aggregate
editaggregate
editThis is a community-maintained plugin! It does not ship with Logstash by default, but it is easy to install by running bin/logstash-plugin install logstash-filter-aggregate
.
The aim of this filter is to aggregate information available among several events (typically log lines) belonging to a same task, and finally push aggregated information into final task event.
You should be very careful to set logstash filter workers to 1 (-w 1
flag) for this filter to work correctly otherwise documents
may be processed out of sequence and unexpected results will occur.
Example #1
edit- with these given logs :
INFO - 12345 - TASK_START - start INFO - 12345 - SQL - sqlQuery1 - 12 INFO - 12345 - SQL - sqlQuery2 - 34 INFO - 12345 - TASK_END - end
- you can aggregate "sql duration" for the whole task with this configuration :
filter { grok { match => [ "message", "%{LOGLEVEL:loglevel} - %{NOTSPACE:taskid} - %{NOTSPACE:logger} - %{WORD:label}( - %{INT:duration:int})?" ] } if [logger] == "TASK_START" { aggregate { task_id => "%{taskid}" code => "map['sql_duration'] = 0" map_action => "create" } } if [logger] == "SQL" { aggregate { task_id => "%{taskid}" code => "map['sql_duration'] += event['duration']" map_action => "update" } } if [logger] == "TASK_END" { aggregate { task_id => "%{taskid}" code => "event['sql_duration'] = map['sql_duration']" map_action => "update" end_of_task => true timeout => 120 } } }
- the final event then looks like :
{ "message" => "INFO - 12345 - TASK_END - end message", "sql_duration" => 46 }
the field sql_duration
is added and contains the sum of all sql queries durations.
Example #2
edit- If you have the same logs than example #1, but without a start log :
INFO - 12345 - SQL - sqlQuery1 - 12 INFO - 12345 - SQL - sqlQuery2 - 34 INFO - 12345 - TASK_END - end
- you can also aggregate "sql duration" with a slightly different configuration :
filter { grok { match => [ "message", "%{LOGLEVEL:loglevel} - %{NOTSPACE:taskid} - %{NOTSPACE:logger} - %{WORD:label}( - %{INT:duration:int})?" ] } if [logger] == "SQL" { aggregate { task_id => "%{taskid}" code => "map['sql_duration'] ||= 0 ; map['sql_duration'] += event['duration']" } } if [logger] == "TASK_END" { aggregate { task_id => "%{taskid}" code => "event['sql_duration'] = map['sql_duration']" end_of_task => true timeout => 120 } } }
- the final event is exactly the same than example #1
- the key point is the "||=" ruby operator. It allows to initialize sql_duration map entry to 0 only if this map entry is not already initialized
How it works
edit- the filter needs a "task_id" to correlate events (log lines) of a same task
- at the task beggining, filter creates a map, attached to task_id
- for each event, you can execute code using event and map (for instance, copy an event field to map)
- in the final event, you can execute a last code (for instance, add map data to final event)
- after the final event, the map attached to task is deleted
- in one filter configuration, it is recommanded to define a timeout option to protect the feature against unterminated tasks. It tells the filter to delete expired maps
- if no timeout is defined, by default, all maps older than 1800 seconds are automatically deleted
-
finally, if
code
execution raises an exception, the error is logged and event is tagged _aggregateexception
Synopsis
editThis plugin supports the following configuration options:
Required configuration options:
aggregate { code => ... task_id => ... }
Available configuration options:
Setting | Input type | Required | Default value |
---|---|---|---|
No |
|
||
No |
|
||
Yes |
|||
No |
|
||
No |
|
||
No |
|
||
No |
|
||
No |
|
||
Yes |
|||
No |
|
Details
edit
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 { aggregate { add_field => { "foo_%{somefield}" => "Hello world, from %{host}" } } } [source,ruby] # You can also add multiple fields at once: filter { aggregate { 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 { aggregate { add_tag => [ "foo_%{somefield}" ] } } [source,ruby] # You can also add multiple tags at once: filter { aggregate { 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).
code
edit- This is a required setting.
- Value type is string
- There is no default value for this setting.
The code to execute to update map, using current event.
Or on the contrary, the code to execute to update event, using current map.
You will have a map variable and an event variable available (that is the event itself).
Example value : "map[sql_duration] += event[duration]"
end_of_task
edit- Value type is boolean
-
Default value is
false
Tell the filter that task is ended, and therefore, to delete map after code execution.
map_action
edit- Value type is string
-
Default value is
"create_or_update"
Tell the filter what to do with aggregate map.
create
: create the map, and execute the code only if map wasn’t created before
update
: doesn’t create the map, and execute the code only if map was created before
create_or_update
: create the map if it wasn’t created before, execute the code in all cases
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 { aggregate { remove_field => [ "foo_%{somefield}" ] } } [source,ruby] # You can also remove multiple fields at once: filter { aggregate { 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 { aggregate { remove_tag => [ "foo_%{somefield}" ] } } [source,ruby] # You can also remove multiple tags at once: filter { aggregate { 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.