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From maximebeauche...@apache.org
Subject [02/14] incubator-superset-site git commit: Initial commit - Superset docs as of 0.18.5
Date Tue, 27 Jun 2017 20:12:28 GMT
http://git-wip-us.apache.org/repos/asf/incubator-superset-site/blob/886f04b0/searchindex.js
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diff --git a/searchindex.js b/searchindex.js
new file mode 100644
index 0000000..befed68
--- /dev/null
+++ b/searchindex.js
@@ -0,0 +1 @@
+Search.setIndex({envversion:49,filenames:["druid","faq","gallery","index","installation","security","sqllab","tutorial","videos","visualization"],objects:{"superset.jinja_context":{PrestoTemplateProcessor:[6,0,1,""],url_param:[6,1,1,""]}},objnames:{"0":["py","class","Python class"],"1":["py","function","Python function"]},objtypes:{"0":"py:class","1":"py:function"},terms:{"1thisismyscretkei":4,"37k":7,"3aclose":1,"3aexampl":1,"\u00e1lava":9,"\u00e1vila":9,"a\u00eft":9,"abstract":1,"almer\u00eda":9,"amap\u00e1":9,"ard\u00e8che":9,"ari\u00e8g":9,"b\u00e9ni":9,"c\u00e1cere":9,"c\u00e1diz":9,"c\u00f3rdoba":9,"c\u00f4te":9,"case":[0,4,7],"castell\u00f3n":9,"cear\u00e1":9,"class":[4,6],"corr\u00e8z":9,"coru\u00f1a":9,"d\u00f4me":9,"default":[1,4,5,6,7,9],"dr\u00f4me":9,"esp\u00edrito":9,"export":1,"final":7,"finist\u00e8r":9,"function":[3,4],"goi\u00e1":9,"guip\u00fazcoa":9,"h\u00e9rault":9,"hoce\u00efma":9,"import":[1,4,9],"is\u00e8re":9,"ja\u00e9n":9,"k\u00e9nitra":9,"kela\u00e2":9,"kh\
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+
+
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+<li class="toctree-l1 current"><a class="current reference internal" href="#">Security</a><ul>
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+<li class="toctree-l3"><a class="reference internal" href="#public">Public</a></li>
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+</li>
+<li class="toctree-l2"><a class="reference internal" href="#managing-gamma-per-data-source-access">Managing Gamma per data source access</a></li>
+<li class="toctree-l2"><a class="reference internal" href="#customizing">Customizing</a><ul>
+<li class="toctree-l3"><a class="reference internal" href="#permissions">Permissions</a></li>
+<li class="toctree-l3"><a class="reference internal" href="#restricting-access-to-a-subset-of-data-sources">Restricting access to a subset of data sources</a></li>
+<li class="toctree-l3"><a class="reference internal" href="#restricting-the-access-to-some-metrics">Restricting the access to some metrics</a></li>
+</ul>
+</li>
+</ul>
+</li>
+<li class="toctree-l1"><a class="reference internal" href="sqllab.html">SQL Lab</a></li>
+<li class="toctree-l1"><a class="reference internal" href="visualization.html">Visualization Tools</a></li>
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+        <a href="index.html">Superset's documentation</a>
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+      
+    <li>Security</li>
+      <li class="wy-breadcrumbs-aside">
+        
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+          <div role="main" class="document" itemscope="itemscope" itemtype="http://schema.org/Article">
+           <div itemprop="articleBody">
+            
+  <div class="section" id="security">
+<h1>Security<a class="headerlink" href="#security" title="Permalink to this headline">¶</a></h1>
+<p>Security in Superset is handled by Flask AppBuilder (FAB). FAB is a
+&#8220;Simple and rapid application development framework, built on top of Flask.&#8221;.
+FAB provides authentication, user management, permissions and roles.</p>
+<div class="section" id="provided-roles">
+<h2>Provided Roles<a class="headerlink" href="#provided-roles" title="Permalink to this headline">¶</a></h2>
+<p>Superset ships with a set of roles that are handled by Superset itself.
+You can assume that these roles will stay up-to-date as Superset evolves.
