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Regenerate client from commit a435f1bd of spec repo
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‎.apigentools-info‎

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"spec_versions": {
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"v1": {
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"apigentools_version": "1.6.6",
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"regenerated": "2025-06-26 17:56:17.204143",
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"spec_repo_commit": "76086f13"
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"regenerated": "2025-06-27 13:25:59.837284",
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"spec_repo_commit": "a435f1bd"
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},
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"v2": {
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"apigentools_version": "1.6.6",
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"regenerated": "2025-06-26 17:56:17.219918",
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"spec_repo_commit": "76086f13"
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"regenerated": "2025-06-27 13:25:59.853309",
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"spec_repo_commit": "a435f1bd"
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}
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}
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}

‎.generator/schemas/v1/openapi.yaml‎

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@@ -5156,6 +5156,143 @@ components:
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type: string
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x-enum-varnames:
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- ARITHMETIC_PROCESSOR
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LogsArrayProcessor:
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description: 'A processor for extracting, aggregating, or transforming values
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from JSON arrays within your logs.
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Supported operations are:
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- Select value from matching element
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- Compute array length
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- Append a value to an array'
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properties:
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is_enabled:
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default: false
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description: Whether or not the processor is enabled.
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type: boolean
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name:
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description: Name of the processor.
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type: string
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operation:
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$ref: '#/components/schemas/LogsArrayProcessorOperation'
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type:
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$ref: '#/components/schemas/LogsArrayProcessorType'
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required:
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- operation
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- type
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type: object
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LogsArrayProcessorOperation:
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description: Configuration of the array processor operation to perform.
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oneOf:
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- $ref: '#/components/schemas/LogsArrayProcessorOperationAppend'
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- $ref: '#/components/schemas/LogsArrayProcessorOperationLength'
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- $ref: '#/components/schemas/LogsArrayProcessorOperationSelect'
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LogsArrayProcessorOperationAppend:
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description: Operation that appends a value to a target array attribute.
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properties:
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preserve_source:
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default: true
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description: Remove or preserve the remapped source element.
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type: boolean
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source:
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description: Attribute path containing the value to append.
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example: network.client.ip
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type: string
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target:
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description: Attribute path of the array to append to.
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example: sourceIps
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type: string
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type:
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$ref: '#/components/schemas/LogsArrayProcessorOperationAppendType'
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required:
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- type
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- source
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- target
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type: object
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LogsArrayProcessorOperationAppendType:
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description: Operation type.
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enum:
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- append
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example: append
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type: string
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x-enum-varnames:
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- APPEND
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LogsArrayProcessorOperationLength:
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description: Operation that computes the length of a `source` array and stores
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the result in the `target` attribute.
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properties:
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source:
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description: Attribute path of the array to measure.
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example: tags
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type: string
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target:
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description: Attribute that receives the computed length.
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example: tagCount
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type: string
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type:
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$ref: '#/components/schemas/LogsArrayProcessorOperationLengthType'
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required:
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- type
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- source
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- target
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type: object
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LogsArrayProcessorOperationLengthType:
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description: Operation type.
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enum:
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- length
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example: length
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type: string
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x-enum-varnames:
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- LENGTH
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LogsArrayProcessorOperationSelect:
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description: Operation that finds an object in a `source` array using a `filter`,
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and then extracts a specific value into the `target` attribute.
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properties:
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filter:
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description: Filter condition expressed as `key:value` used to find the
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matching element.
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example: name:Referrer
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type: string
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source:
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description: Attribute path of the array to search into.
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example: httpRequest.headers
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type: string
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target:
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description: Attribute that receives the extracted value.
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example: referrer
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type: string
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type:
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$ref: '#/components/schemas/LogsArrayProcessorOperationSelectType'
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value_to_extract:
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description: Key of the value to extract from the matching element.
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example: value
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type: string
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required:
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- type
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- source
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- target
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- filter
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- value_to_extract
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type: object
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LogsArrayProcessorOperationSelectType:
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description: Operation type.
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enum:
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- select
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example: select
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type: string
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x-enum-varnames:
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- SELECT
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LogsArrayProcessorType:
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default: array-processor
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description: Type of logs array processor.
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enum:
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- array-processor
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example: array-processor
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type: string
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x-enum-varnames:
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- ARRAY_PROCESSOR
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LogsAttributeRemapper:
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description: 'The remapper processor remaps any source attribute(s) or tag to
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another target attribute or tag.
@@ -6053,6 +6190,7 @@ components:
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- $ref: '#/components/schemas/ReferenceTableLogsLookupProcessor'
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- $ref: '#/components/schemas/LogsTraceRemapper'
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- $ref: '#/components/schemas/LogsSpanRemapper'
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- $ref: '#/components/schemas/LogsArrayProcessor'
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LogsQueryCompute:
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description: Define computation for a log query.
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properties:

