 Plugin version: v1.1.1
 Released on: 20180918
 Changelog
For other versions, see the overview list.
To learn more about Logstash, see the Logstash Reference.
For 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.
This filter performs simple arithmetic calculations on Numeric or Logstash Timestamp values taken from fields in an event.
The following example shows how multiple steps can be calculated. Imagine you have two fields that represent distances in kilometers and you need to add them together and multiply the result by 1000 to get total distance in meters.
filter { math { calculate => [ [ "add", "[walk1_distance]", "[walk2_distance]", "MEM[0]" ], [ "multiply", MEM[0], 1000, "[total_distance_m]" ] ] } }
This calculation adds the two field’s values together and stores the result in a memory register.  
This calculation multiplies the value in the memory register with a literal numeric value. 
Here’s a full example that takes outside and inside air temperatures in degrees Fahrenheit and calculates the difference in Celsius. The arithmetic equivalent is:
delta_in_c = round( ((inside  32) * 5 / 9)  ((outside  32) * 5 / 9) )
input { generator { message => '{"sensor":"temperature1", "inside": 71.24, "outside": 61.7 }' count => 1 } } filter { json { source => "message" } if "_jsonparsefailure" not in [tags] { math { calculate => [ [ "fdiv", 5, 9, "MEM[0]" ], [ "subtract", "[outside]", 32, "MEM[1]" ], [ "multiply", "MEM[1]", "MEM[0]", "MEM[1]" ], [ "subtract", "[inside]", 32, "MEM[2]" ], [ "multiply", "MEM[2]", "MEM[0]", "MEM[2]" ], [ "subtract", "MEM[2]", "MEM[1]", "MEM[3]" ], [ "round", "MEM[3]", 1, "[delta_in_c]" ] ] } } } output { stdout { codec => rubydebug } }
The resulting event looks like this.
{ "inside" => 71.24, "@timestamp" => 20180623T13:25:22.298Z, "sensor" => "temperature1", "delta_in_c" => 5.3, "message" => "{\"sensor\":\"temperature1\", \"inside\": 71.24, \"outside\": 61.7 }", "@version" => "1", "sequence" => 0, "host" => "ElasticsMacBookPro.local", "outside" => 61.7 }
This plugin supports the following configuration options plus the Common Options described later.
Also see Common Options for a list of options supported by all filter plugins.
The calculation to be performed. As can be seen from the example above by using multiple inner arrays one can perform calculation with multiple steps or multiple distinct calculations on a single event.
Each inner array must have 4 elements
The first element must be the operator. Valid operators are:
Operation  Representations 

