elasticsearch/docs/reference/ingest/processors/geoip.asciidoc

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[[geoip-processor]]
=== GeoIP processor
++++
<titleabbrev>GeoIP</titleabbrev>
++++
The `geoip` processor adds information about the geographical location of an
IPv4 or IPv6 address.
[[geoip-automatic-updates]]
By default, the processor uses the GeoLite2 City, GeoLite2 Country, and GeoLite2
ASN IP geolocation databases from http://dev.maxmind.com/geoip/geoip2/geolite2/[MaxMind], shared under the
CC BY-SA 4.0 license. It automatically downloads these databases if your nodes can connect to `storage.googleapis.com` domain and either:
* `ingest.geoip.downloader.eager.download` is set to true
* your cluster has at least one pipeline with a `geoip` processor
{es} automatically downloads updates for these databases from the Elastic GeoIP
endpoint:
https://geoip.elastic.co/v1/database?elastic_geoip_service_tos=agree[https://geoip.elastic.co/v1/database].
To get download statistics for these updates, use the <<geoip-stats-api,GeoIP
stats API>>.
If your cluster can't connect to the Elastic GeoIP endpoint or you want to
manage your own updates, see <<manage-geoip-database-updates>>.
If {es} can't connect to the endpoint for 30 days all updated databases will become
invalid. {es} will stop enriching documents with geoip data and will add `tags: ["_geoip_expired_database"]`
field instead.
[[using-ingest-geoip]]
==== Using the `geoip` Processor in a Pipeline
[[ingest-geoip-options]]
.`geoip` options
[options="header"]
|======
| Name | Required | Default | Description
| `field` | yes | - | The field to get the ip address from for the geographical lookup.
| `target_field` | no | geoip | The field that will hold the geographical information looked up from the MaxMind database.
| `database_file` | no | GeoLite2-City.mmdb | The database filename referring to one of the automatically downloaded GeoLite2 databases (GeoLite2-City.mmdb, GeoLite2-Country.mmdb, or GeoLite2-ASN.mmdb) or the name of a supported database file in the `ingest-geoip` config directory.
| `properties` | no | [`continent_name`, `country_iso_code`, `country_name`, `region_iso_code`, `region_name`, `city_name`, `location`] * | Controls what properties are added to the `target_field` based on the geoip lookup.
| `ignore_missing` | no | `false` | If `true` and `field` does not exist, the processor quietly exits without modifying the document
| `first_only` | no | `true` | If `true` only first found geoip data will be returned, even if `field` contains array
| `download_database_on_pipeline_creation` | no | `true` | If `true` (and if `ingest.geoip.downloader.eager.download` is `false`), the missing database is downloaded when the pipeline is created. Else, the download is triggered by when the pipeline is used as the `default_pipeline` or `final_pipeline` in an index.
|======
*Depends on what is available in `database_file`:
* If a GeoLite2 City or GeoIP2 City database is used, then the following fields may be added under the `target_field`: `ip`,
`country_iso_code`, `country_name`, `continent_code`, `continent_name`, `region_iso_code`, `region_name`, `city_name`, `timezone`,
and `location`. The fields actually added depend on what has been found and which properties were configured in `properties`.
* If a GeoLite2 Country or GeoIP2 Country database is used, then the following fields may be added under the `target_field`: `ip`,
`country_iso_code`, `country_name`, `continent_code`, and `continent_name`. The fields actually added depend on what has been found
and which properties were configured in `properties`.
* If the GeoLite2 ASN database is used, then the following fields may be added under the `target_field`: `ip`,
`asn`, `organization_name` and `network`. The fields actually added depend on what has been found and which properties were configured
in `properties`.
* If the GeoIP2 Anonymous IP database is used, then the following fields may be added under the `target_field`: `ip`,
`hosting_provider`, `tor_exit_node`, `anonymous_vpn`, `anonymous`, `public_proxy`, and `residential_proxy`. The fields actually added
depend on what has been found and which properties were configured in `properties`.
* If the GeoIP2 Connection Type database is used, then the following fields may be added under the `target_field`: `ip`, and
`connection_type`. The fields actually added depend on what has been found and which properties were configured in `properties`.