+Even though it&#8217;s possible for <code class="docutils literal"><span class="pre">Admin</span></code> usrs to do so, it is not recommended
+that you alter these roles in any way by removing
+or adding permissions to them as these roles will be re-synchronized to
+their original values as you run your next <code class="docutils literal"><span class="pre">superset</span> <span class="pre">init</span></code> command.</p>
+<p>Since it&#8217;s not recommended to alter the roles described here, it&#8217;s right
+to assume that your security strategy should be to compose user access based
+on these base roles and roles that you create. For instance you could
+create a role <code class="docutils literal"><span class="pre">Financial</span> <span class="pre">Analyst</span></code> that would be made of set of permissions
+to a set of data sources (tables) and/or databases. Users would then be
+granted <code class="docutils literal"><span class="pre">Gamma</span></code>, <code class="docutils literal"><span class="pre">Financial</span> <span class="pre">Analyst</span></code>, and perhaps <code class="docutils literal"><span class="pre">sql_lab</span></code>.</p>
+<div class="section" id="admin">
+<h3>Admin<a class="headerlink" href="#admin" title="Permalink to this headline">¶</a></h3>
+<p>Admins have all possible rights, including granting or revoking rights from
+other users and altering other people&#8217;s slices and dashboards.</p>
+</div>
+<div class="section" id="alpha">
+<h3>Alpha<a class="headerlink" href="#alpha" title="Permalink to this headline">¶</a></h3>
+<p>Alpha have access to all data sources, but they cannot grant or revoke access
+from other users. They are also limited to altering the objects that they
+own. Alpha users can add and alter data sources.</p>
+</div>
+<div class="section" id="gamma">
+<h3>Gamma<a class="headerlink" href="#gamma" title="Permalink to this headline">¶</a></h3>
+<p>Gamma have limited access. They can only consume data coming from data sources
+they have been giving access to through another complementary role.
+They only have access to view the slices and
+dashboards made from data sources that they have access to. Currently Gamma
+users are not able to alter or add data sources. We assume that they are
+mostly content consumers, though they can create slices and dashboards.</p>
+<p>Also note that when Gamma users look at the dashboards and slices list view,
+they will only see the objects that they have access to.</p>
+</div>
+<div class="section" id="sql-lab">
+<h3>sql_lab<a class="headerlink" href="#sql-lab" title="Permalink to this headline">¶</a></h3>
+<p>The <code class="docutils literal"><span class="pre">sql_lab</span></code> role grants access to SQL Lab. Note that while <code class="docutils literal"><span class="pre">Admin</span></code>
+users have access to all databases by default, both <code class="docutils literal"><span class="pre">Alpha</span></code> and <code class="docutils literal"><span class="pre">Gamma</span></code>
+users need to be given access on a per database basis.</p>
+</div>
+<div class="section" id="public">
+<h3>Public<a class="headerlink" href="#public" title="Permalink to this headline">¶</a></h3>
+<p>It&#8217;s possible to allow logged out users to access some Superset features.</p>
+<p>By setting <code class="docutils literal"><span class="pre">PUBLIC_ROLE_LIKE_GAMMA</span> <span class="pre">=</span> <span class="pre">True</span></code> in your <code class="docutils literal"><span class="pre">superset_config.py</span></code>,
+you grant public role the same set of permissions as for the GAMMA role.
+This is useful if one wants to enable anonymous users to view
+dashboards. Explicit grant on specific datasets is still required, meaning
+that you need to edit the <code class="docutils literal"><span class="pre">Public</span></code> role and add the Public data sources
+to the role manually.</p>
+</div>
+</div>
+<div class="section" id="managing-gamma-per-data-source-access">
+<h2>Managing Gamma per data source access<a class="headerlink" href="#managing-gamma-per-data-source-access" title="Permalink to this headline">¶</a></h2>
+<p>Here&#8217;s how to provide users access to only specific datasets. First make
+sure the users with limited access have [only] the Gamma role assigned to
+them. Second, create a new role (<code class="docutils literal"><span class="pre">Menu</span> <span class="pre">-&gt;</span> <span class="pre">Security</span> <span class="pre">-&gt;</span> <span class="pre">List</span> <span class="pre">Roles</span></code>) and
+click the <code class="docutils literal"><span class="pre">+</span></code> sign.</p>
+<a class="reference internal image-reference" href="_images/create_role.png"><img alt="_images/create_role.png" src="_images/create_role.png" style="width: 591.5px; height: 309.5px;" /></a>
+<p>This new window allows you to give this new role a name, attribute it to users
+and select the tables in the <code class="docutils literal"><span class="pre">Permissions</span></code> dropdown. To select the data
+sources you want to associate with this role, simply click in the dropdown
+and use the typeahead to search for your table names.</p>
+<p>You can then confirm with your Gamma users that they see the objects
+(dashboards and slices) associated with the tables related to their roles.</p>
+</div>
+<div class="section" id="customizing">
+<h2>Customizing<a class="headerlink" href="#customizing" title="Permalink to this headline">¶</a></h2>
+<p>The permissions exposed by FAB are very granular and allow for a great level
+of customization. FAB creates many permissions automagically for each model
+that is create (can_add, can_delete, can_show, can_edit, ...) as well as for
+each view. On top of that, Superset can expose more granular permissions like
+<code class="docutils literal"><span class="pre">all_datasource_access</span></code>.</p>
+<p>We do not recommend altering the 3 base roles as there
+are a set of assumptions that Superset build upon. It is possible though for
+you to create your own roles, and union them to existing ones.</p>
