Thank you all very much for your responses
We are going to test these recommendations.
Adnan, in regards to the HDFS URI, this is actually the manner in which we
are accessing the file system already. It was simply removed from the post.
Thank you,
Asaf
On Thu, Apr 10, 2014 at 5:33 PM, Sha
Hi Asaf,
The user who run SparkContext is decided by the below code in SparkContext,
normally this user.name is the user who started JVM, you can start your
application with -Duser.name=xxx to specify a username you want, this specified
username will be the user to communicate with HDFS.
val
Then problem is not on spark side, you have three options, choose any one of
them:
1. Change permissions on /tmp/Iris folder from shell on NameNode with "hdfs
dfs -chmod" command.
2. Run your hadoop service with hdfs user.
3. Disable dfs.permissions in conf/hdfs-site.xml.
Regards,
Adnan
avito w
You need to use proper HDFS URI with saveAsTextFile.
For Example:
rdd.saveAsTextFile("hdfs://NameNode:Port/tmp/Iris/output.tmp")
Regards,
Adnan
Asaf Lahav wrote
> Hi,
>
> We are using Spark with data files on HDFS. The files are stored as files
> for predefined hadoop user ("hdfs").
>
> The