‎examples/v1/logs-pipelines/CreateLogsPipeline_1248402480.rb‎

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# Create a pipeline with Array Processor Append Operation returns "OK" response
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require "datadog_api_client"
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api_instance = DatadogAPIClient::V1::LogsPipelinesAPI.new
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body = DatadogAPIClient::V1::LogsPipeline.new({
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filter: DatadogAPIClient::V1::LogsFilter.new({
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query: "source:python",
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}),
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name: "testPipelineArrayAppend",
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processors: [
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DatadogAPIClient::V1::LogsArrayProcessor.new({
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type: DatadogAPIClient::V1::LogsArrayProcessorType::ARRAY_PROCESSOR,
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is_enabled: true,
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name: "append_ip_to_array",
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operation: DatadogAPIClient::V1::LogsArrayProcessorOperationAppend.new({
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type: DatadogAPIClient::V1::LogsArrayProcessorOperationAppendType::APPEND,
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source: "network.client.ip",
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target: "sourceIps",
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}),
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}),
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],
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tags: [],
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})
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p api_instance.create_logs_pipeline(body)

‎examples/v1/logs-pipelines/CreateLogsPipeline_1267211320.rb‎

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# Create a pipeline with Array Processor Select Operation returns "OK" response
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require "datadog_api_client"
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api_instance = DatadogAPIClient::V1::LogsPipelinesAPI.new
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body = DatadogAPIClient::V1::LogsPipeline.new({
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filter: DatadogAPIClient::V1::LogsFilter.new({
8+
query: "source:python",
9+
}),
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name: "testPipelineArraySelect",
11+
processors: [
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DatadogAPIClient::V1::LogsArrayProcessor.new({
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type: DatadogAPIClient::V1::LogsArrayProcessorType::ARRAY_PROCESSOR,
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is_enabled: true,
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name: "extract_referrer",
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operation: DatadogAPIClient::V1::LogsArrayProcessorOperationSelect.new({
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type: DatadogAPIClient::V1::LogsArrayProcessorOperationSelectType::SELECT,
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source: "httpRequest.headers",
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target: "referrer",
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filter: "name:Referrer",
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value_to_extract: "value",
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}),
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}),
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],
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tags: [],
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})
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p api_instance.create_logs_pipeline(body)

‎examples/v1/logs-pipelines/CreateLogsPipeline_1271012410.rb‎

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# Create a pipeline with Array Processor Length Operation returns "OK" response
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require "datadog_api_client"
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api_instance = DatadogAPIClient::V1::LogsPipelinesAPI.new
5+
6+
body = DatadogAPIClient::V1::LogsPipeline.new({
7+
filter: DatadogAPIClient::V1::LogsFilter.new({
8+
query: "source:python",
9+
}),
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name: "testPipelineArrayLength",
11+
processors: [
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DatadogAPIClient::V1::LogsArrayProcessor.new({
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type: DatadogAPIClient::V1::LogsArrayProcessorType::ARRAY_PROCESSOR,
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is_enabled: true,
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name: "count_tags",
16+
operation: DatadogAPIClient::V1::LogsArrayProcessorOperationLength.new({
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type: DatadogAPIClient::V1::LogsArrayProcessorOperationLengthType::LENGTH,
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source: "tags",
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target: "tagCount",
20+
}),
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}),
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],
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tags: [],
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})
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p api_instance.create_logs_pipeline(body)

‎examples/v1/logs-pipelines/CreateLogsPipeline_3314493032.rb‎

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# Create a pipeline with Array Processor Append Operation with preserve_source true returns "OK" response
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require "datadog_api_client"
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api_instance = DatadogAPIClient::V1::LogsPipelinesAPI.new
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body = DatadogAPIClient::V1::LogsPipeline.new({
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filter: DatadogAPIClient::V1::LogsFilter.new({
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query: "source:python",
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}),
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name: "testPipelineArrayAppendPreserve",
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processors: [
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DatadogAPIClient::V1::LogsArrayProcessor.new({
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type: DatadogAPIClient::V1::LogsArrayProcessorType::ARRAY_PROCESSOR,
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is_enabled: true,
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name: "append_ip_and_keep_source",
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operation: DatadogAPIClient::V1::LogsArrayProcessorOperationAppend.new({
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type: DatadogAPIClient::V1::LogsArrayProcessorOperationAppendType::APPEND,
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source: "network.client.ip",
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target: "sourceIps",
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preserve_source: true,
21+
}),
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}),
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],
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tags: [],
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})
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p api_instance.create_logs_pipeline(body)

‎examples/v1/logs-pipelines/CreateLogsPipeline_3934594739.rb‎

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# Create a pipeline with Array Processor Append Operation with preserve_source false returns "OK" response
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require "datadog_api_client"
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api_instance = DatadogAPIClient::V1::LogsPipelinesAPI.new
5+
6+
body = DatadogAPIClient::V1::LogsPipeline.new({
7+
filter: DatadogAPIClient::V1::LogsFilter.new({
8+
query: "source:python",
9+
}),
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name: "testPipelineArrayAppendNoPreserve",
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processors: [
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DatadogAPIClient::V1::LogsArrayProcessor.new({
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type: DatadogAPIClient::V1::LogsArrayProcessorType::ARRAY_PROCESSOR,
14+
is_enabled: true,
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name: "append_ip_and_remove_source",
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operation: DatadogAPIClient::V1::LogsArrayProcessorOperationAppend.new({
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type: DatadogAPIClient::V1::LogsArrayProcessorOperationAppendType::APPEND,
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source: "network.client.ip",
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target: "sourceIps",
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preserve_source: false,
21+
}),
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}),
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],
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tags: [],
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})
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p api_instance.create_logs_pipeline(body)