+<div class="section" id="permissions">
+<h3>Permissions<a class="headerlink" href="#permissions" title="Permalink to this headline">¶</a></h3>
+<p>Roles are composed of a set of permissions, and Superset has many categories
+of permissions. Here are the different categories of permissions:</p>
+<ul class="simple">
+<li><strong>Model &amp; action</strong>: models are entities like <code class="docutils literal"><span class="pre">Dashboard</span></code>,
+<code class="docutils literal"><span class="pre">Slice</span></code>, or <code class="docutils literal"><span class="pre">User</span></code>. Each model has a fixed set of permissions, like
+<code class="docutils literal"><span class="pre">can_edit</span></code>, <code class="docutils literal"><span class="pre">can_show</span></code>, <code class="docutils literal"><span class="pre">can_delete</span></code>, <code class="docutils literal"><span class="pre">can_list</span></code>, <code class="docutils literal"><span class="pre">can_add</span></code>, and
+so on. By adding <code class="docutils literal"><span class="pre">can_delete</span> <span class="pre">on</span> <span class="pre">Dashboard</span></code> to a role, and granting that
+role to a user, this user will be able to delete dashboards.</li>
+<li><strong>Views</strong>: views are individual web pages, like the <code class="docutils literal"><span class="pre">explore</span></code> view or the
+<code class="docutils literal"><span class="pre">SQL</span> <span class="pre">Lab</span></code> view. When granted to a user, he/she will see that view in
+the its menu items, and be able to load that page.</li>
+<li><strong>Data source</strong>: For each data source, a permission is created. If the user
+does not have the <code class="docutils literal"><span class="pre">all_datasource_access</span></code> permission granted, the user
+will only be able to see Slices or explore the data sources that are granted
+to them</li>
+<li><strong>Database</strong>: Granting access to a database allows for the user to access
+all data sources within that database, and will enable the user to query
+that database in SQL Lab, provided that the SQL Lab specific permission
+have been granted to the user</li>
+</ul>
+</div>
+<div class="section" id="restricting-access-to-a-subset-of-data-sources">
+<h3>Restricting access to a subset of data sources<a class="headerlink" href="#restricting-access-to-a-subset-of-data-sources" title="Permalink to this headline">¶</a></h3>
+<p>The best way to go is probably to give user <code class="docutils literal"><span class="pre">Gamma</span></code> plus one or many other
+roles that would add access to specific data sources. We recommend that you
+create individual roles for each access profile. Say people in your finance
+department might have access to a set of databases and data sources, and
+these permissions can be consolidated in a single role. Users with this
+profile then need to be attributed <code class="docutils literal"><span class="pre">Gamma</span></code> as a foundation to the models
+and views they can access, and that <code class="docutils literal"><span class="pre">Finance</span></code> role that is a collection
+of permissions to data objects.</p>
+<p>One user can have many roles, so a finance executive could be granted
+<code class="docutils literal"><span class="pre">Gamma</span></code>, <code class="docutils literal"><span class="pre">Finance</span></code>, and perhaps another <code class="docutils literal"><span class="pre">Executive</span></code> role that gather
+a set of data sources that power dashboards only made available to executives.
+When looking at its dashboard list, this user will only see the
+list of dashboards it has access to, based on the roles and
+permissions that were attributed.</p>
+</div>
+<div class="section" id="restricting-the-access-to-some-metrics">
+<h3>Restricting the access to some metrics<a class="headerlink" href="#restricting-the-access-to-some-metrics" title="Permalink to this headline">¶</a></h3>
+<p>Sometimes some metrics are relatively sensitive (e.g. revenue).
+We may want to restrict those metrics to only a few roles.
+For example, assumed there is a metric <code class="docutils literal"><span class="pre">[cluster1].[datasource1].[revenue]</span></code>
+and only Admin users are allowed to see it. Here’s how to restrict the access.</p>
+<ol class="arabic simple">
+<li>Edit the datasource (<code class="docutils literal"><span class="pre">Menu</span> <span class="pre">-&gt;</span> <span class="pre">Source</span> <span class="pre">-&gt;</span> <span class="pre">Druid</span> <span class="pre">datasources</span> <span class="pre">-&gt;</span> <span class="pre">edit</span> <span class="pre">the</span>
+<span class="pre">record</span> <span class="pre">&quot;datasource1&quot;</span></code>) and go to the tab <code class="docutils literal"><span class="pre">List</span> <span class="pre">Druid</span> <span class="pre">Metric</span></code>. Check
+the checkbox <code class="docutils literal"><span class="pre">Is</span> <span class="pre">Restricted</span></code> in the row of the metric <code class="docutils literal"><span class="pre">revenue</span></code>.</li>
+<li>Edit the role (<code class="docutils literal"><span class="pre">Menu</span> <span class="pre">-&gt;</span> <span class="pre">Security</span> <span class="pre">-&gt;</span> <span class="pre">List</span> <span class="pre">Roles</span> <span class="pre">-&gt;</span> <span class="pre">edit</span> <span class="pre">the</span> <span class="pre">record</span>
+<span class="pre">“Admin”</span></code>), in the permissions field, type-and-search the permission
+<code class="docutils literal"><span class="pre">metric</span> <span class="pre">access</span> <span class="pre">on</span> <span class="pre">[cluster1].[datasource1].[revenue]</span> <span class="pre">(id:</span> <span class="pre">1)</span></code>, then
+click the Save button on the bottom of the page.</li>
+</ol>
+<p>Any users without the permission will see the error message
+<em>Access to the metrics denied: revenue (Status: 500)</em> in the slices.
