[[modules-scripting-fields]] === Accessing document fields and special variables Depending on where a script is used, it will have access to certain special variables and document fields. [float] == Update scripts A script used in the <>, <>, or <> API will have access to the `ctx` variable which exposes: [horizontal] `ctx._source`:: Access to the document <>. `ctx.op`:: The operation that should be applied to the document: `index` or `delete`. `ctx._index` etc:: Access to <>, some of which may be read-only. [float] == Search and Aggregation scripts With the exception of <> which are executed once per search hit, scripts used in search and aggregations will be executed once for every document which might match a query or an aggregation. Depending on how many documents you have, this could mean millions or billions of executions: these scripts need to be fast! Field values can be accessed from a script using <>, or <>, which are explained below. Scripts may also have access to the document's relevance <> and, via the experimental `_index` variable, to term statistics for <>. [[scripting-score]] [float] === Accessing the score of a document within a script Scripts used in the <>, in <>, or in <> have access to the `_score` variable which represents the current relevance score of a document. Here's an example of using a script in a <> to alter the relevance `_score` of each document: [source,js] ------------------------------------- PUT my_index/my_type/1 { "text": "quick brown fox", "popularity": 1 } PUT my_index/my_type/2 { "text": "quick fox", "popularity": 5 } GET my_index/_search { "query": { "function_score": { "query": { "match": { "text": "quick brown fox" } }, "script_score": { "script": { "lang": "expression", "inline": "_score * doc['popularity']" } } } } } ------------------------------------- // CONSOLE [float] [[modules-scripting-doc-vals]] === Doc Values By far the fastest most efficient way to access a field value from a script is to use the `doc['field_name']` syntax, which retrieves the field value from <>. Doc values are a columnar field value store, enabled by default on all fields except for <>. [source,js] ------------------------------- PUT my_index/my_type/1 { "cost_price": 100 } GET my_index/_search { "script_fields": { "sales_price": { "script": { "lang": "expression", "inline": "doc['cost_price'] * markup", "params": { "markup": 0.2 } } } } } ------------------------------- // CONSOLE Doc-values can only return "simple" field values like numbers, dates, geo- points, terms, etc, or arrays of these values if the field is multi-valued. It cannot return JSON objects. [NOTE] .Doc values and `text` fields =================================================== The `doc['field']` syntax can also be used for <> if <> is enabled, but *BEWARE*: enabling fielddata on a `text` field requires loading all of the terms into the JVM heap, which can be very expensive both in terms of memory and CPU. It seldom makes sense to access `text` fields from scripts. =================================================== [float] [[modules-scripting-stored]] === Stored Fields and `_source` _Stored fields_ -- fields explicitly marked as <> -- can be accessed using the `_fields['field_name'].value` or `_fields['field_name'].values` syntax. The document <>, which is really just a special stored field, can be accessed using the `_source.field_name` syntax. The `_source` is loaded as a map-of-maps, so properties within object fields can be accessed as, for example, `_source.name.first`. [IMPORTANT] .Prefer doc-values to stored fields ========================================================= Stored fields (which includes the stored `_source` field) are much slower than doc-values. They are optimised for returning several fields per result, while doc values are optimised for accessing the value of a specific field in many documents. It makes sense to use `_source` or stored fields when generating a <> for the top ten hits from a search result but, for other search and aggregation use cases, always prefer using doc values. ========================================================= For instance: [source,js] ------------------------------- PUT my_index { "mappings": { "my_type": { "properties": { "title": { <1> "type": "text" }, "first_name": { "type": "text", "store": true }, "last_name": { "type": "text", "store": true } } } } } PUT my_index/my_type/1 { "title": "Mr", "first_name": "Barry", "last_name": "White" } GET my_index/_search { "script_fields": { "source": { "script": { "lang": "groovy", "inline": "_source.title + ' ' + _source.first_name + ' ' + _source.last_name" <2> } }, "stored_fields": { "script": { "lang": "groovy", "inline": "_fields['first_name'].value + ' ' + _fields['last_name'].value" } } } } ------------------------------- // CONSOLE <1> The `title` field is not stored and so cannot be used with the `_fields[]` syntax. <2> The `title` field can still be accessed from the `_source`. [TIP] .Stored vs `_source` ======================================================= The `_source` field is just a special stored field, so the performance is similar to that of other stored fields. The `_source` provides access to the original document body that was indexed (including the ability to distinguish `null` values from empty fields, single-value arrays from plain scalars, etc). The only time it really makes sense to use stored fields instead of the `_source` field is when the `_source` is very large and it is less costly to access a few small stored fields instead of the entire `_source`. =======================================================