Getting Started Running Apache Spark on Apache Mesos
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This document provides an overview of Apache Mesos and how to run Apache Spark on a Mesos cluster. It describes Mesos as a distributed systems kernel that allows sharing compute resources across applications. It then gives step-by-step instructions for launching a Mesos cluster in AWS, configuring and running Spark jobs on the cluster, and where to find example Spark jobs and further Mesos resources.
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Getting Started Running Apache Spark on Apache Mesos
- 1. Getting Started Running Apache Spark on Apache Mesos, 2014-01-24 Paco Nathan liber118.com/pxn @pacoid
- 2. Spark on Mesos, 2014-01-24 • what is Apache Mesos? • launch a Mesos cluster in the cloud • configure and run Spark on Mesos • run jobs in Spark • further resources…
- 3. Datacenter Computing Google has been doing datacenter computing for years, to address the complexities of large-scale data workflows: • • leveraging the modern kernel: isolation in lieu of VMs • “most (>80%) jobs are batch jobs, but the majority of resources (55–80%) are allocated to service jobs” • • • mixed workloads, multi-tenancy among the top 10 Linux kernel OSS contributors: cgroups relatively high utilization rates JVM? not so much… ! take-aways: scheduling batch is not so difficult; scheduling services is hard+expensive
- 4. Google describes the business case… Taming Latency Variability Jeff Dean plus.google.com/u/0/+ResearchatGoogle/posts/C1dPhQhcDRv
- 5. “Return of the Borg” Return of the Borg: How Twitter Rebuilt Google’s Secret Weapon Cade Metz wired.com/wiredenterprise/2013/03/googleborg-twitter-mesos ! The Datacenter as a Computer: An Introduction to the Design of Warehouse-Scale Machines Luiz André Barroso, Urs Hölzle research.google.com/pubs/pub35290.html ! ! 2011 GAFS Omega John Wilkes, et al. youtu.be/0ZFMlO98Jkc
- 6. Google describes the technology… Omega: flexible, scalable schedulers for large compute clusters Malte Schwarzkopf, Andy Konwinski, Michael Abd-El-Malek, John Wilkes eurosys2013.tudos.org/wp-content/uploads/2013/paper/ Schwarzkopf.pdf
- 8. Mesos – open source datacenter computing a common substrate for cluster computing mesos.apache.org heterogenous assets in your datacenter or cloud made available as a homogenous set of resources • • • • • • • • top-level Apache project scalability to 10,000s of nodes obviates the need for virtual machines isolation (pluggable) for CPU, RAM, I/O, FS, etc. fault-tolerant leader election based on Zookeeper APIs in C++, Java, Python, Go web UI for inspecting cluster state available for Linux, OpenSolaris, Mac OSX
- 10. Mesos – architecture services batch Workloads Apps Scalding MPI Impala Hadoop Shark Spark MySQL Kafka JBoss Django Chronos Storm Rails Frameworks Marathon Kernel distributed file system distributed resources: CPU, RAM, I/O, FS, rack locality, etc. DFS Cluster
- 11. Mesos – architecture apps: HA services, web apps, batch jobs, scripts, etc. frameworks: Spark, Storm, MPI, Jenkins, etc. task schedulers: Chronos, etc. meta-frameworks: Aurora, Marathon APIs: C++, JVM, Py, Go Mesos, distrib kernel HDFS, distrib file system Linux: libcgroup, libprocess, libev, etc.
