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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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+
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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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+
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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[]
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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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