+It also happens when the user wants to access a post-aggregation metric that
+is dependent on revenue.</p>
+</div>
+</div>
+</div>
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+<li class="toctree-l1"><a class="reference internal" href="security.html">Security</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="#templating-with-jinja">Templating with Jinja</a><ul>
+<li class="toctree-l3"><a class="reference internal" href="#available-macros">Available macros</a></li>
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+          <div role="main" class="document" itemscope="itemscope" itemtype="http://schema.org/Article">
+           <div itemprop="articleBody">
+            
+  <div class="section" id="sql-lab">
+<h1>SQL Lab<a class="headerlink" href="#sql-lab" title="Permalink to this headline">¶</a></h1>
+<p>SQL Lab is a modern, feature-rich SQL IDE written in
+<a class="reference external" href="https://facebook.github.io/react/">React</a>.</p>
+<div class="section" id="feature-overview">
+<h2>Feature Overview<a class="headerlink" href="#feature-overview" title="Permalink to this headline">¶</a></h2>
+<ul class="simple">
+<li>Connects to just about any database backend</li>
+<li>A multi-tab environment to work on multiple queries at a time</li>
+<li>A smooth flow to visualize your query results using Superset&#8217;s rich
+visualization capabilities</li>
+<li>Browse database metadata: tables, columns, indexes, partitions</li>
+<li>Support for long-running queries<ul>
+<li>uses the <a class="reference external" href="http://www.python.org/">Celery distributed queue</a>
+to dispatch query handling to workers</li>
+<li>supports defining a &#8220;results backend&#8221; to persist query results</li>
+</ul>
+</li>
+<li>A search engine to find queries executed in the past</li>
+<li>Supports templating using the
+<a class="reference external" href="http://jinja.pocoo.org/docs/dev/">Jinja templating language</a>
+which allows for using macros in your SQL code</li>
+</ul>
+</div>
+<div class="section" id="extra-features">
+<h2>Extra features<a class="headerlink" href="#extra-features" title="Permalink to this headline">¶</a></h2>
+<ul class="simple">
+<li>Hit <code class="docutils literal"><span class="pre">alt</span> <span class="pre">+</span> <span class="pre">enter</span></code> as a keyboard shortcut to run your query</li>
+</ul>
+</div>
+<div class="section" id="templating-with-jinja">
+<h2>Templating with Jinja<a class="headerlink" href="#templating-with-jinja" title="Permalink to this headline">¶</a></h2>
+<div class="highlight-sql"><div class="highlight"><pre><span></span><span class="k">SELECT</span> <span class="o">*</span>
+<span class="k">FROM</span> <span class="n">some_table</span>
+<span class="k">WHERE</span> <span class="n">partition_key</span> <span class="o">=</span> <span class="s1">&#39;{{ presto.latest_partition(&#39;</span><span class="n">some_table</span><span class="s1">&#39;) }}&#39;</span>
+</pre></div>
+</div>
+<p>Templating unleashes the power and capabilities of a
+programming language within your SQL code.</p>
+<p>Templates can also be used to write generic queries that are
+parameterized so they can be re-used easily.</p>
+<div class="section" id="available-macros">
+<h3>Available macros<a class="headerlink" href="#available-macros" title="Permalink to this headline">¶</a></h3>
+<p>We expose certain modules from Python&#8217;s standard library in
+Superset&#8217;s Jinja context:
+- <code class="docutils literal"><span class="pre">time</span></code>: <code class="docutils literal"><span class="pre">time</span></code>
+- <code class="docutils literal"><span class="pre">datetime</span></code>: <code class="docutils literal"><span class="pre">datetime.datetime</span></code>
+- <code class="docutils literal"><span class="pre">uuid</span></code>: <code class="docutils literal"><span class="pre">uuid</span></code>
+- <code class="docutils literal"><span class="pre">random</span></code>: <code class="docutils literal"><span class="pre">random</span></code>
+- <code class="docutils literal"><span class="pre">relativedelta</span></code>: <code class="docutils literal"><span class="pre">dateutil.relativedelta.relativedelta</span></code>
+- more to come!</p>
+<p><a class="reference external" href="http://jinja.pocoo.org/docs/dev/templates/">Jinja&#8217;s builtin filters</a> can be also be applied where needed.</p>
+<dl class="class">
+<dt id="superset.jinja_context.PrestoTemplateProcessor">
+<em class="property">class </em><code class="descclassname">superset.jinja_context.</code><code class="descname">PrestoTemplateProcessor</code><span class="sig-paren">(</span><em>database=None</em>, <em>query=None</em>, <em>table=None</em>, <em>**kwargs</em><span class="sig-paren">)</span><a class="reference internal" href="_modules/superset/jinja_context.html#PrestoTemplateProcessor"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#superset.jinja_context.PrestoTemplateProcessor" title="Permalink to this definition">¶</a></dt>