* If the GeoIP2 Domain database is used, then the following fields may be added under the `target_field`: `ip`, and `domain`.
The fields actually added depend on what has been found and which properties were configured in `properties`.
* If the GeoIP2 ISP database is used, then the following fields may be added under the `target_field`: `ip`, `asn`,
`organization_name`, `network`, `isp`, `isp_organization`, `mobile_country_code`, and `mobile_network_code`. The fields actually added
depend on what has been found and which properties were configured in `properties`.
* If the GeoIP2 Enterprise database is used, then the following fields may be added under the `target_field`: `ip`,
`country_iso_code`, `country_name`, `continent_code`, `continent_name`, `region_iso_code`, `region_name`, `city_name`, `timezone`,
`location`, `asn`, `organization_name`, `network`, `hosting_provider`, `tor_exit_node`, `anonymous_vpn`, `anonymous`, `public_proxy`,
`residential_proxy`, `domain`, `isp`, `isp_organization`, `mobile_country_code`, `mobile_network_code`, `user_type`, and
`connection_type`. The fields actually added depend on what has been found and which properties were configured in `properties`.
preview::["Do not use the GeoIP2 Anonymous IP, GeoIP2 Connection Type, GeoIP2 Domain, GeoIP2 ISP, and GeoIP2 Enterprise databases in production environments. This functionality is in technical preview and may be changed or removed in a future release. Elastic will work to fix any issues, but features in technical preview are not subject to the support SLA of official GA features."]
Here is an example that uses the default city database and adds the geographical information to the `geoip` field based on the `ip` field:
[source,console]
--------------------------------------------------
PUT _ingest/pipeline/geoip
{
"description" : "Add geoip info",
"processors" : [
{
"geoip" : {
"field" : "ip"
}
}
]
}
PUT my-index-000001/_doc/my_id?pipeline=geoip
{
"ip": "89.160.20.128"
}
GET my-index-000001/_doc/my_id
--------------------------------------------------
Which returns:
[source,console-result]
--------------------------------------------------
{
"found": true,
"_index": "my-index-000001",
"_id": "my_id",
"_version": 1,
"_seq_no": 55,
"_primary_term": 1,
"_source": {
"ip": "89.160.20.128",
"geoip": {
"continent_name": "Europe",
"country_name": "Sweden",
"country_iso_code": "SE",
"city_name" : "Linköping",
"region_iso_code" : "SE-E",
"region_name" : "Östergötland County",
"location": { "lat": 58.4167, "lon": 15.6167 }
}
}
}
--------------------------------------------------
// TESTRESPONSE[s/"_seq_no": \d+/"_seq_no" : $body._seq_no/ s/"_primary_term":1/"_primary_term" : $body._primary_term/]
Here is an example that uses the default country database and adds the
geographical information to the `geo` field based on the `ip` field. Note that
this database is downloaded automatically. So this:
[source,console]
--------------------------------------------------
PUT _ingest/pipeline/geoip
{
"description" : "Add geoip info",
"processors" : [
{
"geoip" : {
"field" : "ip",
"target_field" : "geo",
"database_file" : "GeoLite2-Country.mmdb"
}
}
]
}
PUT my-index-000001/_doc/my_id?pipeline=geoip
{
"ip": "89.160.20.128"
}
GET my-index-000001/_doc/my_id
--------------------------------------------------
returns this:
[source,console-result]
--------------------------------------------------
{
"found": true,
"_index": "my-index-000001",
"_id": "my_id",
"_version": 1,
"_seq_no": 65,
"_primary_term": 1,
"_source": {
"ip": "89.160.20.128",
"geo": {
"continent_name": "Europe",
"country_name": "Sweden",
"country_iso_code": "SE"
}
}
}
--------------------------------------------------
// TESTRESPONSE[s/"_seq_no": \d+/"_seq_no" : $body._seq_no/ s/"_primary_term" : 1/"_primary_term" : $body._primary_term/]
Not all IP addresses find geo information from the database, When this
occurs, no `target_field` is inserted into the document.
