Hi Marco, >From AMI name shared, it seems to be HVM image. 'm1' instance family does not support HVM (only PV is supported). Either you can use PV equivalent of this image or you can use 'm3' family (easiest transition from m1 to m3, if possible).
Details: http://docs.aws.amazon.com/AWSEC2/latest/UserGuide/virtualization_types.html Thanks Mayank On Mon, Jul 25, 2016 at 7:37 AM, Marco Mistroni <mmistr...@gmail.com> wrote: > HI all > i was wondering if anyone can help with this > I Have created a spark cluster before using spark_ec2.py script from Spark > 1.6.1 > that by default uses a very old AMI... so i decided to try to launch the > script with a more up to date > AMI. > the one i have used is ami-d732f0b7, which refers to Ubuntu Server 14.04 > LTS (HVM), SSD Volume Type > > > > I have lauched the script as follows > > ./spark-ec2 --key-pair=ec2AccessKey --identity-file ec2AccessKey.pem > --region=us-west-2 --ami ami-d732f0b7 launch my-spark-cluster > > but i am gettign this exception: > > Non-Windows instances with a virtualization type of 'hvm' are currently > not supported for this instance type. > > which seems a bizarre exception to me as , in spark_ec2.py , instance > m1.large (the one used to create spark master and nodes) is associated with > vritualization=pvm > > "m1.large": "pvm" > > > has anyone found similar issue? any suggestion on how can i use a custom > AMI when creating a spark cluster? > > kind regards > marco > > >
