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@ -7,11 +7,11 @@ It enables you to manage graphs at scale, it will give a vast performance benefi
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On a single server this feature is pointless, hence it is only available in a cluster mode.
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In terms of querying there is no difference between smart and General Graphs.
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The former are a transparent replacement for the latter.
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So for querying the graph please refer to [AQL Graph Operations](../../AQL/Graphs/index.html) and [Graph Functions](GeneralGraphs/Functions.md) sections.
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So for querying the graph please refer to [AQL Graph Operations](../../AQL/Graphs/index.html) and [Graph Functions](../GeneralGraphs/Functions.md) sections.
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The optimizer is clever enough to identify if we are on a SmartGraph or not.
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The difference is only in the management section: creating and modifying the underlying collections of the graph.
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For a detailed API reference please refer to [SmartGraph Management](SmartGraphs/Management.md).
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For a detailed API reference please refer to [SmartGraph Management](../SmartGraphs/Management.md).
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!SUBSUBSECTION What makes a graph smart?
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@ -49,7 +49,7 @@ However the overall performance is never worse than the same query on a General
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!SUBSUBSECTION Getting started
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First of all SmartGraphs *cannot use existing collections*, when switching to SmartGraph from an existing data set you have to import the data into a fresh SmartGraph.
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This switch can be easily achieved with [arangodump](../Administration/Arangodump.md) and [arangorestore](../Administration/Arangorestore.md).
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This switch can be easily achieved with [arangodump](../../Administration/Arangodump.md) and [arangorestore](../../Administration/Arangorestore.md).
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The only thing you have to change in this pipeline is that you create the new collections with the SmartGraph before starting `arangorestore`.
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* Create a graph
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