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[Docs] Improve tuning for speed advice #33315

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Sep 3, 2018
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[Docs] Improve tuning for speed advice #33315

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20 changes: 7 additions & 13 deletions docs/reference/how-to/search-speed.asciidoc
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Original file line number Diff line number Diff line change
Expand Up @@ -165,12 +165,15 @@ GET index/_search
// TEST[continued]

[float]
=== Mappings
=== Consider mapping identifiers as `keyword`

The fact that some data is numeric does not mean it should always be mapped as a
<<number,numeric field>>. Typically, fields storing identifiers such as an `ISBN`
or any number identifying a record from another database, might benefit from
being mapped as <<keyword,`keyword`>> rather than `integer` or `long`.
<<number,numeric field>>. The way that Elasticsearch indexes numbers optimizes
for `range` queries while `keyword` fields are better at `term` queries. Typically,
fields storing identifiers such as an `ISBN` or any number identifying a record
from another database are rarely used in `range` queries or aggregations. This is
why they might benefit from being mapped as <<keyword,`keyword`>> rather than as
`integer` or `long`.

[float]
=== Avoid scripts
Expand Down Expand Up @@ -349,15 +352,6 @@ WARNING: Loading data into the filesystem cache eagerly on too many indices or
too many files will make search _slower_ if the filesystem cache is not large
enough to hold all the data. Use with caution.

[float]
=== Map identifiers as `keyword`

When you have numeric identifiers in your documents, it is tempting to map them
as numbers, which is consistent with their json type. However, the way that
Elasticsearch indexes numbers optimizes for `range` queries while `keyword`
fields are better at `term` queries. Since identifiers are never used in `range`
queries, they should be mapped as a `keyword`.

[float]
=== Use index sorting to speed up conjunctions

Expand Down