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Important: This documentation is about an older version. It's relevant only to the release noted, many of the features and functions have been updated or replaced. Please view the current version.

Open source

otelcol.processor.batch

otelcol.processor.batch accepts telemetry data from other otelcol components and places them into batches. Batching improves the compression of data and reduces the number of outgoing network requests required to transmit data.

NOTE: otelcol.processor.batch is a wrapper over the upstream OpenTelemetry Collector batch processor. Bug reports or feature requests will be redirected to the upstream repository, if necessary.

Multiple otelcol.processor.batch components can be specified by giving them different labels.

Usage

river
otelcol.processor.batch "LABEL" {
  output {
    metrics = [...]
    logs    = [...]
    traces  = [...]
  }
}

Arguments

otelcol.processor.batch supports the following arguments:

NameTypeDescriptionDefaultRequired
timeoutdurationHow long to wait before flushing the batch."200ms"no
send_batch_sizenumberAmount of data to buffer before flushing the batch.8192no
send_batch_max_sizenumberUpper limit of a batch size.0no

otelcol.processor.batch accumulates data into a batch until one of the following events happens:

  • The duration specified by timeout elapses since the time the last batch was sent.

  • The number of spans, log lines, or metric samples processed exceeds the number specified by send_batch_size.

Use send_batch_max_size to limit the amount of data contained in a single batch. When set to 0, batches can be any size.

For example, assume send_batch_size is set to the default 8192 and there are currently 8000 batched spans. If the batch processor receives 8000 more spans at once, the total batch size would be 16,192 which would then be flushed as a single batch. send_batch_max_size constrains how big a batch can get. When set to a non-zero value, send_batch_max_size must be greater or equal to send_batch_size.

Blocks

The following blocks are supported inside the definition of otelcol.processor.batch:

HierarchyBlockDescriptionRequired
outputoutputConfigures where to send received telemetry data.yes

output block

The output block configures a set of components to forward resulting telemetry data to.

The following arguments are supported:

NameTypeDescriptionDefaultRequired
metricslist(otelcol.Consumer)List of consumers to send metrics to.[]no
logslist(otelcol.Consumer)List of consumers to send logs to.[]no
traceslist(otelcol.Consumer)List of consumers to send traces to.[]no

The output block must be specified, but all of its arguments are optional. By default, telemetry data is dropped. To send telemetry data to other components, configure the metrics, logs, and traces arguments accordingly.

Exported fields

The following fields are exported and can be referenced by other components:

NameTypeDescription
inputotelcol.ConsumerA value that other components can use to send telemetry data to.

input accepts otelcol.Consumer data for any telemetry signal (metrics, logs, or traces).

Component health

otelcol.processor.batch is only reported as unhealthy if given an invalid configuration.

Debug information

otelcol.processor.batch does not expose any component-specific debug information.

Example

This example batches telemetry data before sending it to otelcol.exporter.otlp for further processing:

river
otelcol.processor.batch "default" {
  output {
    metrics = [otelcol.exporter.otlp.production.input]
    logs    = [otelcol.exporter.otlp.production.input]
    traces  = [otelcol.exporter.otlp.production.input]
  }
}

otelcol.exporter.otlp "production" {
  client {
    endpoint = env("OTLP_SERVER_ENDPOINT")
  }
}