Comments (6)
@rahuljain788 from which location are you starting sparkling-shell
?
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@mdymczyk am running it from the shell using command bin/sparkling-shell --num-executors 3 --executor-memory 2g --master yarn-client
Its is successfully creating sql and sparContext but here it's throwing error
Using this example to test H20 : https://github.com/h2oai/sparkling-water/blob/c454f1f8b2e29c04b49df5bc629dbadce45bc89a/examples/README.md
Maybe am getting this error because am trying to run it in yarn-client mode
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@rahuljain788 when you're running it on yarn
then the data file has to be accessible to all executors (either on a distributed FS like HDFS or copied to all the executors). You're getting an NPE because you're trying to pass a local path to the parser and that file is accessible only from your driver. Passing the absolute path might work if your Hadoop cluster is running on your laptop.
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@mdymczyk Thank you for your reply.
The path i am passing is indeed HDFS directory path and not my driver path.
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@rahuljain788 so it's different than val dataFile = "examples/smalldata/allyears2k_headers.csv.gz"
? Because that's not a proper HDFS URI, this will look for files on your local drive.
Please post the exact failing scenario.
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you are right this is the local path and i was assuming it to be HDFS.
Thank you
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