+doc, str #16716: Table summarizing built-in processing stages
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@ -16,6 +16,8 @@ This part also serves as supplementary material for the main body of documentati
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open while reading the manual and look for examples demonstrating various streaming concepts
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as they appear in the main body of documentation.
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If you need a quick reference of the available processing stages used in the recipes see :ref:`stages-overview`.
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Working with Flows
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==================
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@ -30,6 +30,7 @@ Processing Stage
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The common name for all building blocks that build up a Flow or FlowGraph.
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Examples of a processing stage would be operations like ``map()``, ``filter()``, stages added by ``transform()`` like
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:class:`PushStage`, :class:`PushPullStage`, :class:`StatefulStage` and graph junctions like ``Merge`` or ``Broadcast``.
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For the full list of built-in processing stages see :ref:`stages-overview`
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Defining and running streams
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----------------------------
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@ -24,7 +24,7 @@ Flow graphs are built from simple Flows which serve as the linear connections wi
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which serve as fan-in and fan-out points for Flows. Thanks to the junctions having meaningful types based on their behaviour
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and making them explicit elements these elements should be rather straightforward to use.
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Akka Streams currently provide these junctions:
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Akka Streams currently provide these junctions (for a detailed list see :ref:`stages-overview`):
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* **Fan-out**
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@ -18,5 +18,6 @@ Streams
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stream-io
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stream-parallelism
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stream-testkit
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../stages-overview
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stream-cookbook
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../stream-configuration
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@ -78,6 +78,8 @@ and for best results we recommend the following approach:
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point.
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* The bottom-up learners may feel more at home rummaging through the
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:ref:`stream-cookbook-scala`.
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* For a complete overview of the built-in processing stages you can look at the
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table in :ref:`stages-overview`
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* The other sections can be read sequentially or as needed during the previous
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steps, each digging deeper into specific topics.
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