‎features/v1/logs_pipelines.feature‎

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When the request is sent
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Then the response status is 200 OK
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@team:DataDog/event-platform-experience
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Scenario: Create a pipeline with Array Processor Append Operation returns "OK" response
40+
Given new "CreateLogsPipeline" request
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And body with value {"filter": {"query": "source:python"}, "name": "testPipelineArrayAppend", "processors": [{"type": "array-processor", "is_enabled": true, "name": "append_ip_to_array", "operation": {"type": "append", "source": "network.client.ip", "target": "sourceIps"}}], "tags": []}
42+
When the request is sent
43+
Then the response status is 200 OK
44+
45+
@team:DataDog/event-platform-experience
46+
Scenario: Create a pipeline with Array Processor Append Operation with preserve_source false returns "OK" response
47+
Given new "CreateLogsPipeline" request
48+
And body with value {"filter": {"query": "source:python"}, "name": "testPipelineArrayAppendNoPreserve", "processors": [{"type": "array-processor", "is_enabled": true, "name": "append_ip_and_remove_source", "operation": {"type": "append", "source": "network.client.ip", "target": "sourceIps", "preserve_source": false}}], "tags": []}
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When the request is sent
50+
Then the response status is 200 OK
51+
52+
@team:DataDog/event-platform-experience
53+
Scenario: Create a pipeline with Array Processor Append Operation with preserve_source true returns "OK" response
54+
Given new "CreateLogsPipeline" request
55+
And body with value {"filter": {"query": "source:python"}, "name": "testPipelineArrayAppendPreserve", "processors": [{"type": "array-processor", "is_enabled": true, "name": "append_ip_and_keep_source", "operation": {"type": "append", "source": "network.client.ip", "target": "sourceIps", "preserve_source": true}}], "tags": []}
56+
When the request is sent
57+
Then the response status is 200 OK
58+
59+
@team:DataDog/event-platform-experience
60+
Scenario: Create a pipeline with Array Processor Length Operation returns "OK" response
61+
Given new "CreateLogsPipeline" request
62+
And body with value {"filter": {"query": "source:python"}, "name": "testPipelineArrayLength", "processors": [{"type": "array-processor", "is_enabled": true, "name": "count_tags", "operation": {"type": "length", "source": "tags", "target": "tagCount"}}], "tags": []}
63+
When the request is sent
64+
Then the response status is 200 OK
65+
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@team:DataDog/event-platform-experience
67+
Scenario: Create a pipeline with Array Processor Select Operation returns "OK" response
68+
Given new "CreateLogsPipeline" request
69+
And body with value {"filter": {"query": "source:python"}, "name": "testPipelineArraySelect", "processors": [{"type": "array-processor", "is_enabled": true, "name": "extract_referrer", "operation": {"type": "select", "source": "httpRequest.headers", "target": "referrer", "filter": "name:Referrer", "value_to_extract": "value"}}], "tags": []}
70+
When the request is sent
71+
Then the response status is 200 OK
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@team:DataDog/event-platform-experience
3974
Scenario: Create a pipeline with Span Id Remapper returns "OK" response
4075
Given new "CreateLogsPipeline" request

‎lib/datadog_api_client/inflector.rb‎

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"v1.logs_api_error_response" => "LogsAPIErrorResponse",
228228
"v1.logs_arithmetic_processor" => "LogsArithmeticProcessor",
229229
"v1.logs_arithmetic_processor_type" => "LogsArithmeticProcessorType",
230+
"v1.logs_array_processor" => "LogsArrayProcessor",
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"v1.logs_array_processor_operation" => "LogsArrayProcessorOperation",
232+
"v1.logs_array_processor_operation_append" => "LogsArrayProcessorOperationAppend",
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"v1.logs_array_processor_operation_append_type" => "LogsArrayProcessorOperationAppendType",
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"v1.logs_array_processor_operation_length" => "LogsArrayProcessorOperationLength",
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"v1.logs_array_processor_operation_length_type" => "LogsArrayProcessorOperationLengthType",
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"v1.logs_array_processor_operation_select" => "LogsArrayProcessorOperationSelect",
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"v1.logs_array_processor_operation_select_type" => "LogsArrayProcessorOperationSelectType",
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"v1.logs_array_processor_type" => "LogsArrayProcessorType",
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"v1.logs_attribute_remapper" => "LogsAttributeRemapper",
231240
"v1.logs_attribute_remapper_type" => "LogsAttributeRemapperType",
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"v1.logs_by_retention" => "LogsByRetention",

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