Useragent filter plugin v3.2.0
editUseragent filter plugin v3.2.0
edit- Plugin version: v3.2.0
- Released on: 2017-07-10
- Changelog
For other versions, see the overview list.
To learn more about Logstash, see the Logstash Reference.
Getting help
editFor questions about the plugin, open a topic in the Discuss forums. For bugs or feature requests, open an issue in Github. For the list of Elastic supported plugins, please consult the Elastic Support Matrix.
Description
editParse user agent strings into structured data based on BrowserScope data
UserAgent filter, adds information about user agent like family, operating system, version, and device
Logstash releases ship with the regexes.yaml database made available from ua-parser with an Apache 2.0 license. For more details on ua-parser, see https://github.com/tobie/ua-parser/.
Useragent Filter Configuration Options
editThis plugin supports the following configuration options plus the Common options described later.
Setting | Input type | Required |
---|---|---|
No |
||
No |
||
No |
||
Yes |
||
No |
Also see Common options for a list of options supported by all filter plugins.
lru_cache_size
edit- Value type is number
-
Default value is
1000
UA parsing is surprisingly expensive. This filter uses an LRU cache to take advantage of the fact that user agents are often found adjacent to one another in log files and rarely have a random distribution. The higher you set this the more likely an item is to be in the cache and the faster this filter will run. However, if you set this too high you can use more memory than desired.
Experiment with different values for this option to find the best performance for your dataset.
This MUST be set to a value > 0. There is really no reason to not want this behavior, the overhead is minimal and the speed gains are large.
It is important to note that this config value is global. That is to say all instances of the user agent filter share the same cache. The last declared cache size will win. The reason for this is that there would be no benefit to having multiple caches for different instances at different points in the pipeline, that would just increase the number of cache misses and waste memory.
prefix
edit- Value type is string
-
Default value is
""
A string to prepend to all of the extracted keys
regexes
edit- Value type is string
- There is no default value for this setting.
regexes.yaml
file to use
If not specified, this will default to the regexes.yaml
that ships
with logstash.
You can find the latest version of this here: https://github.com/ua-parser/uap-core/blob/master/regexes.yaml
Common options
editThese configuration options are supported by all filter plugins:
Setting | Input type | Required |
---|---|---|
No |
||
No |
||
No |
||
No |
||
No |
||
No |
||
No |
add_field
edit- Value type is hash
-
Default value is
{}
If this filter is successful, add any arbitrary fields to this event.
Field names can be dynamic and include parts of the event using the %{field}
.
Example:
filter { useragent { add_field => { "foo_%{somefield}" => "Hello world, from %{host}" } } }
# You can also add multiple fields at once: filter { useragent { add_field => { "foo_%{somefield}" => "Hello world, from %{host}" "new_field" => "new_static_value" } } }
If the event has field "somefield" == "hello"
this filter, on success,
would add field foo_hello
if it is present, with the
value above and the %{host}
piece replaced with that value from the
event. The second example would also add a hardcoded field.
add_tag
edit- Value type is array
-
Default value is
[]
If this filter is successful, add arbitrary tags to the event.
Tags can be dynamic and include parts of the event using the %{field}
syntax.
Example:
filter { useragent { add_tag => [ "foo_%{somefield}" ] } }
# You can also add multiple tags at once: filter { useragent { add_tag => [ "foo_%{somefield}", "taggedy_tag"] } }
If the event has field "somefield" == "hello"
this filter, on success,
would add a tag foo_hello
(and the second example would of course add a taggedy_tag
tag).
enable_metric
edit- Value type is boolean
-
Default value is
true
Disable or enable metric logging for this specific plugin instance by default we record all the metrics we can, but you can disable metrics collection for a specific plugin.
id
edit- Value type is string
- There is no default value for this setting.
Add a unique ID
to the plugin configuration. If no ID is specified, Logstash will generate one.
It is strongly recommended to set this ID in your configuration. This is particularly useful
when you have two or more plugins of the same type, for example, if you have 2 useragent filters.
Adding a named ID in this case will help in monitoring Logstash when using the monitoring APIs.
filter { useragent { id => "ABC" } }
periodic_flush
edit- Value type is boolean
-
Default value is
false
Call the filter flush method at regular interval. Optional.
remove_field
edit- Value type is array
-
Default value is
[]
If this filter is successful, remove arbitrary fields from this event. Fields names can be dynamic and include parts of the event using the %{field} Example:
filter { useragent { remove_field => [ "foo_%{somefield}" ] } }
# You can also remove multiple fields at once: filter { useragent { remove_field => [ "foo_%{somefield}", "my_extraneous_field" ] } }
If the event has field "somefield" == "hello"
this filter, on success,
would remove the field with name foo_hello
if it is present. The second
example would remove an additional, non-dynamic field.
remove_tag
edit- Value type is array
-
Default value is
[]
If this filter is successful, remove arbitrary tags from the event.
Tags can be dynamic and include parts of the event using the %{field}
syntax.
Example:
filter { useragent { remove_tag => [ "foo_%{somefield}" ] } }
# You can also remove multiple tags at once: filter { useragent { remove_tag => [ "foo_%{somefield}", "sad_unwanted_tag"] } }
If the event has field "somefield" == "hello"
this filter, on success,
would remove the tag foo_hello
if it is present. The second example
would remove a sad, unwanted tag as well.