Here is an example of what documents will be indexed as when information for "80.231.5.0"
cannot be found:
[source,console]
--------------------------------------------------
PUT _ingest/pipeline/geoip
{
"description" : "Add geoip info",
"processors" : [
{
"geoip" : {
"field" : "ip"
}
}
]
}
PUT my-index-000001/_doc/my_id?pipeline=geoip
{
"ip": "80.231.5.0"
}
GET my-index-000001/_doc/my_id
--------------------------------------------------
Which returns:
[source,console-result]
--------------------------------------------------
{
"_index" : "my-index-000001",
"_id" : "my_id",
"_version" : 1,
"_seq_no" : 71,
"_primary_term": 1,
"found" : true,
"_source" : {
"ip" : "80.231.5.0"
}
}
--------------------------------------------------
// TESTRESPONSE[s/"_seq_no" : \d+/"_seq_no" : $body._seq_no/ s/"_primary_term" : 1/"_primary_term" : $body._primary_term/]
[[ingest-geoip-mappings-note]]
===== Recognizing Location as a Geopoint
Although this processor enriches your document with a `location` field containing
the estimated latitude and longitude of the IP address, this field will not be
indexed as a {ref}/geo-point.html[`geo_point`] type in Elasticsearch without explicitly defining it
as such in the mapping.
You can use the following mapping for the example index above:
[source,console]
--------------------------------------------------
PUT my_ip_locations
{
"mappings": {
"properties": {
"geoip": {
"properties": {
"location": { "type": "geo_point" }
}
}
}
}
}
--------------------------------------------------
////
[source,console]
--------------------------------------------------
PUT _ingest/pipeline/geoip
{
"description" : "Add geoip info",
"processors" : [
{
"geoip" : {
"field" : "ip"
}
}
]
}
PUT my_ip_locations/_doc/1?refresh=true&pipeline=geoip
{
"ip": "89.160.20.128"
}
GET /my_ip_locations/_search
{
"query": {
"bool": {
"must": {
"match_all": {}
},
"filter": {
"geo_distance": {
"distance": "1m",
"geoip.location": {
"lon": 15.6167,
"lat": 58.4167
}
}
}
}
}
}
--------------------------------------------------
// TEST[continued]
[source,console-result]
--------------------------------------------------
{
"took" : 3,
"timed_out" : false,
"_shards" : {
"total" : 1,
"successful" : 1,
"skipped" : 0,
"failed" : 0
},
"hits" : {
"total" : {
"value": 1,
"relation": "eq"
},
"max_score" : 1.0,
"hits" : [
{
"_index" : "my_ip_locations",
"_id" : "1",
"_score" : 1.0,
"_source" : {
"geoip" : {
"continent_name" : "Europe",
"country_name" : "Sweden",
"country_iso_code" : "SE",
"city_name" : "Linköping",
"region_iso_code" : "SE-E",
"region_name" : "Östergötland County",
"location" : {
"lon" : 15.6167,
"lat" : 58.4167
}
},
"ip" : "89.160.20.128"
}
}
]
}
}
--------------------------------------------------
// TESTRESPONSE[s/"took" : 3/"took" : $body.took/]
////
[[manage-geoip-database-updates]]
==== Manage your own IP geolocation database updates
If you can't <<geoip-automatic-updates,automatically update>> your IP geolocation databases
from the Elastic endpoint, you have a few other options:
* <<use-proxy-geoip-endpoint,Use a proxy endpoint>>
* <<use-custom-geoip-endpoint,Use a custom endpoint>>
* <<manually-update-geoip-databases,Manually update your IP geolocation databases>>
[[use-proxy-geoip-endpoint]]
**Use a proxy endpoint**
If you can't connect directly to the Elastic GeoIP endpoint, consider setting up
a secure proxy. You can then specify the proxy endpoint URL in the
<<ingest-geoip-downloader-endpoint,`ingest.geoip.downloader.endpoint`>> setting
of each nodes `elasticsearch.yml` file.
In a strict setup the following domains may need to be added to the allowed
domains list:
* `geoip.elastic.co`
* `storage.googleapis.com`
[[use-custom-geoip-endpoint]]
**Use a custom endpoint**
You can create a service that mimics the Elastic GeoIP endpoint. You can then
get automatic updates from this service.
