[Docs]Corrected spelling errors. (#28976)

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Sue Gallagher 2018-03-19 10:22:40 -07:00 committed by GitHub
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4 changed files with 4 additions and 4 deletions

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@ -46,7 +46,7 @@ compared to `true`. In the case that the index is only changed once every
`index.refresh_interval` then it saves no work.
* `true` creates less efficient indexes constructs (tiny segments) that must
later be merged into more efficient index constructs (larger segments). Meaning
that the cost of `true` is payed at index time to create the tiny segment, at
that the cost of `true` is paid at index time to create the tiny segment, at
search time to search the tiny segment, and at merge time to make the larger
segments.
* Never start multiple `refresh=wait_for` requests in a row. Instead batch them

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@ -31,7 +31,7 @@ and <<search-request-highlighting,highlighting>> also become more expensive
since their cost directly depends on the size of the original document.
It is sometimes useful to reconsider what the unit of information should be.
For instance, the fact you want to make books searchable doesn't necesarily
For instance, the fact you want to make books searchable doesn't necessarily
mean that a document should consist of a whole book. It might be a better idea
to use chapters or even paragraphs as documents, and then have a property in
these documents that identifies which book they belong to. This does not only

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@ -65,7 +65,7 @@ documents and scores will be consistent.
Otherwise the recommended way to work around this issue is to use the
<<dfs-query-then-fetch,`dfs_query_then_fetch`>> search type. This will make
Elasticsearch perform an inital round trip to all involved shards, asking
Elasticsearch perform an initial round trip to all involved shards, asking
them for their index statistics relatively to the query, then the coordinating
node will merge those statistics and send the merged statistics alongside the
request when asking shards to perform the `query` phase, so that shards can

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@ -3,7 +3,7 @@
Removes matches which overlap with another span query or which are
within x tokens before (controlled by the parameter `pre`) or y tokens
after (controled by the parameter `post`) another SpanQuery. The span not
after (controlled by the parameter `post`) another SpanQuery. The span not
query maps to Lucene `SpanNotQuery`. Here is an example:
[source,js]