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        "author": "Hannes Schmidt",
        "author_email": "hannes@ucsc.edu",
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        "description": "The CGCloud plugin for Spark lets you setup a fully configured Apache\nSpark cluster in EC2 in just minutes, regardless of the number of nodes. While\nApache Spark already comes with a script called ``spark-ec2`` that lets you\nbuild a cluster in EC2, CGCloud Spark differs from ``spark-ec2`` in the\nfollowing ways:\n\n* Tachyon or Yarn are not included\n\n* Setup time does not scale linearly with the number of nodes. Setting up a 100\n  node cluster takes just as long as setting up a 10 node cluster (2-3 min, as\n  opposed to 45min with ``spark-ec2``). This is made possible by baking all\n  required software into a single AMI. All slave nodes boot up concurrently and\n  join the cluster autonomously in just a few minutes.\n  \n* Unlike with ``spark-ec2``, the cluster can be stopped and started via the EC2\n  API or the EC2 console, without involvement of cgcloud.\n\n* The Spark services (master and worker) run as an unprivileged user, not root\n  as with spark-ec2. Ditto for the HDFS services (namenode, datanode and\n  secondarynamenode).\n\n* The Spark and Hadoop services are started automatically as the instance boots\n  up, via a regular init script.\n\n* Nodes can be added easily, simply by booting up new instances from the AMI.\n  They will join the cluster automatically. HDFS may have to be rebalanced\n  after that.\n\n* You can customize the AMI that cluster nodes boot from by subclassing the\n  SparkMaster and SparkSlave classes.\n\n* CGCloud Spark uses the CGCLoud Agent which takes care of maintaining a list\n  of authorized keypairs on each node.\n\n* CGCloud Spark is based on the official Ubuntu Trusty 14.04 LTS, not the\n  Amazon Linux AMI.\n\n\nPrerequisites\n=============\n\nThe ``cgcloud-spark`` package requires that the ``cgcloud-core`` package and\nits prerequisites_ are present.\n\n.. _prerequisites: ../core#prerequisites\n\n\nInstallation\n============\n\nRead the entire section before pasting any commands and ensure that all\nprerequisites are installed. It is recommended to install this plugin into the \nvirtualenv you created for CGCloud::\n\n   source ~/cgcloud/bin/activate\n   pip install cgcloud-spark\n\nIf you get ``DistributionNotFound: No distributions matching the version for\ncgcloud-spark``, try running ``pip install --pre cgcloud-spark``.\n\nBe sure to configure_ ``cgcloud-core`` before proceeding.\n\n.. _configure: ../core/README.rst#configuration\n\nConfiguration\n=============\n\nModify your ``.profile`` or ``.bash_profile`` by adding the following line::\n\n   export CGCLOUD_PLUGINS=\"cgcloud.spark:$CGCLOUD_PLUGINS\"\n\nLogin and out (or, on OS X, start a new Terminal tab/window).\n\nVerify the installation by running::\n\n   cgcloud list-roles\n\nThe output should include the ``spark-box`` role.\n\nUsage\n=====\n\nCreate a single ``t2.micro`` box to serve as the template for the cluster\nnodes::\n\n   cgcloud create -IT spark-box\n\nThe ``I`` option stops the box once it is fully set up and takes an image (AMI)\nof it. The ``T`` option terminates the box after that.\n\nNow create a cluster by booting a master and the slaves from that AMI::\n\n   cgcloud create-cluster spark -s 2 -t m3.large\n   \nThis will launch a master and two slaves using the ``m3.large`` instance type.\n\nSSH into the master::\n\n   cgcloud ssh spark-master\n   \n... or the first slave::\n\n   cgcloud ssh -o 0 spark-slave\n   \n... or the second slave::\n\n   cgcloud ssh -o 1 spark-slave\n\n",
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        "name": "cgcloud-spark",
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