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[EDIT] Expanding on the reasons for reading "Life inside a Cluster"
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020_Distributed_Cluster.asciidoc

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.Supplemental Chapter
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****
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As mentioned earlier, this is the first of several "supplemental" chapters about
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how Elasticsearch operates in a distributed environment. It is useful and
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interesting data, but feel free to skip it. You can use Elasticsearch for
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a long time without worrying about shards, replication and fallover.
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As mentioned earlier, this is the first of several ``supplemental'' chapters
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about how Elasticsearch operates in a distributed environment. In this
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chapter we explain commonly used terminology like _cluster_, _node_ and
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_shard_, the mechanics of how Elasticsearch scales out, and how it deals with
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hardware failure.
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Although this chapter is not required reading -- you can use Elasticsearch for
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a long time without worrying about shards, replication and fallover -- it will
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help you to understand the processes at work inside Elasticsearch. Feel free
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to skim through the chapter and to refer to it again later.
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****
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include::020_Distributed_Cluster/00_Intro.asciidoc[]

020_Distributed_Cluster/00_Intro.asciidoc

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With most databases, scaling horizontally usually requires a major overhaul of
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your application to take advantage of these extra boxes. In contrast,
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Elasticsearch is _distributed_ by nature. It knows how to manage multiple
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Elasticsearch is _distributed_ by nature: it knows how to manage multiple
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nodes to provide scale and high availability. This also means that your
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application doesn't need to care about it.
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In this chapter we are going to look at how a cluster uses nodes and shards to
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scale with your needs and to ensure that your data is safe from hardware
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failure.
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In this chapter we are going to look at how you can setup your _cluster_,
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_nodes_ and _shards_ to scale with your needs and to ensure that your data is
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safe from hardware failure.

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