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2ea2d5f14d
Signed-off-by: Michael Vincerra <michael.vincerra@intel.com>
103 lines
3.6 KiB
ReStructuredText
103 lines
3.6 KiB
ReStructuredText
.. _dars:
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Data Analytics Reference Stack
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##############################
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This tutorial shows you how to use the Data Analytics Reference Stack
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(DARS), and to optionally build your own images with the baseline Dockerfiles
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provided in the `DARS repository`_. Our assumption is that |CL-ATTR| is the
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host. However, any system that supports Docker\* containers can be used to
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follow these steps.
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.. contents::
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:local:
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:depth: 1
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The Data Analytics Reference Stack release
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******************************************
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The Data Analytics Reference Stack provides two pre-built Docker images, available on `Docker Hub`_:
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* A |CL|-derived `DARS with OpenBlas`_ stack optimized for `OpenBLAS`_
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* A |CL|-derived `DARS with MKL`_ stack optimized for `MKL`_
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We recommend you view the latest component versions for each image in the
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:file:`README` found in the `DARS repository`_. Because |CL| is a rolling
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distribution, the package version numbers in the |CL|-based containers may
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not be the latest released by |CL|.
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Using the Docker Images
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***********************
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To immediately start using the latest stable DARS images, pull directly
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from `Docker Hub`_. For this tutorial we'll use the `Dars with MKL`_ version of the stack.
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Once you have downloaded the image, you can run it with
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.. code-block:: bash
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docker run -it --ulimit nofile=1000000:1000000 --name mkl <name of image>
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This will launch the image and drop you into a bash shell inside the
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container. You will see output similar to the following:
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.. code-block:: console
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root@fd5155b89857 /root # spark-shell
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spark-shell
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Config directory: /usr/share/defaults/spark/
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Welcome to
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____ __
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/ __/__ ___ _____/ /__
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_\ \/ _ \/ _ `/ __/ '_/
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/___/ .__/\_,_/_/ /_/\_\ version 2.4.0
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/_/
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Using Scala version 2.12.7 (OpenJDK 64-Bit Server VM, Java 1.8.0-internal)
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Type in expressions to have them evaluated.
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Type :help for more information.
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scala>
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The :command:`--ulimit nofile` parameter is currently required in order to
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increase the number of open files opened at certain point by the spark
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engine.
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Building DARS Images
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********************
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If you choose to build your own DARS container images, you can customize
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them as needed. Use the provided Dockerfile as a baseline. To construct
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images with |CL|, start with a |CL| development platform that
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has the :command:`containers-basic-dev` bundle installed. Learn more about
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bundles and installing them by using :ref:`swupd-guide`.
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First, clone the `DARS repository`_ from GitHub.
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.. code-block:: bash
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git clone https://github.com/clearlinux/dockerfiles/tree/master/stacks/dars -b master
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Then, inside the DARS directory, run :command:`make` to build OpenBLAS and
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MKL images, and run :command:`make baseline` to build the baseline CentOS
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image. Depending on the system, it may take a while to finish building.
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Once completed, check the resulting images with :command:`Docker`
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.. code-block:: bash
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docker images | grep dars
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You can use any of the resulting images to launch fully functional
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containers. If you need to customize the containers, you can edit the
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provided :file:`Dockerfile`.
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.. _DARS repository: https://github.com/clearlinux/dockerfiles/tree/master/stacks/dars
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.. _Docker Hub: https://hub.docker.com/
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.. _OpenBLAS: http://www.openblas.net/
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.. _MKL: https://software.intel.com/en-us/mkl
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.. _CentOS: https://www.centos.org/
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.. _DARS with OpenBLAS: https://hub.docker.com/r/clearlinux/stacks-dars-openblas/
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.. _DARS with MKL: https://hub.docker.com/r/clearlinux/stacks-dars-mkl/
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.. _DARS on CentOS: https://hub.docker.com/r/clearlinux.......
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