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