EMR is currently running a private preview of an upcoming feature allowing EMR clusters to be launched in VPC private subnets. This will allow you to launch a cluster in a subnet without an Internet Gateway attached. Please contact jonfr...@amazon.com if you would like more information.
~ Jonathan Note: jonfr...@amazon.com is not me. I'm a different Jonathan. :) On Wed, Dec 2, 2015 at 10:21 AM, Jerry Lam <chiling...@gmail.com> wrote: > Hi Dana, > > Yes, we get VPC + EMR working but I'm not the person who deploys it. It is > related to subnet as Alex points out. > > Just to want to add another point, spark-ec2 is nice to keep and improve > because it allows users to any version of spark (nightly-build for > example). EMR does not allow you to do that without manual process. > > Best Regards, > > Jerry > > On Wed, Dec 2, 2015 at 1:02 PM, Alexander Pivovarov <apivova...@gmail.com> > wrote: > >> Do you think it's a security issue if EMR started in VPC with a subnet >> having Auto-assign Public IP: Yes >> >> you can remove all Inbound rules having 0.0.0.0/0 Source in master and >> slave Security Group >> So, master and slave boxes will be accessible only for users who are on >> VPN >> >> >> >> >> On Wed, Dec 2, 2015 at 9:44 AM, Dana Powers <dana.pow...@gmail.com> >> wrote: >> >>> EMR was a pain to configure on a private VPC last I tried. Has anyone >>> had success with that? I found spark-ec2 easier to use w private >>> networking, but also agree that I would use for prod. >>> >>> -Dana >>> On Dec 1, 2015 12:29 PM, "Alexander Pivovarov" <apivova...@gmail.com> >>> wrote: >>> >>>> 1. Emr 4.2.0 has Zeppelin as an alternative to DataBricks Notebooks >>>> >>>> 2. Emr has Ganglia 3.6.0 >>>> >>>> 3. Emr has hadoop fs settings to make s3 work fast >>>> (direct.EmrFileSystem) >>>> >>>> 4. EMR has s3 keys in hadoop configs >>>> >>>> 5. EMR allows to resize cluster on fly. >>>> >>>> 6. EMR has aws sdk in spark classpath. Helps to reduce app assembly jar >>>> size >>>> >>>> 7. ec2 script installs all in /root, EMR has dedicated users: hadoop, >>>> zeppelin, etc. EMR is similar to Cloudera or Hortonworks >>>> >>>> 8. There are at least 3 spark-ec2 projects. (in apache/spark, in mesos, >>>> in amplab). Master branch in spark has outdated ec2 script. Other projects >>>> have broken links in readme. WHAT A MESS! >>>> >>>> 9. ec2 script has bad documentation and non informative error messages. >>>> e.g. readme does not say anything about --private-ips option. If you did >>>> not add the flag it will connect to empty string host (localhost) instead >>>> of master. Fixed only last week. Not sure if fixed in all branches >>>> >>>> 10. I think Amazon will include spark-jobserver to EMR soon. >>>> >>>> 11. You do not need to be aws expert to start EMR cluster. Users can >>>> use EMR web ui to start cluster to run some jobs or work in Zeppelun during >>>> the day >>>> >>>> 12. EMR cluster starts in abour 8 min. Ec2 script works longer and you >>>> need to be online. >>>> On Dec 1, 2015 9:22 AM, "Jerry Lam" <chiling...@gmail.com> wrote: >>>> >>>>> Simply put: >>>>> >>>>> EMR = Hadoop Ecosystem (Yarn, HDFS, etc) + Spark + EMRFS + Amazon EMR >>>>> API + Selected Instance Types + Amazon EC2 Friendly (bootstrapping) >>>>> spark-ec2 = HDFS + Yarn (Optional) + Spark (Standalone Default) + Any >>>>> Instance Type >>>>> >>>>> I use spark-ec2 for prototyping and I have never use it for production. >>>>> >>>>> just my $0.02 >>>>> >>>>> >>>>> >>>>> On Dec 1, 2015, at 11:15 AM, Nick Chammas <nicholas.cham...@gmail.com> >>>>> wrote: >>>>> >>>>> Pinging this thread in case anyone has thoughts on the matter they >>>>> want to share. >>>>> >>>>> On Sat, Nov 21, 2015 at 11:32 AM Nicholas Chammas <[hidden email]> >>>>> wrote: >>>>> >>>>>> Spark has come bundled with spark-ec2 >>>>>> <http://spark.apache.org/docs/latest/ec2-scripts.html> for many >>>>>> years. At the same time, EMR has been capable of running Spark for a >>>>>> while, >>>>>> and earlier this year it added "official" support >>>>>> <https://aws.amazon.com/blogs/aws/new-apache-spark-on-amazon-emr/>. >>>>>> >>>>>> If you're looking for a way to provision Spark clusters, there are >>>>>> some clear differences between these 2 options. I think the biggest one >>>>>> would be that EMR is a "production" solution backed by a company, whereas >>>>>> spark-ec2 is not really intended for production use (as far as I know). >>>>>> >>>>>> That particular difference in intended use may or may not matter to >>>>>> you, but I'm curious: >>>>>> >>>>>> What are some of the other differences between the 2 that do matter >>>>>> to you? If you were considering these 2 solutions for your use case at >>>>>> one >>>>>> point recently, why did you choose one over the other? >>>>>> >>>>>> I'd be especially interested in hearing about why people might choose >>>>>> spark-ec2 over EMR, since the latter option seems to have shaped up >>>>>> nicely >>>>>> this year. >>>>>> >>>>>> Nick >>>>>> >>>>>> >>>>> ------------------------------ >>>>> View this message in context: Re: spark-ec2 vs. EMR >>>>> <http://apache-spark-user-list.1001560.n3.nabble.com/Re-spark-ec2-vs-EMR-tp25538.html> >>>>> Sent from the Apache Spark User List mailing list archive >>>>> <http://apache-spark-user-list.1001560.n3.nabble.com/> at Nabble.com. >>>>> >>>>> >>>>> >> >