{% extends 'base.html' %} {% load i18n %} {% load url from future %} {% block title %}{% trans "Data Processing" %}{% endblock %} {% block main %}
  1. {% blocktrans %}First, select which type of job that you want to run. This choice will determine which other steps are required {% endblocktrans %}
    {% trans "Select type" %}
    {% trans "Current type:" %} {% if request.session.guide_job_type %} {{ request.session.guide_job_type}} {% else %} {% trans "No type chosen" %} {% endif %}

  2. {% if request.session.guide_job_type %} {% if view.show_data_sources %}
  3. {% blocktrans %}Data Sources are what your job uses for input and output. Depending on the type of job you will be running, you may need to define one or more data sources. You can create multiple data sources by repeating this step. {% endblocktrans %}
    {% trans "Create a data source" %}

  4. {% endif %}
  5. {% blocktrans %}Define your Job Template. This is where you choose the type of job that you want to run (Pig, Java Action, Spark, etc) and choose or upload the files necessary to run it. The inputs and outputs will be defined later. {% endblocktrans %}
    {% trans "Create a job template" %}
    {% trans "Job template:" %} {% if request.session.guide_job_name %} {{ request.session.guide_job_name }} {% else %} {% trans "No job template created" %} {% endif %}

  6. {% blocktrans %}Launch your job. When launching, you may need to choose your input and output data sources. This is where you would also add any special configuration values, parameters, or arguments that you need to pass along to your job. {% endblocktrans %}
    {% trans "Launch job" %}
  7. {% endif %}
{% trans "Reset Job Execution Guide" %}
{% endblock %}