Add  +, add, plus 
Subtract  , sub, subtract 
Multiply  *, mpx, times, multiply 
Round  round 
Power  **, ^, to the power of 
Divide  /, div, divide 
Modulo  mod, modulo 
FloatDivide  fdiv, float divide 
You may use any of the representations to refer to an operator. For instance, long hand representation maybe more clear to read when you or a coworker looks at your config some months later.
The second element is the left hand side operand. It can be a field, a literal or a memory register. If referring to a memory register, ensure that it has been set to a value in a previous calculation.
A literal can be a float or an integer. Exponent expressions, e.g. 10e+3
are not supported.
The third element is the right hand side operand. It can be a field, a literal or a memory register.
The fourth element is the "target". It is where the result is stored and can be a memory register or a field in your event. It cannot be a literal.
You will get a warning if the target of the last calculation is a memory register because the final result will not be added to the event.
For a calculation to continue, any operand taken from a field in the event must be
Numeric
or a Logstash Timestamp
and not nil. Timestamps are converted to
floating point seconds since the UNIX epoch (Jan, 1 1970 00:00:00 UTC) before being operated on.
The operators Divide
, FloatDivide
and Modulo
have a divide by zero check before the operation is executed.
The Power
operator has a check for a negative number being raised to a fractional power as this results in
a Complex number that can’t be stored in an event or serialized to JSON.
The Round
operator can convert integers to floats round(42, 1) > 42.0
and floats to integers (rounding up or down) round(0.75, 0) > 1
.
You can choose not to use memory registers and store intermediate results in fields instead but then you may
need to remove the fields later.
Memory registers are implemented as a sparse array and the integer between the square brackets is a zero based
direct index into the array. For example, MEM[5]
, 5 is a reference to the 6th element in the array.
The array is cleared for each event, this means that you can’t leave a value behind for a later event to use.
Each math filter will have its own memory register array so you can’t share values between math filters
in the same pipeline or across pipelines.
Use the bracketed notation e.g. [fieldname]
to better distinguish fields from
memory register references.
There is some logging of the calculation progress at the debug logging level. This is an excerpt from the full example at the top of this page:
[DEBUG][logstash.filters.math ] executing {"function"=>"float_divide", "left_field"=>"operand 1: 5", "right_field"=>"operand 2: 9", "target"=>"register 0: 'MEM[0]'"} [DEBUG][logstash.filters.math ] calculation result stored {"function"=>"float_divide", "target"=>"register 0: 'MEM[0]'", "result"=>0.5555555555555556} [DEBUG][logstash.filters.math ] executing {"function"=>"subtract", "left_field"=>"event operand 1: '[outside]'", "right_field"=>"operand 2: 32", "target"=>"register 1: 'MEM[1]'"} [DEBUG][logstash.filters.math ] calculation result stored {"function"=>"subtract", "target"=>"register 1: 'MEM[1]'", "result"=>#<BigDecimal:2c16adee,'0.297E2',3(4)>} [DEBUG][logstash.filters.math ] executing {"function"=>"multiply", "left_field"=>"register operand 1: 'MEM[1]'", "right_field"=>"register operand 2: 'MEM[0]'", "target"=>"register 1: 'MEM[1]'"} [DEBUG][logstash.filters.math ] calculation result stored {"function"=>"multiply", "target"=>"register 1: 'MEM[1]'", "result"=>#<BigDecimal:76bc6a4c,'0.1650000000000000132E2',19(20)>} [DEBUG][logstash.filters.math ] executing {"function"=>"subtract", "left_field"=>"event operand 1: '[inside]'", "right_field"=>"operand 2: 32", "target"=>"register 2: 'MEM[2]'"} [DEBUG][logstash.filters.math ] calculation result stored {"function"=>"subtract", "target"=>"register 2: 'MEM[2]'", "result"=>#<BigDecimal:6761cedc,'0.3924E2',4(8)>} [DEBUG][logstash.filters.math ] executing {"function"=>"multiply", "left_field"=>"register operand 1: 'MEM[2]'", "right_field"=>"register operand 2: 'MEM[0]'", "target"=>"register 2: 'MEM[2]'"} [DEBUG][logstash.filters.math ] calculation result stored {"function"=>"multiply", "target"=>"register 2: 'MEM[2]'", "result"=>#<BigDecimal:5b03b20a,'0.21800000000000001744E2',20(24)>} [DEBUG][logstash.filters.math ] executing {"function"=>"subtract", "left_field"=>"register operand 1: 'MEM[2]'", "right_field"=>"register operand 2: 'MEM[1]'", "target"=>"register 3: 'MEM[3]'"} [DEBUG][logstash.filters.math ] calculation result stored {"function"=>"subtract", "target"=>"register 3: 'MEM[3]'", "result"=>#<BigDecimal:2e0e043,'0.5300000000000000424E1',19(20)>} [DEBUG][logstash.filters.math ] executing {"function"=>"round", "left_field"=>"register operand 1: 'MEM[3]'", "right_field"=>"operand 2: 1", "target"=>"event result: '[delta_in_c]'"} [DEBUG][logstash.filters.math ] calculation result stored {"function"=>"round", "target"=>"event result: '[delta_in_c]'", "result"=>#<BigDecimal:5415cc0,'0.53E1',2(4)>}
The following configuration options are supported by all filter plugins:
Setting  Input type  Required 

No  
No  
No  
No  
No  
No  
No 
 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 { math { add_field => { "foo_%{somefield}" => "Hello world, from %{host}" } } }
# You can also add multiple fields at once: filter { math { 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.
 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 { math { add_tag => [ "foo_%{somefield}" ] } }
# You can also add multiple tags at once: filter { math { 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).
 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.
 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 math filters.
Adding a named ID in this case will help in monitoring Logstash when using the monitoring APIs.
filter { math { id => "ABC" } }
 Value type is boolean

Default value is
false
Call the filter flush method at regular interval. Optional.
 Value type is array

Default value is
[]
If this filter is successful, remove arbitrary fields from this event. Example:
filter { math { remove_field => [ "foo_%{somefield}" ] } }
# You can also remove multiple fields at once: filter { math { 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, nondynamic field.
 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 { math { remove_tag => [ "foo_%{somefield}" ] } }
# You can also remove multiple tags at once: filter { math { 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.
:plugin: math
:type: filter