=str #18378 Small typos in Streams docs
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@ -25,7 +25,7 @@ Here's the data model we'll be working with throughout the quickstart examples:
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Transforming and consuming simple streams
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-----------------------------------------
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The example application we will be looking at is a simple Twitter fed stream from which we'll want to extract certain information,
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The example application we will be looking at is a simple Twitter feed stream from which we'll want to extract certain information,
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like for example finding all twitter handles of users who tweet about ``#akka``.
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In order to prepare our environment by creating an :class:`ActorSystem` and :class:`ActorMaterializer`,
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@ -118,10 +118,10 @@ detail in :ref:`constructing-sources-sinks-flows-from-partial-graphs-java`. Flow
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.. includecode:: ../../../akka-samples/akka-docs-java-lambda/src/test/java/docs/stream/TwitterStreamQuickstartDocTest.java#flow-graph-broadcast
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As you can see, we use graph builder to mutably construct the graph using the ``addEdge`` method. Once we have the
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FlowGraph in the value ``g`` *it is immutable, thread-safe, and freely shareable*. A graph can be ``run()`` directly -
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assuming all ports (sinks/sources) within a flow have been connected properly. It is possible to construct :class:`PartialFlowGraph` s
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where this is not required but this will be covered in detail in :ref:`partial-flow-graph-java`.
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As you can see, we use graph builder ``b`` to construct the graph using ``UniformFanOutShape`` and ``Flow``s. Once we have the
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FlowGraph as result of ``closed()`` method *it is immutable, thread-safe, and freely shareable*. A graph can be ``run()`` directly -
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assuming all ports (sinks/sources) within a flow have been connected properly. It is possible also to construct several :class:`PartialFlowGraph`s and
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and then combine them into one fully connected graph. This will be covered in detail in :ref:`partial-flow-graph-java`.
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As all Akka Streams elements, :class:`Broadcast` will properly propagate back-pressure to its upstream element.
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