$ChecksumFSInputChecker.<init>(ChecksumFileSystem.java:137)
at
org.apache.hadoop.fs.ChecksumFileSystem.open(ChecksumFileSystem.java:339)
at org.apache.hadoop.fs.FileSystem.open(FileSystem.java:763)
at org.apache.hadoop.mapred.LineRecordReader.<init>(LineRecordReader.java:106)
at
org.apache.hadoop.mapred.TextInputFormat.getRecordReader(TextInputFormat.java:67)
at
org.apache.spark.rdd.HadoopRDD$$anon$1.<init>(HadoopRDD.scala:239)
at org.apache.spark.rdd.HadoopRDD.compute(HadoopRDD.scala:216) at
org.apache.spark.rdd.HadoopRDD.compute(HadoopRDD.scala:101) at
org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:297) at
org.apache.spark.rdd.RDD.iterator(RDD.scala:264) at
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:297)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:264) at
org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66)
at org.apache.spark.scheduler.Task.run(Task.scala:88) at
org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214)
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
at java.lang.Thread.run(Thread.java:745)
Can someone please provide comments? Any tips is appreciated, thank
you!
Boyu Zhang
