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Mathieu Martin
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Space. The final frontier.
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docs/conventions.asciidoc

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Elasticsearch can index text using:
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* *Text.* Text indexing allows for full text search, or searching arbitrary words that
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are part of the field.
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are part of the field.
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See {ref}/text.html[Text datatype] in the {es} Reference Guide.
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* *Keywords.* Keyword indexing offers faster exact match filtering and prefix search,
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and makes aggregations (for {kib} visualizations) possible.
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See the {es} Reference Guide for more information on
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See the {es} Reference Guide for more information on
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{ref}/query-dsl-term-query.html[exact match filtering],
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{ref}/query-dsl-prefix-query.html[prefix search], or
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{ref}/query-dsl-prefix-query.html[prefix search], or
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{ref}/search-aggregations.html[aggregations].
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[float]
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==== Default Elasticsearch convention
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Unless your index mapping or index template specifies otherwise
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(as the ECS index template does),
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Elasticsearch indexes text field as `text` at the canonical field name,

docs/guidelines.asciidoc

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* *Singular or plural.* Use singular and plural names properly to reflect the field content. For example, use `requests_per_sec` rather than `request_per_sec`.
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* *General to specific.* Organise the prefixes from general to specific to allow grouping fields into objects with a prefix like `host.*`.
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* *Avoid repetition.* Avoid stuttering of words. If part of the field name is already in the prefix, do not repeat it. Example: `host.host_ip` should be `host.ip`.
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* *Use prefixes.* Fields must be prefixed except for the base fields. For example, all `host` fields are prefixed with `host.`.
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* *Use prefixes.* Fields must be prefixed except for the base fields. For example, all `host` fields are prefixed with `host.`.
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See <<dot-notation>> for more details.
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The document structure should be nested JSON objects. If you use Beats or

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