How to use scriptsedit

Wherever scripting is supported in the Elasticsearch API, the syntax follows the same pattern:

  "script": {
    "lang":   "...",  
    "source" | "id": "...", 
    "params": { ... } 
  }

The language the script is written in, which defaults to painless.

The script itself which may be specified as source for an inline script or id for a stored script.

Any named parameters that should be passed into the script.

For example, the following script is used in a search request to return a scripted field:

PUT my_index/my_type/1
{
  "my_field": 5
}

GET my_index/_search
{
  "script_fields": {
    "my_doubled_field": {
      "script": {
        "lang":   "expression",
        "source": "doc['my_field'] * multiplier",
        "params": {
          "multiplier": 2
        }
      }
    }
  }
}

Script Parametersedit

lang
Specifies the language the script is written in. Defaults to painless but may be set to any of languages listed in Scripting. The default language may be changed in the elasticsearch.yml config file by setting script.default_lang to the appropriate language.
source, id
Specifies the source of the script. An inline script is specified source as in the example above. A stored script is specified id and is retrieved from the cluster state (see Stored Scripts).
params
Specifies any named parameters that are passed into the script as variables.
Important

Prefer parameters

The first time Elasticsearch sees a new script, it compiles it and stores the compiled version in a cache. Compilation can be a heavy process.

If you need to pass variables into the script, you should pass them in as named params instead of hard-coding values into the script itself. For example, if you want to be able to multiply a field value by different multipliers, don’t hard-code the multiplier into the script:

  "source": "doc['my_field'] * 2"

Instead, pass it in as a named parameter:

  "source": "doc['my_field'] * multiplier",
  "params": {
    "multiplier": 2
  }

The first version has to be recompiled every time the multiplier changes. The second version is only compiled once.

If you compile too many unique scripts within a small amount of time, Elasticsearch will reject the new dynamic scripts with a circuit_breaking_exception error. By default, up to 15 inline scripts per minute will be compiled. You can change this setting dynamically by setting script.max_compilations_per_minute.

Stored Scriptsedit

Scripts may be stored in and retrieved from the cluster state using the _scripts end-point.

Request Examplesedit

The following are examples of using a stored script that lives at /_scripts/{id}.

First, create the script called calculate-score in the cluster state:

POST _scripts/calculate-score
{
  "script": {
    "lang": "painless",
    "source": "Math.log(_score * 2) + params.my_modifier"
  }
}

This same script can be retrieved with:

GET _scripts/calculate-score

Stored scripts can be used by specifying the id parameters as follows:

GET _search
{
  "query": {
    "script": {
      "script": {
        "id": "calculate-score",
        "params": {
          "my_modifier": 2
        }
      }
    }
  }
}

And deleted with:

DELETE _scripts/calculate-score

Script Cachingedit

All scripts are cached by default so that they only need to be recompiled when updates occur. File scripts keep a static cache and will always reside in memory. Both inline and stored scripts are stored in a cache that can evict residing scripts. By default, scripts do not have a time-based expiration, but you can change this behavior by using the script.cache.expire setting. You can configure the size of this cache by using the script.cache.max_size setting. By default, the cache size is 100.

Note

The size of stored scripts is limited to 65,535 bytes. This can be changed by setting script.max_size_in_bytes setting to increase that soft limit, but if scripts are really large then alternatives like native scripts should be considered instead.