. Download your `.mmdb` database files from the
http://dev.maxmind.com/geoip/geoip2/geolite2[MaxMind site].
. Copy your database files to a single directory.
. From your {es} directory, run:
+
[source,sh]
----
./bin/elasticsearch-geoip -s my/source/dir [-t target/directory]
----
. Serve the static database files from your directory. For example, you can use
Docker to serve the files from an nginx server:
+
[source,sh]
----
docker run -v my/source/dir:/usr/share/nginx/html:ro nginx
----
. Specify the service's endpoint URL in the
<<ingest-geoip-downloader-endpoint,`ingest.geoip.downloader.endpoint`>> setting
of each nodes `elasticsearch.yml` file.
+
By default, {es} checks the endpoint for updates every three days. To use
another polling interval, use the <<cluster-update-settings,cluster update
settings API>> to set
<<ingest-geoip-downloader-poll-interval,`ingest.geoip.downloader.poll.interval`>>.
[[manually-update-geoip-databases]]
**Manually update your IP geolocation databases**
. Use the <<cluster-update-settings,cluster update settings API>> to set
`ingest.geoip.downloader.enabled` to `false`. This disables automatic updates
that may overwrite your database changes. This also deletes all downloaded
databases.
. Download your `.mmdb` database files from the
http://dev.maxmind.com/geoip/geoip2/geolite2[MaxMind site].
+
You can also use custom city, country, and ASN `.mmdb` files. These files must
be uncompressed. The type (city, country, or ASN) will be pulled from the file
metadata, so the filename does not matter.
. On {ess} deployments upload database using
a {cloud}/ec-custom-bundles.html[custom bundle].
. On self-managed deployments copy the database files to `$ES_CONFIG/ingest-geoip`.
. In your `geoip` processors, configure the `database_file` parameter to use a
custom database file.
[[ingest-geoip-settings]]
===== Node Settings
The `geoip` processor supports the following setting:
`ingest.geoip.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 `geoip` processors, i.e. there is one cache for all defined `geoip` processors.
[[geoip-cluster-settings]]
===== Cluster settings
[[ingest-geoip-downloader-enabled]]
`ingest.geoip.downloader.enabled`::
(<<dynamic-cluster-setting,Dynamic>>, Boolean)
If `true`, {es} automatically downloads and manages updates for IP geolocation databases
from the `ingest.geoip.downloader.endpoint`. If `false`, {es} does not download
updates and deletes all downloaded databases. Defaults to `true`.
[[ingest-geoip-downloader-eager-download]]
`ingest.geoip.downloader.eager.download`::
(<<dynamic-cluster-setting,Dynamic>>, Boolean)
If `true`, {es} downloads IP geolocation databases immediately, regardless of whether a
pipeline exists with a geoip processor. If `false`, {es} only begins downloading
the databases if a pipeline with a geoip processor exists or is added. Defaults
to `false`.
[[ingest-geoip-downloader-endpoint]]
`ingest.geoip.downloader.endpoint`::
(<<static-cluster-setting,Static>>, string)
Endpoint URL used to download updates for IP geolocation databases. For example, `https://myDomain.com/overview.json`.
Defaults to `https://geoip.elastic.co/v1/database`. {es} stores downloaded database files in
each node's <<es-tmpdir,temporary directory>> at `$ES_TMPDIR/geoip-databases/<node_id>`.
Note that {es} will make a GET request to `${ingest.geoip.downloader.endpoint}?elastic_geoip_service_tos=agree`,
expecting the list of metadata about databases typically found in `overview.json`.
The GeoIP downloader uses the JDK's builtin cacerts. If you're using a custom endpoint, add the custom https endpoint cacert(s) to the JDK's truststore.
[[ingest-geoip-downloader-poll-interval]]
`ingest.geoip.downloader.poll.interval`::
(<<dynamic-cluster-setting,Dynamic>>, <<time-units,time value>>)
How often {es} checks for IP geolocation database updates at the
`ingest.geoip.downloader.endpoint`. Must be greater than `1d` (one day). Defaults
to `3d` (three days).