+<dd><p>Presto Jinja context</p>
+<p>The methods described here are namespaced under <code class="docutils literal"><span class="pre">presto</span></code> in the
+jinja context as in <code class="docutils literal"><span class="pre">SELECT</span> <span class="pre">'{{</span> <span class="pre">presto.some_macro_call()</span> <span class="pre">}}'</span></code></p>
+</dd></dl>
+
+<dl class="function">
+<dt id="superset.jinja_context.url_param">
+<code class="descclassname">superset.jinja_context.</code><code class="descname">url_param</code><span class="sig-paren">(</span><em>param</em>, <em>default=None</em><span class="sig-paren">)</span><a class="reference internal" href="_modules/superset/jinja_context.html#url_param"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#superset.jinja_context.url_param" title="Permalink to this definition">¶</a></dt>
+<dd><p>Get a url paramater</p>
+<table class="docutils field-list" frame="void" rules="none">
+<col class="field-name" />
+<col class="field-body" />
+<tbody valign="top">
+<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><ul class="first last simple">
+<li><strong>param</strong> (<em>str</em>) &#8211; the url parameter to lookup</li>
+<li><strong>default</strong> (<em>str</em>) &#8211; the value to return in the absence of the parameter</li>
+</ul>
+</td>
+</tr>
+</tbody>
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+<li class="toctree-l2"><a class="reference internal" href="#adding-a-new-table">Adding a new table</a></li>
+<li class="toctree-l2"><a class="reference internal" href="#exploring-your-data">Exploring your data</a></li>
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+  <div class="section" id="tutorial-for-superset-administrators">
+<h1>Tutorial for Superset Administrators<a class="headerlink" href="#tutorial-for-superset-administrators" title="Permalink to this headline">¶</a></h1>
+<p>This tutorial targets a Superset administrator: someone configuring Superset
+for an organization on behalf of users. We&#8217;ll show you how to connect Superset
+to a new database and configure a table in that database for analysis. You&#8217;ll
+also explore the data you&#8217;ve exposed and add a visualization to a dashboard
+so that you get a feel for the end-to-end user experience.</p>
+<div class="section" id="connecting-to-a-new-database">
+<h2>Connecting to a new database<a class="headerlink" href="#connecting-to-a-new-database" title="Permalink to this headline">¶</a></h2>
+<p>We assume you already have a database configured and can connect to it from the
+instance on which you’re running Superset. If you’re just testing Superset and
+want to explore sample data, you can load some
+<a class="reference external" href="https://wiki.postgresql.org/wiki/Sample_Databases">sample PostgreSQL datasets</a>
+into a fresh DB, or configure the
+<a class="reference external" href="https://github.com/dylburger/noaa-ghcn-weather-data">example weather data</a>
+we use here.</p>
+<p>Under the <strong>Sources</strong> menu, select the <em>Databases</em> option:</p>
+<a class="reference internal image-reference" href="_images/tutorial_01_sources_database.png"><img alt="_images/tutorial_01_sources_database.png" src="_images/tutorial_01_sources_database.png" style="width: 316.4px; height: 187.6px;" /></a>
+<p>On the resulting page, click on the green plus sign, near the top left:</p>
+<a class="reference internal image-reference" href="_images/tutorial_02_add_database.png"><img alt="_images/tutorial_02_add_database.png" src="_images/tutorial_02_add_database.png" style="width: 369.6px; height: 232.4px;" /></a>
+<p>You can configure a number of advanced options on this page, but for
+this walkthrough, you’ll only need to do <strong>two things</strong>:</p>
+<ol class="arabic simple">
+<li>Name your database connection:</li>
+</ol>
+<a class="reference internal image-reference" href="_images/tutorial_03_database_name.png"><img alt="_images/tutorial_03_database_name.png" src="_images/tutorial_03_database_name.png" style="width: 554.4px; height: 98.0px;" /></a>
+<ol class="arabic simple" start="2">
+<li>Provide the SQLAlchemy Connection URI and test the connection:</li>
+</ol>
+<a class="reference internal image-reference" href="_images/tutorial_04_sqlalchemy_connection_string.png"><img alt="_images/tutorial_04_sqlalchemy_connection_string.png" src="_images/tutorial_04_sqlalchemy_connection_string.png" style="width: 1071.0px; height: 196.0px;" /></a>
+<p>This example shows the connection string for our test weather database.
+As noted in the text below the URI, you should refer to the SQLAlchemy
+documentation on
+<a class="reference external" href="http://docs.sqlalchemy.org/en/rel_1_0/core/engines.html#database-urls">creating new connection URIs</a>
+for your target database.</p>
+<p>Click the <strong>Test Connection</strong> button to confirm things work end to end.
