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published/404.html

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published/aggregation/1/index.html

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Dgraph 1.1.0
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value="1.1.0"
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<p>Ok, we are off to a start with Dgraph and GraphQL+-. Let’s move it up
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a few notches.</p>
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<p>Dgraph can also do query aggregation, geo-queries, string querying and more. But for all that let&rsquo;s move from the small datasets we started with and try out something bigger, much bigger.</p>
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<p>In our github repository you&rsquo;ll find a <a href="https://github.com/dgraph-io/benchmarks/blob/master/data/goldendata.rdf.gz">dataset about movies, directors
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and actors</a>.</p>
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<p>Download it from that link or with something like</p>
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<pre><code>wget &quot;https://github.com/dgraph-io/benchmarks/blob/master/data/goldendata.rdf.gz?raw=true&quot; -O goldendata.rdf.gz -q
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</code></pre>
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<p>Run the schema mutation and then load the dataset into Dgraph with</p>
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</code></pre><p>Run the schema mutation and then load the dataset into Dgraph with</p>
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<pre><code>dgraph-live-loader -f goldendata.rdf.gz
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<p>Dgraph reports back exactly how many triples were loaded and how long
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</code></pre><p>Dgraph reports back exactly how many triples were loaded and how long
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it took. There are around ??? movies and ???
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actors are described in the dataset.</p>
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<p>It&rsquo;s a big database of moves, but it won’t trouble Dgraph. It is, however, big enough to
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use for more complex queries.</p>
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<p>Later in the tutorial, you might need to refer back to this page (or
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issue a <a href="/basic/3">schema query</a>) to check the indexes or schema types. Remember that
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we can&rsquo;t apply functions to edges that aren&rsquo;t indexed, and some
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published/aggregation/2/index.html

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<p>The <code>min</code> and <code>max</code> aggreation functions can be used on all scalar
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types. That is: <code>int</code>, <code>float</code>, <code>string</code>, <code>bool</code>, <code>id</code> and <code>date</code>.</p>
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published/aggregation/index.html

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published/aggregation/index.xml

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