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Elastic Docs ›Elasticsearch Guide [6.3] ›Modules ›Scripting

Lucene Expressions Language

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Lucene Expressions Language

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Lucene’s expressions compile a javascript expression to bytecode. They are designed for high-performance custom ranking and sorting functions and are enabled for inline and stored scripting by default.

Performance

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Expressions were designed to have competitive performance with custom Lucene code. This performance is due to having low per-document overhead as opposed to other scripting engines: expressions do more "up-front".

This allows for very fast execution, even faster than if you had written a native script.

Syntax

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Expressions support a subset of javascript syntax: a single expression.

See the expressions module documentation for details on what operators and functions are available.

Variables in expression scripts are available to access:

  • document fields, e.g. doc['myfield'].value
  • variables and methods that the field supports, e.g. doc['myfield'].empty
  • Parameters passed into the script, e.g. mymodifier
  • The current document’s score, _score (only available when used in a script_score)

You can use Expressions scripts for script_score, script_fields, sort scripts, and numeric aggregation scripts, simply set the lang parameter to expression.

Numeric field API

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Expression Description

doc['field_name'].value

The value of the field, as a double

doc['field_name'].empty

A boolean indicating if the field has no values within the doc.

doc['field_name'].length

The number of values in this document.

doc['field_name'].min()

The minimum value of the field in this document.

doc['field_name'].max()

The maximum value of the field in this document.

doc['field_name'].median()

The median value of the field in this document.

doc['field_name'].avg()

The average of the values in this document.

doc['field_name'].sum()

The sum of the values in this document.

When a document is missing the field completely, by default the value will be treated as 0. You can treat it as another value instead, e.g. doc['myfield'].empty ? 100 : doc['myfield'].value

When a document has multiple values for the field, by default the minimum value is returned. You can choose a different value instead, e.g. doc['myfield'].sum().

When a document is missing the field completely, by default the value will be treated as 0.

Boolean fields are exposed as numerics, with true mapped to 1 and false mapped to 0. For example: doc['on_sale'].value ? doc['price'].value * 0.5 : doc['price'].value

Date field API

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Date fields are treated as the number of milliseconds since January 1, 1970 and support the Numeric Fields API above, plus access to some date-specific fields:

Expression Description

doc['field_name'].date.centuryOfEra

Century (1-2920000)

doc['field_name'].date.dayOfMonth

Day (1-31), e.g. 1 for the first of the month.

doc['field_name'].date.dayOfWeek

Day of the week (1-7), e.g. 1 for Monday.

doc['field_name'].date.dayOfYear

Day of the year, e.g. 1 for January 1.

doc['field_name'].date.era

Era: 0 for BC, 1 for AD.

doc['field_name'].date.hourOfDay

Hour (0-23).

doc['field_name'].date.millisOfDay

Milliseconds within the day (0-86399999).

doc['field_name'].date.millisOfSecond

Milliseconds within the second (0-999).

doc['field_name'].date.minuteOfDay

Minute within the day (0-1439).

doc['field_name'].date.minuteOfHour

Minute within the hour (0-59).

doc['field_name'].date.monthOfYear

Month within the year (1-12), e.g. 1 for January.

doc['field_name'].date.secondOfDay

Second within the day (0-86399).

doc['field_name'].date.secondOfMinute

Second within the minute (0-59).

doc['field_name'].date.year

Year (-292000000 - 292000000).

doc['field_name'].date.yearOfCentury

Year within the century (1-100).

doc['field_name'].date.yearOfEra

Year within the era (1-292000000).

The following example shows the difference in years between the date fields date0 and date1:

doc['date1'].date.year - doc['date0'].date.year

geo_point field API

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Expression Description

doc['field_name'].empty

A boolean indicating if the field has no values within the doc.

doc['field_name'].lat

The latitude of the geo point.

doc['field_name'].lon

The longitude of the geo point.

The following example computes distance in kilometers from Washington, DC:

haversin(38.9072, 77.0369, doc['field_name'].lat, doc['field_name'].lon)

In this example the coordinates could have been passed as parameters to the script, e.g. based on geolocation of the user.

Limitations

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There are a few limitations relative to other script languages:

  • Only numeric, boolean, date, and geo_point fields may be accessed
  • Stored fields are not available
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