+Once Superset can successfully connect and authenticate, you should see
+a popup like this:</p>
+<a class="reference internal image-reference" href="_images/tutorial_05_connection_popup.png"><img alt="_images/tutorial_05_connection_popup.png" src="_images/tutorial_05_connection_popup.png" style="width: 562.0px; height: 277.0px;" /></a>
+<p>Moreover, you should also see the list of tables Superset can read from
+the schema you’re connected to, at the bottom of the page:</p>
+<a class="reference internal image-reference" href="_images/tutorial_06_list_of_tables.png"><img alt="_images/tutorial_06_list_of_tables.png" src="_images/tutorial_06_list_of_tables.png" style="width: 963.2px; height: 127.4px;" /></a>
+<p>If the connection looks good, save the configuration by clicking the <strong>Save</strong>
+button at the bottom of the page:</p>
+<a class="reference internal image-reference" href="_images/tutorial_07_save_button.png"><img alt="_images/tutorial_07_save_button.png" src="_images/tutorial_07_save_button.png" style="width: 187.6px; height: 85.4px;" /></a>
+</div>
+<div class="section" id="adding-a-new-table">
+<h2>Adding a new table<a class="headerlink" href="#adding-a-new-table" title="Permalink to this headline">¶</a></h2>
+<p>Now that you’ve configured a database, you’ll need to add specific tables
+to Superset that you’d like to query.</p>
+<p>Under the <strong>Sources</strong> menu, select the <em>Tables</em> option:</p>
+<a class="reference internal image-reference" href="_images/tutorial_08_sources_tables.png"><img alt="_images/tutorial_08_sources_tables.png" src="_images/tutorial_08_sources_tables.png" style="width: 315.0px; height: 187.6px;" /></a>
+<p>On the resulting page, click on the green plus sign, near the top left:</p>
+<a class="reference internal image-reference" href="_images/tutorial_09_add_new_table.png"><img alt="_images/tutorial_09_add_new_table.png" src="_images/tutorial_09_add_new_table.png" style="width: 322.0px; height: 232.4px;" /></a>
+<p>You only need a few pieces of information to add a new table to Superset:</p>
+<ul class="simple">
+<li>The name of the table</li>
+</ul>
+<a class="reference internal image-reference" href="_images/tutorial_10_table_name.png"><img alt="_images/tutorial_10_table_name.png" src="_images/tutorial_10_table_name.png" style="width: 772.8px; height: 130.2px;" /></a>
+<ul class="simple">
+<li>The target database from the <strong>Database</strong> drop-down menu (i.e. the one
+you just added above)</li>
+</ul>
+<a class="reference internal image-reference" href="_images/tutorial_11_choose_db.png"><img alt="_images/tutorial_11_choose_db.png" src="_images/tutorial_11_choose_db.png" style="width: 387.8px; height: 229.6px;" /></a>
+<ul class="simple">
+<li>Optionally, the database schema. If the table exists in the “default” schema
+(e.g. the <em>public</em> schema in PostgreSQL or Redshift), you can leave the schema
+field blank.</li>
+</ul>
+<p>Click on the <strong>Save</strong> button to save the configuration:</p>
+<a class="reference internal image-reference" href="_images/tutorial_07_save_button.png"><img alt="_images/tutorial_07_save_button.png" src="_images/tutorial_07_save_button.png" style="width: 187.6px; height: 85.4px;" /></a>
+<p>When redirected back to the list of tables, you should see a message indicating
+that your table was created:</p>
+<a class="reference internal image-reference" href="_images/tutorial_12_table_creation_success_msg.png"><img alt="_images/tutorial_12_table_creation_success_msg.png" src="_images/tutorial_12_table_creation_success_msg.png" style="width: 1260.0px; height: 89.6px;" /></a>
+<p>This message also directs you to edit the table configuration. We’ll edit a limited
+portion of the configuration now - just to get you started - and leave the rest for
+a more advanced tutorial.</p>
+<p>Click on the edit button next to the table you’ve created:</p>
+<a class="reference internal image-reference" href="_images/tutorial_13_edit_table_config.png"><img alt="_images/tutorial_13_edit_table_config.png" src="_images/tutorial_13_edit_table_config.png" style="width: 509.6px; height: 180.6px;" /></a>
+<p>On the resulting page, click on the <strong>List Table Column</strong> tab. Here, you’ll define the
+way you can use specific columns of your table when exploring your data. We’ll run
+through these options to describe their purpose:</p>
+<ul class="simple">
+<li>If you want users to group metrics by a specific field, mark it as <strong>Groupable</strong>.</li>
+<li>If you need to filter on a specific field, mark it as <strong>Filterable</strong>.</li>
+<li>Is this field something you’d like to get the distinct count of? Check the <strong>Count
+Distinct</strong> box.</li>
+<li>Is this a metric you want to sum, or get basic summary statistics for? The <strong>Sum</strong>,
+<strong>Min</strong>, and <strong>Max</strong> columns will help.</li>
+<li>The <strong>is temporal</strong> field should be checked for any date or time fields. We’ll cover
+how this manifests itself in analyses in a moment.</li>
+</ul>
+<p>Here’s how we’ve configured fields for the weather data. Even for measures like the
+weather measurements (precipitation, snowfall, etc.), it’s ideal to group and filter
+by these values:</p>
+<img alt="_images/tutorial_14_field_config.png" src="_images/tutorial_14_field_config.png" />
+<p>As with the configurations above, click the <strong>Save</strong> button to save these settings.</p>
+</div>
+<div class="section" id="exploring-your-data">
+<h2>Exploring your data<a class="headerlink" href="#exploring-your-data" title="Permalink to this headline">¶</a></h2>
+<p>To start exploring your data, simply click on the table name you just created in
+the list of available tables:</p>
+<img alt="_images/tutorial_15_click_table_name.png" src="_images/tutorial_15_click_table_name.png" />
+<p>By default, you’ll be presented with a Table View:</p>
+<img alt="_images/tutorial_16_datasource_chart_type.png" src="_images/tutorial_16_datasource_chart_type.png" />
+<p>Let’s walk through a basic query to get the count of all records in our table.