- 12. Mesos – dynamics scheduled apps HA services distrib frameworks Marathon distrib init.d Mesos distrib kernel Chronos distrib cron
- 13. Mesos – dynamics distributed framework Scheduler Executor Executor Executor Mesos Mesos slave slave Mesos Mesos slave slave Mesos Mesos slave slave resource offers Mesos Mesos master master available resources distributed kernel
- 15. Case Study: Twitter (bare metal / on premise) “Mesos is the cornerstone of our elastic compute infrastructure – it’s how we build all our new services and is critical for Twitter’s continued success at scale. It's one of the primary keys to our data center efficiency." Chris Fry, SVP Engineering ! blog.twitter.com/2013/mesos-graduates-from-apache-incubation wired.com/gadgetlab/2013/11/qa-with-chris-fry/ • • • key services run in production: analytics, typeahead, ads • allows services to scale and leverage a shared pool of servers across datacenters efficiently • reduces the time between prototyping and launching Twitter engineers rely on Mesos to build all new services instead of thinking about static machines, engineers think about resources like CPU, memory and disk
- 16. Spark on Mesos, 2014-01-24 • what is Apache Mesos? • launch a Mesos cluster in the cloud • configure and run Spark on Mesos • run jobs in Spark • further resources…
- 17. http://elastic.mesosphere.io launch a Mesos cluster in the Amazon AWS cloud in three simple steps, given: • • • AWS credentials SSH public key email address
- 23. Spark on Mesos, 2014-01-24 • what is Apache Mesos? • launch a Mesos cluster in the cloud • configure and run Spark on Mesos • run jobs in Spark • further resources…
- 24. http://mesosphere.io/learn/run-spark-on-mesos/ configure and run Spark on a Mesos cluster on AWS, in a seven-step tutorial…
- 28. step 1: ssh to master
- 29. ssh -l ubuntu <master>
- 30. step 2: install git, jdk-7
- 31. sudo aptitude -y install git! sudo aptitude -y install openjdk-7-jdk
- 32. step 3: download spark
- 33. wget http://spark-project.org/download/spark-0.8.0-incubating-bin-cdh4.tgz! tar xzf spark-0.8.0-incubating-bin-cdh4.tgz! cd spark-0.8.0-incubating-bin-cdh4/
- 34. step 4: sbt clean assembly
- 36. step 5: make distro, cp to HDFS
- 37. ./make-distribution.sh --hadoop 2.0.0-mr1-cdh4.4.0! mv dist spark-0.8.0-2.0.0-mr1-cdh4.4.0! tar czf spark-0.8.0-2.0.0-mr1-cdh4.4.0.tgz spark-0.8.0-2.0.0-mr1-cdh4.4.0! ! hadoop fs -mkdir /tmp! hadoop fs -put spark-0.8.0-2.0.0-mr1-cdh4.4.0.tgz /tmp
- 38. step 6: config env
- 39. cd conf/! cp spark-env.sh.template spark-env.sh! vim spark-env.sh! ! export MESOS_NATIVE_LIBRARY=/usr/local/lib/libmesos.so! export SPARK_EXECUTOR_URI=hdfs://<nn>/tmp/spark-0.8.0-2.0.0-mr1-cdh4.4.0.tgz! export MASTER=zk://<master>:2181/mesos! ! cat spark-env.sh! cd ..! ! ./spark-shell
- 40. et voilà!
- 41. Spark on Mesos, 2014-01-24 • what is Apache Mesos? • launch a Mesos cluster in the cloud • configure and run Spark on Mesos • run jobs in Spark • further resources…
- 42. http://spark.incubator.apache.org/examples.html run an example job in Spark, to filter an RDD of integers, in two steps at the REPL…
- 43. step 1: create an RDD
- 44. val data = 1 to 10000! val distData = sc.parallelize(data)! ! distData.filter(_< 10).collect()
- 45. step 2: run the filter
- 51. Spark on Mesos, 2014-01-24 • what is Apache Mesos? • launch a Mesos cluster in the cloud • configure and run Spark on Mesos • run jobs in Spark • further resources…
- 52. Join us! ! O’Reilly Strata, Santa Clara Feb 11-13 strataconf.com/strata2014 Mesos tutorial, Tue 2/11 1:30pm BOF lunch, Wed 2/12 12:10pm Mesos session, Thu 2/13 2:20pm office hours, Thu 2/13 3:15pm
- 53. More insights… ! Monthly newsletter for events, conf summaries, workshops, etc.: liber118.com/pxn/ ! collected Mesos notes: goo.gl/jPtTP