Edge Delta Parse Key Value Processor

The Edge Delta parse key value processor parses a key value field into structured data.

3 minute read

Overview

The Parse key value processor parses a string of key value pairs into an array. The processor performs a conditional transformation based on whether the attributes field is a map or not. If attributes is already a map, the processor will merge the parsed body into it. If it’s not a map, the processor will replace it completely with the parsed body.

For detailed instructions on how to use multiprocessors, see Use Multiprocessors.

Configuration

Consider this log:

service=auth user=65532 action=login status=success location=us-east-1 service=billing action=invoice status=failure location=eu-west-2

It consists of key value pairs. The following configuration parses it using the = and space delimiters.

This is the YAML version:

- name: Multi Processor_fa8d
  type: sequence
  processors:
  - type: ottl_transform
    metadata: '{"id":"O2M9vOgcmkS3yFS3G5Vfk","type":"parse-key-value","name":"Parse
      Key Value"}'
    statements: |-
      merge_maps(attributes, ParseKeyValue(body, "=", " "), "upsert") where IsMap(attributes)
      set(attributes, ParseKeyValue(body, "=", " ")) where not IsMap(attributes))

Options

Select a telemetry type

You can specify, log, metric, trace or all. It is specified using the interface, which generates a YAML list item for you under the data_types parameter. This defines the data item types against which the processor must operate. If data_types is not specified, the default value is all. It is optional.

It is defined in YAML as follows:

- name: multiprocessor
  type: sequence
  processors:
  - type: <processor type>
    data_types:
    - log

condition

The condition parameter contains a conditional phrase of an OTTL statement. It restricts operation of the processor to only data items where the condition is met. Those data items that do not match the condition are passed without processing. You configure it in the interface and an OTTL condition is generated. It is optional. You can select one of the following operators:

Operator	Name	Description	Example
`==`	Equal to	Returns `true` if both values are exactly the same	`attributes["status"] == "OK"`
`!=`	Not equal to	Returns `true` if the values are not the same	`attributes["level"] != "debug"`
`>`	Greater than	Returns `true` if the left value is greater than the right	`attributes["duration_ms"] > 1000`
`>=`	Greater than or equal	Returns `true` if the left value is greater than or equal to the right	`attributes["score"] >= 90`
`<`	Less than	Returns `true` if the left value is less than the right	`attributes["load"] < 0.75`
`<=`	Less than or equal	Returns `true` if the left value is less than or equal to the right	`attributes["retries"] <= 3`
`matches`	Regex match	Returns `true` if the string matches a regular expression	`isMatch(attributes["name"], ".*\\.name$"`

It is defined in YAML as follows:

- name: _multiprocessor
  type: sequence
  processors:
  - type: <processor type>
    condition: attributes["request"]["path"] == "/json/view"

Parse from

Specify the field containing the key value data.

Assign to

Specify the field where you want the parsed object to be saved.

Pair delimiter

Specify the character that separates the pairs from each other.

Delimiter

Specify the character that separates the key from the value within each pair.

Final

The final parameter specifies whether successfully processed data items should continue to subsequent processors within the same multiprocessor node. Data items that fail to be processed by the processor will be passed to the next processor in the node regardless of this setting. You select the slider in the tool which specifies it for you in the YAML as a Boolean. The default is false and it is optional.

It is defined in YAML as follows:

- name: multiprocessor
  type: sequence
  processors:
    - type: <processor type>
    final: true

Keep original telemetry item

This option defines whether to delete the original unmodified data item after it is processed. For example, you can keep the original log as well as any metrics generated by an extract metric processor. If you select this option your data volume will increase.