+First, we’ll need to change the <strong>Since</strong> filter to capture the range of our data.
+You can use simple phrases to apply these filters, like &#8220;3 years ago&#8221;:</p>
+<img alt="_images/tutorial_17_choose_time_range.png" src="_images/tutorial_17_choose_time_range.png" />
+<p>The upper limit for time, the <strong>Until</strong> filter, defaults to &#8220;now&#8221;, which may or may
+not be what you want.</p>
+<p>Look for the Metrics section under the <strong>GROUP BY</strong> header, and start typing &#8220;Count&#8221;
+- you’ll see a list of metrics matching what you type:</p>
+<img alt="_images/tutorial_18_choose_metric.png" src="_images/tutorial_18_choose_metric.png" />
+<p>Select the <em>COUNT(*)</em> metric, then click the green <strong>Query</strong> button near the top
+of the explore:</p>
+<img alt="_images/tutorial_19_click_query.png" src="_images/tutorial_19_click_query.png" />
+<p>You’ll see your results in the table:</p>
+<img alt="_images/tutorial_20_count_star_result.png" src="_images/tutorial_20_count_star_result.png" />
+<p>Let’s group this by the <em>weather_description</em> field to get the count of records by
+the type of weather recorded by adding it to the <em>Group by</em> section:</p>
+<img alt="_images/tutorial_21_group_by.png" src="_images/tutorial_21_group_by.png" />
+<p>and run the query:</p>
+<img alt="_images/tutorial_22_group_by_result.png" src="_images/tutorial_22_group_by_result.png" />
+<p>Let’s find a more useful data point: the top 10 times and places that recorded the
+highest temperature in 2015.</p>
+<p>We replace <em>weather_description</em> with <em>latitude</em>, <em>longitude</em> and <em>measurement_date</em> in the
+<em>Group by</em> section:</p>
+<img alt="_images/tutorial_23_group_by_more_dimensions.png" src="_images/tutorial_23_group_by_more_dimensions.png" />
+<p>And replace <em>COUNT(*)</em> with <em>max__measurement_flag</em>:</p>
+<img alt="_images/tutorial_24_max_metric.png" src="_images/tutorial_24_max_metric.png" />
+<p>The <em>max__measurement_flag</em> metric was created when we checked the box under <strong>Max</strong> and
+next to the <em>measurement_flag</em> field, indicating that this field was numeric and that
+we wanted to find its maximum value when grouped by specific fields.</p>
+<p>In our case, <em>measurement_flag</em> is the value of the measurement taken, which clearly
+depends on the type of measurement (the researchers recorded different values for
+precipitation and temperature). Therefore, we must filter our query only on records
+where the <em>weather_description</em> is equal to &#8220;Maximum temperature&#8221;, which we do in
+the <strong>Filters</strong> section at the bottom of the explore:</p>
+<img alt="_images/tutorial_25_max_temp_filter.png" src="_images/tutorial_25_max_temp_filter.png" />
+<p>Finally, since we only care about the top 10 measurements, we limit our results to
+10 records using the <em>Row limit</em> option under the <strong>Options</strong> header:</p>
+<img alt="_images/tutorial_26_row_limit.png" src="_images/tutorial_26_row_limit.png" />
+<p>We click <strong>Query</strong> and get the following results:</p>
+<img alt="_images/tutorial_27_top_10_max_temps.png" src="_images/tutorial_27_top_10_max_temps.png" />
+<p>In this dataset, the maximum temperature is recorded in tenths of a degree Celsius.
