You can definitely, easily, try a 1-node standalone cluster for free. Just don't be surprised when the CPU capping kicks in within about 5 minutes of any non-trivial computation and suddenly the instance is very s-l-o-w.
I would consider just paying the ~$0.07/hour to play with an m3.medium, which ought to be pretty OK for basic experimentation. On Tue, Feb 24, 2015 at 3:14 PM, Deep Pradhan <pradhandeep1...@gmail.com> wrote: > Thank You Sean. > I was just trying to experiment with the performance of Spark Applications > with various worker instances (I hope you remember that we discussed about > the worker instances). > I thought it would be a good one to try in EC2. So, it doesn't work out, > does it? > > Thank You > > On Tue, Feb 24, 2015 at 8:40 PM, Sean Owen <so...@cloudera.com> wrote: >> >> The free tier includes 750 hours of t2.micro instance time per month. >> http://aws.amazon.com/free/ >> >> That's basically a month of hours, so it's all free if you run one >> instance only at a time. If you run 4, you'll be able to run your >> cluster of 4 for about a week free. >> >> A t2.micro has 1GB of memory, which is small but something you could >> possible get work done with. >> >> However it provides only burst CPU. You can only use about 10% of 1 >> vCPU continuously due to capping. Imagine this as about 1/10th of 1 >> core on your laptop. It would be incredibly slow. >> >> This is not to mention the network and I/O bottleneck you're likely to >> run into as you don't get much provisioning with these free instances. >> >> So, no you really can't use this for anything that is at all CPU >> intensive. It's for, say, running a low-traffic web service. >> >> On Tue, Feb 24, 2015 at 2:55 PM, Deep Pradhan <pradhandeep1...@gmail.com> >> wrote: >> > Hi, >> > I have just signed up for Amazon AWS because I learnt that it provides >> > service for free for the first 12 months. >> > I want to run Spark on EC2 cluster. Will they charge me for this? >> > >> > Thank You > > --------------------------------------------------------------------- To unsubscribe, e-mail: user-unsubscr...@spark.apache.org For additional commands, e-mail: user-h...@spark.apache.org
