问题
I have a CSV file "test.csv" that I'm trying to have copied to all nodes on the cluster.
I have a 4 node apache-spark 1.5.2 standalone cluster. There are 4 workers where one node also acts has master/driver as well as the worker.
If I run:
$SPARK_HOME/bin/pyspark --files=./test.csv OR from within the REPL interface execute sc.addFile('file://' + '/local/path/to/test.csv')
I see spark log the following:
16/05/05 15:26:08 INFO Utils: Copying /local/path/to/test.csv to /tmp/spark-5dd7fc83-a3ef-4965-95ba-1b62955fb35b/userFiles-a4cb1723-e118-4f0b-9f26-04be39e5e28d/test.csv
16/05/05 15:26:08 INFO SparkContext: Added file file:/local/path/to/test.csv at http://192.168.1.4:39578/files/test.csv with timestamp 1462461968158
In a separate window on the master/driver node, I can easily locate the file using ls, i.e. (ls -al /tmp/spark-5dd7fc83-a3ef-4965-95ba-1b62955fb35b/userFiles-a4cb1723-e118-4f0b-9f26-04be39e5e28d/test.csv).
However if I log into the the workers, there is no file at /tmp/spark-5dd7fc83-a3ef-4965-95ba-1b62955fb35b/userFiles-a4cb1723-e118-4f0b-9f26-04be39e5e28d/test.csv and not even a folder at /tmp/spark-5dd7fc83-a3ef-4965-95ba-1b62955fb35b
But the apache spark web interface shows a job running and cores allocated on all nodes, also no other warnings or errors appear in the console.
回答1:
As Daniel commented, each worker manages files differently. If you want to access the added file, then you can use SparkFiles.get(file). If you want to see which directory your files are going to, then you can print the output of SparkFiles.getDirectory (now SparkFiles.getRootDirectory)
来源：https://stackoverflow.com/questions/37055038/why-are-sc-addfile-and-spark-submit-files-not-distributing-a-local-file-to