User agent processor

The user_agent processor extracts details from the user agent string a browser sends with its web requests. This processor adds this information by default under the user_agent field.

The ingest-user-agent module ships by default with the regexes.yaml made available by uap-java with an Apache 2.0 license. For more details see https://github.com/ua-parser/uap-core.

Using the user_agent Processor in a Pipeline

edit

Table 48. User-agent options

Name	Required	Default	Description
`field`	yes	-	The field containing the user agent string.
`target_field`	no	user_agent	The field that will be filled with the user agent details.
`regex_file`	no	-	The name of the file in the `config/ingest-user-agent` directory containing the regular expressions for parsing the user agent string. Both the directory and the file have to be created before starting Elasticsearch. If not specified, ingest-user-agent will use the regexes.yaml from uap-core it ships with (see below).
`properties`	no	[`name`, `os`, `device`, `original`, `version`]	Controls what properties are added to `target_field`.
`extract_device_type`	no	`false`	[beta] This functionality is in beta and is subject to change. The design and code is less mature than official GA features and is being provided as-is with no warranties. Beta features are not subject to the support SLA of official GA features. Extracts device type from the user agent string on a best-effort basis.
`ignore_missing`	no	`false`	If `true` and `field` does not exist, the processor quietly exits without modifying the document

Here is an example that adds the user agent details to the user_agent field based on the agent field:

resp = client.ingest.put_pipeline(
    id="user_agent",
    description="Add user agent information",
    processors=[
        {
            "user_agent": {
                "field": "agent"
            }
        }
    ],
)
print(resp)

resp1 = client.index(
    index="my-index-000001",
    id="my_id",
    pipeline="user_agent",
    document={
        "agent": "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_10_5) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/51.0.2704.103 Safari/537.36"
    },
)
print(resp1)

resp2 = client.get(
    index="my-index-000001",
    id="my_id",
)
print(resp2)

response = client.ingest.put_pipeline(
  id: 'user_agent',
  body: {
    description: 'Add user agent information',
    processors: [
      {
        user_agent: {
          field: 'agent'
        }
      }
    ]
  }
)
puts response

response = client.index(
  index: 'my-index-000001',
  id: 'my_id',
  pipeline: 'user_agent',
  body: {
    agent: 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_10_5) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/51.0.2704.103 Safari/537.36'
  }
)
puts response

response = client.get(
  index: 'my-index-000001',
  id: 'my_id'
)
puts response

const response = await client.ingest.putPipeline({
  id: "user_agent",
  description: "Add user agent information",
  processors: [
    {
      user_agent: {
        field: "agent",
      },
    },
  ],
});
console.log(response);

const response1 = await client.index({
  index: "my-index-000001",
  id: "my_id",
  pipeline: "user_agent",
  document: {
    agent:
      "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_10_5) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/51.0.2704.103 Safari/537.36",
  },
});
console.log(response1);

const response2 = await client.get({
  index: "my-index-000001",
  id: "my_id",
});
console.log(response2);

PUT _ingest/pipeline/user_agent
{
  "description" : "Add user agent information",
  "processors" : [
    {
      "user_agent" : {
        "field" : "agent"
      }
    }
  ]
}
PUT my-index-000001/_doc/my_id?pipeline=user_agent
{
  "agent": "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_10_5) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/51.0.2704.103 Safari/537.36"
}
GET my-index-000001/_doc/my_id

Which returns

{
  "found": true,
  "_index": "my-index-000001",
  "_id": "my_id",
  "_version": 1,
  "_seq_no": 22,
  "_primary_term": 1,
  "_source": {
    "agent": "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_10_5) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/51.0.2704.103 Safari/537.36",
    "user_agent": {
      "name": "Chrome",
      "original": "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_10_5) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/51.0.2704.103 Safari/537.36",
      "version": "51.0.2704.103",
      "os": {
        "name": "Mac OS X",
        "version": "10.10.5",
        "full": "Mac OS X 10.10.5"
      },
      "device" : {
        "name" : "Mac"
      }
    }
  }
}

Using a custom regex file

edit

To use a custom regex file for parsing the user agents, that file has to be put into the config/ingest-user-agent directory and has to have a .yml filename extension. The file has to be present at node startup, any changes to it or any new files added while the node is running will not have any effect.

In practice, it will make most sense for any custom regex file to be a variant of the default file, either a more recent version or a customised version.

The default file included in ingest-user-agent is the regexes.yaml from uap-core: https://github.com/ua-parser/uap-core/blob/master/regexes.yaml

Node Settings

edit

The user_agent processor supports the following setting:

ingest.user_agent.cache_size: The maximum number of results that should be cached. Defaults to 1000.

Note that these settings are node settings and apply to all user_agent processors, i.e. there is one cache for all defined user_agent processors.

« URI parts processor Ingest pipelines in Search »