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 Master branch in spark has outdated ec2 script.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. >> >> >>