+The top value of 1370, measured in the middle of Nevada, is equal to 137 C, or roughly
+278 degrees F. It’s unlikely this value was correctly recorded. We’ve already been able
+to investigate some outliers with Superset, but this just scratches the surface of what
+we can do.</p>
+<p>You may want to do a couple more things with this measure:</p>
+<ul class="simple">
+<li>The default formatting shows values like 1.37k, which may be difficult for some
+users to read. It’s likely you may want to see the full, comma-separated value.
+You can change the formatting of any measure by editing its config (<em>Edit Table
+Config &gt; List Sql Metric &gt; Edit Metric &gt; D3Format</em>)</li>
+<li>Moreover, you may want to see the temperature measurements in plain degrees C,
+not tenths of a degree. Or you may want to convert the temperature to degrees
+Fahrenheit. You can change the SQL that gets executed agains the database, baking
+the logic into the measure itself (<em>Edit Table Config &gt; List Sql Metric &gt; Edit
+Metric &gt; SQL Expression</em>)</li>
+</ul>
+<p>For now, though, let’s create a better visualization of these data and add it to
+a dashboard.</p>
+<p>We change the Chart Type to &#8220;Distribution - Bar Chart&#8221;:</p>
+<img alt="_images/tutorial_28_bar_chart.png" src="_images/tutorial_28_bar_chart.png" />
+<p>Our filter on Maximum temperature measurements was retained, but the query and
+formatting options are dependent on the chart type, so you’ll have to set the
+values again:</p>
+<img alt="_images/tutorial_29_bar_chart_series_metrics.png" src="_images/tutorial_29_bar_chart_series_metrics.png" />
+<p>You should note the extensive formatting options for this chart: the ability to
+set axis labels, margins, ticks, etc. To make the data presentable to a broad
+audience, you’ll want to apply many of these to slices that end up in dashboards.
+For now, though, we run our query and get the following chart:</p>
+<a class="reference internal image-reference" href="_images/tutorial_30_bar_chart_results.png"><img alt="_images/tutorial_30_bar_chart_results.png" src="_images/tutorial_30_bar_chart_results.png" style="width: 956.9px; height: 435.4px;" /></a>
+</div>
+<div class="section" id="creating-a-slice-and-dashboard">
+<h2>Creating a slice and dashboard<a class="headerlink" href="#creating-a-slice-and-dashboard" title="Permalink to this headline">¶</a></h2>
+<p>This view might be interesting to researchers, so let’s save it. In Superset,
+a saved query is called a <strong>Slice</strong>.</p>
+<p>To create a slice, click the <strong>Save as</strong> button near the top-left of the
+explore:</p>
+<img alt="_images/tutorial_19_click_query.png" src="_images/tutorial_19_click_query.png" />
+<p>A popup should appear, asking you to name the slice, and optionally add it to a
+dashboard. Since we haven’t yet created any dashboards, we can create one and
+immediately add our slice to it. Let’s do it:</p>
+<a class="reference internal image-reference" href="_images/tutorial_31_save_slice_to_dashboard.png"><img alt="_images/tutorial_31_save_slice_to_dashboard.png" src="_images/tutorial_31_save_slice_to_dashboard.png" style="width: 432.6px; height: 268.8px;" /></a>
+<p>Click Save, which will direct you back to your original query. We see that
+our slice and dashboard were successfully created:</p>
+<a class="reference internal image-reference" href="_images/tutorial_32_save_slice_confirmation.png"><img alt="_images/tutorial_32_save_slice_confirmation.png" src="_images/tutorial_32_save_slice_confirmation.png" style="width: 611.8px; height: 105.7px;" /></a>
+<p>Let’s check out our new dashboard. We click on the <strong>Dashboards</strong> menu:</p>
+<img alt="_images/tutorial_33_dashboard.png" src="_images/tutorial_33_dashboard.png" />
+<p>and find the dashboard we just created:</p>
+<img alt="_images/tutorial_34_weather_dashboard.png" src="_images/tutorial_34_weather_dashboard.png" />
+<p>Things seemed to have worked - our slice is here!</p>
+<a class="reference internal image-reference" href="_images/tutorial_35_slice_on_dashboard.png"><img alt="_images/tutorial_35_slice_on_dashboard.png" src="_images/tutorial_35_slice_on_dashboard.png" style="width: 464.8px; height: 397.6px;" /></a>
+<p>But it’s a bit smaller than we might like. Luckily, you can adjust the size
+of slices in a dashboard by clicking, holding and dragging the bottom-right
+corner to your desired dimensions:</p>
+<a class="reference internal image-reference" href="_images/tutorial_36_adjust_dimensions.gif"><img alt="_images/tutorial_36_adjust_dimensions.gif" src="_images/tutorial_36_adjust_dimensions.gif" style="width: 576.0px; height: 297.6px;" /></a>
+<p>After adjusting the size, you’ll be asked to click on the icon near the
+top-right of the dashboard to save the new configuration.</p>
+<p>Congrats! You’ve successfully linked, analyzed, and visualized data in Superset.
+There are a wealth of other table configuration and visualization options, so
+please start exploring and creating slices and dashboards of your own.</p>
+</div>
+</div>
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