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@ -135,6 +135,6 @@ PUT my_index/_doc/1
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}
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--------------------------------------------------
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// CONSOLE
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<1> The `my_float` field is added as a <<number,`double`>> field.
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<1> The `my_float` field is added as a <<number,`float`>> field.
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<2> The `my_integer` field is added as a <<number,`long`>> field.
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@ -46,11 +46,22 @@ name as an existing template, it will replace the old version.
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[[match-mapping-type]]
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==== `match_mapping_type`
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The `match_mapping_type` matches on the datatype detected by
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<<dynamic-field-mapping,dynamic field mapping>>, in other words, the datatype
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that Elasticsearch thinks the field should have. Only the following datatypes
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can be automatically detected: `boolean`, `date`, `double`, `long`, `object`,
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`string`. It also accepts `*` to match all datatypes.
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The `match_mapping_type` is the datatype detected by the json parser. Since
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JSON doesn't allow to distinguish a `long` from an `integer` or a `double` from
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a `float`, it will always choose the wider datatype, ie. `long` for integers
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and `double` for floating-point numbers.
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The following datatypes may be automatically detected:
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- `boolean` when `true` or `false` are encountered.
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- `date` when <<date-detection,date detection>> is enabled and a string is
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found that matches any of the configured date formats.
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- `double` for numbers with a decimal part.
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- `long` for numbers without a decimal part.
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- `object` for objects, also called hashes.
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- `string` for character strings.
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`*` may also be used in order to match all datatypes.
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For example, if we wanted to map all integer fields as `integer` instead of
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`long`, and all `string` fields as both `text` and `keyword`, we
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